{"as_of":"2026-08-10T12:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:605f589d5520f3f18dd56d570e28b49dd07b8a728d2da55091acbf77aa131a2c","coverage":[{"denominator":102,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T20:57:43.713954Z","state":"measured"},{"denominator":103,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":103,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T03:09:59.710039Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-25T03:10:16.809113Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"cited_work":{"arxiv_id":"2502.04951","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.04951","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2502.04951 , year=","venue":null,"work_id":"bf8af69c-c1a5-4332-88e0-fbacae22e121","year":2025},"citing_paper":{"arxiv_id":"2510.09689","last_updated":"2026-04-17T02:42:09Z","snapshot_observed_at":"2026-07-06T22:32:22.953630Z","submitted_at":"2025-10-09T09:44:14Z","title":"When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-18T09:29:14.842228Z"},"links":{"cited_paper":"/paper/2502.04951","citing_paper":"/paper/2510.09689"},"observation_digest":"sha256:d7213494cf2f80efde97d084ae6659fdec5093598c7b3e0230626365d199a02b","observation_id":"662b3739-e640-405a-b01f-e04529e1f58e","resolution":{"observed_at":"2026-05-18T09:31:11.626255Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"cited_work":{"arxiv_id":"2502.04951","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.04951","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2502.04951 , year=","venue":null,"work_id":"bf8af69c-c1a5-4332-88e0-fbacae22e121","year":2025},"citing_paper":{"arxiv_id":"2605.03129","last_updated":"2026-05-04T20:13:22Z","snapshot_observed_at":"2026-07-06T23:16:05.372336Z","submitted_at":"2026-05-04T20:13:22Z","title":"PIIGuard: Mitigating PII Harvesting under Adversarial Sanitization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T17:49:39.533090Z"},"links":{"cited_paper":"/paper/2502.04951","citing_paper":"/paper/2605.03129"},"observation_digest":"sha256:de3178dd9f6b71bc3c0e3f546e5d4d24aac8d98984d93ec769c7f575783d554e","observation_id":"a51b35e1-c53d-4905-ab11-3a805fa62133","resolution":{"observed_at":"2026-05-11T17:11:15.272280Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"cited_work":{"arxiv_id":"2502.04951","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.04951","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2502.04951 , year=","venue":null,"work_id":"bf8af69c-c1a5-4332-88e0-fbacae22e121","year":2025},"citing_paper":{"arxiv_id":"2605.23684","last_updated":"2026-05-22T14:33:52Z","snapshot_observed_at":"2026-08-08T08:44:26.396119Z","submitted_at":"2026-05-22T14:33:52Z","title":"Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-25T03:09:59.710039Z"},"links":{"cited_paper":"/paper/2502.04951","citing_paper":"/paper/2605.23684"},"observation_digest":"sha256:ad399eaa4ac06461935248aaf97153303cb06ebf9a405f0e1c19f62841070b02","observation_id":"f6a58ea5-a3d7-42d5-a8da-0c324b905f4c","resolution":{"observed_at":"2026-05-25T03:10:16.811358Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.04951/citation-record","integrity":"/paper/2502.04951/integrity","json":"/paper/2502.04951/citation-record.json","paper":"/paper/2502.04951"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.308805Z","title":"https://chat.openai.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.308805Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:e10fc3d382dfc9ff7148c841855fb7b6838bf34eee7292f9bba96c58e2c7c4ba","observation_id":"898bd2b6-4e33-414d-9bc8-724b607e8194","resolution":{"observed_at":"2026-08-08T20:57:43.308805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.315167Z","title":"https://checkphish.bolster.ai/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.315167Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:9cc28dbf8a8086fed648296b07561f30b43f6abc1900ffef07650b5d055083e5","observation_id":"707d991b-9887-4f82-be96-e3beacb0621e","resolution":{"observed_at":"2026-08-08T20:57:43.315167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.319815Z","title":"https://www.doubao.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.319815Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:2f2e6a448cd66cfae72de4d2779ecf63ab00e34b6195c0fde468a3e02ad8152b","observation_id":"bd292d28-94e8-4f04-8930-9bb3d62fd732","resolution":{"observed_at":"2026-08-08T20:57:43.319815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.324280Z","title":"https://www.google.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.324280Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:95eb9719c62560470f7abc7ea07866bf3528bf56431fb363e734396127df784c","observation_id":"975e7e90-90ac-44ca-b538-d4a4f6906e3c","resolution":{"observed_at":"2026-08-08T20:57:43.324280Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.328805Z","title":"https://trends.google.com/ trends/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.328805Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:2b2e12ac3a4fc8bb0043c2f360f9c3910bfe811f3567031661ee95c4df3aa484","observation_id":"353dc71d-fa9c-4e57-a0c0-243fe4a02997","resolution":{"observed_at":"2026-08-08T20:57:43.328805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.333185Z","title":"https://x.ai/grok, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.333185Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:8cdb2c661d23d00dc4e8601aa1b8650459fa2f54ef2a08d6d03354dc7373586f","observation_id":"15e3eb14-34c1-461e-8ee1-5c95e3ea8768","resolution":{"observed_at":"2026-08-08T20:57:43.333185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.338138Z","title":"https://kimi.moonshot.cn/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.338138Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:af2717b533e374c3638b4d2389849b79df0dec92ecbaf4e631cace2b0f3a64c2","observation_id":"742ca265-8524-4a87-a18f-2fc74c6debfc","resolution":{"observed_at":"2026-08-08T20:57:43.338138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.342387Z","title":"https://otx.alienvault.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.342387Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:c6d08849b9c52e1c497ea62023edc3dc8b909e5067818b255e1afce4e5b2c385","observation_id":"47353eb3-9e35-4dff-b594-2d5d5c968b7a","resolution":{"observed_at":"2026-08-08T20:57:43.342387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.346444Z","title":"https://metamask.io/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.346444Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:21a47d5069cf79bbfdaf0d46fa63173cb99644ed9456787b34191717c85405d6","observation_id":"f3686bfd-bf44-454a-8835-2052b8da4b57","resolution":{"observed_at":"2026-08-08T20:57:43.346444Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.350513Z","title":"https://www.bing.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.350513Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:a419ebcb64595011ce488cdacbb1fa884e8e8f934dd9ceca5ba52e09bac44be5","observation_id":"54b442b5-81f0-4779-aefd-eaced35e98c0","resolution":{"observed_at":"2026-08-08T20:57:43.350513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.354477Z","title":"https://copilot.microsoft","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.354477Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:3dbc963dcfc51cab7d056737fc5ea6eaa69820d413122b51120d568ac8b2ae18","observation_id":"f57341b6-302a-4286-807d-a29ed3aef962","resolution":{"observed_at":"2026-08-08T20:57:43.354477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.358160Z","title":"https://platform.openai.com/docs/ models/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.358160Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:8e9ead670554639ae93e6deaaf40a4d245423023750a39241ef230c4f785b1fc","observation_id":"e64996b5-a921-43fb-9e0b-0c3eff4472ee","resolution":{"observed_at":"2026-08-08T20:57:43.358160Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.361748Z","title":"https://www.perplexity.ai/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.361748Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:aeef5f667adf873d48073b89edb32aa15e16cb666dd864fe9df5ba47df677a4a","observation_id":"d4f65d4c-1f98-4a34-89fc-fd238505ed55","resolution":{"observed_at":"2026-08-08T20:57:43.361748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.365527Z","title":"https://phishtank.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.365527Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:4ea0963995ad33ee05cba168bef5d57be8423074c2ee7fe53f70ff7fbf3eab67","observation_id":"cbb6e491-e5f3-4e63-b131-d9faf39aa977","resolution":{"observed_at":"2026-08-08T20:57:43.365527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.369407Z","title":"https://www.quora.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.369407Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:ef380175031b9441ec77cee6ed2838dd4b7ab77664546151d5d04c1d70fe19ed","observation_id":"35704046-3256-4b77-b136-2ebe12f7d4da","resolution":{"observed_at":"2026-08-08T20:57:43.369407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.373155Z","title":"https://www.scamadviser.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.373155Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:32762ac6b23b106a32079e604edc4e346ddaa32efad13313a5498445ba287439","observation_id":"d6f9d5a5-f4ee-4974-b8a9-e7138ab60994","resolution":{"observed_at":"2026-08-08T20:57:43.373155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.376858Z","title":"https://www.surbl.org/surbl-analysis/ lookup, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.376858Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:f862837c15fef1ba665d1d5ee7f05e031d17db5c6a51ebb20f03dbbe7e2c0ef4","observation_id":"5ec666c1-838e-4a03-87ba-401ec687f3a6","resolution":{"observed_at":"2026-08-08T20:57:43.376858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.380518Z","title":"https://app.textcortex.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.380518Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:57c9d0f244ded0e7dae79377bb2deb6c99185b028b2da8903d7a3636647b0d44","observation_id":"099c4f4b-2590-4670-8870-3aed9a9803e5","resolution":{"observed_at":"2026-08-08T20:57:43.380518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.384377Z","title":"https://x.threatbook.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.384377Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:a4d96ced73396ac7c6d8f4b331319c430607b6ea6f6d5706b8019535a5069087","observation_id":"0d530701-3437-43fa-a0db-b0537786127e","resolution":{"observed_at":"2026-08-08T20:57:43.384377Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.387970Z","title":"https://www.wikipedia.org/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.387970Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:06da05e7605c6799892743c7bf13c9cd188a706075467fd4b9fe35d4c433b5f7","observation_id":"61f13988-d148-4894-82d5-b2ccf182ac34","resolution":{"observed_at":"2026-08-08T20:57:43.387970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.391862Z","title":"https://x.com/, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.391862Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:c873a96d53567d309c89b5705e9022ba65f7c0ad0babd66372a89432caab4011","observation_id":"4f1fc4f2-b616-43da-adeb-0e7aceb98c2d","resolution":{"observed_at":"2026-08-08T20:57:43.391862Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.395789Z","title":"Visualphishnet: Zero-day phishing website detection by visual similarity","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.395789Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:96e1557b2a560d6fe1176b1e7ecf5d75b350e10582429a3d2b906ba16e6cb0a9","observation_id":"d3e206aa-51b7-4925-9df3-7f5d880fd9a1","resolution":{"observed_at":"2026-08-08T20:57:43.395789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.138092Z","title":"Phishing attacks detection using machine learning approach","venue":null,"work_id":"76aab66d-3911-4a17-99c7-1bc3f4089a98","year":2020},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.399873Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:10b492e9ab27181d6c93750be9fdfcadb530c7b93c85d340908abe6f5b76421e","observation_id":"7c07afa3-7b78-4a09-880d-71943bf241fa","resolution":{"observed_at":"2026-08-08T20:57:45.142263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.123449Z","title":"A survey of intelligent detection designs of html url phishing attacks","venue":null,"work_id":"59b4f268-2914-45ef-ac43-4c56e4cef1b6","year":2023},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.403865Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:3a72ee3a01ae11f15c1ad5d466272022c1133cc0bf9935804ab74e143e02e317","observation_id":"1541d079-477f-452c-82a6-cfc109827064","resolution":{"observed_at":"2026-08-08T20:57:45.128284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.108358Z","title":"A survey of url-based phishing detection","venue":null,"work_id":"9e2151b5-7e61-4bd3-8ff5-d999919fecb0","year":2019},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.407663Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:2915e4cd4dbcbe39de916c0aa3a3ee52e148a5631adb16400a808693f4c304c4","observation_id":"ee9ac716-c78b-4486-aefb-7b0c2b97b452","resolution":{"observed_at":"2026-08-08T20:57:45.113174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.093576Z","title":"Language models are few-shot learners","venue":null,"work_id":"934ded31-8463-4871-aae3-6fa6cffb724f","year":2020},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.411377Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:bb5d61bc241dce713c86816c47feda76624c77de807a14dfd7723cf4a3471069","observation_id":"afe93cbc-f010-4823-bb18-63512915c929","resolution":{"observed_at":"2026-08-08T20:57:45.098136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.078833Z","title":"Xgboost: A scal- able tree boosting system","venue":null,"work_id":"48d607a7-c5bb-4957-b91c-12badc4273c0","year":2016},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.415322Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:1d998a70df174cc144c277b4e82e3388cb3200a76c11dbdf997ac048823ef184","observation_id":"9396343f-4595-4168-b946-e061f00c359f","resolution":{"observed_at":"2026-08-08T20:57:45.083656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13401","last_updated":"2024-07-07T05:03:53Z","snapshot_observed_at":"2026-07-06T18:17:46.369537Z","submitted_at":"2024-05-22T07:21:32Z","title":"TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13401","snapshot_observed_at":"2026-08-08T20:57:43.419115Z","title":"Trojanrag: Retrieval-augmented generation can be back- door driver in large language models.arXiv:2405.13401, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.419115Z"},"links":{"cited_paper":"/paper/2405.13401","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:86b958ace4bc5c9a1fe33b0a500ce48bd1fb9e412d2b5f9e918eaf6a666822e0","observation_id":"5ac5dd6b-8dd1-4f83-bbd8-90ec25ef1c92","resolution":{"observed_at":"2026-08-08T20:57:43.419115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.064607Z","title":"Weighted kappa: Nominal scale agree- ment provision for scaled disagreement or partial credit","venue":null,"work_id":"5bd76877-58d1-428e-ac1f-a9950930677c","year":1968},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.423254Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:8b746d7aa107b2fe0c7557bd1a303faad85f9c654089bb241b77d891eab1be76","observation_id":"7b42186d-5d0c-4cda-834c-b22da834504a","resolution":{"observed_at":"2026-08-08T20:57:45.069315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.050926Z","title":"Llm-based edge intelligence: A com- prehensive survey on architectures, applications, secu- rity and trustworthiness","venue":null,"work_id":"a703e44d-d37d-45fa-9cba-835c6f714a8d","year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.427200Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:c4293441aa8838ef41af3ef621fbe18d1c2025e3b62c389cb61b55de191e0bab","observation_id":"53f49bb9-8540-4aed-8de9-a97d8abc7b26","resolution":{"observed_at":"2026-08-08T20:57:45.055046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-08T20:57:43.430984Z","title":"Retrieval-augmented generation for large language models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.430984Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:c975a8750b814a7ae4df78c78f4ee7cd42db0857384380913fbce10a6666a6cd","observation_id":"4f2836e4-0324-40a1-87db-814a8365b25a","resolution":{"observed_at":"2026-08-08T20:57:43.430984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"articles/1035290","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.226742Z","title":"What is perplexity pro? https://www.perplexity.ai/help-center/en/ articles/10352901-what-is-perplexity-pro , 2025","venue":null,"work_id":"bf330d41-5002-402c-af24-4af9bae57e47","year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.434988Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:a1f1440e5c4dd3ef1853c31f2f3a27a223cd26acc4c81a947fafcfac8fdd0375","observation_id":"8231307f-370e-4cd2-9f7f-e9de51d90e1f","resolution":{"observed_at":"2026-08-08T20:57:44.233557Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.037588Z","title":"Safety misalignment against large language models","venue":null,"work_id":"04483d3c-811d-4749-8fce-184f02afa715","year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.438796Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:597541f52fda3ca2a7d0617a95cfffcddf75caa1e0066fbec411b94b5ed955ce","observation_id":"e4799705-8f12-4ea2-891f-be902ad48093","resolution":{"observed_at":"2026-08-08T20:57:45.041705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.024170Z","title":"Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injec- tion","venue":null,"work_id":"a6f04ca4-3aee-4475-8ef0-ff0b5b53c9d6","year":2023},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.442440Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:cc6249d5e0906c710b2e6904d1f35d97277d39b3686030de381c7ca9759ad4fd","observation_id":"da3cabd1-47f2-4366-91b6-400e2656eb2e","resolution":{"observed_at":"2026-08-08T20:57:45.028496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:45.009813Z","title":"Artificial intelligence security and privacy: a survey.Sci- ence China Information Sciences, 2025","venue":null,"work_id":"e6c882e6-0314-42e4-a70f-04ace4417f94","year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.446385Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:cd80da632308b2ef7078b366ecb22fd6c635b6d19e6971d7e5dd79364e36d4c2","observation_id":"9fa4fa75-8c8e-4a89-a526-117fda84c86c","resolution":{"observed_at":"2026-08-08T20:57:45.014337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.996300Z","title":null,"venue":null,"work_id":"d56519d4-87c1-4d0e-88ac-6b5abbd8f18b","year":2019},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.450114Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:06e801341d7461acb1db9fb7c1646d62dc692e96570ac8b558eeb31102551eef","observation_id":"2f5de104-60e3-4a0e-98f6-10d10cb1eed4","resolution":{"observed_at":"2026-08-08T20:57:45.000354Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.981679Z","title":"Survey of hallucination in natural language generation","venue":null,"work_id":"3cb3f8f5-2a63-4112-9a28-7b4da1433e2b","year":2023},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.454015Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:e6fe0ef994ad9ecd6ab24e0eed7be4d6812816dda19f5fee6f6bfd2007dd5119","observation_id":"2ce236ea-cdfc-45d9-afbe-c8e1320e2eef","resolution":{"observed_at":"2026-08-08T20:57:44.986329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.966926Z","title":"Phishing webpage detection: Unveiling the threat land- scape and investigating detection techniques","venue":null,"work_id":"6c8dc61f-bd49-4d63-bd06-df67b96ab712","year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.457888Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:570e28d841f9f7c679c983c36d344c6f7fc34fe8d218c7f380b7b5ef70fdf669","observation_id":"0e5233b7-5d3a-46c0-8d9a-695cfc4b4d9b","resolution":{"observed_at":"2026-08-08T20:57:44.971288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.952176Z","title":"The measurement of observer agreement for categorical data","venue":null,"work_id":"9afe7e0e-20f5-46c0-bebd-a3beedea9021","year":1977},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.461558Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:1d505a07c5cdbddb6b764c9a1916e1b6cab9af15d44ad8f4471bb59fc152beb6","observation_id":"6f1d9587-67e2-4071-a1e9-4a00441e843f","resolution":{"observed_at":"2026-08-08T20:57:44.956674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.03162","last_updated":"2018-03-02T03:42:49Z","snapshot_observed_at":"2026-07-06T06:22:31.146439Z","submitted_at":"2018-02-09T08:07:13Z","title":"URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.03162","snapshot_observed_at":"2026-08-08T20:57:43.465798Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.465798Z"},"links":{"cited_paper":"/paper/1802.03162","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:5eb8d72bbf7d0c028ff7df814b72c2bf3a5b51b04071b703d6600d19e86d15cc","observation_id":"187687e9-8d38-444a-9715-97937e4550bf","resolution":{"observed_at":"2026-08-08T20:57:43.465798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.938708Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","venue":null,"work_id":"bb30ba66-d48a-441d-9663-d7c9c82ae1f3","year":2020},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.470373Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:fa37d720ffb1973d74330cbe31ef3fbf24c91151181386edba01633d6e2bad77","observation_id":"ece254ef-5935-47a8-9ce0-77d0b353b8d0","resolution":{"observed_at":"2026-08-08T20:57:44.942672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.923958Z","title":"Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages","venue":null,"work_id":"3787f38e-2eb7-4e05-ba9c-c8f5a9317d25","year":2021},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.474774Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:80b46f6da19ac92bde22c0ec5fa555a71ef5ac1867a468ec523ab0eebba69f2d","observation_id":"9164ebcd-dc2b-4946-a490-b5ca605593df","resolution":{"observed_at":"2026-08-08T20:57:44.928693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.907779Z","title":"Less defined knowl- edge and more true alarms: Reference-based phishing detection without a pre-defined reference list","venue":null,"work_id":"2f7452b1-815f-4c51-89d9-f378ec23a5e9","year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.480277Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:c9eccfa8478570279ba8d6bd4f18b9c4775200cf4674ae8e70759a8e6ca16fc1","observation_id":"b6e60825-d0af-458b-a0a7-21d089009536","resolution":{"observed_at":"2026-08-08T20:57:44.913110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.892098Z","title":"Inferring phishing intention via webpage appearance and dynam- ics: A deep vision based approach","venue":null,"work_id":"fbb6911e-82cd-40df-8d13-69588af4a306","year":2022},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.484636Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:1679076758d87571ecd1b7292df5dea55643bef06af26561b05435408bb7acb5","observation_id":"28ba13d0-b6b0-4036-b65e-ffacd82bc6a3","resolution":{"observed_at":"2026-08-08T20:57:44.896872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04957","last_updated":"2024-03-07T23:46:20Z","snapshot_observed_at":"2026-08-08T04:50:42.660630Z","submitted_at":"2024-03-07T23:46:20Z","title":"Automatic and Universal Prompt Injection Attacks against Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.04957","snapshot_observed_at":"2026-08-08T20:57:43.488821Z","title":"Automatic and universal prompt injection attacks against large language mod- els","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.488821Z"},"links":{"cited_paper":"/paper/2403.04957","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:bafad405c5ce002ee132d788df653decb470b378d573698cd3089e560f4a3289","observation_id":"4e27f4c2-676e-4012-9ade-1c690c0c6c55","resolution":{"observed_at":"2026-08-08T20:57:43.488821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.19530","last_updated":"2024-11-29T08:05:50Z","snapshot_observed_at":"2026-08-04T03:09:02.218348Z","submitted_at":"2024-11-29T08:05:50Z","title":"Quantized Delta Weight Is Safety Keeper","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.19530","snapshot_observed_at":"2026-08-08T20:57:43.493412Z","title":"Quan- tized delta weight is safety keeper","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.493412Z"},"links":{"cited_paper":"/paper/2411.19530","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:f9080ffcea453374dad42b771a0c8d44a375b47d859818217fd36e46fd58dde7","observation_id":"d6b70b97-688d-42a1-a6f8-1a5af3205360","resolution":{"observed_at":"2026-08-08T20:57:43.493412Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.876774Z","title":"Saul, Stefan Savage, and Geof- frey M","venue":null,"work_id":"29e6959e-5710-45d9-8c41-32783b04a5ca","year":2009},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.499013Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:72a0268df2231cc6783fd432847704007391f78ac47846a50b3b92a4da84f1c4","observation_id":"241ae5c1-707f-4d79-9f3b-cfd55a6867f1","resolution":{"observed_at":"2026-08-08T20:57:44.881495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1102.0831","last_updated":"2011-02-04T03:56:09Z","snapshot_observed_at":"2026-08-09T12:09:30.588733Z","submitted_at":"2011-02-04T03:56:09Z","title":"Intelligent Semantic Web Search Engines: A Brief Survey","version":1},"cited_work":{"arxiv_id":"1102.0831","doi":null,"metadata_source":"pith","pith_arxiv_id":"1102.0831","snapshot_observed_at":"2026-08-08T20:57:44.095683Z","title":"Intelligent Semantic Web Search Engines: A Brief Survey","venue":"cs.AI","work_id":"a60b2755-8655-414b-9cbe-707da22a4987","year":2011},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.503089Z"},"links":{"cited_paper":"/paper/1102.0831","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:6b50ad62fea41d0b09faf82febbdcd565825a921f052232844c293983084e179","observation_id":"20de46c2-d8c5-499f-b087-103ea73c8f2d","resolution":{"observed_at":"2026-08-08T20:57:44.101862Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.862251Z","title":"Ghorbani","venue":null,"work_id":"fe614353-2217-4bba-9076-210698504684","year":2016},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.507207Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:a43fcb4add3d9b8fb26c0ce2f6651798dbce71a4454e7cab82584333fb80c9b7","observation_id":"f63b65a9-cced-4276-898c-80eeb8e795c6","resolution":{"observed_at":"2026-08-08T20:57:44.866370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.848095Z","title":"Phishing-alarm: Robust and efficient phishing detection via page component similarity","venue":null,"work_id":"1ad41cc6-2d15-434d-b325-577c89993846","year":2017},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.510945Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:f83227b1abf3060eac8dd2310894e63a9ba06667283c21fb7e6d7ececa10873d","observation_id":"461db5a3-b76e-4f36-851b-a4311b23eb2e","resolution":{"observed_at":"2026-08-08T20:57:44.852641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.832802Z","title":"Visual-similarity-based phishing detection","venue":null,"work_id":"f61e60a6-0f8a-44a3-8359-4fe907c393e2","year":2008},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.514755Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:e4a1530f3d5d82bebc1e9f09e96b834a17f2160030af78c294d2d1e8a93d7ee4","observation_id":"bcd1841b-7b9b-49fe-889b-4f0e417a6390","resolution":{"observed_at":"2026-08-08T20:57:44.837753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-08T20:57:43.518386Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.518386Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:eacd57c75035d1b2e0e9542515cc436d00ad76f377ca0aa345f2dba43e274bce","observation_id":"497a8595-ecbb-4de9-835b-a42fcede5934","resolution":{"observed_at":"2026-08-08T20:57:43.518386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.18382","last_updated":"2024-07-02T08:56:48Z","snapshot_observed_at":"2026-07-06T18:37:21.973331Z","submitted_at":"2024-06-26T14:24:51Z","title":"Adversarial Search Engine Optimization for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.18382","snapshot_observed_at":"2026-08-08T20:57:43.522329Z","title":"Adversarial search engine optimization for large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.522329Z"},"links":{"cited_paper":"/paper/2406.18382","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:71720fe1f3c528e967feb227322a3e4edfe1435ff5adee9a708428a5db4b528f","observation_id":"c2b34cd0-1d93-4f09-8b81-912b7c9da2c2","resolution":{"observed_at":"2026-08-08T20:57:43.522329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12779","last_updated":"2024-08-23T00:57:37Z","snapshot_observed_at":"2026-08-06T00:30:45.797890Z","submitted_at":"2024-08-23T00:57:37Z","title":"Investigating LLM Applications in E-Commerce","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12779","snapshot_observed_at":"2026-08-08T20:57:43.526395Z","title":"Investigating llm applications in e-commerce","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.526395Z"},"links":{"cited_paper":"/paper/2408.12779","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:495d9ec75769529565cb04243abd3f9c40b48ef421932316bc6291ca0d80e757","observation_id":"b21d8a80-fc67-4fce-b6c9-ed19e26bb126","resolution":{"observed_at":"2026-08-08T20:57:43.526395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.530388Z","title":"Jalmbench: Benchmark- ing jailbreak vulnerabilities in audio language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.530388Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:db879477f4074a52c41a1c34861ec69a412ee437e1911d500e459f234e7bec34","observation_id":"ca384b86-44e2-43e8-bb81-9d5e7d2d6e68","resolution":{"observed_at":"2026-08-08T20:57:43.530388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.534240Z","title":"Ignore previous prompt: Attack techniques for language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.534240Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:38e9dbf81e8d4ae40da5b9627517915c231ec3d2eeb83d13648d1a519360fe8e","observation_id":"744b5ab6-9e0d-4de8-aadf-3b4830d6298a","resolution":{"observed_at":"2026-08-08T20:57:43.534240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.808933Z","title":"Detec- tion of phishing websites using an efficient feature-based machine learning framework","venue":null,"work_id":"f48ad019-e70b-475f-89a6-64a9c686ec5f","year":2019},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.538156Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:356777a6c8c0cbddcf943657a03f50c21f9e845a35bb82678630a04ba009e43c","observation_id":"72cf1db4-feb5-42c8-836d-0bceba8915c5","resolution":{"observed_at":"2026-08-08T20:57:44.812984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.795802Z","title":"A brief review on search engine optimization","venue":null,"work_id":"1aa13272-e41d-4994-adaa-e0a4cab8d924","year":2019},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.542322Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:a36b2cf587a1e9665ab03983915a19551a87e220a45d27e42e624d7a7cae8a08","observation_id":"a318998e-0524-4168-a3ce-b148861781df","resolution":{"observed_at":"2026-08-08T20:57:44.799813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.782735Z","title":"Somesha, Alwyn Roshan Pais, Routhu Srinivasa Rao, and Vikram Singh Rathour","venue":null,"work_id":"db841c9d-29c5-4d1e-8560-1fb3993df2aa","year":2020},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.546496Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:0cce1fdb2c7ef74a5e23d0c4fc83602f5548a1442ff4a2fd0a1536f5d58c5711","observation_id":"1e6e3a5d-fef0-4ff6-8c5c-9ed3261c92f2","resolution":{"observed_at":"2026-08-08T20:57:44.786674Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.769726Z","title":"Rothschild, Daniel G","venue":null,"work_id":"2f3646e1-4a83-4ac1-9da5-282aa9d16b43","year":2023},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.550243Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:6b9be711c0063424c650ce2c955b85dd1de9dad7dc19324b774cd16c7f3a03e6","observation_id":"f53aa59a-7139-4f6d-85f7-52159075e043","resolution":{"observed_at":"2026-08-08T20:57:44.773714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.756331Z","title":"A survey on semantic web search engine","venue":null,"work_id":"a8d80901-a54c-40db-9cf0-758add908116","year":2012},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.554368Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:7400d703ccec9c114f094572014c0b5bf8dcb317763f2d85b53a557ff7d92247","observation_id":"31f63575-9209-4aa1-b089-089200a2c28a","resolution":{"observed_at":"2026-08-08T20:57:44.760398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.743607Z","title":"Peftguard: Detecting backdoor attacks against parameter-efficient fine-tuning","venue":null,"work_id":"644e7e0e-3515-418d-b1c6-a916d1916d42","year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.558254Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:0054da88a81687fbb8d70fac274da7aeec85145828cacf91370f15ea4f88ff4b","observation_id":"432ba8ad-b83f-4991-8766-3276148e5cf0","resolution":{"observed_at":"2026-08-08T20:57:44.747581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.730146Z","title":"Glue pizza and eat rocks - exploiting vulnerabilities in retrieval-augmented generative models","venue":null,"work_id":"7e6ee052-7afd-4055-8504-80273c1f34b1","year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.562209Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:562be12ab48d95fd632d3d9842eaec059464ed6124f36ffc70d54752659a0a3b","observation_id":"6b306c5d-3278-4c30-8665-064781035636","resolution":{"observed_at":"2026-08-08T20:57:44.734763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.716946Z","title":"A compre- hensive survey on poisoning attacks and countermea- sures in machine learning","venue":null,"work_id":"be9659d3-277e-4c57-b15c-e3ee6d36802d","year":2022},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.566090Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:bfea1d1003659f20182faa8f1664e4949eff04f4c16506fb19fb265918d99cb9","observation_id":"5239e70e-79c1-4205-b11b-9c0c99273e56","resolution":{"observed_at":"2026-08-08T20:57:44.721356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.702646Z","title":"Creating large language model applications utilizing langchain: A primer on developing llm apps fast.International Con- ference on Applied Engineering and Natural Sciences, 2023","venue":null,"work_id":"74a987b8-fd1a-49ab-bcf7-da066f4e674b","year":2023},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.569803Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:2ebb7898a62e47bdff803163f04b083d0cd9a842818a55bdbd5f031e4cbda0a5","observation_id":"2621ea77-d6e7-4858-98de-294e0e2dca01","resolution":{"observed_at":"2026-08-08T20:57:44.707380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.687969Z","title":"Hunting malicious tls certificates with deep neural networks","venue":null,"work_id":"5e93c48a-b21b-4f73-9e85-7f17776ba8de","year":2018},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.573546Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:b82925d72ee7f9b917e1fa74ea540ec01158d50a69d0f97f43f57d3c83d96973","observation_id":"f3fcc5b5-0bc2-4157-bc41-07aadfb88e74","resolution":{"observed_at":"2026-08-08T20:57:44.692596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.672279Z","title":"Attention is all you need","venue":null,"work_id":"47d22eb7-a7ce-4c2d-82c9-121340ce33c7","year":2017},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.577640Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:7bbf4966c8b6599cf1f24d7eeecd23a228d78320fd6fda231b72db5042c451c7","observation_id":"e9cc970b-4ea8-4d2c-8408-6fd7c5c8d1d7","resolution":{"observed_at":"2026-08-08T20:57:44.677990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.658204Z","title":"Chain-of-thought prompting elicits reasoning in large language models","venue":null,"work_id":"fbea5c86-2f0a-4081-a457-9f9e4505e81e","year":2022},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.581485Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:9f3dbfd95aa5bafb05dcdd8f691ffcd5c9a9db0815fd5283753537821d1f9287","observation_id":"88ac13d6-ddce-4085-b9d5-13cddb052e12","resolution":{"observed_at":"2026-08-08T20:57:44.662383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08155","last_updated":"2023-10-03T20:47:10Z","snapshot_observed_at":"2026-08-08T22:28:26.004138Z","submitted_at":"2023-08-16T05:57:52Z","title":"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08155","snapshot_observed_at":"2026-08-08T20:57:43.585304Z","title":"Auto- gen: Enabling next-gen llm applications via multi-agent conversation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.585304Z"},"links":{"cited_paper":"/paper/2308.08155","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:5fa93099678e46f217de6f2543f482bab86cc8aed939e2be10efdf86eabf9e6e","observation_id":"94e24a9f-061c-4bcb-85b2-7f55be0e4ec0","resolution":{"observed_at":"2026-08-08T20:57:43.585304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.644292Z","title":"A comprehensive study of jailbreak attack versus defense for large language models","venue":null,"work_id":"52185a7b-ab6e-4e40-9258-ead644bf75cc","year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.589513Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:193a4db74c78f1d61934c1ea3d5f709df0a51ff980e53959d815ff35f14d3912","observation_id":"9e5df8e4-d61f-4874-9e44-da2ef5f942d4","resolution":{"observed_at":"2026-08-08T20:57:44.648761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-08T20:57:43.593279Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.593279Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:837e34ec5e85b35b1a127ce792d0b19bb9c0a1befbb42e47c87291a8e0bd664a","observation_id":"d67bea61-0fbb-4b2e-8bdf-fc693e254edf","resolution":{"observed_at":"2026-08-08T20:57:43.593279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.630551Z","title":"Data poisoning attacks against machine learning algorithms","venue":null,"work_id":"d0c79dcb-dc3d-4428-9a94-c4308fb9bb19","year":2022},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.597854Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:3a3c432a61d58412098ea21c2166e6c2bfea89b86f959e2c8394608a2070bfa8","observation_id":"42ef0b05-c04d-4001-969d-0ea98f067224","resolution":{"observed_at":"2026-08-08T20:57:44.634916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14197","last_updated":"2025-01-27T08:51:16Z","snapshot_observed_at":"2026-07-06T17:06:45.522731Z","submitted_at":"2023-12-21T01:08:39Z","title":"Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14197","snapshot_observed_at":"2026-08-08T20:57:43.602204Z","title":"Bench- marking and defending against indirect prompt injection attacks on large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.602204Z"},"links":{"cited_paper":"/paper/2312.14197","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:ee537ad8bab56987709ce83845b9c084721db00cb3f038ad3445a0e7967fb323","observation_id":"8bcc4d61-5791-4f0f-9293-c6aa22d3d377","resolution":{"observed_at":"2026-08-08T20:57:43.602204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04295","last_updated":"2024-08-30T11:57:47Z","snapshot_observed_at":"2026-08-04T23:34:13.332065Z","submitted_at":"2024-07-05T06:57:30Z","title":"Jailbreak Attacks and Defenses Against Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04295","snapshot_observed_at":"2026-08-08T20:57:43.606806Z","title":"Jailbreak attacks and defenses against large language models: A survey","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.606806Z"},"links":{"cited_paper":"/paper/2407.04295","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:955f226d6924256216e7f58b7bf6aed60e35f59238e18ce83ee47d5369823c54","observation_id":"14a2e49c-b973-413f-abd0-857e3691e2a6","resolution":{"observed_at":"2026-08-08T20:57:43.606806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:43.611542Z","title":"Fc-attack: Jailbreaking large vision-language models via auto-generated flowcharts","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.611542Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:e9d629d89e7449e58a66c126efc7707adfcf605a95b5a87ceb42993d8d788227","observation_id":"5dc885e7-71d5-41fa-aa77-466f672738cb","resolution":{"observed_at":"2026-08-08T20:57:43.611542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.616489Z","title":"Cl-attack: Textual backdoor attacks via cross-lingual triggers","venue":null,"work_id":"247d5aa0-69ff-4720-b26b-93f8e1ddd231","year":2025},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.615830Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:3c9447d01126b0917e149b419b6ecdf12ca1e0f8f185bb70d200736451de5652","observation_id":"383d3700-170e-4f16-b0fd-f78cf81365da","resolution":{"observed_at":"2026-08-08T20:57:44.621021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.602529Z","title":"Phishing or not phishing? a survey on the detection of phishing websites","venue":null,"work_id":"c398b1a3-568d-4b77-9c1e-68e0795d87aa","year":2023},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.620025Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:4e447bd47216b7355a6023bd41feb41f33dc8ee27afc9458aaeaffd1b7b8e853","observation_id":"62f9c640-e219-46b4-8fc4-3b33bdfd1938","resolution":{"observed_at":"2026-08-08T20:57:44.606878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.07867","last_updated":"2024-08-13T01:55:06Z","snapshot_observed_at":"2026-07-06T17:29:05.185768Z","submitted_at":"2024-02-12T18:28:36Z","title":"PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07867","snapshot_observed_at":"2026-08-08T20:57:43.624290Z","title":"action\" key (containing the name of the tool to use) and an","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.624290Z"},"links":{"cited_paper":"/paper/2402.07867","citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:2c2ccdb9f9f224c1d20462ad1b23182a9bf9954811ed7fe0932406091ccdb456","observation_id":"c4987acd-3e48-4441-91f7-83a942ae0d80","resolution":{"observed_at":"2026-08-08T20:57:43.624290Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.589572Z","title":"Telegram official app","venue":null,"work_id":"970445a5-c3af-4264-9aca-0ba1652eb9e4","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.629037Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:361806f3d041c7fbc8771cf4636fce27db80fa7ddceaf7706aabdfa5a7b8eebf","observation_id":"8434ba1f-9c1d-4ad5-a7e0-954f060d3032","resolution":{"observed_at":"2026-08-08T20:57:44.593479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.576045Z","title":"get-rich- quick","venue":null,"work_id":"3ded1dcb-632b-43b3-937a-ee3102bf2f5f","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.633220Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:5f85d6149d52b296623f192a377797b249901cbcab6adbcf8c8e09a48a5c80be","observation_id":"ba6ea44c-f960-4289-9f77-1decdac9c143","resolution":{"observed_at":"2026-08-08T20:57:44.580052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.562369Z","title":"While not always harmful, it can clutter inboxes, waste time, and sometimes lead to phishing or other malicious activities","venue":null,"work_id":"5c762399-b7d1-45ea-9194-aa564d66d541","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.637276Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:cb2b12ae8a8689e59b1b51fae728e5fb78eee4d8451816980990fb6e0fc3860d","observation_id":"87d699bc-4e0d-4437-aacb-05e3ca98d100","resolution":{"observed_at":"2026-08-08T20:57:44.566741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.549050Z","title":"It is designed to mislead, manipulate public opinion, or generate traffic for financial or political gain","venue":null,"work_id":"4226aa9e-47f0-4b76-96cd-f626e20170e0","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.641198Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:45cb982ed5e36d26d86b52b187bd82a73a541a5d682762e75c9482c8f7d96593","observation_id":"e2bca547-dc7d-4482-a4c7-5a7585b1141f","resolution":{"observed_at":"2026-08-08T20:57:44.553281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.535571Z","title":"This website offers free gift cards but requires entering your credit card information","venue":null,"work_id":"1642c201-3c4b-4344-b2a3-84e18beacc00","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.645731Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:01389b3b7f765486b4964d08722d3d98bf0ce6281f40828321b63175d52bc35d","observation_id":"58c81eb8-f2df-42b4-9b42-b07cf2fb1fc6","resolution":{"observed_at":"2026-08-08T20:57:44.539712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.522703Z","title":"- The URL offers free gift cards but requests credit card information, matching the definition of phishing","venue":null,"work_id":"7c1e644f-587f-477e-a229-057d15f7ad51","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.649774Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:76d34bf92dc9afec30183015c3fa83634234f42d569a674b7dca6997629f06e8","observation_id":"5118e4fe-c999-4fff-8369-9dc2205dc71e","resolution":{"observed_at":"2026-08-08T20:57:44.526823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.508446Z","title":"- The content explicitly asks for credit card information, fulfilling this indicator","venue":null,"work_id":"7cbc6982-1aa2-4e1f-83e9-f18862052188","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.654146Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:acfa0b5ee752fb22ef3210fb23a710203ab7a917fecabe82c3360de541e3f160","observation_id":"eb5b71dd-6f62-467a-8bdb-1e86439770c0","resolution":{"observed_at":"2026-08-08T20:57:44.513242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.494136Z","title":null,"venue":null,"work_id":"b0532d44-7397-40f4-8f99-ebd2074b31a6","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.658035Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:e6bc45abc5878c4e38f5ad2ef43006c9248b7bc9db306125f55f149a7c551d2e","observation_id":"6f19cd75-631c-4b3a-94f4-6c63d7f62a76","resolution":{"observed_at":"2026-08-08T20:57:44.498737Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.479382Z","title":"The Earth will be invaded by aliens next week, claims a report","venue":null,"work_id":"e70ac3e3-7e25-4b9a-b4a9-3dc4e4efa5b6","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.661758Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:8a58d4854730390c8bb91077afe92b006d455fe65a4127e860c080f7a6346668","observation_id":"eb87a942-cd18-4d18-b7e8-a4dec673ee06","resolution":{"observed_at":"2026-08-08T20:57:44.484019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.464998Z","title":"- The content claims an alien invasion without credible evidence, fitting the definition of fake news","venue":null,"work_id":"a4ca33f0-b731-48d4-b447-3d91b60ea73a","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.665651Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:d283670324401cafa23fc91253ace932d4bc060921ca660797e920acecb6fdc3","observation_id":"62c82a7c-5c41-4310-8d40-5d4a4337b372","resolution":{"observed_at":"2026-08-08T20:57:44.469517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.451474Z","title":"- The claim is sensationalized and unsupported by credible sources, meeting these indicators","venue":null,"work_id":"9e3949e2-51d1-44e5-9f92-024510bbc65e","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.669763Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:cab4a457c0240cc644b34df12ea8b6f21d74b1d146e00c5a65d8755b633ce532","observation_id":"e7d9a2e5-13e7-46b0-9976-ead87c099918","resolution":{"observed_at":"2026-08-08T20:57:44.455690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.439076Z","title":null,"venue":null,"work_id":"4390c096-009a-4cef-bbee-ee8c0bc4d7df","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.674075Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:ed848ddbf123e13930081810be0856e4662948a523aa48bece7f6cb251977a35","observation_id":"84a9a3db-9755-4072-a4fd-b54f70e5e623","resolution":{"observed_at":"2026-08-08T20:57:44.442830Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.425369Z","title":"This website compiles open-access scientific papers for free download","venue":null,"work_id":"93475bb5-d18b-4cc1-a568-3c1248d81780","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.679068Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:ab711df4610e2ce1bafca9990a26a89de571750278b9c9bef55c6a9dba3c2731","observation_id":"43845167-f867-49df-9dd5-ba4de9225d99","resolution":{"observed_at":"2026-08-08T20:57:44.429579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.412403Z","title":null,"venue":null,"work_id":"290af63c-f144-4c73-9068-0168859838ca","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.683657Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:b1c0ceed1bfb3b8c784f911ddd6c9217d434d1fe87fe2deef04b5205bc37618a","observation_id":"4acb3901-2271-432c-a638-694002fd86d0","resolution":{"observed_at":"2026-08-08T20:57:44.416428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.399284Z","title":null,"venue":null,"work_id":"000760b2-9786-4f16-bd72-64b48edb855c","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.687477Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:51e3e82688e5ee3f2a8d77cf829892e53bdad90acf0ff193f55168973438f5fb","observation_id":"45b714c6-7b64-4e24-978a-cb61c3273648","resolution":{"observed_at":"2026-08-08T20:57:44.403425Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.385976Z","title":null,"venue":null,"work_id":"47de0a85-8459-4a2f-8484-1d34796b24bd","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.691191Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:893e7f920d07622406872462c19606560de37c466e6ea63e845029635b6bc2fe","observation_id":"574386a7-c16d-416f-a3fd-1f59266f30d8","resolution":{"observed_at":"2026-08-08T20:57:44.389960Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.372235Z","title":"/” sep- arated) in the URL. Redirection: Detects if the URL contains unexpected redi- rection markers (e.g., “//","venue":null,"work_id":"9e8b1a92-5a20-41f1-8594-0009df8e124a","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.694752Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:ef4874492eb564ba153feb13369fcf3c68e77892df2b021feed9b4778a4ac155","observation_id":"560c1331-0c4c-4abf-8c27-d262ae9feafb","resolution":{"observed_at":"2026-08-08T20:57:44.376712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.358483Z","title":null,"venue":null,"work_id":"3b7fbcf5-0ec4-40ae-8658-e5e5ebc37aae","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.698587Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:30aba41602769477ca347cb4e6f630f6c548236da75a231c303db347dac7f0c4","observation_id":"c13b6b1d-9036-4bd6-ad85-b9c391898fac","resolution":{"observed_at":"2026-08-08T20:57:44.362269Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.344584Z","title":null,"venue":null,"work_id":"1663a4f8-b4a2-4ac9-b42f-0f53a8812aad","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.702315Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:bd3786bba842cc23a835c053c559df63dac04b16ff667dafeeff0872b601f8f6","observation_id":"b9f411c8-7bc5-42e0-95a7-bfef2c0d2b54","resolution":{"observed_at":"2026-08-08T20:57:44.348836Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.330877Z","title":null,"venue":null,"work_id":"d14d56e5-3f11-41d5-bbb7-c3ca6467cde7","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.706107Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:670709758603fb1ad0e9280be9191a7e5b8e7c98b7c53b17998eb0bde32f1531","observation_id":"ff6c05b7-3ad0-49c2-a737-4460f0b48a22","resolution":{"observed_at":"2026-08-08T20:57:44.334693Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.317323Z","title":null,"venue":null,"work_id":"bcc7aa15-3396-4de0-a597-8a52ec6b0394","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.710144Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:955f9bdff80d1a372dba728a693431a4a6cf3421da589d2baa44fc7aaf4cbfae","observation_id":"398d057e-e1b7-4039-b12e-49f852246c25","resolution":{"observed_at":"2026-08-08T20:57:44.321629Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:57:44.303227Z","title":null,"venue":null,"work_id":"f281d93a-8604-49e5-9066-9dd356b47778","year":null},"citing_paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search","version":3},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-08T20:57:43.713954Z"},"links":{"citing_paper":"/paper/2502.04951"},"observation_digest":"sha256:976474da7b073c688e7da9699a7ba7ceafc4829256b5e7386c6aac36d45554f0","observation_id":"659a3c95-3a1f-443d-b3ef-34114b6ad0a3","resolution":{"observed_at":"2026-08-08T20:57:44.307721Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.04951","last_updated":"2025-06-13T04:49:36Z","latest_version":3,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-08T20:49:41.495000Z","submitted_at":"2025-02-07T14:15:46Z","title":"Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":48,"verified_exact":2,"verified_fuzzy":49},"total_outbound_references":102},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 3 inbound Pith citation observations for arXiv:2502.04951."}