{"as_of":"2026-08-10T07:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:80fa3e68f4d2d6cc65a00a57577389389a79a1bd363eb9e467298ea780ff1ff9","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:29:11.929736Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T23:53:02.636523Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-08-02T23:53:02.636523Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.12394","last_updated":"2026-06-28T15:54:56Z","snapshot_observed_at":"2026-08-09T01:10:54.518185Z","submitted_at":"2026-02-12T20:41:22Z","title":"Synthetic Interaction Data for Scalable Personalization in Large Language Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T23:53:02.636523Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2602.12394"},"observation_digest":"sha256:7840581aa0ef1160228799cad1b18b476843fe13d9be6a04c9763ec18a13dba7","observation_id":"0811e8b1-6b80-4c70-ae9a-8fc9fb1516d7","resolution":{"observed_at":"2026-08-02T23:53:02.636523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":"2508.01674","doi":"10.48550/arxiv.2508.01674","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accepted to COLM","venue":"arXiv (Cornell University)","work_id":"f68c83f4-ae5e-43cb-adcd-a0c2bea4b8d6","year":2025},"citing_paper":{"arxiv_id":"2604.02585","last_updated":"2026-04-15T18:00:16Z","snapshot_observed_at":"2026-07-06T22:51:57.889822Z","submitted_at":"2026-04-02T23:42:20Z","title":"Mitigating LLM biases toward spurious social contexts using direct preference optimization","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-13T20:33:04.433907Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2604.02585"},"observation_digest":"sha256:66cf61c4397756bebceefa113b2ff4e2f6345d2f31ccd7f3046918ee0486283a","observation_id":"2043bdc2-dbb4-4c50-b117-c7a530fbd495","resolution":{"observed_at":"2026-05-13T20:33:14.753268Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":"2508.01674","doi":"10.48550/arxiv.2508.01674","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accepted to COLM","venue":"arXiv (Cornell University)","work_id":"f68c83f4-ae5e-43cb-adcd-a0c2bea4b8d6","year":2025},"citing_paper":{"arxiv_id":"2604.06134","last_updated":"2026-04-07T17:44:19Z","snapshot_observed_at":"2026-07-06T22:54:40.349479Z","submitted_at":"2026-04-07T17:44:19Z","title":"MAESTRO: Adapting GUIs and Guiding Navigation with User Preferences in Conversational Agents with GUIs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T20:02:40.914246Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2604.06134"},"observation_digest":"sha256:111f94d586d6e0752602811faaaf462bcc17d9337026bec7298f9fb9aa115e7e","observation_id":"199de5f2-70b5-4d50-9d54-c8be36bebc7e","resolution":{"observed_at":"2026-05-10T20:05:45.615402Z","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":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":"2508.01674","doi":"10.48550/arxiv.2508.01674","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accepted to COLM","venue":"arXiv (Cornell University)","work_id":"f68c83f4-ae5e-43cb-adcd-a0c2bea4b8d6","year":2025},"citing_paper":{"arxiv_id":"2604.10925","last_updated":"2026-07-10T21:13:12Z","snapshot_observed_at":"2026-08-06T03:38:20.212070Z","submitted_at":"2026-04-13T02:46:31Z","title":"From Words to Widgets for Controllable LLM Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T16:30:39.143556Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2604.10925"},"observation_digest":"sha256:4db63f48e49a3cd2e9c878b928545bbbb14771fd5a0d329542f91893d8fffc81","observation_id":"3ce2e4f2-33a9-4755-833b-76a9552bec20","resolution":{"observed_at":"2026-05-10T21:30:51.099347Z","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":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-07-14T19:46:03.847368Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.10925","last_updated":"2026-07-10T21:13:12Z","snapshot_observed_at":"2026-08-06T03:38:20.212070Z","submitted_at":"2026-04-13T02:46:31Z","title":"From Words to Widgets for Controllable LLM Generation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-14T19:46:03.847368Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2604.10925"},"observation_digest":"sha256:08917f5f96cefcd35e07136d7422d52d1b95793dbde0c2f114a8ec131a98f60a","observation_id":"3afe0854-a117-430f-934f-ecad5f60dc43","resolution":{"observed_at":"2026-07-14T19:46:03.847368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":"2508.01674","doi":"10.48550/arxiv.2508.01674","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accepted to COLM","venue":"arXiv (Cornell University)","work_id":"f68c83f4-ae5e-43cb-adcd-a0c2bea4b8d6","year":2025},"citing_paper":{"arxiv_id":"2604.17886","last_updated":"2026-04-20T06:57:50Z","snapshot_observed_at":"2026-08-02T05:37:30.648992Z","submitted_at":"2026-04-20T06:57:50Z","title":"Latent Preference Modeling for Cross-Session Personalized Tool Calling","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-05-10T04:12:08.560864Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2604.17886"},"observation_digest":"sha256:0115c2c97f56a3adc9faae1b18e68fcf9e8950a5cf872cfb745f2f5da6e712ef","observation_id":"c181d427-e546-4f00-9a9d-d203a6caf934","resolution":{"observed_at":"2026-05-11T12:06:02.820330Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":"2508.01674","doi":"10.48550/arxiv.2508.01674","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accepted to COLM","venue":"arXiv (Cornell University)","work_id":"f68c83f4-ae5e-43cb-adcd-a0c2bea4b8d6","year":2025},"citing_paper":{"arxiv_id":"2605.09996","last_updated":"2026-05-11T05:11:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-11T05:11:22Z","title":"Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-12T04:01:23.060562Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2605.09996"},"observation_digest":"sha256:670e06b3fdcf69ee5478c677315764c3512e6af0b5ae9a8ff166dd8737ade7f2","observation_id":"23d8b66d-ddab-48ba-99f4-6f867ad0c019","resolution":{"observed_at":"2026-05-12T06:46:25.822867Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":"2508.01674","doi":"10.48550/arxiv.2508.01674","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accepted to COLM","venue":"arXiv (Cornell University)","work_id":"f68c83f4-ae5e-43cb-adcd-a0c2bea4b8d6","year":2025},"citing_paper":{"arxiv_id":"2605.16712","last_updated":"2026-05-19T03:16:30Z","snapshot_observed_at":"2026-08-02T06:24:33.025685Z","submitted_at":"2026-05-15T23:50:15Z","title":"Recall Isn't Enough: Bounding Commitments in Personalized Language Systems","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-20T17:29:55.760720Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2605.16712"},"observation_digest":"sha256:590b656c9283c33d47fde132fd7a825bf34fa23d5cf6f2b6247681d86b1eff53","observation_id":"85416362-c726-4044-b215-061e45902469","resolution":{"observed_at":"2026-05-20T17:33:36.660930Z","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":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"cited_work":{"arxiv_id":"2508.01674","doi":"10.48550/arxiv.2508.01674","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.01674","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Accepted to COLM","venue":"arXiv (Cornell University)","work_id":"f68c83f4-ae5e-43cb-adcd-a0c2bea4b8d6","year":2025},"citing_paper":{"arxiv_id":"2606.04780","last_updated":"2026-06-03T12:02:19Z","snapshot_observed_at":"2026-08-05T23:20:21.378443Z","submitted_at":"2026-06-03T12:02:19Z","title":"PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-06-28T06:15:46.136701Z"},"links":{"cited_paper":"/paper/2508.01674","citing_paper":"/paper/2606.04780"},"observation_digest":"sha256:920d6f964b4704f53270099f10e387d8b133bc8ae679f3b16d46412daf5e7238","observation_id":"c832cf3f-0cac-40f2-872a-427c4a44f190","resolution":{"observed_at":"2026-07-02T08:16:47.857762Z","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/2508.01674/citation-record","integrity":"/paper/2508.01674/integrity","json":"/paper/2508.01674/citation-record.json","paper":"/paper/2508.01674"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1712.09665","last_updated":"2018-05-17T01:44:59Z","snapshot_observed_at":"2026-07-06T06:16:16.225385Z","submitted_at":"2017-12-27T20:03:51Z","title":"Adversarial Patch","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.09665","snapshot_observed_at":"2026-08-06T05:29:09.980173Z","title":"Brown, Dandelion Mane, Aurko Roy, Martin Abadi, and Justin Gilmer","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:09.980173Z"},"links":{"cited_paper":"/paper/1712.09665","citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:c51796d434bdfc36884dd434962f84a1fe7b68724aae79be8c8ab9efb6428f56","observation_id":"e97504a1-2601-439b-a879-2636cb185bb6","resolution":{"observed_at":"2026-08-06T05:29:09.980173Z","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":"2026-08-06T05:29:10.056219Z","title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.056219Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:4aaa81dbdbf3ae8a9b915d98b60810916818d72f4c1a7ac49d00947594bd1adf","observation_id":"7b8ba5f6-a93b-461a-86f0-c8e6896c31ab","resolution":{"observed_at":"2026-08-06T05:29:10.056219Z","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":"2026-08-06T05:29:17.273085Z","title":"Robust physical-world attacks on deep learning visual classification","venue":null,"work_id":"fe474646-640e-4e81-bcf3-257c13c492a8","year":2018},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.215904Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:b034e1def52f6badb23448ca293c4227c96f2e88c1c7fe4471ff0a9aa37c0c53","observation_id":"c133d6f3-4955-4f75-a8ca-e01c6bc3effc","resolution":{"observed_at":"2026-08-06T05:29:17.403045Z","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":"2502.07408","last_updated":"2026-04-16T05:52:12Z","snapshot_observed_at":"2026-08-08T08:18:06.804727Z","submitted_at":"2025-02-11T09:40:45Z","title":"Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips","version":2},"cited_work":{"arxiv_id":"2502.07408","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.07408","snapshot_observed_at":"2026-08-06T05:29:13.216799Z","title":"Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips","venue":"cs.LG","work_id":"fd1aa8a6-a22e-4bde-a721-0c8311806d67","year":2025},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.381675Z"},"links":{"cited_paper":"/paper/2502.07408","citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:3a21e1f7486a834b5abb2b2008fb831466395b2f4dc47634ab6db0d568bfffc0","observation_id":"6b2df2e8-1644-454f-890d-c704c998ac49","resolution":{"observed_at":"2026-08-06T05:29:13.312491Z","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":"2026-08-06T05:29:17.005997Z","title":"Deep residual learning for image recognition, 2015","venue":null,"work_id":"db96562e-7f87-4faf-b020-18ba8f03cc4b","year":2015},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.449989Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:d432344e7ff1c334c8171dbe2c1ec8a20f7b215bcd4aeba96875f50ce2fda23f","observation_id":"5dff6bc0-5475-4e14-829c-3560e4010321","resolution":{"observed_at":"2026-08-06T05:29:17.155563Z","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":"2026-08-06T05:29:16.721168Z","title":"Lavan: Localized and visible adversarial noise","venue":null,"work_id":"d1811ec8-ccaf-48df-aaec-2200bcc8e820","year":2018},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.504668Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:73b9419491d2c964949d0ed19137062629b355b07941c98bd40f331224f4a4f5","observation_id":"c9b0c5db-e4ff-45bf-adec-79fb21c31d39","resolution":{"observed_at":"2026-08-06T05:29:16.855629Z","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":"2026-08-06T05:29:16.487779Z","title":"Hysteresis activation function for efficient inference","venue":null,"work_id":"7d7138fc-bfaf-4e5b-8685-24604f0540d8","year":2024},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.582431Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:6af6d4eea61841a2470909babb305100e88afc0a607fb5d89808ce979ae087ed","observation_id":"a132407b-ac6d-4a4f-8683-3d510c9e287e","resolution":{"observed_at":"2026-08-06T05:29:16.593812Z","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":"2406.10891","last_updated":"2025-04-03T08:32:09Z","snapshot_observed_at":"2026-08-04T13:52:08.933003Z","submitted_at":"2024-06-16T10:49:23Z","title":"Noisy Annotations in Semantic Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.10891","snapshot_observed_at":"2026-08-06T05:29:10.644637Z","title":"Noisy annotations in semantic segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.644637Z"},"links":{"cited_paper":"/paper/2406.10891","citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:e6dc72b8182d6b6265ffa1b8507c299718986ecf436c40ae3092b30e0ec5ad04","observation_id":"fe85bede-c671-4fbc-a9e6-d13d8f8d5544","resolution":{"observed_at":"2026-08-06T05:29:10.644637Z","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":"2026-08-06T05:29:16.233046Z","title":"Semi-supervised semantic segmentation via marginal contextual information","venue":null,"work_id":"7d2b169a-d49f-43d4-a7d6-8345626150ac","year":2024},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.693545Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:cbb9d4e581d1ae97aa0c2164f5219c140b2bd225dab5167faf5fa1d4ba6e47ba","observation_id":"422bded7-8ce8-424f-8861-ea3bb06ef06b","resolution":{"observed_at":"2026-08-06T05:29:16.365944Z","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":"2026-08-06T05:29:15.917919Z","title":"Robot instance segmentation with few annota- tions for grasping","venue":null,"work_id":"4df63ffb-51f6-4457-a956-b188336ebaf2","year":2025},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.745709Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:abc054a30c2a6bff0817e8bc251c3e83f09c223d42ceca81595ddebe734d028a","observation_id":"6f2b5774-0c28-463a-8a20-0854279c1ddf","resolution":{"observed_at":"2026-08-06T05:29:16.087141Z","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":"2026-08-06T05:29:15.665584Z","title":"Generative dynamic patch attack","venue":null,"work_id":"4c44e83d-d715-4cb1-b5e6-fcc5e9c129ff","year":2021},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.798622Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:6ce435b5b01d7e37b43e7342113ef4f8d6b5f43885c5d682fd9d4ac72081bcd1","observation_id":"7d3cc266-c8df-4a79-bf7a-bbb51314f71f","resolution":{"observed_at":"2026-08-06T05:29:15.733457Z","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":"2205.08649","last_updated":"2023-03-22T15:33:55Z","snapshot_observed_at":"2026-07-06T13:11:00.045333Z","submitted_at":"2022-05-17T22:10:16Z","title":"Complex FIOs and composition of Toeplitz operators","version":4},"cited_work":{"arxiv_id":"2205.08649","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.08649","snapshot_observed_at":"2026-08-06T05:29:12.968998Z","title":"Complex FIOs and composition of Toeplitz operators","venue":"math.FA","work_id":"99eef1ca-32a0-4ab5-b8c6-a592cee9eba5","year":2022},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.879305Z"},"links":{"cited_paper":"/paper/2205.08649","citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:9bf5b877bbff2ed67752ef063ff971a730004ce8f804e4e38ec478387a3425b7","observation_id":"fa086b18-5fe7-4a8c-83e4-ca6b406925da","resolution":{"observed_at":"2026-08-06T05:29:13.075285Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-08-06T05:29:15.537568Z","title":"Perceptual-sensitive gan for generating adversarial patches","venue":null,"work_id":"63536e3a-ae83-494b-a1d6-f749dcc56cc4","year":2019},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:10.964248Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:37d96f891ced2d80e04299ec6e81f13b446cdc5eb53fdf817672719562424d3c","observation_id":"66fdb48d-88a0-4b5e-bd45-4be070a7513b","resolution":{"observed_at":"2026-08-06T05:29:15.604584Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:29:11.042928Z","title":"Generating adversarial yet inconspicuous patches with a single image","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.042928Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:57e6af7236ab67d06f1f5c3e39e26e9622e130af3a91b8ddd6afbd3ee31fe87b","observation_id":"8838253e-014d-4ec5-8958-d92b7156c625","resolution":{"observed_at":"2026-08-06T05:29:11.042928Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-06T05:29:15.319064Z","title":"Adversarial training against location-optimized adversarial patches","venue":null,"work_id":"2cf63efe-244f-4341-a485-11a7500c83ae","year":2020},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.109442Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:a8492cbf1ed9844230a0ca8dea7c67b274544e379f2d765b08be32952bd979b3","observation_id":"e2e4cfd3-9243-4db0-8a1d-129664073ee5","resolution":{"observed_at":"2026-08-06T05:29:15.413701Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:29:11.155630Z","title":"U-net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.155630Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:aec9bbb43ef660f7449125c5510a96705311ea8b7837076dd588964227ce6b0b","observation_id":"f452ae0e-4f2a-4c1a-bc25-cb667a6571d6","resolution":{"observed_at":"2026-08-06T05:29:11.155630Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:29:12.705039Z","title":"Mobilenetv2: In- verted residuals and linear bottlenecks","venue":null,"work_id":"a9285ce3-1f84-4e49-8ed0-bf88f50a91a3","year":2018},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.235215Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:a59677bb89010feb154accf6c2b277d8f1add59d48b2e4560cce17696a9043a5","observation_id":"81be58a5-ae31-49b8-b645-6b848e9f58e3","resolution":{"observed_at":"2026-08-06T05:29:12.813977Z","resolver_source":"arxiv_id_nonexistent","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":"2026-08-06T05:29:15.050718Z","title":null,"venue":null,"work_id":"01019bb0-2e15-4be9-aeaf-a75985a3edf9","year":2016},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.316676Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:e33e9e33879c4f0f525aa1deaa2c478366994f09b4e61e4f0668d43bba547f25","observation_id":"d1f9a9b3-8685-4d5e-bd55-8f6de8fa67ff","resolution":{"observed_at":"2026-08-06T05:29:15.159452Z","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":"2026-08-06T05:29:14.823525Z","title":null,"venue":null,"work_id":"f0838c3d-a541-4f3d-b2d3-08c127f8c207","year":2019},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.402144Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:28d332bf7f55a8d51d74b483806ef90edd7a9d953480eb613189e64db5db7be3","observation_id":"40a6bb96-5082-41ac-a73d-f3efee249bd4","resolution":{"observed_at":"2026-08-06T05:29:14.948016Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T05:29:12.344552Z","title":"Adversarial retroreflective patches: A novel stealthy attack on traffic sign recognition at night","venue":null,"work_id":"05ecc434-65ac-4811-ad6b-7757f6fee361","year":2024},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.467402Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:1232740e6f426381a11dd630e08e120ca5c94cb8d163ab03814881ec139eef59","observation_id":"6190ca0c-335a-4d82-9e40-aa6d65513c39","resolution":{"observed_at":"2026-08-06T05:29:12.437926Z","resolver_source":"arxiv_id_nonexistent","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":"2026-08-06T05:29:14.505137Z","title":"Simul- taneously optimizing perturbations and positions for black- box adversarial patch attacks","venue":null,"work_id":"b3f09fee-45d9-402a-8e86-5389a14e6b6c","year":2022},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.574023Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:de5419698f33066ec702e45b6cf0bbecf95276892a51c4e2834eec9f8e8d3a9d","observation_id":"dd6be7cb-5dbf-4883-b8c0-261d67f1ea6b","resolution":{"observed_at":"2026-08-06T05:29:14.670787Z","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":"2026-08-06T05:29:14.241841Z","title":"Adversarial sticker: A stealthy attack method in the physical world","venue":null,"work_id":"de775b71-fb58-4b5d-add4-1bcd3c78fb75","year":2023},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.638642Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:70f928381cab22c6866f661d1e5e1455fc7a05ec7d6a081b0a904dc778fb2c52","observation_id":"58d7408e-0a13-469e-8d9a-9bc6e71399e4","resolution":{"observed_at":"2026-08-06T05:29:14.355647Z","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":"2026-08-06T05:29:13.973117Z","title":"Fast is bet- ter than free: Revisiting adversarial training","venue":null,"work_id":"d1797427-0417-4db2-ba26-ecc792aaeb33","year":null},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.695202Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:16e12e32c6fc718c8e7cf859fcc21967a291e0ffe8833126549b84568352d69a","observation_id":"1e5de0df-b348-4ff6-857f-9895cc867fa5","resolution":{"observed_at":"2026-08-06T05:29:14.094210Z","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":"2026-08-06T05:29:13.510943Z","title":"Patchattack: A black-box texture-based at- tack with reinforcement learning","venue":null,"work_id":"d7cf7cc6-fed9-4b82-a2c9-236d50c13a63","year":2020},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.929736Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:0d60aeea8185dc39553baeb7102ad87fda80aee522d94defcb9792da13a1d082","observation_id":"6143c69a-0940-4680-ab10-73aed95caf66","resolution":{"observed_at":"2026-08-06T05:29:13.587580Z","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":"2026-08-06T05:29:13.710678Z","title":null,"venue":null,"work_id":"34eaa5fe-e2aa-4f4e-be6e-98e0f54f945b","year":null},"citing_paper":{"arxiv_id":"2508.01674","last_updated":"2025-08-07T05:03:27Z","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T05:29:11.807105Z"},"links":{"citing_paper":"/paper/2508.01674"},"observation_digest":"sha256:70d47dfee5c89744123850e5fa1f4184c3c7360e5161ef883906ec617ad2a8d7","observation_id":"24295cdc-4393-44e9-a4e9-69e48bd9451c","resolution":{"observed_at":"2026-08-06T05:29:13.770843Z","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":"2508.01674","last_updated":"2025-08-07T05:03:27Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T05:29:08.848494Z","submitted_at":"2025-08-03T09:04:48Z","title":"CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":1,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":7,"verified_exact":3,"verified_fuzzy":13},"total_outbound_references":25},"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 25 of 25 outbound references and 9 inbound Pith citation observations for arXiv:2508.01674."}