{"as_of":"2026-08-18T13:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cb798ce78a2bdfc15468a495fc976ec779e4f76bc6785125be1ec34b5859da20","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:20:59.021319Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.18628/citation-record","integrity":"/paper/2506.18628/integrity","json":"/paper/2506.18628/citation-record.json","paper":"/paper/2506.18628"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:21:01.694087Z","title":"In: EMNLP","venue":null,"work_id":"c906cc55-a9a8-4b44-a1d3-dd7901e37e8a","year":null},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.094742Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:ee902fc42e11bcc3bd34efef28b23b4bdff3fb452dbb85137eb8f7d15cfc1ecd","observation_id":"04c6aa49-bf4d-41f0-8231-0e749e77812c","resolution":{"observed_at":"2026-08-06T23:21:01.773057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T23:21:01.312176Z","title":null,"venue":null,"work_id":"fccd4947-e792-4b8f-a228-bf7f2fad5754","year":2024},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.324798Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:d74cebda5defb5e64cb0487d6e939757db5dc94bd35bcb9cc8b30d2967f47196","observation_id":"36a2efab-0a1b-489f-8d66-a57b3775e72c","resolution":{"observed_at":"2026-08-06T23:21:01.384744Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T23:21:01.166724Z","title":"Nature630(8017), 625–630 (Jun 2024)","venue":null,"work_id":"211b94ef-666d-4a66-b8bb-d8dc3c01a849","year":2024},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.426559Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:b8226a22a449d4c4c12902fafb4027e795b509943b2e900cc3c70b873fd4ce61","observation_id":"9fcf5875-5bb5-4a87-b68a-2823d82a65e1","resolution":{"observed_at":"2026-08-06T23:21:01.234797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T23:21:01.021316Z","title":"In: SENTIRE at ICDM’2024","venue":null,"work_id":"22731c90-7ddf-43e9-abf5-7d97025f20ac","year":2024},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.515071Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:d8add45de4fe9f77e5bc1194edcb988c65ff40761288a8786782e66a657da66e","observation_id":"930bbbfc-72ee-4a0f-846f-d662ffd40eda","resolution":{"observed_at":"2026-08-06T23:21:01.066800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.05904","last_updated":"2024-10-01T12:08:23Z","snapshot_observed_at":"2026-08-16T13:53:58.560866Z","submitted_at":"2024-05-09T17:00:22Z","title":"Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.05904","snapshot_observed_at":"2026-08-06T23:20:57.647659Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.647659Z"},"links":{"cited_paper":"/paper/2405.05904","citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:b189d65226a93f6a01b6795ae3196c96a1683b2b2d89c5dbe3969733950c76ac","observation_id":"908f5f85-53c8-4784-9d84-7d67d006b716","resolution":{"observed_at":"2026-08-06T23:20:57.647659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00118","last_updated":"2024-10-02T15:22:49Z","snapshot_observed_at":"2026-08-02T16:20:09.773989Z","submitted_at":"2024-07-31T19:13:07Z","title":"Gemma 2: Improving Open Language Models at a Practical Size","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00118","snapshot_observed_at":"2026-08-06T23:20:57.738473Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.738473Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:a6afa3c00c921606ab46e27ecb4cc89780b20ccc39e926a3d5404f9ab8e50c53","observation_id":"e69d52da-4921-4ca5-8c89-a954c7e8b766","resolution":{"observed_at":"2026-08-06T23:20:57.738473Z","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":"2026-08-06T23:21:00.720281Z","title":"ACM Trans","venue":null,"work_id":"38ba1206-0f77-41b6-8250-4a04c4150be0","year":2024},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.834655Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:4d06ff709d261fec48066d9d0970e7d0ff9dc27918bd5205a49a89c782a2bd99","observation_id":"2d082982-ceb7-4e6a-ae4c-c45d6aa00bbf","resolution":{"observed_at":"2026-08-06T23:21:00.934535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T23:21:00.543866Z","title":"ACM Com- puting Surveys 55(12), 1–38 (Mar 2023)","venue":null,"work_id":"e3f8aab5-eebd-473a-94d8-a00b31d6b5ac","year":2023},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.989987Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:ab9a39b94174d01a651a40f11778ae2fc89abb7253df3e47e301443c69c70cca","observation_id":"8997b9d9-4527-485f-9194-247aa58465b1","resolution":{"observed_at":"2026-08-06T23:21:00.662794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.05549","last_updated":"2022-10-11T15:43:58Z","snapshot_observed_at":"2026-08-16T16:25:07.535681Z","submitted_at":"2022-10-11T15:43:58Z","title":"Continual Training of Language Models for Few-Shot Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.05549","snapshot_observed_at":"2026-08-06T23:20:58.117215Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.117215Z"},"links":{"cited_paper":"/paper/2210.05549","citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:2478d0111546ac672964bb8d5dc8c8efd72c64625ec9dd162707c7de19e22114","observation_id":"f5da7e7c-0855-480b-ab65-82486e8afafe","resolution":{"observed_at":"2026-08-06T23:20:58.117215Z","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":"2026-08-06T23:21:00.359896Z","title":"Information Fusion 99, 101861 (2023)","venue":null,"work_id":"16b0fb2f-8054-4d89-90e0-a3419430b239","year":2023},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.217883Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:f997dbccdb49787843da362e77c72e345f4d46b58a0b16cab64af0ab4276a5bb","observation_id":"f5f57ffb-72c1-4fd8-bde7-b52585100399","resolution":{"observed_at":"2026-08-06T23:21:00.477849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T23:21:00.094743Z","title":"Journal of statistical software36, 1–13 (2010)","venue":null,"work_id":"2c6a583d-5201-4758-afe0-0fa8d16b7cc0","year":2010},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.266751Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:041993b569817da8aa6f6cb53afb19e74beac1a322358ab18e7096e810a4b359","observation_id":"bf9c8499-f660-4430-84ae-c906d79c74a6","resolution":{"observed_at":"2026-08-06T23:21:00.177179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T23:20:59.918369Z","title":"Transactions of the ACL7, 452–466 (2019)","venue":null,"work_id":"483930d3-d53d-407b-9cb3-0acc80d1ab42","year":2019},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.301495Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:3a08052b167b53bd5f19ba9cc52f85ead86d205062693596d504285d0e672265","observation_id":"1d116ed4-5423-4d20-94fc-32c8900bf498","resolution":{"observed_at":"2026-08-06T23:21:00.039990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-07T05:44:30.677502Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-06T23:20:58.405685Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.405685Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:4d8fc7f181588e579218909ce8f8de9354e02494605dee82e1d299bc34771363","observation_id":"fde13c38-a568-48ad-a790-01abac6dca68","resolution":{"observed_at":"2026-08-06T23:20:58.405685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08896","last_updated":"2023-10-11T17:43:28Z","snapshot_observed_at":"2026-07-06T15:03:55.982628Z","submitted_at":"2023-03-15T19:31:21Z","title":"SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08896","snapshot_observed_at":"2026-08-06T23:20:58.484433Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.484433Z"},"links":{"cited_paper":"/paper/2303.08896","citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:2e3bdd5d15560eaa69731c2ddf2360a7cda636166e3bbbf44278ef116f0bba99","observation_id":"40772ef0-d13b-401f-9eb7-7cd4aa389e42","resolution":{"observed_at":"2026-08-06T23:20:58.484433Z","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":"2026-08-06T23:20:59.664926Z","title":null,"venue":null,"work_id":"cc06ac17-2068-4475-86bd-a062b482be6c","year":2018},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.585801Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:ab5b859df3fc232b940a5e781f29e7b72897c144b809778a46a0bce75876f572","observation_id":"c556230e-a28d-4899-9e8b-ba4570eff6d6","resolution":{"observed_at":"2026-08-06T23:20:59.823196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T23:20:59.516087Z","title":"In: Findings of the Association for Computational Linguistics: EMNLP 2023 (2023)","venue":null,"work_id":"50c4370f-9731-4e7e-b3bd-01f89de3c150","year":2023},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.694379Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:45a437d7c4a80334718fdac49325e42d0bcbb5ea5fd8b8d293c649a37c089fe1","observation_id":"9eab0080-7c83-419d-be63-600594479543","resolution":{"observed_at":"2026-08-06T23:20:59.614319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T23:20:59.363560Z","title":"In: ACL 2017","venue":null,"work_id":"5388f511-fb47-40fb-a5d2-d7d787eddb30","year":2017},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.811493Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:d8ea3e1b21e3f02a6be54c02b9b042d08dc4a04c101f5ebef519a49c134c68b3","observation_id":"50955d35-b123-4ef2-84e5-3828ff482b9f","resolution":{"observed_at":"2026-08-06T23:20:59.400420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.09600","last_updated":"2018-09-25T17:28:20Z","snapshot_observed_at":"2026-08-17T01:54:11.006899Z","submitted_at":"2018-09-25T17:28:20Z","title":"HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.09600","snapshot_observed_at":"2026-08-06T23:20:58.938787Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:58.938787Z"},"links":{"cited_paper":"/paper/1809.09600","citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:4739a9a95d6a86551e720f328eedc70d05f047cb2346b7f924519815322862c3","observation_id":"9b4aa01d-157e-47d2-9aff-43d3995a5547","resolution":{"observed_at":"2026-08-06T23:20:58.938787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-14T10:40:26.323157Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-06T23:20:59.021319Z","title":"0.858 0.853 0.731 0.587 0.713 5.639 Spearman1.0 SUM","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:59.021319Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:7ffa300eec1689276965d8eca2ce12f4cb30c22f6e0f2215824e2e4a62bc2cfb","observation_id":"36e7b468-4d26-4e0d-a3b5-c09023014790","resolution":{"observed_at":"2026-08-06T23:20:59.021319Z","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":"2026-08-06T23:21:01.483305Z","title":null,"venue":null,"work_id":"3a13d43b-22d3-4d26-b884-a2fe6b0459ee","year":2023},"citing_paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:57.202305Z"},"links":{"citing_paper":"/paper/2506.18628"},"observation_digest":"sha256:d6fd6cf0f9eb1847ce91cb2bde8efe1bd91e2864729bd485fd8618d3ee2cc93b","observation_id":"c9f97635-f11a-4608-a8eb-65e8f474dff7","resolution":{"observed_at":"2026-08-06T23:21:01.593625Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.18628","last_updated":"2025-06-23T13:35:05Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-14T10:10:16.624882Z","submitted_at":"2025-06-23T13:35:05Z","title":"AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":10},"total_outbound_references":20},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.18628."}