{"as_of":"2026-08-12T08:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7ffd83437ac73c525760d87278b01420da9348f7de6e6a639db8292e46fc2097","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:35:43.990637Z","state":"measured"},{"denominator":40,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":40,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T04:59:45.724855Z","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":"2026-05-10T10:29:25.181680Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"cited_work":{"arxiv_id":"2501.01336","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.01336","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2501.01336 , year=","venue":null,"work_id":"1e7b1e48-0405-4030-b36b-15732f686760","year":null},"citing_paper":{"arxiv_id":"2604.17873","last_updated":"2026-04-20T06:35:26Z","snapshot_observed_at":"2026-08-11T16:23:46.505063Z","submitted_at":"2026-04-20T06:35:26Z","title":"Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-10T04:59:45.724855Z"},"links":{"cited_paper":"/paper/2501.01336","citing_paper":"/paper/2604.17873"},"observation_digest":"sha256:de12c51c86aeaeb0bce6bd6dc79491f4cc48622a96f091256951a362990ca39d","observation_id":"33c8c479-00b1-473d-8b80-f0cd496a3bcc","resolution":{"observed_at":"2026-05-10T10:29:25.183157Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.01336/citation-record","integrity":"/paper/2501.01336/integrity","json":"/paper/2501.01336/citation-record.json","paper":"/paper/2501.01336"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.13734","last_updated":"2023-10-17T09:34:30Z","snapshot_observed_at":"2026-08-01T19:59:13.992395Z","submitted_at":"2023-04-26T02:49:38Z","title":"The Internal State of an LLM Knows When It's Lying","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.13734","snapshot_observed_at":"2026-08-10T22:35:43.832103Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.832103Z"},"links":{"cited_paper":"/paper/2304.13734","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:cb688d7733909258dd0176d3797def6b22b281ac24d8fcd4ba9233e3cb183c3a","observation_id":"91a8b2a6-80a8-4544-9eea-6b348d776990","resolution":{"observed_at":"2026-08-10T22:35:43.832103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.05862","last_updated":"2022-04-12T15:02:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-12T15:02:38Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.05862","snapshot_observed_at":"2026-08-10T22:35:43.837445Z","title":"E.; Elhage, N.; Hatfield - Dodds, Z.; Hernandez, D.; Hume, T.; Johnston, S.; Kravec, S.; Lovitt, L.; Nanda, N.; Olsson, C.; Amodei, D.; Brown, T","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.837445Z"},"links":{"cited_paper":"/paper/2204.05862","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:d8831ac3e9f67148d5879c67f0d03bc69794eb6d0cf87024b45f9dffeaacfdcf","observation_id":"e5314165-2166-4a2e-8b7a-598961b242ea","resolution":{"observed_at":"2026-08-10T22:35:43.837445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.16175","last_updated":"2023-10-04T15:05:24Z","snapshot_observed_at":"2026-07-06T16:12:22.303188Z","submitted_at":"2023-08-30T17:53:25Z","title":"Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.16175","snapshot_observed_at":"2026-08-10T22:35:43.841810Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.841810Z"},"links":{"cited_paper":"/paper/2308.16175","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:a8187fe71e17560a3992de45836d2e8297c095f577ee62454260a8e067f22ae8","observation_id":"b5d1f2bd-0fbf-40f6-a8a3-8a4240a5301c","resolution":{"observed_at":"2026-08-10T22:35:43.841810Z","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":"2026-08-10T22:35:44.441143Z","title":null,"venue":null,"work_id":"6e38e0f8-9b45-437c-a765-8030ece4af8d","year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.846273Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:27267062417994ea201edd6137214642ffb7c4098b0428c8983b2ca2ca58feef","observation_id":"176a7dec-d4fc-4c05-ab27-1517b08a5deb","resolution":{"observed_at":"2026-08-10T22:35:44.444923Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01548","last_updated":"2024-03-12T09:49:28Z","snapshot_observed_at":"2026-07-06T17:38:51.653737Z","submitted_at":"2024-03-03T15:53:41Z","title":"In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01548","snapshot_observed_at":"2026-08-10T22:35:43.850316Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.850316Z"},"links":{"cited_paper":"/paper/2403.01548","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:138bf6d25105dce6f4b0034636ca952688fa345fe10368104c859aa6a7408aad","observation_id":"0b01f957-8f0e-4e44-9231-175522c4efa4","resolution":{"observed_at":"2026-08-10T22:35:43.850316Z","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":"2026-08-10T22:35:43.854429Z","title":"E.; Stoica, I.; and Xing, E","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.854429Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:19c41ded9cb87f1f01b813911e886d431b32fb8269d620a9ab570c1a17286ccc","observation_id":"0bbc7490-c9e7-4c25-b6f6-4f1edd5f40f4","resolution":{"observed_at":"2026-08-10T22:35:43.854429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.11416","last_updated":"2022-12-06T21:39:48Z","snapshot_observed_at":"2026-07-06T14:08:18.855958Z","submitted_at":"2022-10-20T16:58:32Z","title":"Scaling Instruction-Finetuned Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.11416","snapshot_observed_at":"2026-08-10T22:35:43.858736Z","title":"W.; Hou, L.; Longpre, S.; Zoph, B.; Tay, Y.; Fedus, W.; Li, E.; Wang, X.; Dehghani, M.; Brahma, S.; Webson, A.; Gu, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.858736Z"},"links":{"cited_paper":"/paper/2210.11416","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:387422cbe0bb37a7945c4c7c2f14d8b2f2d7d57dbbf3f3ac8e345287882d11cb","observation_id":"03790916-6628-4bc5-9d31-3d3c5b9cc316","resolution":{"observed_at":"2026-08-10T22:35:43.858736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-10T22:35:43.862959Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.862959Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:df4690be79d42d8f8b6c86d6eea2c1b59e62f147d41433c9e0948c55893888bf","observation_id":"cc67af9a-9f03-488f-9208-ac80a66159df","resolution":{"observed_at":"2026-08-10T22:35:43.862959Z","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":"2026-08-10T22:35:44.422582Z","title":"I don't know","venue":null,"work_id":"f423f79d-958b-4588-8936-bf434dcc939b","year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.867018Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:81ebe8e69ec4ad5ee6c07299e832064f889bcf086e17f680cca2059b68360bdb","observation_id":"2f141340-f6e8-4343-b0c8-9f87e573c291","resolution":{"observed_at":"2026-08-10T22:35:44.426508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.06674","last_updated":"2021-10-13T12:18:09Z","snapshot_observed_at":"2026-07-06T11:57:24.991499Z","submitted_at":"2021-10-13T12:18:09Z","title":"Truthful AI: Developing and governing AI that does not lie","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.06674","snapshot_observed_at":"2026-08-10T22:35:43.870593Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.870593Z"},"links":{"cited_paper":"/paper/2110.06674","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:545cd85017fa52b2fc31088d34c6b3598c25d4447d60bca2387ca9c53a8d8318","observation_id":"f4c02857-e6ae-41ea-b514-d91fdd220ce5","resolution":{"observed_at":"2026-08-10T22:35:43.870593Z","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":"2026-08-10T22:35:44.410790Z","title":null,"venue":null,"work_id":"be1f2dd6-e811-441c-8013-7f5dfeb05f9d","year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.874874Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:cabe124d9fc4933a0f036cbfa0f5d3bf5e6c4d86d57058e52426bb30761f3f0e","observation_id":"ecc3316a-2fdc-48b3-8099-be9a1dd6ca22","resolution":{"observed_at":"2026-08-10T22:35:44.414891Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T22:35:44.399596Z","title":null,"venue":null,"work_id":"2f63d0f8-15c0-42da-b4ee-f10e927b974e","year":2021},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.878444Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:8a782579c9a8aea07a8fa3a0dc6f9f3476bff4af7d8ed43b21ec7ffd2f08cc49","observation_id":"1ae228e9-9f6a-4f20-a86c-00cf6b079273","resolution":{"observed_at":"2026-08-10T22:35:44.403161Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03300","last_updated":"2021-01-12T18:57:11Z","snapshot_observed_at":"2026-08-10T12:35:09.020030Z","submitted_at":"2020-09-07T17:59:25Z","title":"Measuring Massive Multitask Language Understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.03300","snapshot_observed_at":"2026-08-10T22:35:43.882222Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.882222Z"},"links":{"cited_paper":"/paper/2009.03300","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:ce8a149c8b0f1a5a8ef04afe1debe10dd14831c3336a22b4174d68bcaa4aab69","observation_id":"e88ad706-6623-4818-a329-00eab7dac264","resolution":{"observed_at":"2026-08-10T22:35:43.882222Z","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":"2026-08-10T22:35:43.886128Z","title":"J.; Shen, Y.; Wallis, P.; Allen - Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.886128Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:2868f312265819caac187359a2e1192e2882faf2c86a9f9113a28d0507a53f5b","observation_id":"1e205330-ee55-4dbd-9c4c-153ad3c7672d","resolution":{"observed_at":"2026-08-10T22:35:43.886128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.05221","last_updated":"2022-11-21T16:38:35Z","snapshot_observed_at":"2026-08-06T08:34:11.887259Z","submitted_at":"2022-07-11T22:59:39Z","title":"Language Models (Mostly) Know What They Know","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.05221","snapshot_observed_at":"2026-08-10T22:35:43.894859Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.894859Z"},"links":{"cited_paper":"/paper/2207.05221","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:1b09e9c9b798001e926090af81790812522093d441d812e74b4f9ee8026af303","observation_id":"88694f21-73e0-4901-8379-31f0b092e7d3","resolution":{"observed_at":"2026-08-10T22:35:43.894859Z","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":"2026-08-10T22:35:44.380976Z","title":null,"venue":null,"work_id":"eac0965e-eec4-49ea-b7c5-eb01cafc44f8","year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.898752Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:fbf271a478d5ed8a58a23eff471d8d601ca616883a30eeb6c7d6b0dd9ed0fc9b","observation_id":"4026c363-2a47-47b6-a53d-203991980fb4","resolution":{"observed_at":"2026-08-10T22:35:44.384902Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T22:35:44.369061Z","title":null,"venue":null,"work_id":"b4abd6f6-8feb-45f6-8581-fce6acf99373","year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.902688Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:fdccf63c948a14791aebec8c7ed1c700aa37534b0f1a6010761ee051e12aae88","observation_id":"038376fa-9d20-42bb-b0ae-15e47cd2afac","resolution":{"observed_at":"2026-08-10T22:35:44.372773Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T22:35:44.357712Z","title":null,"venue":null,"work_id":"97e13c7c-158d-4df2-a80c-fabebbd5efb7","year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.906934Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:7e1b749349f41e0fc8d54c50d8ca8b07578e968fc02437c5fa880ab36760ddb0","observation_id":"42c26fc9-00bb-4a81-9d00-79ab0d0cebcb","resolution":{"observed_at":"2026-08-10T22:35:44.361348Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.19187","last_updated":"2024-05-20T01:53:36Z","snapshot_observed_at":"2026-08-07T10:41:32.183020Z","submitted_at":"2023-05-30T16:31:26Z","title":"Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.19187","snapshot_observed_at":"2026-08-10T22:35:43.911703Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.911703Z"},"links":{"cited_paper":"/paper/2305.19187","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:e0eb7cecc1225674e0d41ab9ab909d261f62afcf945ade20f5d9c2f799815cbe","observation_id":"e9d4ebc1-84b6-48b1-9a0a-75605f433075","resolution":{"observed_at":"2026-08-10T22:35:43.911703Z","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":"2026-08-10T22:35:44.345973Z","title":null,"venue":null,"work_id":"f0493bb2-4a01-4ed7-a45e-82a28ec93667","year":2020},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.915716Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:66ca31d77f69cf7cc42c011459037577488351ee372d7d73589ffca031c3de33","observation_id":"f2b64298-0869-42a9-b6b7-f8e923ccf5c7","resolution":{"observed_at":"2026-08-10T22:35:44.349924Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-10T16:40:37.411115Z","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":"2026-08-10T22:35:43.919308Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.919308Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:090a219c44546db8cc73e85ca6bdfaf2a8514988ef0f3fbad27d59e9f37879a9","observation_id":"ea1f7a8b-b37d-42e5-bf27-6292e1a0577c","resolution":{"observed_at":"2026-08-10T22:35:43.919308Z","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":"2026-08-10T22:35:44.333948Z","title":"J.; Szlam, A.; Dinan, E.; and Boureau, Y.-L","venue":null,"work_id":"af6b2507-9ae9-400f-9f62-82f7171f847e","year":2022},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.923244Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:fe2a86b9cad72a74f29dcd09fb287b84d986a46565bdf9033fdf8efd3d02d417","observation_id":"6f00b4b3-7b1f-4c0e-b442-71ec4a82bb25","resolution":{"observed_at":"2026-08-10T22:35:44.337916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T22:35:44.321187Z","title":"J.; Szlam, A.; Dinan, E.; and Boureau, Y.-L","venue":null,"work_id":"d7f08daa-bf0f-456b-ae8e-59b71cbac4ea","year":2022},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.926955Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:422d85f82c2a844306d9a469ae4839a57f7ddccdc197717f38ef473ed6a0be86","observation_id":"76140d93-4bb0-48cf-b00d-9373d4f0fbb5","resolution":{"observed_at":"2026-08-10T22:35:44.325735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T22:35:44.308011Z","title":null,"venue":null,"work_id":"ac62f987-6598-4aa8-8b36-1806e1b01aa3","year":2021},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.930788Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:10f588601ed2ca3f021194da6c6e5a387308dcf34caab30500b3d4711b804dc6","observation_id":"fc470d14-7cfc-4398-ba57-fd8deee2134f","resolution":{"observed_at":"2026-08-10T22:35:44.311903Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T22:35:44.295563Z","title":null,"venue":null,"work_id":"f056e1d4-7346-40f6-b43c-9c3496d0a013","year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.934507Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:c48bfd903ac8a62d36e3177890c3ed6d5f9e918a2a3d377f0afd6710d406e5b0","observation_id":"7316a3a2-fb92-43e3-9bc4-8abdd1828f80","resolution":{"observed_at":"2026-08-10T22:35:44.299753Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.09261","last_updated":"2022-10-17T17:08:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-17T17:08:26Z","title":"Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.09261","snapshot_observed_at":"2026-08-10T22:35:43.939107Z","title":"W.; Chowdhery, A.; Le, Q","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.939107Z"},"links":{"cited_paper":"/paper/2210.09261","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:a30ca7872abf42f86c03c3b16f38d52a170b55769e3a1d05d78fc3b15a0073b8","observation_id":"88b4f048-4e97-4b13-b09a-0352066c6f09","resolution":{"observed_at":"2026-08-10T22:35:43.939107Z","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":"2026-08-10T22:35:44.282723Z","title":null,"venue":null,"work_id":"439c9cf3-ba82-4b89-afd0-b816cb345453","year":2021},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.943003Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:8b785c24cdbce7b5c170b1548437dde1ff55194307939ca07ee235143a3d74da","observation_id":"9cb80008-0378-40c8-bbbb-7c0db87695b0","resolution":{"observed_at":"2026-08-10T22:35:44.286696Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.08401","last_updated":"2023-11-14T18:59:15Z","snapshot_observed_at":"2026-08-04T04:20:13.850943Z","submitted_at":"2023-11-14T18:59:15Z","title":"Fine-tuning Language Models for Factuality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.08401","snapshot_observed_at":"2026-08-10T22:35:43.946844Z","title":"D.; and Finn, C","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.946844Z"},"links":{"cited_paper":"/paper/2311.08401","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:becc0bf1d319e66d578f1fedbc5496921a653c08edb76ed2f4158560124a672d","observation_id":"7196e2a1-ed2f-4ba5-a328-6d361b0976e0","resolution":{"observed_at":"2026-08-10T22:35:43.946844Z","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":"2026-08-10T22:35:44.271391Z","title":null,"venue":null,"work_id":"50ee3a19-4292-4b4d-b963-ef75cfb5e96e","year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.951561Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:40af971ac7880478cbd07e121eeba6f43375027f85dcb7d15e61664d08f9755a","observation_id":"eeeb3b85-3d9b-4a46-a1a6-d032d70bc1b6","resolution":{"observed_at":"2026-08-10T22:35:44.275112Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.07682","last_updated":"2022-10-26T05:06:24Z","snapshot_observed_at":"2026-08-02T15:56:35.249569Z","submitted_at":"2022-06-15T17:32:01Z","title":"Emergent Abilities of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.07682","snapshot_observed_at":"2026-08-10T22:35:43.955277Z","title":"H.; Hashimoto, T.; Vinyals, O.; Liang, P.; Dean, J.; and Fedus, W","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.955277Z"},"links":{"cited_paper":"/paper/2206.07682","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:094bc9809c61d9eba73d4310c15e0102e0d83ce74800a0504c79555a6bb2722e","observation_id":"e82d4b7e-059b-4de9-998e-a8a804365969","resolution":{"observed_at":"2026-08-10T22:35:43.955277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.18418","last_updated":"2025-02-12T05:42:09Z","snapshot_observed_at":"2026-07-06T18:52:07.765911Z","submitted_at":"2024-07-25T22:31:50Z","title":"Know Your Limits: A Survey of Abstention in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.18418","snapshot_observed_at":"2026-08-10T22:35:43.958668Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.958668Z"},"links":{"cited_paper":"/paper/2407.18418","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:3f25449705704c5efd95107a210eec7c18ec0af5a4a60214f9c8f7d54ae8f902","observation_id":"547b175b-7004-4a27-a6a2-9b5ab7260839","resolution":{"observed_at":"2026-08-10T22:35:43.958668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09085","last_updated":"2024-05-31T15:13:33Z","snapshot_observed_at":"2026-07-06T17:01:49.058644Z","submitted_at":"2023-12-14T16:16:50Z","title":"The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09085","snapshot_observed_at":"2026-08-10T22:35:43.962521Z","title":"S.; Yang, S.; Zhang, T.; Shi, W.; Zhang, T.; Fang, Z.; Xu, W.; and Qiu, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.962521Z"},"links":{"cited_paper":"/paper/2312.09085","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:3119ebd1cf2818c630a11254b38be97aefed7d53c287be1a39055faa5e29cd27","observation_id":"34bf6d9f-3787-47af-9f5a-41dbe1bfa8c3","resolution":{"observed_at":"2026-08-10T22:35:43.962521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07000","last_updated":"2024-10-28T05:15:30Z","snapshot_observed_at":"2026-08-04T20:05:49.279957Z","submitted_at":"2023-12-12T06:10:42Z","title":"Alignment for Honesty","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.07000","snapshot_observed_at":"2026-08-10T22:35:43.966546Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.966546Z"},"links":{"cited_paper":"/paper/2312.07000","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:6fa100c72ae2ef199a1c67d8a4dc52ef0473ba90cd01cc577af2331d109fd433","observation_id":"b9251df7-8615-412a-b98c-bfb29e4f8c4d","resolution":{"observed_at":"2026-08-10T22:35:43.966546Z","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":"2026-08-10T22:35:44.258756Z","title":"R.; and Cao, Y","venue":null,"work_id":"49e7feaa-6b2e-478c-b811-3dd73cf674c9","year":2023},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.970852Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:e9c32d56b53070b87c929587e4446e030009d45557073de704f6ca43dda69289","observation_id":"dd657a7e-3013-49d7-a417-c5466989cb65","resolution":{"observed_at":"2026-08-10T22:35:44.263652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18048","last_updated":"2024-02-28T04:56:21Z","snapshot_observed_at":"2026-08-10T07:05:29.873108Z","submitted_at":"2024-02-28T04:56:21Z","title":"Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18048","snapshot_observed_at":"2026-08-10T22:35:43.974468Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.974468Z"},"links":{"cited_paper":"/paper/2402.18048","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:53cbbcf2c1a6c0f9ac1f6c092b48d98ae4ab26d592843b49966381d3e0eb72ff","observation_id":"9b43a599-8375-4fad-bed7-6901bff0f610","resolution":{"observed_at":"2026-08-10T22:35:43.974468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09267","last_updated":"2024-06-11T12:22:14Z","snapshot_observed_at":"2026-08-06T13:05:16.904399Z","submitted_at":"2024-02-14T15:52:42Z","title":"Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09267","snapshot_observed_at":"2026-08-10T22:35:43.978810Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.978810Z"},"links":{"cited_paper":"/paper/2402.09267","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:c994b9a7da4bcaab1191de2f96cf52cbf25c1e39733a375581fd3e5a1d772ecc","observation_id":"29b22627-fb9d-4c62-b229-767c32551ffc","resolution":{"observed_at":"2026-08-10T22:35:43.978810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.12545","last_updated":"2024-05-06T22:02:10Z","snapshot_observed_at":"2026-08-06T21:09:08.643045Z","submitted_at":"2024-02-19T21:12:14Z","title":"TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.12545","snapshot_observed_at":"2026-08-10T22:35:43.982737Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.982737Z"},"links":{"cited_paper":"/paper/2402.12545","citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:9b2ecc1ac3257fce677df55847e04a748e2523576230432fbd60b37a2f122fad","observation_id":"80097e9c-0647-4a6e-a112-c43d8fb7b8b5","resolution":{"observed_at":"2026-08-10T22:35:43.982737Z","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":"2026-08-10T22:35:43.986388Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.986388Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:7b9d39cbe9283214c299beb7e4d223225909a45fbfe46ad55c2653be0b40b861","observation_id":"3d04a755-b052-493a-af0e-f7c7d08cd046","resolution":{"observed_at":"2026-08-10T22:35:43.986388Z","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":"2026-08-10T22:35:43.990637Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T22:35:43.990637Z"},"links":{"citing_paper":"/paper/2501.01336"},"observation_digest":"sha256:d8d0861c06d82941285382a7a140cd59a748d869de7b4d82c3d4f5fd738e111b","observation_id":"3a0026a7-2303-48ae-825b-eb08c1c671b2","resolution":{"observed_at":"2026-08-10T22:35:43.990637Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.01336","last_updated":"2025-01-02T16:38:21Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T22:27:18.424313Z","submitted_at":"2025-01-02T16:38:21Z","title":"Aligning Large Language Models for Faithful Integrity Against Opposing Argument"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":39},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2501.01336."}