{"as_of":"2026-08-18T20:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0eaf859064e0f330b2af1fc9737a6370f7c1814a53712fab6169a80b1a7aebf9","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":"2026-08-11T20:55:26.961271Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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":"2026-08-07T22:47:39.110102Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T22:47:39.181263Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"cited_work":{"arxiv_id":"2412.05223","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.05223","snapshot_observed_at":"2026-08-07T22:47:39.181263Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","venue":"cs.CL","work_id":"1ea82725-2425-400d-81c6-a94e3e0b8747","year":2024},"citing_paper":{"arxiv_id":"2502.09073","last_updated":"2025-02-13T08:42:29Z","snapshot_observed_at":"2026-08-09T02:49:28.797671Z","submitted_at":"2025-02-13T08:42:29Z","title":"Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T22:47:39.110102Z"},"links":{"cited_paper":"/paper/2412.05223","citing_paper":"/paper/2502.09073"},"observation_digest":"sha256:4d9a6a3f0d309697e1846d650c343481ee6f58652c16ed4c087eaf02285b77d9","observation_id":"5211a21a-3dc3-46b3-a199-89ca6ceaa98c","resolution":{"observed_at":"2026-08-07T22:47:39.187886Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2412.05223/citation-record","integrity":"/paper/2412.05223/integrity","json":"/paper/2412.05223/citation-record.json","paper":"/paper/2412.05223"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.05922","last_updated":"2023-09-12T02:34:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-12T02:34:06Z","title":"A Survey of Hallucination in Large Foundation Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.05922","snapshot_observed_at":"2026-08-11T20:55:26.864507Z","title":"A survey of hal lucination in large foundation models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.864507Z"},"links":{"cited_paper":"/paper/2309.05922","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:486f9c687064300ff5e2e325d61837d63db6ba36a1eb87d7b0b4bc16f97e799e","observation_id":"6c04f54c-1a93-4240-a4df-f6eafb1da5b7","resolution":{"observed_at":"2026-08-11T20:55:26.864507Z","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":"10.1145/3688007","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:55:26.993045Z","title":"Gpts and hallucination: W hy do large language models hallucinate? Queue, 22(4):19–33, September 2024","venue":null,"work_id":"59f0df4c-72d8-4a54-b315-844ad19cc668","year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.870238Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:885ec0960db4ca8f78b91d2842f0da9099638e458b0f9ecc4486f46bed55ebf9","observation_id":"0cf67591-f960-4f9a-87be-8a1e0072e546","resolution":{"observed_at":"2026-08-11T20:55:26.999472Z","resolver_source":"doi","status":"verified_exact"},"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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:55:26.874680Z","title":"Factuality challenges in the er a of large language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.874680Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:2054936c0f67991ec0e34780ff0c03114ff72fd35e3fa122c6d31dd32c285ab8","observation_id":"817b7e6b-a33c-48f9-bc80-61ecc157ee98","resolution":{"observed_at":"2026-08-11T20:55:26.874680Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-11T20:55:26.880548Z","title":"Retrieval-augmented generation for knowledg e-intensive nlp tasks, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.880548Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:c97e43ec284640040e5835618b65fad8846a243be820322c67cb9b11ac3bfbc7","observation_id":"0f6265e9-df4e-4ed9-87f7-1acffce0daa2","resolution":{"observed_at":"2026-08-11T20:55:26.880548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-11T20:55:26.885508Z","title":"Retrieval-augmented generatio n for large language models: A survey, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.885508Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:b4c6d0b4df80eaf5af2485198c57e3a9a11e4db11004ae96c929360d113e2186","observation_id":"865031b5-0315-4a0b-af98-dbdc22c5f2b8","resolution":{"observed_at":"2026-08-11T20:55:26.885508Z","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":"2026-08-11T20:55:27.482843Z","title":"Long context rag performance of llms, 2024","venue":null,"work_id":"365a4bb0-84fd-4bb3-a11f-7506fd28366a","year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.890744Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:94811adbf7334854ddea02d50395105f5b8069ca308f061c4876d899a078d7a0","observation_id":"63292fac-71b5-4ac5-93d0-ecc3f45a3ed4","resolution":{"observed_at":"2026-08-11T20:55:27.505359Z","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":"2109.07958","last_updated":"2022-05-08T02:43:02Z","snapshot_observed_at":"2026-08-03T16:26:48.747700Z","submitted_at":"2021-09-08T17:15:27Z","title":"TruthfulQA: Measuring How Models Mimic Human Falsehoods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07958","snapshot_observed_at":"2026-08-11T20:55:26.896057Z","title":"Truthfulq a: Measuring how models mimic human falsehoods, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.896057Z"},"links":{"cited_paper":"/paper/2109.07958","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:511c80566efc42698cea5918c0db63c7c2457f51a544aef47e17a5c8b54a5a56","observation_id":"3b320a53-dd78-4741-b2fc-b800b5632c8d","resolution":{"observed_at":"2026-08-11T20:55:26.896057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04368","last_updated":"2024-11-07T01:58:42Z","snapshot_observed_at":"2026-08-17T10:08:57.374438Z","submitted_at":"2024-11-07T01:58:42Z","title":"Measuring short-form factuality in large language models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04368","snapshot_observed_at":"2026-08-11T20:55:26.901084Z","title":"Measuring short- form factuality in large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.901084Z"},"links":{"cited_paper":"/paper/2411.04368","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:7ecaedb641f3b762fa8024fd2d4e95e52ff7efe19939f72ff4e493f58e9121fa","observation_id":"3c931fb1-a8f3-46e2-9890-e16ce7c9656d","resolution":{"observed_at":"2026-08-11T20:55:26.901084Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.11005","last_updated":"2025-01-16T10:05:17Z","snapshot_observed_at":"2026-08-18T18:46:54.189928Z","submitted_at":"2024-06-25T20:23:15Z","title":"RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.11005","snapshot_observed_at":"2026-08-11T20:55:26.906278Z","title":"Ragben ch: Explain- able benchmark for retrieval-augmented generation system s, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.906278Z"},"links":{"cited_paper":"/paper/2407.11005","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:e9a42008b5df222226e2db331e04d791d5deb1b9a089669d17d5979e983fe2b5","observation_id":"b18d3ea0-933f-4745-9ef0-695da675783b","resolution":{"observed_at":"2026-08-11T20:55:26.906278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00396","last_updated":"2024-05-17T06:29:31Z","snapshot_observed_at":"2026-08-16T15:25:56.339870Z","submitted_at":"2023-12-31T04:43:45Z","title":"RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00396","snapshot_observed_at":"2026-08-11T20:55:26.910959Z","title":"Ragtruth: A hallucination corpus for develo ping trustworthy retrieval- augmented language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.910959Z"},"links":{"cited_paper":"/paper/2401.00396","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:5c07b66a5357117742d3a9899dd9466991266869cc1d4863a1bb290cdb200abd","observation_id":"b24c164d-a719-4512-bf9b-517db4dbcdcb","resolution":{"observed_at":"2026-08-11T20:55:26.910959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04093","last_updated":"2024-06-06T14:10:12Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-06T14:10:12Z","title":"Scaling and evaluating sparse autoencoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04093","snapshot_observed_at":"2026-08-11T20:55:26.915370Z","title":"Scaling and evaluatin g sparse autoencoders, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.915370Z"},"links":{"cited_paper":"/paper/2406.04093","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:c940d8e041ee6c3990fca986717cf7540abe01298708c11c3711976eaff6da19","observation_id":"e969fc75-990e-46ae-a7b1-f45a9e015579","resolution":{"observed_at":"2026-08-11T20:55:26.915370Z","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":"2026-08-11T20:55:27.457431Z","title":"Scaling monosemanticity: Extracting inte r- pretable features from claude 3 sonnet, 2024","venue":null,"work_id":"c9005af8-9d61-4c38-abde-45827b1b990f","year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.922623Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:6c37c4283bd9ecce1d408158bc3ecc2ee7b97e5c4d2621d39464778a752646d4","observation_id":"fdb8e193-3e43-48a4-817c-071eb33095b3","resolution":{"observed_at":"2026-08-11T20:55:27.469253Z","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":"2026-08-11T20:55:27.437303Z","title":null,"venue":null,"work_id":"2c8d6216-06d4-4fc3-bcbd-c53b76ed74d6","year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.926858Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:6c5c2108329956bc47c76396deaa0df61a0dd832869fde08a62d3a9a56bc5bcc","observation_id":"a5e712b6-bfef-4eca-96a8-0233c09d0630","resolution":{"observed_at":"2026-08-11T20:55:27.444911Z","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":{"arxiv_id":"2307.16877","last_updated":"2024-04-17T17:52:18Z","snapshot_observed_at":"2026-08-16T15:11:52.504582Z","submitted_at":"2023-07-31T17:41:00Z","title":"Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.16877","snapshot_observed_at":"2026-08-11T20:55:26.931645Z","title":"Evaluating correctness and faithfulness of instruction-f ollowing models for question answer- ing, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.931645Z"},"links":{"cited_paper":"/paper/2307.16877","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:ee4234e5546ab90a99e5966395f027c9ef55f88b34d359961d9f0b3386447168","observation_id":"57936532-64f8-4f30-a6c6-67db7e43e9d5","resolution":{"observed_at":"2026-08-11T20:55:26.931645Z","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":"2026-08-11T20:55:27.415021Z","title":null,"venue":null,"work_id":"b58ba2f6-ec03-450a-823c-1d5999708756","year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.937857Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:fd0c58ccea78eeb8d1bba7aa0ee5d4ddd28ac892bf0754660b62a7ec5c908ec4","observation_id":"997f208a-13e4-4621-9361-e578e33eb3ef","resolution":{"observed_at":"2026-08-11T20:55:27.420906Z","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":"2026-08-11T20:55:27.392324Z","title":null,"venue":null,"work_id":"37ab855f-a2f8-4a48-a781-b0d2532e1068","year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.942651Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:37e45b9d3b38aae18984a6b4cd60cf22c60167fd16b8739f94a84b27c8cfe24a","observation_id":"18396f51-003f-4f2e-a7e0-cefc7ab3181d","resolution":{"observed_at":"2026-08-11T20:55:27.397365Z","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":"2026-08-11T20:55:27.372922Z","title":null,"venue":null,"work_id":"b9c2abc9-94c5-49a8-afbb-e21e809b27ce","year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.946644Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:22950ace0ba847ddd498e93fa6281fdb6427d7d3ac2e90e3a187c21d443dcbdc","observation_id":"a6dc9e1a-0ce1-4328-896b-4f8510d86d87","resolution":{"observed_at":"2026-08-11T20:55:27.379770Z","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":"2026-08-11T20:55:27.347031Z","title":"Bhattacharyya","venue":null,"work_id":"099e9812-1c9f-4bb2-8681-a68c4b026948","year":null},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.952153Z"},"links":{"citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:d84a3d6ebdddc14a4a7371e245bef5d2cc9ffd939e5428323ad0462afe0551db","observation_id":"add29f5a-b62b-4a0a-a0ab-3ebabce99786","resolution":{"observed_at":"2026-08-11T20:55:27.362093Z","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":"2409.01666","last_updated":"2024-09-03T07:17:41Z","snapshot_observed_at":"2026-08-16T13:21:52.311084Z","submitted_at":"2024-09-03T07:17:41Z","title":"In Defense of RAG in the Era of Long-Context Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.01666","snapshot_observed_at":"2026-08-11T20:55:26.956672Z","title":"In defense of rag in the era of long-context language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.956672Z"},"links":{"cited_paper":"/paper/2409.01666","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:0c535578adfe0aee2a7bc814bccaf4f10c7bd3555401b55f256eb65572fc316c","observation_id":"928ab6be-f834-49d9-bd75-fa707086fbef","resolution":{"observed_at":"2026-08-11T20:55:26.956672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15319","last_updated":"2024-09-01T17:21:18Z","snapshot_observed_at":"2026-08-18T05:43:41.972314Z","submitted_at":"2024-06-21T17:23:21Z","title":"LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15319","snapshot_observed_at":"2026-08-11T20:55:26.961271Z","title":"benefits of ice for neck","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T20:55:26.961271Z"},"links":{"cited_paper":"/paper/2406.15319","citing_paper":"/paper/2412.05223"},"observation_digest":"sha256:03134dba027764e43746bb61859b847f51047d5b7195565440f46443f3523aab","observation_id":"3f7390db-9abc-4d8b-b0ab-b4a992ad50e3","resolution":{"observed_at":"2026-08-11T20:55:26.961271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.05223","last_updated":"2025-03-26T15:18:53Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T16:11:47.623278Z","submitted_at":"2024-12-06T17:54:54Z","title":"100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":1,"verified_fuzzy":3},"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 1 inbound Pith citation observation for arXiv:2412.05223."}