{"as_of":"2026-08-08T04:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94d2b62bb95ea98998905732a5e7af54142bdf3adeaad061003d6c546157a054","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":26,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:10:29.479041Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":16,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-07T14:10:29.479041Z","title":"Financial report chunking for effective retrieval augmented generation.arXiv preprint arXiv:2402.05131, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19864","last_updated":"2025-05-26T11:48:32Z","snapshot_observed_at":"2026-08-07T14:02:49.934041Z","submitted_at":"2025-05-26T11:48:32Z","title":"CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:10:29.479041Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2505.19864"},"observation_digest":"sha256:f11ce8ed0b857c29ca567291af02d94fab04238f5e9a82ec01edeaee3de04678","observation_id":"4796b999-d99e-4a4a-9fd8-3a63dacb6d6d","resolution":{"observed_at":"2026-08-07T14:10:29.479041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-07T05:28:46.144355Z","title":"ArXiv, abs/2402.05131","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13778","last_updated":"2025-06-09T16:15:11Z","snapshot_observed_at":"2026-08-07T05:20:22.875959Z","submitted_at":"2025-06-09T16:15:11Z","title":"Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:28:46.144355Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2506.13778"},"observation_digest":"sha256:cd8d01a0bdc6f6f2b101a4dedcbba6aba56afa9c8a382f3a604d8324c09481fe","observation_id":"626f72ee-d3a1-4ed2-b0ce-270768c27d70","resolution":{"observed_at":"2026-08-07T05:28:46.144355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-07T04:09:27.017320Z","title":"Fi- nancial report chunking for effective retrieval augmented generation.arXiv preprint arXiv:2402.05131, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.17277","last_updated":"2025-06-13T07:44:53Z","snapshot_observed_at":"2026-08-07T22:56:47.628288Z","submitted_at":"2025-06-13T07:44:53Z","title":"Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:09:27.017320Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2506.17277"},"observation_digest":"sha256:ca387b8a8f3ffea4107e223c162cc34667fc1667edd63ec2c1109dab8df048f0","observation_id":"f5714205-d2d2-4e5e-9bd6-42508ae27c3e","resolution":{"observed_at":"2026-08-07T04:09:27.017320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2506.20821","last_updated":"2025-06-25T20:37:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-25T20:37:20Z","title":"MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-19T07:21:12.441133Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2506.20821"},"observation_digest":"sha256:0c33ef595757c763479da3bf1b3664c4bbe103021975bbb98d75c6135b472615","observation_id":"c4f8a86b-7efd-4918-9091-28d85d74fdd4","resolution":{"observed_at":"2026-05-19T07:22:09.226042Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T17:24:24.038647Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16713","last_updated":"2025-08-22T15:17:44Z","snapshot_observed_at":"2026-08-05T17:24:23.229190Z","submitted_at":"2025-08-22T15:17:44Z","title":"CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T17:24:24.038647Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2508.16713"},"observation_digest":"sha256:e5df44b2272c6e523778153f57987190defe9915da856aec8580c5c86408f804","observation_id":"184f49b6-4536-45d3-9c17-17f6cc1e5798","resolution":{"observed_at":"2026-08-05T17:24:24.038647Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T14:39:42.475712Z","title":"J., You, Y., Milczek, J., Laverde, S., & Li, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.21024","last_updated":"2025-08-28T17:27:09Z","snapshot_observed_at":"2026-08-07T20:58:50.495585Z","submitted_at":"2025-08-28T17:27:09Z","title":"An Agile Method for Implementing Retrieval Augmented Generation Tools in Industrial SMEs","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T14:39:42.475712Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2508.21024"},"observation_digest":"sha256:714fa46723d260e60044578707b78f8b7cd0ae3517f7912a535e359eb9b7172c","observation_id":"de2225aa-42f3-4d5d-abe1-a861d74aa5b9","resolution":{"observed_at":"2026-08-05T14:39:42.475712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T13:20:39.316685Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00728","last_updated":"2025-08-31T07:45:40Z","snapshot_observed_at":"2026-08-07T09:28:21.792586Z","submitted_at":"2025-08-31T07:45:40Z","title":"A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives","version":1},"reference_index":157,"source":"pdf_text","source_observed_at":"2026-08-05T13:20:39.316685Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2509.00728"},"observation_digest":"sha256:73e0bc57f14a40accaa567e5d55482f2b78c953c029d67c599f380adadbc466e","observation_id":"44b28132-4553-45cc-bb09-d727bd8f8ec4","resolution":{"observed_at":"2026-08-05T13:20:39.316685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T15:29:44.883813Z","title":"arXiv:2402.05131 [cs.CL] https://arxiv.org/abs/2402.05131","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.03536","last_updated":"2025-08-27T12:31:37Z","snapshot_observed_at":"2026-08-05T22:54:36.693074Z","submitted_at":"2025-08-27T12:31:37Z","title":"PG-Agent: An Agent Powered by Page Graph","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T15:29:44.883813Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2509.03536"},"observation_digest":"sha256:bbcbfb55090709e44a04f2efab62cbe03011fd63e0809d897ce4616270a5dc26","observation_id":"96c1a30c-0adc-4e87-84c8-66460423126d","resolution":{"observed_at":"2026-08-05T15:29:44.883813Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T05:14:15.098696Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05691","last_updated":"2025-09-06T11:44:26Z","snapshot_observed_at":"2026-08-05T05:14:13.949057Z","submitted_at":"2025-09-06T11:44:26Z","title":"Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T05:14:15.098696Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2509.05691"},"observation_digest":"sha256:94ecddaec3cdcc895ed567105be5c37ed31675b05b40cbb8cd9459da95c4ea9f","observation_id":"c2963e52-f081-495a-8401-2bb07e1f892d","resolution":{"observed_at":"2026-08-05T05:14:15.098696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2509.09544","last_updated":"2026-05-26T16:53:51Z","snapshot_observed_at":"2026-08-04T18:57:13.421998Z","submitted_at":"2025-09-11T15:37:56Z","title":"MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-18T17:42:34.395450Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2509.09544"},"observation_digest":"sha256:223fd2da439e351c11895a2b40db30081c819b3b9df5440aace33b04b06f7a4e","observation_id":"06b3a6ac-a410-44f3-81de-150fe5d1151e","resolution":{"observed_at":"2026-05-18T17:42:46.392232Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-04T18:57:21.803131Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09544","last_updated":"2026-05-26T16:53:51Z","snapshot_observed_at":"2026-08-04T18:57:13.421998Z","submitted_at":"2025-09-11T15:37:56Z","title":"MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)","version":3},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-04T18:57:21.803131Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2509.09544"},"observation_digest":"sha256:5626322d938f1a401864cc2e98e1a2a3f4aeefc7b9678ae902639b8be0b31a7e","observation_id":"0440f7a1-517e-4025-857e-72388347138c","resolution":{"observed_at":"2026-08-04T18:57:21.803131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2604.07403","last_updated":"2026-04-08T10:33:54Z","snapshot_observed_at":"2026-07-31T08:32:09.299699Z","submitted_at":"2026-04-08T10:33:54Z","title":"RefineRAG: Word-Level Poisoning Attacks via Retriever-Guided Text Refinement","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T18:13:22.221234Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2604.07403"},"observation_digest":"sha256:887dc9df1956975f34b20741e8e72a5451517a2e4cdd2edc17ab313e6116212e","observation_id":"4b078b5d-e628-47a5-8d22-bb0e82e3575d","resolution":{"observed_at":"2026-05-11T05:16:04.848856Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2604.12047","last_updated":"2026-04-13T20:39:43Z","snapshot_observed_at":"2026-07-06T23:00:17.634307Z","submitted_at":"2026-04-13T20:39:43Z","title":"Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T15:17:27.749792Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2604.12047"},"observation_digest":"sha256:6b36a20e1ca2e5fdd1211d2a5712cfd16e1e8956126c9603fcb6d91060277ce2","observation_id":"039b3a63-bfd9-4111-98a6-a68e48c1a0c1","resolution":{"observed_at":"2026-05-11T10:51:03.938630Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2604.14222","last_updated":"2026-04-14T10:48:13Z","snapshot_observed_at":"2026-07-06T23:02:05.116649Z","submitted_at":"2026-04-14T10:48:13Z","title":"Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T14:42:00.856705Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2604.14222"},"observation_digest":"sha256:eb25df0049881a64a65b1edd2d9dad3032b42bc9405db383dec4e5f2d4767558","observation_id":"9213e37e-8dae-4288-9946-d365150b500f","resolution":{"observed_at":"2026-05-10T14:45:41.518979Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2604.17979","last_updated":"2026-05-10T23:16:19Z","snapshot_observed_at":"2026-07-30T02:38:45.462643Z","submitted_at":"2026-04-20T08:59:41Z","title":"Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T04:21:20.729928Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2604.17979"},"observation_digest":"sha256:22fa35c1b8fdc46a0511076fe45bdf84b0531f7927965dec41aebe02c5ac64d7","observation_id":"b3db0311-e90b-425e-9807-b24320a23165","resolution":{"observed_at":"2026-05-11T12:01:05.395330Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2604.17979","last_updated":"2026-05-10T23:16:19Z","snapshot_observed_at":"2026-07-30T02:38:45.462643Z","submitted_at":"2026-04-20T08:59:41Z","title":"Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T01:56:16.227411Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2604.17979"},"observation_digest":"sha256:762606904aa09b26f3da26cc81c0a421aed22c58bb0b2fe7cda3a546b9c1415a","observation_id":"fafbe956-f4be-42a3-933b-e5961588c21b","resolution":{"observed_at":"2026-05-12T07:46:41.252363Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2604.22861","last_updated":"2026-04-23T01:55:08Z","snapshot_observed_at":"2026-07-06T23:09:10.050398Z","submitted_at":"2026-04-23T01:55:08Z","title":"IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-09T21:18:40.596340Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2604.22861"},"observation_digest":"sha256:273bda2b3216aeb6e33bba113516a58875f47bba121074fdfb6afb30aea5be76","observation_id":"50c7e38a-8b3f-46c4-8460-9154d09f1d95","resolution":{"observed_at":"2026-05-11T14:41:13.065346Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2605.12916","last_updated":"2026-05-13T02:44:08Z","snapshot_observed_at":"2026-08-07T16:11:26.473880Z","submitted_at":"2026-05-13T02:44:08Z","title":"SHM-Agents: A Generalist-Specialist Integrated Agent System for Structural Health Monitoring","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-06-30T21:50:07.617384Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2605.12916"},"observation_digest":"sha256:af7ae02436bb929a2c3a761b7561a2fef1e757cacf35debdf84ba6219454bc3f","observation_id":"0c189861-87a7-4413-9232-aaf3e6b578ef","resolution":{"observed_at":"2026-06-30T21:55:04.848373Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2605.25030","last_updated":"2026-05-24T12:15:27Z","snapshot_observed_at":"2026-08-01T15:31:44.956983Z","submitted_at":"2026-05-24T12:15:27Z","title":"MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T12:27:46.629948Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2605.25030"},"observation_digest":"sha256:ee9683d3f13e42449b93cdb27ee7589f60e4954c39173354846ee6faee5042f1","observation_id":"5ce10027-8403-4cac-bf61-d38b5a689119","resolution":{"observed_at":"2026-06-30T12:34:38.865522Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2606.13100","last_updated":"2026-06-11T09:28:43Z","snapshot_observed_at":"2026-07-06T23:51:55.044440Z","submitted_at":"2026-06-11T09:28:43Z","title":"LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T07:09:33.306631Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2606.13100"},"observation_digest":"sha256:525d99dc4ee26c67d482403d7964f9401cee67b2079a943df105283bd5c01f19","observation_id":"6e1d5f21-a377-4296-9da1-f4622e833526","resolution":{"observed_at":"2026-07-03T14:08:22.494503Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2606.19887","last_updated":"2026-06-24T07:42:32Z","snapshot_observed_at":"2026-07-06T23:55:05.932014Z","submitted_at":"2026-06-18T07:46:18Z","title":"FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-26T17:11:40.088809Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2606.19887"},"observation_digest":"sha256:8bc71b1e72228cca18efaaf2ca46bad4faf12e488304c2ff74826cec10505c50","observation_id":"1080e606-59ee-4016-b310-a7666e411d53","resolution":{"observed_at":"2026-07-04T04:09:34.737490Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":"2402.05131","doi":"10.48550/arxiv.2402.05131","metadata_source":"arxiv_reference","pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Financial report chunking for effective retrieval augmented generation","venue":"arXiv (Cornell University)","work_id":"ce2256c4-ea3b-483a-a655-41b0b0960acd","year":2024},"citing_paper":{"arxiv_id":"2607.01852","last_updated":"2026-07-02T08:12:35Z","snapshot_observed_at":"2026-08-06T23:53:26.271635Z","submitted_at":"2026-07-02T08:12:35Z","title":"Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-03T06:57:26.465300Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2607.01852"},"observation_digest":"sha256:f691eda02cc311ec68c49e3d9291c1b8113f707b51858661a1ebbf2782fa6d4f","observation_id":"aeccf0d3-6f39-4c3d-a140-8903fd7513f9","resolution":{"observed_at":"2026-07-03T06:57:42.241736Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-01T16:10:06.589066Z","title":"arXiv preprint arXiv:2402.05131(2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18102","last_updated":"2026-07-21T15:53:04Z","snapshot_observed_at":"2026-08-02T22:00:09.838023Z","submitted_at":"2026-07-20T16:03:15Z","title":"FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T16:10:06.589066Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2607.18102"},"observation_digest":"sha256:995ed6f3c3b1e8b82fce74524dd998091ad273966137f49e344790a00e77079a","observation_id":"1e27d5e9-cf8d-4fb0-9bb8-f1826c16a58f","resolution":{"observed_at":"2026-08-01T16:10:06.589066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-02T11:59:50.811005Z","title":"Financialreportchunkingforeffectiveretrievalaugmented generation.arXiv preprint arXiv:2402.05131, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.24767","last_updated":"2026-06-08T13:55:14Z","snapshot_observed_at":"2026-08-07T21:43:15.523875Z","submitted_at":"2026-06-08T13:55:14Z","title":"The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T11:59:50.811005Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2607.24767"},"observation_digest":"sha256:fb9903d37f48d6e6b841f7bb9c6ea525e6856f148d754f5882bb58be64104f7a","observation_id":"7519f3a0-28d0-4609-a3f7-88a2a102bccf","resolution":{"observed_at":"2026-08-02T11:59:50.811005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-01T06:25:06.257886Z","title":"arXiv preprint arXiv:2402.05131 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27523","last_updated":"2026-07-29T23:25:45Z","snapshot_observed_at":"2026-08-05T05:15:12.691181Z","submitted_at":"2026-07-29T23:25:45Z","title":"Hierarchical Reranking for Scalable Financial RAG System","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T06:25:06.257886Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2607.27523"},"observation_digest":"sha256:780013251bc8342caaa0c85b23aff28cab0101fa4ca772a82e1134a6380a0211","observation_id":"95825d16-c6db-41d1-ab25-f05717488f00","resolution":{"observed_at":"2026-08-01T06:25:06.257886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05131","snapshot_observed_at":"2026-08-03T07:44:26.184995Z","title":"Financial report chunking for effective retrieval augmented generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.29402","last_updated":"2026-07-31T13:22:11Z","snapshot_observed_at":"2026-08-06T15:07:50.473027Z","submitted_at":"2026-07-31T13:22:11Z","title":"Bridging the Question-Answer Gap in Retrieval-Augmented Generation: Hypothetical Prompt Embeddings","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T07:44:26.184995Z"},"links":{"cited_paper":"/paper/2402.05131","citing_paper":"/paper/2607.29402"},"observation_digest":"sha256:6d7d43ad7f4767e50474f355089d6215bbd1bd05a0b371931395a9d86f83cf85","observation_id":"ea03d399-90d3-4dc5-a914-f688b120cb1e","resolution":{"observed_at":"2026-08-03T07:44:26.184995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.05131/citation-record","integrity":"/paper/2402.05131/integrity","json":"/paper/2402.05131/citation-record.json","paper":"/paper/2402.05131"},"outbound":[],"paper":{"arxiv_id":"2402.05131","last_updated":"2024-03-16T09:08:26Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:27:03.686119Z","submitted_at":"2024-02-05T22:35:42Z","title":"Financial Report Chunking for Effective Retrieval Augmented Generation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2402.05131."}