{"as_of":"2026-08-07T21:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2109884adaba2dac91c3190deec7d9f186df73af86dfa0b044918326a7b04f33","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:17:51.891463Z","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":12,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":"2212.09597","doi":"10.48550/arxiv.2212.09597","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reasoning with language model prompting: A survey","venue":"arXiv (Cornell University)","work_id":"d0350429-5760-4385-84ff-056067ef8b24","year":2022},"citing_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T22:46:39.268353Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2303.18223"},"observation_digest":"sha256:73562b70d60afe513090a5f85b1864f1f5cc9befd32c671158d756a10220fdee","observation_id":"99a2624b-0a80-464b-89d2-302b48e5d178","resolution":{"observed_at":"2026-05-10T22:46:40.014733Z","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":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":"2212.09597","doi":"10.48550/arxiv.2212.09597","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reasoning with language model prompting: A survey","venue":"arXiv (Cornell University)","work_id":"d0350429-5760-4385-84ff-056067ef8b24","year":2022},"citing_paper":{"arxiv_id":"2311.05232","last_updated":"2024-11-19T12:42:45Z","snapshot_observed_at":"2026-07-06T16:45:07.733095Z","submitted_at":"2023-11-09T09:25:37Z","title":"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions","version":2},"reference_index":262,"source":"pdf_text","source_observed_at":"2026-05-13T02:46:26.957539Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2311.05232"},"observation_digest":"sha256:995d644edfafda54b2d5d60a51e7bc79211a28fd6a7ccffa646712b7826cbee7","observation_id":"16d0b1d2-77d2-4ea2-855c-824d26692afc","resolution":{"observed_at":"2026-05-13T02:46:27.870832Z","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":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":"2212.09597","doi":"10.48550/arxiv.2212.09597","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reasoning with language model prompting: A survey","venue":"arXiv (Cornell University)","work_id":"d0350429-5760-4385-84ff-056067ef8b24","year":2022},"citing_paper":{"arxiv_id":"2404.18930","last_updated":"2025-04-01T18:36:08Z","snapshot_observed_at":"2026-08-06T19:08:14.800394Z","submitted_at":"2024-04-29T17:59:41Z","title":"Hallucination of Multimodal Large Language Models: A Survey","version":2},"reference_index":135,"source":"pdf_text","source_observed_at":"2026-05-11T12:33:32.631346Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2404.18930"},"observation_digest":"sha256:5125068e78484fa87570e4d9106eeee7532f897f9e4e3a701d8d887e830367fc","observation_id":"74609f09-f5dd-4f42-97af-cd4eb3df7c57","resolution":{"observed_at":"2026-05-11T12:33:32.904581Z","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":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":"2212.09597","doi":"10.48550/arxiv.2212.09597","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reasoning with language model prompting: A survey","venue":"arXiv (Cornell University)","work_id":"d0350429-5760-4385-84ff-056067ef8b24","year":2022},"citing_paper":{"arxiv_id":"2410.04047","last_updated":"2026-04-10T06:16:18Z","snapshot_observed_at":"2026-07-06T19:28:18.775189Z","submitted_at":"2024-10-05T06:04:19Z","title":"TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis","version":6},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-23T19:45:39.130509Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2410.04047"},"observation_digest":"sha256:b78c1d69b56020e50e26cfe09b666143c9fe5ea55f44d390efa3e04d0c62ad52","observation_id":"67454993-41a9-40eb-9a89-8b6585b4b79d","resolution":{"observed_at":"2026-05-23T19:45:47.236855Z","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":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":"2212.09597","doi":"10.48550/arxiv.2212.09597","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reasoning with language model prompting: A survey","venue":"arXiv (Cornell University)","work_id":"d0350429-5760-4385-84ff-056067ef8b24","year":2022},"citing_paper":{"arxiv_id":"2503.22693","last_updated":"2026-05-20T06:35:51Z","snapshot_observed_at":"2026-08-02T19:43:11.453664Z","submitted_at":"2025-03-14T01:35:20Z","title":"Bridging Language Models and Financial Analysis","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-23T01:08:58.528533Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2503.22693"},"observation_digest":"sha256:4869115b33a26e458390c49c03e6167c6ec53f6b61296b8f4679e16d76e78c02","observation_id":"fd45721b-ced5-4cd5-968d-8b64c3aa0fd5","resolution":{"observed_at":"2026-05-23T01:12:20.849827Z","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":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-07T15:17:51.891463Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.15684","last_updated":"2025-05-23T11:59:22Z","snapshot_observed_at":"2026-08-07T19:18:25.150736Z","submitted_at":"2025-05-21T15:58:16Z","title":"ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T15:17:51.891463Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2505.15684"},"observation_digest":"sha256:936204ec2adc26781ddd261a5f38f1893279be0a41b1a91583140e7be4d3d197","observation_id":"6eacae7a-9515-496b-b3b9-45287e38a8ef","resolution":{"observed_at":"2026-08-07T15:17:51.891463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-07T14:07:48.738564Z","title":"Reasoning with language model prompting: A survey.arXiv preprint arXiv:2212.09597, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.19949","last_updated":"2025-05-26T13:15:26Z","snapshot_observed_at":"2026-08-07T14:00:43.000346Z","submitted_at":"2025-05-26T13:15:26Z","title":"Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:07:48.738564Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2505.19949"},"observation_digest":"sha256:cf58143a215c25b67c3d0c5063d711d34fcbfc41d43fc169cb300fcb171147bc","observation_id":"291457a2-b043-483a-9d34-bd7e1b2e7d0d","resolution":{"observed_at":"2026-08-07T14:07:48.738564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-07T14:05:19.282572Z","title":"Reasoning with language model prompting: A survey","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20128","last_updated":"2025-05-26T15:27:55Z","snapshot_observed_at":"2026-08-07T20:40:53.191299Z","submitted_at":"2025-05-26T15:27:55Z","title":"Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T14:05:19.282572Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2505.20128"},"observation_digest":"sha256:435475126b32123e21bbeb8761abbeb6ed0bc8b2899247619e19b32ea1f1ec62","observation_id":"0a4b7a2c-ad48-4b13-bd84-4d8a6b1918dd","resolution":{"observed_at":"2026-08-07T14:05:19.282572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-06T22:43:28.796482Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.20944","last_updated":"2025-06-26T02:20:45Z","snapshot_observed_at":"2026-08-07T15:29:24.292791Z","submitted_at":"2025-06-26T02:20:45Z","title":"E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:43:28.796482Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2506.20944"},"observation_digest":"sha256:3a22213b5e620eb309b0e87fc70bfac48d18be9d92f7266e2295cf4199cff03a","observation_id":"c05969c3-a81c-4deb-b52d-cd05fdd58844","resolution":{"observed_at":"2026-08-06T22:43:28.796482Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-06T05:14:37.196964Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.02178","last_updated":"2026-06-29T02:19:28Z","snapshot_observed_at":"2026-08-07T20:42:16.632978Z","submitted_at":"2025-08-04T08:22:14Z","title":"Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning","version":3},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T05:14:37.196964Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2508.02178"},"observation_digest":"sha256:71e6f9602c3f51b332408fd0313a6963193499d0ddf5c28ff75ab7b4750c9e9b","observation_id":"30d4432b-ca4a-4fe7-83f1-193ce9bfba19","resolution":{"observed_at":"2026-08-06T05:14:37.196964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":"2212.09597","doi":"10.48550/arxiv.2212.09597","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reasoning with language model prompting: A survey","venue":"arXiv (Cornell University)","work_id":"d0350429-5760-4385-84ff-056067ef8b24","year":2022},"citing_paper":{"arxiv_id":"2510.25939","last_updated":"2026-04-07T09:33:43Z","snapshot_observed_at":"2026-07-06T22:34:23.736456Z","submitted_at":"2025-10-29T20:20:51Z","title":"SoK: Honeypots & LLMs, More Than the Sum of Their Parts?","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-18T03:03:29.755428Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2510.25939"},"observation_digest":"sha256:544595a97e1080b9515ae7e290f6a899bb1794c7f4cda4bc931929daee579ce0","observation_id":"6c934d67-ed6f-4ec2-acd3-1343619fa325","resolution":{"observed_at":"2026-05-18T03:05:48.258964Z","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":"2212.09597","last_updated":"2023-09-18T10:47:13Z","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey","version":8},"cited_work":{"arxiv_id":"2212.09597","doi":"10.48550/arxiv.2212.09597","metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09597","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reasoning with language model prompting: A survey","venue":"arXiv (Cornell University)","work_id":"d0350429-5760-4385-84ff-056067ef8b24","year":2022},"citing_paper":{"arxiv_id":"2606.06840","last_updated":"2026-06-05T02:32:24Z","snapshot_observed_at":"2026-08-05T15:03:33.373071Z","submitted_at":"2026-06-05T02:32:24Z","title":"Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces","version":1},"reference_index":166,"source":"arxiv_source","source_observed_at":"2026-06-27T22:22:52.690010Z"},"links":{"cited_paper":"/paper/2212.09597","citing_paper":"/paper/2606.06840"},"observation_digest":"sha256:2783be464f36a1599e893d732e8d4e415ae922bd6401fea3a9cbf4c6d5ee5126","observation_id":"e56f18cb-8c2c-4b36-b043-c05c637dbb54","resolution":{"observed_at":"2026-06-27T22:31:21.415107Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2212.09597/citation-record","integrity":"/paper/2212.09597/integrity","json":"/paper/2212.09597/citation-record.json","paper":"/paper/2212.09597"},"outbound":[],"paper":{"arxiv_id":"2212.09597","last_updated":"2023-09-18T10:47:13Z","latest_version":8,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T14:32:29.720436Z","submitted_at":"2022-12-19T16:32:42Z","title":"Reasoning with Language Model Prompting: A Survey"},"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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2212.09597."}