{"as_of":"2026-08-08T04:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5171ce3f94ca28aa97ced060b83507ce8912f868710fc007c55efcbddeddf1a4","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:51:45.163191Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T06:56:44.805875Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-08-07T04:51:45.163191Z","title":"Empowering llms with logical reasoning: A comprehensive survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.21557","last_updated":"2025-06-11T09:08:43Z","snapshot_observed_at":"2026-08-07T04:44:01.625128Z","submitted_at":"2025-06-11T09:08:43Z","title":"Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:51:45.163191Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2506.21557"},"observation_digest":"sha256:d120ba73c6892746fc14fbf5de27ff96122e98f489adf06d3bd02d0fdd2f23e3","observation_id":"927f5946-6d14-4712-ac0f-a06b00034b2a","resolution":{"observed_at":"2026-08-07T04:51:45.163191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-08-06T20:39:13.583068Z","title":"Empowering llms with logical reasoning: A comprehensive survey.arXiv preprint arXiv:2502.15652,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02256","last_updated":"2025-07-03T03:09:17Z","snapshot_observed_at":"2026-08-06T20:31:32.680778Z","submitted_at":"2025-07-03T03:09:17Z","title":"Uncertainty-aware Reward Design Process","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T20:39:13.583068Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2507.02256"},"observation_digest":"sha256:15c9bb09f47b7d3e6ecbc9fad3dc420dadb5dd1ea979b432744f057ce010499f","observation_id":"e1752300-b526-4ae2-bda8-21ce563c48ec","resolution":{"observed_at":"2026-08-06T20:39:13.583068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-08-06T19:21:13.381173Z","title":"Em- powering llms with logical reasoning: A comprehensive survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.08021","last_updated":"2025-07-08T08:07:57Z","snapshot_observed_at":"2026-08-08T00:22:38.503906Z","submitted_at":"2025-07-08T08:07:57Z","title":"Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:21:13.381173Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2507.08021"},"observation_digest":"sha256:90d98b0bcbb7b3802120845648e5019b4cdcc8aab6f72cd0354dde3f0bbd6934","observation_id":"147d2048-0b19-494c-bae0-52f5d96179f3","resolution":{"observed_at":"2026-08-06T19:21:13.381173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-08-06T00:48:07.494873Z","title":"Empowering llms with logical rea- soning: A comprehensive survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04289","last_updated":"2025-08-07T04:14:31Z","snapshot_observed_at":"2026-08-07T11:52:32.763828Z","submitted_at":"2025-08-06T10:26:52Z","title":"Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T00:48:07.494873Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2508.04289"},"observation_digest":"sha256:0b8b9c1ec59abfc16c1c6a5188d6fac6b075ab9f0da6b9623a6c4534578312c3","observation_id":"fadf5366-2d57-4ea1-9fd3-1971677caa26","resolution":{"observed_at":"2026-08-06T00:48:07.494873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-08-05T04:42:05.386445Z","title":"Empower- ing llms with logical reasoning: A comprehensive survey.arXiv preprint arXiv:2502.15652, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.06024","last_updated":"2025-09-07T11:52:18Z","snapshot_observed_at":"2026-08-06T03:19:32.912528Z","submitted_at":"2025-09-07T11:52:18Z","title":"Rethinking Reasoning Quality in Large Language Models through Enhanced Chain-of-Thought via RL","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T04:42:05.386445Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2509.06024"},"observation_digest":"sha256:a6faa23a45442154a757606ef1444d0e6cdabd3d5d9744fcc7241e659aa74584","observation_id":"7e793c40-6723-4edc-a07b-443d5e24281c","resolution":{"observed_at":"2026-08-05T04:42:05.386445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-08-04T07:59:20.985663Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.23379","last_updated":"2026-05-30T06:33:05Z","snapshot_observed_at":"2026-08-07T14:32:31.636565Z","submitted_at":"2025-10-27T14:29:22Z","title":"Symbolic Neural Generation with Applications to Lead Discovery in Drug Design","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-04T07:59:20.985663Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2510.23379"},"observation_digest":"sha256:de6a1d09eccfe4465f605e072c06fcf95aa05e7291c4a241746d6739eb1caaad","observation_id":"a16c3c05-c979-4c63-9528-e88ef03ab6b0","resolution":{"observed_at":"2026-08-04T07:59:20.985663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":"2502.15652","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-07-02T06:56:44.805875Z","title":"Empowering llms with logical reasoning: A comprehensive survey","venue":null,"work_id":"7561e298-baeb-4d0d-8c39-d806c014abb3","year":2025},"citing_paper":{"arxiv_id":"2603.11689","last_updated":"2026-07-01T08:11:59Z","snapshot_observed_at":"2026-07-14T22:43:17.174240Z","submitted_at":"2026-03-12T08:56:14Z","title":"Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-21T11:09:51.816554Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2603.11689"},"observation_digest":"sha256:9de852ef447993052bea549e6f4be455aafa6bb0f312fbffc53cd035557a3bdd","observation_id":"d8ecfc7c-1399-4195-a452-f57dda8a4bd4","resolution":{"observed_at":"2026-05-21T11:10:01.992209Z","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":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":"2502.15652","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-07-02T06:56:44.805875Z","title":"Empowering llms with logical reasoning: A comprehensive survey","venue":null,"work_id":"7561e298-baeb-4d0d-8c39-d806c014abb3","year":2025},"citing_paper":{"arxiv_id":"2605.00043","last_updated":"2026-04-29T06:18:07Z","snapshot_observed_at":"2026-08-02T13:23:22.858169Z","submitted_at":"2026-04-29T06:18:07Z","title":"SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-09T21:07:01.601808Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2605.00043"},"observation_digest":"sha256:182bdefd3c9f64a121cde04f8f459a8aa41a26aaa954b76fdca1272461e5cbf9","observation_id":"053b96ac-dfa8-4eb7-bc71-522602740b59","resolution":{"observed_at":"2026-05-11T14:46:25.040382Z","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":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":"2502.15652","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-07-02T06:56:44.805875Z","title":"Empowering llms with logical reasoning: A comprehensive survey","venue":null,"work_id":"7561e298-baeb-4d0d-8c39-d806c014abb3","year":2025},"citing_paper":{"arxiv_id":"2605.17914","last_updated":"2026-05-18T06:23:03Z","snapshot_observed_at":"2026-08-03T19:38:20.439634Z","submitted_at":"2026-05-18T06:23:03Z","title":"Guiding LLM-based Loop Invariant Synthesis via Feedback on Local Reasoning Errors","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-20T00:54:59.425270Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2605.17914"},"observation_digest":"sha256:6dce8402d179bb650219120a81561310c8047ded3b8c5f1f0c0c9161345dbf0e","observation_id":"56279dd6-323c-4c2c-a6c4-9f85299b4fb5","resolution":{"observed_at":"2026-05-20T00:57:54.261001Z","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":"2502.15652","last_updated":"2025-07-21T01:15:52Z","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":"2502.15652","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.15652","snapshot_observed_at":"2026-07-02T06:56:44.805875Z","title":"Empowering llms with logical reasoning: A comprehensive survey","venue":null,"work_id":"7561e298-baeb-4d0d-8c39-d806c014abb3","year":2025},"citing_paper":{"arxiv_id":"2606.06525","last_updated":"2026-06-11T13:52:20Z","snapshot_observed_at":"2026-08-06T10:53:12.498106Z","submitted_at":"2026-06-02T20:34:11Z","title":"Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-28T07:14:35.191915Z"},"links":{"cited_paper":"/paper/2502.15652","citing_paper":"/paper/2606.06525"},"observation_digest":"sha256:db38b407f999b17e9262919fb369d6fdfba8d0d6b3e5b5398e27c418f3fdef17","observation_id":"0fa7c2b3-f68f-45df-bfcd-79be9c0b3b9a","resolution":{"observed_at":"2026-07-02T06:56:44.807281Z","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/2502.15652/citation-record","integrity":"/paper/2502.15652/integrity","json":"/paper/2502.15652/citation-record.json","paper":"/paper/2502.15652"},"outbound":[],"paper":{"arxiv_id":"2502.15652","last_updated":"2025-07-21T01:15:52Z","latest_version":4,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T17:57:49.605271Z","submitted_at":"2025-02-21T18:20:35Z","title":"Empowering LLMs with Logical Reasoning: A Comprehensive 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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2502.15652."}