{"as_of":"2026-08-08T02:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a9803cbfca463ef0ab250a88aea15e53fc45c9242e671755df5e6e768c89deb0","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:36.546050Z","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":"2026-07-04T06:59:38.174347Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.07696","last_updated":"2023-07-15T03:29:59Z","snapshot_observed_at":"2026-07-06T15:54:17.094199Z","submitted_at":"2023-07-15T03:29:59Z","title":"Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text","version":1},"cited_work":{"arxiv_id":"2307.07696","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.07696","snapshot_observed_at":"2026-07-04T06:59:38.174347Z","title":"Coupling large language models with logic program- ming for robust and general reasoning from text","venue":null,"work_id":"e60b49ce-b7e8-430e-94ee-92a7d0e05433","year":2023},"citing_paper":{"arxiv_id":"2402.02716","last_updated":"2024-02-05T04:25:24Z","snapshot_observed_at":"2026-07-06T17:25:14.115360Z","submitted_at":"2024-02-05T04:25:24Z","title":"Understanding the planning of LLM agents: A survey","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-13T18:12:57.568144Z"},"links":{"cited_paper":"/paper/2307.07696","citing_paper":"/paper/2402.02716"},"observation_digest":"sha256:6c5ee86df8e76539236d9ce184cc2a50f88bd0585c437b7bacde8c5f3d2c56ae","observation_id":"03222c07-7d64-4896-9487-ce40a63789ae","resolution":{"observed_at":"2026-05-13T18:12:57.633208Z","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":"2307.07696","last_updated":"2023-07-15T03:29:59Z","snapshot_observed_at":"2026-07-06T15:54:17.094199Z","submitted_at":"2023-07-15T03:29:59Z","title":"Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07696","snapshot_observed_at":"2026-08-07T15:42:36.546050Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.14141","last_updated":"2025-05-20T09:45:55Z","snapshot_observed_at":"2026-08-07T19:03:12.242898Z","submitted_at":"2025-05-20T09:45:55Z","title":"Building a Stable Planner: An Extended Finite State Machine Based Planning Module for Mobile GUI Agent","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T15:42:36.546050Z"},"links":{"cited_paper":"/paper/2307.07696","citing_paper":"/paper/2505.14141"},"observation_digest":"sha256:701e46c534996d4dfe440538f1030f037d8d460481e6f911214ec9df92dfa928","observation_id":"93b819ae-a131-401d-8f02-8eff60aba3af","resolution":{"observed_at":"2026-08-07T15:42:36.546050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07696","last_updated":"2023-07-15T03:29:59Z","snapshot_observed_at":"2026-07-06T15:54:17.094199Z","submitted_at":"2023-07-15T03:29:59Z","title":"Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07696","snapshot_observed_at":"2026-08-06T20:39:06.851887Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02170","last_updated":"2025-07-02T21:53:44Z","snapshot_observed_at":"2026-08-06T20:33:36.020136Z","submitted_at":"2025-07-02T21:53:44Z","title":"Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T20:39:06.851887Z"},"links":{"cited_paper":"/paper/2307.07696","citing_paper":"/paper/2507.02170"},"observation_digest":"sha256:5de07c439efcb222d1006ca680f26845a9f3b54df821aa0b7c260d08b2bfe91e","observation_id":"df7f7fb6-2e69-4849-97e6-592633a9b22d","resolution":{"observed_at":"2026-08-06T20:39:06.851887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07696","last_updated":"2023-07-15T03:29:59Z","snapshot_observed_at":"2026-07-06T15:54:17.094199Z","submitted_at":"2023-07-15T03:29:59Z","title":"Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07696","snapshot_observed_at":"2026-08-06T04:33:37.228612Z","title":"Coupling large language models with logic programming for robust and general reasoning from text","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.03366","last_updated":"2025-08-05T12:14:32Z","snapshot_observed_at":"2026-08-06T04:33:30.342321Z","submitted_at":"2025-08-05T12:14:32Z","title":"A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T04:33:37.228612Z"},"links":{"cited_paper":"/paper/2307.07696","citing_paper":"/paper/2508.03366"},"observation_digest":"sha256:a685c4b76d27e5f851bd730a1ee9fefe9607c5a6ba6f3a9a1994465f404322bd","observation_id":"5422c0d3-2f0c-415e-bd88-9fda56bbb51e","resolution":{"observed_at":"2026-08-06T04:33:37.228612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07696","last_updated":"2023-07-15T03:29:59Z","snapshot_observed_at":"2026-07-06T15:54:17.094199Z","submitted_at":"2023-07-15T03:29:59Z","title":"Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07696","snapshot_observed_at":"2026-08-05T12:56:33.063316Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.01129","last_updated":"2025-09-01T04:47:51Z","snapshot_observed_at":"2026-08-05T12:56:31.382024Z","submitted_at":"2025-09-01T04:47:51Z","title":"Beyond the Surface: A Solution-Aware Retrieval Model for Competition-level Code Generation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T12:56:33.063316Z"},"links":{"cited_paper":"/paper/2307.07696","citing_paper":"/paper/2509.01129"},"observation_digest":"sha256:ed948358785f6b5404e74ae317d26c255d9f700dd07d6b5665c3fd8e2beed01c","observation_id":"de16d5cd-2ab5-4834-84ff-b58830444bac","resolution":{"observed_at":"2026-08-05T12:56:33.063316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07696","last_updated":"2023-07-15T03:29:59Z","snapshot_observed_at":"2026-07-06T15:54:17.094199Z","submitted_at":"2023-07-15T03:29:59Z","title":"Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text","version":1},"cited_work":{"arxiv_id":"2307.07696","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.07696","snapshot_observed_at":"2026-07-04T06:59:38.174347Z","title":"Coupling large language models with logic program- ming for robust and general reasoning from text","venue":null,"work_id":"e60b49ce-b7e8-430e-94ee-92a7d0e05433","year":2023},"citing_paper":{"arxiv_id":"2604.09712","last_updated":"2026-04-08T06:28:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-08T06:28:03Z","title":"LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T19:26:23.660206Z"},"links":{"cited_paper":"/paper/2307.07696","citing_paper":"/paper/2604.09712"},"observation_digest":"sha256:3a94ebd330b6d7b2e3dbdaf8b480d09561c034562f21931fd37f5c65afac4998","observation_id":"5f566de1-13ab-4ea3-8f71-71c4e1d372a8","resolution":{"observed_at":"2026-05-10T23:00:47.708841Z","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":"2307.07696","last_updated":"2023-07-15T03:29:59Z","snapshot_observed_at":"2026-07-06T15:54:17.094199Z","submitted_at":"2023-07-15T03:29:59Z","title":"Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text","version":1},"cited_work":{"arxiv_id":"2307.07696","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.07696","snapshot_observed_at":"2026-07-04T06:59:38.174347Z","title":"Coupling large language models with logic program- ming for robust and general reasoning from text","venue":null,"work_id":"e60b49ce-b7e8-430e-94ee-92a7d0e05433","year":2023},"citing_paper":{"arxiv_id":"2606.21740","last_updated":"2026-06-19T20:53:10Z","snapshot_observed_at":"2026-08-01T23:24:43.869329Z","submitted_at":"2026-06-19T20:53:10Z","title":"Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-26T13:56:51.914966Z"},"links":{"cited_paper":"/paper/2307.07696","citing_paper":"/paper/2606.21740"},"observation_digest":"sha256:d349f5c30978d0321e807a5dc8a916644e4c6897f6cf037d60fb0b9496d21f8f","observation_id":"823b7bbd-02ac-4366-b97a-a9794ff5a034","resolution":{"observed_at":"2026-07-04T06:59:38.175626Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2307.07696/citation-record","integrity":"/paper/2307.07696/integrity","json":"/paper/2307.07696/citation-record.json","paper":"/paper/2307.07696"},"outbound":[],"paper":{"arxiv_id":"2307.07696","last_updated":"2023-07-15T03:29:59Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T15:54:17.094199Z","submitted_at":"2023-07-15T03:29:59Z","title":"Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text"},"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 7 inbound Pith citation observations for arXiv:2307.07696."}