{"as_of":"2026-08-08T21:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e38f917843d007b7bcd24ddc5cb93f2509805229b0b520d0642805cacd337b23","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:50:50.329277Z","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":"2026-05-11T08:01:00.187242Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.13184","last_updated":"2025-05-07T10:00:50Z","snapshot_observed_at":"2026-07-06T19:05:10.127582Z","submitted_at":"2024-08-23T16:02:54Z","title":"Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13184","snapshot_observed_at":"2026-08-07T14:50:50.329277Z","title":"Can llm be a good path planner based on prompt engineering? mitigating the hallucination for path planning.arXiv preprint arXiv:2408.13184, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17482","last_updated":"2025-05-23T05:21:14Z","snapshot_observed_at":"2026-08-07T14:44:14.031871Z","submitted_at":"2025-05-23T05:21:14Z","title":"From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmark","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:50:50.329277Z"},"links":{"cited_paper":"/paper/2408.13184","citing_paper":"/paper/2505.17482"},"observation_digest":"sha256:5850cdbc6016fce237a809e8ae325f316261b18c3451d9d081900fd2e26022aa","observation_id":"2fbcaf7e-6f1a-47e4-9e5f-93592771e97a","resolution":{"observed_at":"2026-08-07T14:50:50.329277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13184","last_updated":"2025-05-07T10:00:50Z","snapshot_observed_at":"2026-07-06T19:05:10.127582Z","submitted_at":"2024-08-23T16:02:54Z","title":"Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13184","snapshot_observed_at":"2026-08-07T14:11:54.769397Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.19683","last_updated":"2025-05-26T08:44:53Z","snapshot_observed_at":"2026-08-08T09:25:43.689145Z","submitted_at":"2025-05-26T08:44:53Z","title":"Large Language Models for Planning: A Comprehensive and Systematic Survey","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:11:54.769397Z"},"links":{"cited_paper":"/paper/2408.13184","citing_paper":"/paper/2505.19683"},"observation_digest":"sha256:5a240665708d8e58dc37400e97776c52e9484091315e5b1e0c77366e91e43e4a","observation_id":"64794f33-26bd-4c18-b185-fe3757aa6a0d","resolution":{"observed_at":"2026-08-07T14:11:54.769397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13184","last_updated":"2025-05-07T10:00:50Z","snapshot_observed_at":"2026-07-06T19:05:10.127582Z","submitted_at":"2024-08-23T16:02:54Z","title":"Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13184","snapshot_observed_at":"2026-08-07T10:18:51.833443Z","title":"Can llm be a good path planner based on prompt engineering? mitigating the hallucination for path planning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02870","last_updated":"2025-06-06T10:50:08Z","snapshot_observed_at":"2026-08-08T01:09:03.836574Z","submitted_at":"2025-06-06T10:50:08Z","title":"Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T10:18:51.833443Z"},"links":{"cited_paper":"/paper/2408.13184","citing_paper":"/paper/2507.02870"},"observation_digest":"sha256:a62c44ae6840c852bc350de5343b51830f470e8ae5f8287e2510bfc52d8fb84a","observation_id":"b2fa4a73-9e0f-49f1-be7e-6682356e9cd5","resolution":{"observed_at":"2026-08-07T10:18:51.833443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13184","last_updated":"2025-05-07T10:00:50Z","snapshot_observed_at":"2026-07-06T19:05:10.127582Z","submitted_at":"2024-08-23T16:02:54Z","title":"Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning","version":3},"cited_work":{"arxiv_id":"2408.13184","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.13184","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2408.13184 , year=","venue":null,"work_id":"435f2c6d-1555-43fb-bd11-a37103adff00","year":null},"citing_paper":{"arxiv_id":"2605.04065","last_updated":"2026-05-07T04:49:30Z","snapshot_observed_at":"2026-07-06T23:16:54.673178Z","submitted_at":"2026-04-11T07:26:04Z","title":"Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs","version":2},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-05-10T16:58:10.013475Z"},"links":{"cited_paper":"/paper/2408.13184","citing_paper":"/paper/2605.04065"},"observation_digest":"sha256:72446d5f3e4878136f5ce00cd60b98e99d0323b1cfac97fa3dc3bcba68395d10","observation_id":"4b4facb9-f839-4609-8606-98b80153accf","resolution":{"observed_at":"2026-05-11T07:45:59.753762Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13184","last_updated":"2025-05-07T10:00:50Z","snapshot_observed_at":"2026-07-06T19:05:10.127582Z","submitted_at":"2024-08-23T16:02:54Z","title":"Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning","version":3},"cited_work":{"arxiv_id":"2408.13184","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.13184","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2408.13184 , year=","venue":null,"work_id":"435f2c6d-1555-43fb-bd11-a37103adff00","year":null},"citing_paper":{"arxiv_id":"2605.04066","last_updated":"2026-05-07T04:57:40Z","snapshot_observed_at":"2026-08-02T15:49:26.057284Z","submitted_at":"2026-04-11T07:34:59Z","title":"Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-05-10T16:51:19.555272Z"},"links":{"cited_paper":"/paper/2408.13184","citing_paper":"/paper/2605.04066"},"observation_digest":"sha256:b36de7807ac854ae66f2c9b7dfefd47a47929621b8504bc796f50911a2528482","observation_id":"cc571f74-fbc8-47aa-a68c-58bf21fa47b3","resolution":{"observed_at":"2026-05-11T08:01:00.191542Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.13184/citation-record","integrity":"/paper/2408.13184/integrity","json":"/paper/2408.13184/citation-record.json","paper":"/paper/2408.13184"},"outbound":[],"paper":{"arxiv_id":"2408.13184","last_updated":"2025-05-07T10:00:50Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:05:10.127582Z","submitted_at":"2024-08-23T16:02:54Z","title":"Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.13184."}