{"as_of":"2026-08-09T14:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7aaf429f8e2f9934f9170bdadd6c94c676b2ca0fb74f8598fba02278f7522f0b","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T17:18:40.860933Z","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":"2026-05-22T21:42:10.590289Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.16151","last_updated":"2023-05-25T15:21:09Z","snapshot_observed_at":"2026-07-06T15:33:23.984280Z","submitted_at":"2023-05-25T15:21:09Z","title":"Understanding the Capabilities of Large Language Models for Automated Planning","version":1},"cited_work":{"arxiv_id":"2305.16151","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.16151","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Understanding the capabilities of large language models for automated planning","venue":null,"work_id":"98eaa944-8981-4a77-bdec-54e26de6bcc5","year":2023},"citing_paper":{"arxiv_id":"2304.11477","last_updated":"2023-09-27T07:29:44Z","snapshot_observed_at":"2026-08-01T15:58:01.346044Z","submitted_at":"2023-04-22T20:34:03Z","title":"LLM+P: Empowering Large Language Models with Optimal Planning Proficiency","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-14T18:36:18.342052Z"},"links":{"cited_paper":"/paper/2305.16151","citing_paper":"/paper/2304.11477"},"observation_digest":"sha256:2951ab5b9926b92b2f718496b6359f7267cc423153cebeea014bf89e17dc6eb5","observation_id":"2766615b-6dc0-41c4-8baa-f943d42e4eac","resolution":{"observed_at":"2026-05-14T18:36:18.499617Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16151","last_updated":"2023-05-25T15:21:09Z","snapshot_observed_at":"2026-07-06T15:33:23.984280Z","submitted_at":"2023-05-25T15:21:09Z","title":"Understanding the Capabilities of Large Language Models for Automated Planning","version":1},"cited_work":{"arxiv_id":"2305.16151","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.16151","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Understanding the capabilities of large language models for automated planning","venue":null,"work_id":"98eaa944-8981-4a77-bdec-54e26de6bcc5","year":2023},"citing_paper":{"arxiv_id":"2504.01990","last_updated":"2025-08-02T12:44:02Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-31T18:00:29Z","title":"Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems","version":2},"reference_index":204,"source":"pdf_text","source_observed_at":"2026-05-22T21:39:49.832151Z"},"links":{"cited_paper":"/paper/2305.16151","citing_paper":"/paper/2504.01990"},"observation_digest":"sha256:4e0ba2af5dd52c8bbb7ab38a08b8a0fc0a433a9961127ce919414d4b02286437","observation_id":"e3a243ba-92e5-4125-ae1e-47291ae54617","resolution":{"observed_at":"2026-05-22T21:42:10.593500Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16151","last_updated":"2023-05-25T15:21:09Z","snapshot_observed_at":"2026-07-06T15:33:23.984280Z","submitted_at":"2023-05-25T15:21:09Z","title":"Understanding the Capabilities of Large Language Models for Automated Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16151","snapshot_observed_at":"2026-08-01T17:18:40.860933Z","title":"Understanding the capabilities of large language models for automated planning.arXiv preprint arXiv:2305.16151,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17710","last_updated":"2026-07-20T09:06:15Z","snapshot_observed_at":"2026-08-08T02:21:49.723727Z","submitted_at":"2026-07-20T09:06:15Z","title":"Planning with Transformers: Chain of Computation and Structured Context Windows","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T17:18:40.860933Z"},"links":{"cited_paper":"/paper/2305.16151","citing_paper":"/paper/2607.17710"},"observation_digest":"sha256:77e7b4fd09f6afde22236e373a198c20070e889bc6c726cb0b5da1f0f79a1a23","observation_id":"a6076de6-7838-4fe8-ad31-24a72e64d59e","resolution":{"observed_at":"2026-08-01T17:18:40.860933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16151","last_updated":"2023-05-25T15:21:09Z","snapshot_observed_at":"2026-07-06T15:33:23.984280Z","submitted_at":"2023-05-25T15:21:09Z","title":"Understanding the Capabilities of Large Language Models for Automated Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16151","snapshot_observed_at":"2026-08-01T16:19:09.402294Z","title":"arXiv preprint arXiv:2305.16151 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18060","last_updated":"2026-07-28T09:02:58Z","snapshot_observed_at":"2026-08-09T07:18:24.480798Z","submitted_at":"2026-07-20T15:27:13Z","title":"RoboHarness: Memory-Driven Orchestration of Heterogeneous Robot Policies for Long-Horizon Planning","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-01T16:19:09.402294Z"},"links":{"cited_paper":"/paper/2305.16151","citing_paper":"/paper/2607.18060"},"observation_digest":"sha256:fd4a673788151e730911cecf5f7e27f92aa447120b5422965ebe78da66822baa","observation_id":"2239283a-12c9-4a36-a19e-0853b853a4db","resolution":{"observed_at":"2026-08-01T16:19:09.402294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.16151/citation-record","integrity":"/paper/2305.16151/integrity","json":"/paper/2305.16151/citation-record.json","paper":"/paper/2305.16151"},"outbound":[],"paper":{"arxiv_id":"2305.16151","last_updated":"2023-05-25T15:21:09Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T15:33:23.984280Z","submitted_at":"2023-05-25T15:21:09Z","title":"Understanding the Capabilities of Large Language Models for Automated 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.16151."}