{"as_of":"2026-08-06T01:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36e794a9c0570d89c2a783c5d7524dfc67d4b3c66101f242bf35ec1df323e47c","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T09:33:38.485506Z","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":"2026-05-15T11:55:33.536071Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.23127","last_updated":"2025-06-29T07:31:24Z","snapshot_observed_at":"2026-08-02T18:32:03.585631Z","submitted_at":"2025-06-29T07:31:24Z","title":"Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.23127","snapshot_observed_at":"2026-08-04T09:33:38.485506Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.14828","last_updated":"2026-06-09T15:51:56Z","snapshot_observed_at":"2026-08-05T04:35:32.361585Z","submitted_at":"2025-10-16T16:04:35Z","title":"RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T09:33:38.485506Z"},"links":{"cited_paper":"/paper/2506.23127","citing_paper":"/paper/2510.14828"},"observation_digest":"sha256:65d4fd19e73c81cf6b348011574fe0afe1995df59c0bef9bf9a15e16487822da","observation_id":"6f8873d8-e2c1-4d93-b663-d1c42fe201b3","resolution":{"observed_at":"2026-08-04T09:33:38.485506Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23127","last_updated":"2025-06-29T07:31:24Z","snapshot_observed_at":"2026-08-02T18:32:03.585631Z","submitted_at":"2025-06-29T07:31:24Z","title":"Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2506.23127","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23127","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2506.23127 (2025)","venue":null,"work_id":"bf91b32b-e004-49b0-a06a-17823dade7a4","year":2025},"citing_paper":{"arxiv_id":"2604.07774","last_updated":"2026-04-09T04:01:27Z","snapshot_observed_at":"2026-07-06T22:57:00.904627Z","submitted_at":"2026-04-09T04:01:27Z","title":"RoboAgent: Chaining Basic Capabilities for Embodied Task Planning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T18:15:08.727921Z"},"links":{"cited_paper":"/paper/2506.23127","citing_paper":"/paper/2604.07774"},"observation_digest":"sha256:d837b12cc33400761a88c8617fd820cf5696d8977c5e77b210a137cc37826f20","observation_id":"d509ff7e-1e52-432c-8d78-a450afbf3bec","resolution":{"observed_at":"2026-05-11T05:15:57.429654Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.23127","last_updated":"2025-06-29T07:31:24Z","snapshot_observed_at":"2026-08-02T18:32:03.585631Z","submitted_at":"2025-06-29T07:31:24Z","title":"Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2506.23127","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.23127","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2506.23127 (2025)","venue":null,"work_id":"bf91b32b-e004-49b0-a06a-17823dade7a4","year":2025},"citing_paper":{"arxiv_id":"2604.16331","last_updated":"2026-03-12T17:54:42Z","snapshot_observed_at":"2026-07-06T23:03:39.351412Z","submitted_at":"2026-03-12T17:54:42Z","title":"BrainMem: Brain-Inspired Evolving Memory for Embodied Agent Task Planning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-15T11:52:58.630590Z"},"links":{"cited_paper":"/paper/2506.23127","citing_paper":"/paper/2604.16331"},"observation_digest":"sha256:12f1cf95379e79b26080d0eeb454cab62a7ac26f70c638e77eedd16393ee8df1","observation_id":"6ce41588-75c6-48de-8f13-a86b0b9fbce5","resolution":{"observed_at":"2026-05-15T11:55:33.538357Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.23127/citation-record","integrity":"/paper/2506.23127/integrity","json":"/paper/2506.23127/citation-record.json","paper":"/paper/2506.23127"},"outbound":[],"paper":{"arxiv_id":"2506.23127","last_updated":"2025-06-29T07:31:24Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-02T18:32:03.585631Z","submitted_at":"2025-06-29T07:31:24Z","title":"Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2506.23127."}