{"as_of":"2026-08-07T17:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:694187b19640b9f9d5723ea94d24074396d79bd9d9200363e6e15e5deb982fd4","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:43:20.820187Z","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":"2026-05-11T00:20:55.295296Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.12089","last_updated":"2024-04-08T14:39:56Z","snapshot_observed_at":"2026-07-06T16:21:49.612867Z","submitted_at":"2023-09-21T13:58:26Z","title":"HiCRISP: An LLM-based Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.12089","snapshot_observed_at":"2026-08-06T20:43:20.820187Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02097","last_updated":"2026-06-28T08:31:01Z","snapshot_observed_at":"2026-08-06T20:35:32.980157Z","submitted_at":"2025-07-02T19:25:44Z","title":"The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:43:20.820187Z"},"links":{"cited_paper":"/paper/2309.12089","citing_paper":"/paper/2507.02097"},"observation_digest":"sha256:5562d8ab3f7822ffa6c21383ec1a903cb7c356aefa0a55ffeb95a911c5ec45c8","observation_id":"4f2b2ad1-b12e-4605-97d4-2f45ba0aa572","resolution":{"observed_at":"2026-08-06T20:43:20.820187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.12089","last_updated":"2024-04-08T14:39:56Z","snapshot_observed_at":"2026-07-06T16:21:49.612867Z","submitted_at":"2023-09-21T13:58:26Z","title":"HiCRISP: An LLM-based Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner","version":2},"cited_work":{"arxiv_id":"2309.12089","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.12089","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hicrisp: An llm-based hierarchical closed-loop robotic intelligent self-correction planner","venue":null,"work_id":"7b0b58a1-c1f3-4d94-8c85-f8b195e387c5","year":2023},"citing_paper":{"arxiv_id":"2604.07395","last_updated":"2026-04-08T08:01:35Z","snapshot_observed_at":"2026-07-06T22:55:37.787732Z","submitted_at":"2026-04-08T08:01:35Z","title":"A Physical Agentic Loop for Language-Guided Grasping with Execution-State Monitoring","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T18:34:06.704114Z"},"links":{"cited_paper":"/paper/2309.12089","citing_paper":"/paper/2604.07395"},"observation_digest":"sha256:be898f6edc5258ecbb7ecfc0a286bddb0d00d34f6e0ac757defa3bc4452b2d29","observation_id":"bbcd36c6-05f0-4745-b381-ead6c5e59864","resolution":{"observed_at":"2026-05-11T00:20:55.300544Z","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/2309.12089/citation-record","integrity":"/paper/2309.12089/integrity","json":"/paper/2309.12089/citation-record.json","paper":"/paper/2309.12089"},"outbound":[],"paper":{"arxiv_id":"2309.12089","last_updated":"2024-04-08T14:39:56Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T16:21:49.612867Z","submitted_at":"2023-09-21T13:58:26Z","title":"HiCRISP: An LLM-based Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner"},"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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.12089."}