{"as_of":"2026-08-10T04:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0fe656d0e6d9abdf562c388e7b2bf3c6c14d3ece684bddb1cfb06a693687604d","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T11:21:51.793075Z","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":"2026-07-02T11:36:55.330581Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.10778","last_updated":"2024-07-23T14:56:03Z","snapshot_observed_at":"2026-08-08T07:01:41.800924Z","submitted_at":"2024-02-16T16:00:50Z","title":"AutoGPT+P: Affordance-based Task Planning with Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.10778","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10778","snapshot_observed_at":"2026-07-02T11:36:55.330581Z","title":"Autogpt+ p: Affordance- based task planning with large language models","venue":null,"work_id":"8ecd1ca0-0b07-43ff-be44-fb46e5417b8e","year":2024},"citing_paper":{"arxiv_id":"2404.11584","last_updated":"2024-04-17T17:32:41Z","snapshot_observed_at":"2026-08-04T23:37:27.678120Z","submitted_at":"2024-04-17T17:32:41Z","title":"The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T23:16:41.679855Z"},"links":{"cited_paper":"/paper/2402.10778","citing_paper":"/paper/2404.11584"},"observation_digest":"sha256:e568fd6615c035593e445a8e52ecf43b5e1cb1d29cab47ebe481d8dd91571c68","observation_id":"460c2442-640d-43d6-8a57-713dde63f8ff","resolution":{"observed_at":"2026-05-16T23:16:41.772274Z","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":"2402.10778","last_updated":"2024-07-23T14:56:03Z","snapshot_observed_at":"2026-08-08T07:01:41.800924Z","submitted_at":"2024-02-16T16:00:50Z","title":"AutoGPT+P: Affordance-based Task Planning with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10778","snapshot_observed_at":"2026-08-07T11:21:51.793075Z","title":"Autogpt+ p: Affordance- based task planning with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02739","last_updated":"2025-06-03T10:53:29Z","snapshot_observed_at":"2026-08-09T13:20:41.424260Z","submitted_at":"2025-06-03T10:53:29Z","title":"Why do AI agents communicate in human language?","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T11:21:51.793075Z"},"links":{"cited_paper":"/paper/2402.10778","citing_paper":"/paper/2506.02739"},"observation_digest":"sha256:d1fc4fd45b2524beb81b7aa029a24369af3c61930b830f3c68260ee0656dd237","observation_id":"2c940ec4-4420-4cb8-b892-9c8d7670e52d","resolution":{"observed_at":"2026-08-07T11:21:51.793075Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10778","last_updated":"2024-07-23T14:56:03Z","snapshot_observed_at":"2026-08-08T07:01:41.800924Z","submitted_at":"2024-02-16T16:00:50Z","title":"AutoGPT+P: Affordance-based Task Planning with Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.10778","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10778","snapshot_observed_at":"2026-07-02T11:36:55.330581Z","title":"Autogpt+ p: Affordance- based task planning with large language models","venue":null,"work_id":"8ecd1ca0-0b07-43ff-be44-fb46e5417b8e","year":2024},"citing_paper":{"arxiv_id":"2507.21545","last_updated":"2026-04-20T08:38:38Z","snapshot_observed_at":"2026-07-06T22:04:26.078628Z","submitted_at":"2025-07-29T07:20:49Z","title":"UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-19T03:00:28.619627Z"},"links":{"cited_paper":"/paper/2402.10778","citing_paper":"/paper/2507.21545"},"observation_digest":"sha256:1d4c96e694bf3019557e7b140881f5b36754a3b598a56b765644e15ac63e6846","observation_id":"ab7ca8b1-c70d-4c7d-af0e-e9f98e497d6d","resolution":{"observed_at":"2026-05-19T03:02:00.248532Z","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":"2402.10778","last_updated":"2024-07-23T14:56:03Z","snapshot_observed_at":"2026-08-08T07:01:41.800924Z","submitted_at":"2024-02-16T16:00:50Z","title":"AutoGPT+P: Affordance-based Task Planning with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10778","snapshot_observed_at":"2026-08-03T09:21:33.227393Z","title":"Autogpt+p: Affordance-based task planning with large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.14192","last_updated":"2026-07-03T11:26:58Z","snapshot_observed_at":"2026-08-07T15:05:40.772054Z","submitted_at":"2026-01-20T17:51:56Z","title":"Toward Efficient Agents: Memory, Tool learning, and Planning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:33.227393Z"},"links":{"cited_paper":"/paper/2402.10778","citing_paper":"/paper/2601.14192"},"observation_digest":"sha256:4e7daeadaa656619fe34b077555494f2330e563f02a0b4cb4ab097d3b9759fe0","observation_id":"8eee4735-09cc-466a-ad8e-169ba509e470","resolution":{"observed_at":"2026-08-03T09:21:33.227393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10778","last_updated":"2024-07-23T14:56:03Z","snapshot_observed_at":"2026-08-08T07:01:41.800924Z","submitted_at":"2024-02-16T16:00:50Z","title":"AutoGPT+P: Affordance-based Task Planning with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10778","snapshot_observed_at":"2026-08-04T06:05:29.089495Z","title":"Autogpt+ p: Affordance-based task planning with large language models.arXiv preprint arXiv:2402.10778, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.12244","last_updated":"2026-07-31T18:48:16Z","snapshot_observed_at":"2026-08-09T17:33:21.586391Z","submitted_at":"2026-02-12T18:28:28Z","title":"Any House Any Task: Scalable Long-Horizon Planning for Abstract Human Tasks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T06:05:29.089495Z"},"links":{"cited_paper":"/paper/2402.10778","citing_paper":"/paper/2602.12244"},"observation_digest":"sha256:4c769de5899433a14f325871d552a597082dceaa64e287b94cd5146ff896f85e","observation_id":"b9176c59-9ad0-4426-8490-d7d1eac62ef2","resolution":{"observed_at":"2026-08-04T06:05:29.089495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10778","last_updated":"2024-07-23T14:56:03Z","snapshot_observed_at":"2026-08-08T07:01:41.800924Z","submitted_at":"2024-02-16T16:00:50Z","title":"AutoGPT+P: Affordance-based Task Planning with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10778","snapshot_observed_at":"2026-08-02T22:58:04.369657Z","title":"Autogpt+p: Affordance-based task planning with large language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.15382","last_updated":"2026-05-28T08:46:27Z","snapshot_observed_at":"2026-08-03T23:19:36.572742Z","submitted_at":"2026-02-17T06:31:53Z","title":"The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-02T22:58:04.369657Z"},"links":{"cited_paper":"/paper/2402.10778","citing_paper":"/paper/2602.15382"},"observation_digest":"sha256:74f9d8f7d9c7e10780dae95c724e807aa5485c0508b2ac8316e321167d23bef9","observation_id":"0e0048e5-bea8-411c-b440-63189a8324df","resolution":{"observed_at":"2026-08-02T22:58:04.369657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10778","last_updated":"2024-07-23T14:56:03Z","snapshot_observed_at":"2026-08-08T07:01:41.800924Z","submitted_at":"2024-02-16T16:00:50Z","title":"AutoGPT+P: Affordance-based Task Planning with Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.10778","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.10778","snapshot_observed_at":"2026-07-02T11:36:55.330581Z","title":"Autogpt+ p: Affordance- based task planning with large language models","venue":null,"work_id":"8ecd1ca0-0b07-43ff-be44-fb46e5417b8e","year":2024},"citing_paper":{"arxiv_id":"2606.05533","last_updated":"2026-06-04T00:26:04Z","snapshot_observed_at":"2026-08-02T14:33:23.602130Z","submitted_at":"2026-06-04T00:26:04Z","title":"What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-28T03:15:49.904557Z"},"links":{"cited_paper":"/paper/2402.10778","citing_paper":"/paper/2606.05533"},"observation_digest":"sha256:2f55b2729422bffb9d96e6930d277409cb27ea738d9ecd0b54ec73ba0e77e473","observation_id":"a3f486a2-e5af-4884-b748-f58c99881e8c","resolution":{"observed_at":"2026-07-02T11:36:55.332344Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2402.10778/citation-record","integrity":"/paper/2402.10778/integrity","json":"/paper/2402.10778/citation-record.json","paper":"/paper/2402.10778"},"outbound":[],"paper":{"arxiv_id":"2402.10778","last_updated":"2024-07-23T14:56:03Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-08T07:01:41.800924Z","submitted_at":"2024-02-16T16:00:50Z","title":"AutoGPT+P: Affordance-based Task Planning with Large Language Models"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.10778."}