{"as_of":"2026-08-05T08:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cc3f88bfb8c990f25973a9eb8132d6e8420a90339b71cdb786fa246ee3624ec1","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":"2026-08-05T06:32:48.257954+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":"2026-08-05T00:15:35.753816Z","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":"2026-05-10T11:00:04.112396Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.19269","last_updated":"2025-06-25T05:10:04Z","snapshot_observed_at":"2026-08-04T18:26:05.859380Z","submitted_at":"2025-06-24T03:03:26Z","title":"AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation","version":2},"cited_work":{"arxiv_id":"2506.19269","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.19269","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2506.19269 (2025) 3","venue":null,"work_id":"90efd2e0-2a78-41b0-bfff-d19350102a33","year":2025},"citing_paper":{"arxiv_id":"2604.15281","last_updated":"2026-04-16T17:50:37Z","snapshot_observed_at":"2026-08-02T21:20:28.291912Z","submitted_at":"2026-04-16T17:50:37Z","title":"R3D: Revisiting 3D Policy Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T10:57:54.273960Z"},"links":{"cited_paper":"/paper/2506.19269","citing_paper":"/paper/2604.15281"},"observation_digest":"sha256:fab2ab18eaadc293ce93683c59b68f9ae5e77b2df2620d71ec00ff2f8a81dbab","observation_id":"59dc6482-eeaf-428e-a841-962d441c369b","resolution":{"observed_at":"2026-05-10T11:00:04.113858Z","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":"2506.19269","last_updated":"2025-06-25T05:10:04Z","snapshot_observed_at":"2026-08-04T18:26:05.859380Z","submitted_at":"2025-06-24T03:03:26Z","title":"AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.19269","snapshot_observed_at":"2026-08-05T00:15:35.753816Z","title":"Anchordp3: 3d affordance guided sparse diffusion policy for robotic manipulation.arXiv preprint arXiv:2506.19269, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.01603","last_updated":"2026-08-03T02:19:37Z","snapshot_observed_at":"2026-08-05T08:26:45.837657Z","submitted_at":"2026-08-03T02:19:37Z","title":"AffordTrajDP: Dynamic Affordance-Guided Visuomotor Policy Learning for Robotic Manipulation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T00:15:35.753816Z"},"links":{"cited_paper":"/paper/2506.19269","citing_paper":"/paper/2608.01603"},"observation_digest":"sha256:635906e29ef8c2db9452af60f9a3aa62ac933bcc5fd3707e6677cde1ac3bdf70","observation_id":"a7ea78ae-fba3-4e11-8112-8d196f70fcd8","resolution":{"observed_at":"2026-08-05T00:15:35.753816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.19269/citation-record","integrity":"/paper/2506.19269/integrity","json":"/paper/2506.19269/citation-record.json","paper":"/paper/2506.19269"},"outbound":[],"paper":{"arxiv_id":"2506.19269","last_updated":"2025-06-25T05:10:04Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-04T18:26:05.859380Z","submitted_at":"2025-06-24T03:03:26Z","title":"AnchorDP3: 3D Affordance Guided Sparse Diffusion Policy for Robotic Manipulation"},"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 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.19269."}