{"as_of":"2026-08-10T04:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94d2648234610289eba2be1bd36c12f9f81d713951f47a8bb7eecd5166547c23","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T05:06:17.614927Z","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":"2026-05-25T07:50:29.222792Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.18369","last_updated":"2025-06-22T01:43:26Z","snapshot_observed_at":"2026-07-06T19:58:00.412286Z","submitted_at":"2024-11-27T14:17:43Z","title":"G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18369","snapshot_observed_at":"2026-08-08T05:06:17.614927Z","title":"G3flow: Generative 3d semantic flow for pose-aware and generalizable object manipulation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08449","last_updated":"2025-04-27T04:25:34Z","snapshot_observed_at":"2026-08-09T00:15:27.768145Z","submitted_at":"2025-02-12T14:41:14Z","title":"CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T05:06:17.614927Z"},"links":{"cited_paper":"/paper/2411.18369","citing_paper":"/paper/2502.08449"},"observation_digest":"sha256:458d477f23edca4cbf6e190b75ef6e885764b2fad90afb14a67297b919039abc","observation_id":"36cacf45-a10e-4e55-89bd-3ee02f4a94c8","resolution":{"observed_at":"2026-08-08T05:06:17.614927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18369","last_updated":"2025-06-22T01:43:26Z","snapshot_observed_at":"2026-07-06T19:58:00.412286Z","submitted_at":"2024-11-27T14:17:43Z","title":"G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation","version":3},"cited_work":{"arxiv_id":"2411.18369","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.18369","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"G3flow: Generative 3d semantic flow for pose-aware and generalizable object manipulation","venue":null,"work_id":"981e547e-767a-4e04-a433-5353de310b5e","year":2024},"citing_paper":{"arxiv_id":"2506.14135","last_updated":"2026-05-22T16:05:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-17T02:55:20Z","title":"GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T07:48:33.832017Z"},"links":{"cited_paper":"/paper/2411.18369","citing_paper":"/paper/2506.14135"},"observation_digest":"sha256:3f7cba2294e5c5a0f2a9832f3071c0c8c548233e952bd5dc4f708d69b4857c62","observation_id":"33aea71c-64aa-4db1-ad94-ac655c8b91a9","resolution":{"observed_at":"2026-05-25T07:50:29.225847Z","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":"2411.18369","last_updated":"2025-06-22T01:43:26Z","snapshot_observed_at":"2026-07-06T19:58:00.412286Z","submitted_at":"2024-11-27T14:17:43Z","title":"G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18369","snapshot_observed_at":"2026-08-06T23:51:05.241297Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16211","last_updated":"2025-06-19T10:59:53Z","snapshot_observed_at":"2026-08-09T16:15:57.996509Z","submitted_at":"2025-06-19T10:59:53Z","title":"ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:51:05.241297Z"},"links":{"cited_paper":"/paper/2411.18369","citing_paper":"/paper/2506.16211"},"observation_digest":"sha256:8b5120e92764be11489cc16f8cee009a33319fbb7b0a149903ee40e312151558","observation_id":"6709822b-3d59-42e6-a973-a5af90811532","resolution":{"observed_at":"2026-08-06T23:51:05.241297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.18369/citation-record","integrity":"/paper/2411.18369/integrity","json":"/paper/2411.18369/citation-record.json","paper":"/paper/2411.18369"},"outbound":[],"paper":{"arxiv_id":"2411.18369","last_updated":"2025-06-22T01:43:26Z","latest_version":3,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T19:58:00.412286Z","submitted_at":"2024-11-27T14:17:43Z","title":"G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object 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":"2026-08-09T06:31:02.800959+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 3 inbound Pith citation observations for arXiv:2411.18369."}