{"as_of":"2026-08-10T04:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8545099dc6d18d5ca93a5242cb5dcc3d8313c226be4bc61c2effb974f4948ee","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:00:57.988600Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T06:16:51.314847Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.00986","last_updated":"2025-03-02T18:49:48Z","snapshot_observed_at":"2026-08-10T02:49:59.557039Z","submitted_at":"2025-03-02T18:49:48Z","title":"Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00986","snapshot_observed_at":"2026-08-07T06:00:57.988600Z","title":"Modeling fine-grained hand-object dynamics for egocentric video representation learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.06253","last_updated":"2025-06-06T17:25:48Z","snapshot_observed_at":"2026-08-09T07:19:17.693738Z","submitted_at":"2025-06-06T17:25:48Z","title":"Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric Vision","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T06:00:57.988600Z"},"links":{"cited_paper":"/paper/2503.00986","citing_paper":"/paper/2506.06253"},"observation_digest":"sha256:daeb4bca31714ae0c98819f8e961a2133decd13f0e45f4ff3b061c0d601f2866","observation_id":"a16b1666-ec09-4126-8ef0-97f72df90039","resolution":{"observed_at":"2026-08-07T06:00:57.988600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00986","last_updated":"2025-03-02T18:49:48Z","snapshot_observed_at":"2026-08-10T02:49:59.557039Z","submitted_at":"2025-03-02T18:49:48Z","title":"Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning","version":1},"cited_work":{"arxiv_id":"2503.00986","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.00986","snapshot_observed_at":"2026-07-10T06:16:51.314847Z","title":"Modeling fine-grained hand-object dynamics for egocentric video representation learning","venue":"cs.CV","work_id":"25d152fb-974a-4325-9a4d-80ec390cda0e","year":2025},"citing_paper":{"arxiv_id":"2507.23682","last_updated":"2025-09-25T10:26:44Z","snapshot_observed_at":"2026-08-02T00:55:45.018424Z","submitted_at":"2025-07-31T15:57:46Z","title":"villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-15T21:52:02.893886Z"},"links":{"cited_paper":"/paper/2503.00986","citing_paper":"/paper/2507.23682"},"observation_digest":"sha256:8a4a1c062cf2168a961c55ad8089a6102a607bb6b262a68d959ac2207bf39ff0","observation_id":"01d655ce-abe7-40cd-a530-3a090ae77efa","resolution":{"observed_at":"2026-05-15T21:52:03.136815Z","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":"2503.00986","last_updated":"2025-03-02T18:49:48Z","snapshot_observed_at":"2026-08-10T02:49:59.557039Z","submitted_at":"2025-03-02T18:49:48Z","title":"Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning","version":1},"cited_work":{"arxiv_id":"2503.00986","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.00986","snapshot_observed_at":"2026-07-10T06:16:51.314847Z","title":"Modeling fine-grained hand-object dynamics for egocentric video representation learning","venue":"cs.CV","work_id":"25d152fb-974a-4325-9a4d-80ec390cda0e","year":2025},"citing_paper":{"arxiv_id":"2606.02962","last_updated":"2026-06-01T23:46:18Z","snapshot_observed_at":"2026-08-02T17:34:33.446374Z","submitted_at":"2026-06-01T23:46:18Z","title":"Hand Trajectory Fusion for Egocentric Natural Language Query Grounding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T14:35:59.044093Z"},"links":{"cited_paper":"/paper/2503.00986","citing_paper":"/paper/2606.02962"},"observation_digest":"sha256:d8a28a55aa4b1720f725c5ac53611028c8d586883313e33fe2808563342bb401","observation_id":"fcf0529e-1a02-44a9-b8a0-e2f218fddbda","resolution":{"observed_at":"2026-07-01T23:16:23.365896Z","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":"2503.00986","last_updated":"2025-03-02T18:49:48Z","snapshot_observed_at":"2026-08-10T02:49:59.557039Z","submitted_at":"2025-03-02T18:49:48Z","title":"Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning","version":1},"cited_work":{"arxiv_id":"2503.00986","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.00986","snapshot_observed_at":"2026-07-10T06:16:51.314847Z","title":"Modeling fine-grained hand-object dynamics for egocentric video representation learning","venue":"cs.CV","work_id":"25d152fb-974a-4325-9a4d-80ec390cda0e","year":2025},"citing_paper":{"arxiv_id":"2607.08514","last_updated":"2026-07-09T14:09:29Z","snapshot_observed_at":"2026-08-07T11:00:41.421126Z","submitted_at":"2026-07-09T14:09:29Z","title":"Do Egocentric Video-Language Models Capture Both Hand- and Object-Centric Cues?","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-10T06:09:11.411036Z"},"links":{"cited_paper":"/paper/2503.00986","citing_paper":"/paper/2607.08514"},"observation_digest":"sha256:2b64ff530b2794d84b99d0846ed7664a68233cd07774b99cdc466d776703370b","observation_id":"c8cc51bf-d5df-490b-9b94-ff6fd326c2a2","resolution":{"observed_at":"2026-07-10T06:16:51.316359Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2503.00986/citation-record","integrity":"/paper/2503.00986/integrity","json":"/paper/2503.00986/citation-record.json","paper":"/paper/2503.00986"},"outbound":[],"paper":{"arxiv_id":"2503.00986","last_updated":"2025-03-02T18:49:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T02:49:59.557039Z","submitted_at":"2025-03-02T18:49:48Z","title":"Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation 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":"2026-08-09T06:31:02.800959+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 4 inbound Pith citation observations for arXiv:2503.00986."}