{"as_of":"2026-08-08T12:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a4248f109100122115591e0a4053760b603e6ef46918afe965d069e32b890691","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:03:50.803316Z","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":"2026-07-03T17:28:44.225999Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2005.00343","last_updated":"2020-04-29T21:57:04Z","snapshot_observed_at":"2026-08-03T14:04:48.142363Z","submitted_at":"2020-04-29T21:57:04Z","title":"The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00343","snapshot_observed_at":"2026-08-07T13:03:50.803316Z","title":"The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.22858","last_updated":"2025-05-28T20:44:14Z","snapshot_observed_at":"2026-08-07T12:56:37.696262Z","submitted_at":"2025-05-28T20:44:14Z","title":"A Probabilistic Jump-Diffusion Framework for Open-World Egocentric Activity Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:03:50.803316Z"},"links":{"cited_paper":"/paper/2005.00343","citing_paper":"/paper/2505.22858"},"observation_digest":"sha256:2680217a7f23ea65f6a05406e8a894e2f2870a843569e07b2c909ce1dcf1f7ba","observation_id":"1ed4a753-e8ca-44ee-8399-d55c10b3b524","resolution":{"observed_at":"2026-08-07T13:03:50.803316Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00343","last_updated":"2020-04-29T21:57:04Z","snapshot_observed_at":"2026-08-03T14:04:48.142363Z","submitted_at":"2020-04-29T21:57:04Z","title":"The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines","version":1},"cited_work":{"arxiv_id":"2005.00343","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2005.00343","snapshot_observed_at":"2026-07-03T17:28:44.225999Z","title":"The epic-kitchens dataset: Collection, challenges and baselines","venue":null,"work_id":"b27b7111-3d61-4953-ba66-4ad0a9243a72","year":2005},"citing_paper":{"arxiv_id":"2604.07331","last_updated":"2026-04-08T17:48:46Z","snapshot_observed_at":"2026-08-02T17:56:32.646915Z","submitted_at":"2026-04-08T17:48:46Z","title":"RoSHI: A Versatile Robot-oriented Suit for Human Data In-the-Wild","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T17:46:22.927795Z"},"links":{"cited_paper":"/paper/2005.00343","citing_paper":"/paper/2604.07331"},"observation_digest":"sha256:e4dffbb4b001e02b55d57d59ef796a8e12a26395ae09ce309a5e2dc6ce6c01d5","observation_id":"70217ecd-db89-474d-95df-eaba66fa58c2","resolution":{"observed_at":"2026-05-11T06:11:00.574419Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00343","last_updated":"2020-04-29T21:57:04Z","snapshot_observed_at":"2026-08-03T14:04:48.142363Z","submitted_at":"2020-04-29T21:57:04Z","title":"The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines","version":1},"cited_work":{"arxiv_id":"2005.00343","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2005.00343","snapshot_observed_at":"2026-07-03T17:28:44.225999Z","title":"The epic-kitchens dataset: Collection, challenges and baselines","venue":null,"work_id":"b27b7111-3d61-4953-ba66-4ad0a9243a72","year":2005},"citing_paper":{"arxiv_id":"2604.14944","last_updated":"2026-06-19T11:34:50Z","snapshot_observed_at":"2026-07-12T19:56:30.664166Z","submitted_at":"2026-04-16T12:38:14Z","title":"HRDexDB: A Paired Human-Robot Dataset for Cross-Embodiment Dexterous Grasping","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T10:48:27.803794Z"},"links":{"cited_paper":"/paper/2005.00343","citing_paper":"/paper/2604.14944"},"observation_digest":"sha256:d59cb146738ad225ad1196d1ee5293918afa9d278f252b25ce71049de682af67","observation_id":"fe131693-50cb-4859-a7fa-756ece9f1ca7","resolution":{"observed_at":"2026-05-10T10:49:56.046856Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00343","last_updated":"2020-04-29T21:57:04Z","snapshot_observed_at":"2026-08-03T14:04:48.142363Z","submitted_at":"2020-04-29T21:57:04Z","title":"The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines","version":1},"cited_work":{"arxiv_id":"2005.00343","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2005.00343","snapshot_observed_at":"2026-07-03T17:28:44.225999Z","title":"The epic-kitchens dataset: Collection, challenges and baselines","venue":null,"work_id":"b27b7111-3d61-4953-ba66-4ad0a9243a72","year":2005},"citing_paper":{"arxiv_id":"2606.02992","last_updated":"2026-06-02T00:59:39Z","snapshot_observed_at":"2026-08-06T19:36:50.731451Z","submitted_at":"2026-06-02T00:59:39Z","title":"Slipstream: Locality-Aware Graph Index Construction for Streaming Approximate Nearest Neighbor Search","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T08:44:13.310548Z"},"links":{"cited_paper":"/paper/2005.00343","citing_paper":"/paper/2606.02992"},"observation_digest":"sha256:7cae8fdb105c5e410bcf5a90fdba30c36ce0913aa14804d97aa65c5605d27105","observation_id":"c1e00dc9-f237-4708-95dd-578b5df73654","resolution":{"observed_at":"2026-07-02T04:56:38.895321Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00343","last_updated":"2020-04-29T21:57:04Z","snapshot_observed_at":"2026-08-03T14:04:48.142363Z","submitted_at":"2020-04-29T21:57:04Z","title":"The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines","version":1},"cited_work":{"arxiv_id":"2005.00343","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2005.00343","snapshot_observed_at":"2026-07-03T17:28:44.225999Z","title":"The epic-kitchens dataset: Collection, challenges and baselines","venue":null,"work_id":"b27b7111-3d61-4953-ba66-4ad0a9243a72","year":2005},"citing_paper":{"arxiv_id":"2606.08615","last_updated":"2026-06-07T13:00:19Z","snapshot_observed_at":"2026-08-05T22:03:12.300616Z","submitted_at":"2026-06-07T13:00:19Z","title":"Harnessing Streaming Video in the Wild","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T18:47:55.910417Z"},"links":{"cited_paper":"/paper/2005.00343","citing_paper":"/paper/2606.08615"},"observation_digest":"sha256:35cb0b25431855191078c89cf129f792f01de01d39635f9dbf1e95739217f724","observation_id":"49c8c616-ab29-45e2-83b2-b5fde80909f4","resolution":{"observed_at":"2026-07-02T22:37:25.655530Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00343","last_updated":"2020-04-29T21:57:04Z","snapshot_observed_at":"2026-08-03T14:04:48.142363Z","submitted_at":"2020-04-29T21:57:04Z","title":"The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines","version":1},"cited_work":{"arxiv_id":"2005.00343","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2005.00343","snapshot_observed_at":"2026-07-03T17:28:44.225999Z","title":"The epic-kitchens dataset: Collection, challenges and baselines","venue":null,"work_id":"b27b7111-3d61-4953-ba66-4ad0a9243a72","year":2005},"citing_paper":{"arxiv_id":"2606.15632","last_updated":"2026-06-17T08:07:31Z","snapshot_observed_at":"2026-08-03T20:25:59.741401Z","submitted_at":"2026-06-14T06:48:15Z","title":"Open-World Video Segmentation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T04:12:16.298588Z"},"links":{"cited_paper":"/paper/2005.00343","citing_paper":"/paper/2606.15632"},"observation_digest":"sha256:16f474fa72b7d26239552e84b0fbf3f0887c122cb0eba345b87cad99e412564a","observation_id":"344eebab-0fe9-46ea-b192-a9b210dfc49d","resolution":{"observed_at":"2026-07-03T17:28:44.227488Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2005.00343/citation-record","integrity":"/paper/2005.00343/integrity","json":"/paper/2005.00343/citation-record.json","paper":"/paper/2005.00343"},"outbound":[],"paper":{"arxiv_id":"2005.00343","last_updated":"2020-04-29T21:57:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T14:04:48.142363Z","submitted_at":"2020-04-29T21:57:04Z","title":"The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2005.00343."}