{"as_of":"2026-08-08T14:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ba03c338d70251cb64f9bd4a50bad83241e141311cd86d7c3bf98ca4ce569329","coverage":[{"denominator":10,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:19.765586Z","state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.24411/citation-record","integrity":"/paper/2505.24411/integrity","json":"/paper/2505.24411/citation-record.json","paper":"/paper/2505.24411"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:18.932583Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:18.932583Z"},"links":{"citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:c17aef436b6e14839b6ccdd0a82532faa9d56fd6a7dc4a33028355a222171032","observation_id":"2e0134e3-5128-4dbd-8cf8-26c19494ddbb","resolution":{"observed_at":"2026-08-07T12:35:18.932583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12219","last_updated":"2024-06-18T02:41:32Z","snapshot_observed_at":"2026-07-06T18:32:40.207270Z","submitted_at":"2024-06-18T02:41:32Z","title":"PCIE_EgoHandPose Solution for EgoExo4D Hand Pose Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12219","snapshot_observed_at":"2026-08-07T12:35:19.045493Z","title":"Pcie\\_egohandpose solution for egoexo4d hand pose challenge","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.045493Z"},"links":{"cited_paper":"/paper/2406.12219","citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:9e0a02af80e2f5765390d22227d49564fd817094266a89697a2eaf4522898d69","observation_id":"28d871fe-3099-481f-a021-bfc428e681e0","resolution":{"observed_at":"2026-08-07T12:35:19.045493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:19.124581Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.124581Z"},"links":{"citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:b2e1c56e50aab64e50a4e8699aa7871d41a4771187ec3bdd3b264cf44985437d","observation_id":"e4b9cc55-9d68-4306-862b-49abd5c47207","resolution":{"observed_at":"2026-08-07T12:35:19.124581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.18259","last_updated":"2024-09-25T21:55:38Z","snapshot_observed_at":"2026-08-05T13:44:08.331144Z","submitted_at":"2023-11-30T05:21:07Z","title":"Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.18259","snapshot_observed_at":"2026-08-07T12:35:19.190727Z","title":"Ego-exo4d: Understanding skilled human activity from first- and third-person perspectives","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.190727Z"},"links":{"cited_paper":"/paper/2311.18259","citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:a76b2f36525bc51f58204087e649ac70c0c83ecd2ba64a3ff6b49dd9d5436c53","observation_id":"ebe89ad6-f2c4-4941-a99a-c8189d874787","resolution":{"observed_at":"2026-08-07T12:35:19.190727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:20.557242Z","title":"Slowfast networks for video recognition","venue":null,"work_id":"0b8d1ffa-c865-4ff0-b8b4-ed2021478f57","year":2019},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.307623Z"},"links":{"citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:a0a8c61238319df537fc0b2855331151f4f62e0eb715c32f27569a67c7acb89d","observation_id":"f0c0aa77-8d7a-4e2a-a267-b14a142444e1","resolution":{"observed_at":"2026-08-07T12:35:20.648302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:20.381864Z","title":null,"venue":null,"work_id":"fd14bad4-5442-429d-aead-275487ce9cf2","year":2013},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.398875Z"},"links":{"citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:b5455a19d563032dc285494d435a34d94626f4e3e4a035fa5aaf1fef039ba275","observation_id":"7f98a35b-990e-406d-9413-8d2b91f2307f","resolution":{"observed_at":"2026-08-07T12:35:20.464516Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2310.04749","last_updated":"2023-10-07T09:09:05Z","snapshot_observed_at":"2026-08-07T08:09:51.662674Z","submitted_at":"2023-10-07T09:09:05Z","title":"ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis","version":1},"cited_work":{"arxiv_id":"2310.04749","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.04749","snapshot_observed_at":"2026-08-07T12:35:19.870923Z","title":"ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis","venue":"cs.CV","work_id":"6bb75883-15b7-4879-a51d-8da8db70382d","year":2023},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.493576Z"},"links":{"cited_paper":"/paper/2310.04749","citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:ed556ee9b662ff98975e20bebf94b0c84471d086a88758a80fb5b0d12ec8297b","observation_id":"6427d6f5-f3ee-46fc-9bbe-0dc8f8c2a853","resolution":{"observed_at":"2026-08-07T12:35:19.912919Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:19.581016Z","title":"Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.581016Z"},"links":{"citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:01e9b6d06875950a18ba1bcf6d4fd8addeed315b10de489c77a02f8033c6f7b3","observation_id":"c13f7498-a809-4e74-9e57-39131ab92df0","resolution":{"observed_at":"2026-08-07T12:35:19.581016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:20.224496Z","title":"Vi TP ose: Simple vision transformer baselines for human pose estimation","venue":null,"work_id":"c60a429e-b6e6-4378-8468-0c0a9a349786","year":2022},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.671004Z"},"links":{"citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:923d287077833ae81396242963dbba0745d31ff232a16ecca9337120ba965d89","observation_id":"880e843b-8dea-4374-9292-a6027fad4c14","resolution":{"observed_at":"2026-08-07T12:35:20.287810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:20.030414Z","title":"Depth anything v2","venue":null,"work_id":"3a948f38-eaaf-4ded-970b-449085d43045","year":2024},"citing_paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:19.765586Z"},"links":{"citing_paper":"/paper/2505.24411"},"observation_digest":"sha256:ff2b0a4fd694a124991cfe77b3bbcc17775af0c86b5efd20396a50f9885b19d9","observation_id":"6af26917-7750-4a95-b465-e98efaaa23e2","resolution":{"observed_at":"2026-08-07T12:35:20.123505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2505.24411","last_updated":"2025-05-30T09:51:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T12:20:24.120929Z","submitted_at":"2025-05-30T09:51:04Z","title":"PCIE_Pose Solution for EgoExo4D Pose and Proficiency Estimation Challenge"},"reference_resolution":{"displayed":10,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":3},"total_outbound_references":10},"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 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2505.24411."}