{"as_of":"2026-08-08T20:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:76c1d811290257184583246a982f833d4f45a4c9a3ccc0f8244f4ec4ca4377f2","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:16:13.787237Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"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/2507.16342/citation-record","integrity":"/paper/2507.16342/integrity","json":"/paper/2507.16342/citation-record.json","paper":"/paper/2507.16342"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:16:16.211081Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2023)","venue":null,"work_id":"85143fdb-94fe-4acf-9444-020e51b4d0d3","year":2023},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:12.806730Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:a7f08ae2298f97577c41a6c7307057aa509a979f9eefd5fe897d57e53a923816","observation_id":"723d438c-515d-437b-96a6-c9a8ecc85078","resolution":{"observed_at":"2026-08-06T15:16:16.333526Z","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":"2026-08-06T15:16:16.058588Z","title":"In: Advances in Neural Information Pro- cessing Systems (NeurIPS) (2019)","venue":null,"work_id":"021c7c8c-428b-4a09-b199-f88d2c381061","year":2019},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:12.898808Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:f1ba726c85822414a09abe0c12df9bf4e97dbfe18aef81bc0cfaf47f5754d7b8","observation_id":"62540788-f713-4eb4-9e64-02aa092ccd31","resolution":{"observed_at":"2026-08-06T15:16:16.140889Z","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":"2026-08-06T15:16:15.888059Z","title":"In: International Conference on Computer Vision Theory and Applications (2025)","venue":null,"work_id":"507ea94f-2854-4f07-81dc-f360a026f6cc","year":2025},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:12.994544Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:9107e25f98191bb6220b0e4269e66cd3e5b0f1d3e984476fefc5549b45eac6c5","observation_id":"a84aa87a-d962-427e-afb7-7a04a8188e4b","resolution":{"observed_at":"2026-08-06T15:16:15.992483Z","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":{"arxiv_id":"2403.09626","last_updated":"2024-03-14T17:57:07Z","snapshot_observed_at":"2026-07-06T17:44:45.924645Z","submitted_at":"2024-03-14T17:57:07Z","title":"Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09626","snapshot_observed_at":"2026-08-06T15:16:13.073583Z","title":"arXiv preprint arXiv:2403.09626 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.073583Z"},"links":{"cited_paper":"/paper/2403.09626","citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:260ce0d09ba76cddfb745994fc530155034ba427bef9f7fcc68c2ab0cb44ce67","observation_id":"19ceaf88-34e3-4094-8163-9bbab0b21d83","resolution":{"observed_at":"2026-08-06T15:16:13.073583Z","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":"2026-08-06T15:16:15.733411Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","venue":null,"work_id":"7f6bfefb-d425-4fe4-9473-ffab68caece1","year":2019},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.160537Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:4b8bbd99eb9d6fc17fd06212fa8815c0e78896d8bc695116fbfe35a042e3eb48","observation_id":"64028203-dd7d-4cf1-82bf-1decf1519fd1","resolution":{"observed_at":"2026-08-06T15:16:15.820775Z","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":"2026-08-06T15:16:15.543065Z","title":"In: ICCV (2019)","venue":null,"work_id":"94168ed0-a3f8-48ad-b0e1-5e2622d57216","year":2019},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.227997Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:b2da1c96408a6bf0aaaff4206b0dbbe8722f6e4b7ca52405292c6849f774222f","observation_id":"d203fd28-6c85-403f-b6bc-148d8079509e","resolution":{"observed_at":"2026-08-06T15:16:15.625704Z","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":"2026-08-06T15:16:15.377761Z","title":"In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (2021)","venue":null,"work_id":"4ef33a75-ed08-4a38-a5da-4403823c6819","year":2021},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.324502Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:d5ae5831676046706c5dca2466435931268b77233592fa59b35b1a370a63d97e","observation_id":"de607b50-60fe-4b8c-ac3b-39313a9ad429","resolution":{"observed_at":"2026-08-06T15:16:15.477776Z","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":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-06T15:16:13.345358Z","title":"arXiv preprint arXiv:2312.00752 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.345358Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:3d980c95bc01bfd3ede442feabae6c0bf867a4a8d909848aa712c2b33884f73e","observation_id":"7eda6589-0f63-4312-ab9c-6eecb7f123db","resolution":{"observed_at":"2026-08-06T15:16:13.345358Z","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":"2026-08-06T15:16:15.214273Z","title":"In: IEEE International Conference on Computer Vision (2017)","venue":null,"work_id":"02264d34-4fcf-4ae5-9d10-3d18f1c2944d","year":2017},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.384877Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:3f5a5333f791307f0e0c20f0fa53229d888e3268aec83e8d8d644dcba344c366","observation_id":"2002f1cf-ccec-407d-8586-650c3283859f","resolution":{"observed_at":"2026-08-06T15:16:15.294891Z","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":"2026-08-06T15:16:15.036685Z","title":"In- ternational Journal of Computer Vision (2024)","venue":null,"work_id":"1213b906-681e-472c-87c3-d563154c631a","year":2024},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.388063Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:e3ec4500003ded401c814a05dfd72d80f7264eaa384675b585c21e39ab7f142b","observation_id":"24dfe2ef-0931-496c-8466-b76878dc98b4","resolution":{"observed_at":"2026-08-06T15:16:15.120607Z","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":"2026-08-06T15:16:14.797939Z","title":"In: International Conference on Image Analysis and Processing (2023)","venue":null,"work_id":"8a127ace-653e-49df-bf0f-c0889304c668","year":2023},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.446351Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:1e6d6d2d62bb13f78913cdc0252d2207e0e120d6e799853e0ab343b5d7fcd8d3","observation_id":"2a75402f-c76c-469e-9a2a-039f18a0ed62","resolution":{"observed_at":"2026-08-06T15:16:14.910401Z","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":"2026-08-06T15:16:14.625066Z","title":"In: ECCV (2018)","venue":null,"work_id":"80faa7a4-1a69-4396-81c0-e1474f9d3abb","year":2018},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.525237Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:aff0a17cdb53ec84ccc4b7b4c9d79656796babe4a8c429faa7f1c7e67b6a7145","observation_id":"e731d6d5-c958-4a47-88e1-27e8d8c92217","resolution":{"observed_at":"2026-08-06T15:16:14.703040Z","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":"2026-08-06T15:16:14.429978Z","title":null,"venue":null,"work_id":"55f24605-4bd4-429c-b29a-168449633d19","year":2021},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.569677Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:600668cb2d56f02c2c4949bf375527de0a2a79ed067b1085925df8010b8960c6","observation_id":"e6da165d-c77c-4e00-8941-e0055ffd8e92","resolution":{"observed_at":"2026-08-06T15:16:14.493716Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:16:14.249417Z","title":"In: ICCV (2019)","venue":null,"work_id":"6e2bf946-cf88-434f-95a4-f4fb23dc0cfc","year":2019},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.668050Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:f452da4326122d3b6210eb9b026593fa8569204dc98739fcde337c5c4a7f3d10","observation_id":"0aecd2da-18a4-4484-9509-7a4aba04fc3e","resolution":{"observed_at":"2026-08-06T15:16:14.307770Z","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":"2026-08-06T15:16:14.068318Z","title":"NeurIPS (2021)","venue":null,"work_id":"8b7eddff-963f-4947-8dd2-6fbd73fce250","year":2021},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.726343Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:2c074aba6df62dd96786ce9d8c1b564af881d3308908f4f517b1ca195eb0686d","observation_id":"d5753b42-06f0-4a58-8a22-f8fc163e0746","resolution":{"observed_at":"2026-08-06T15:16:14.132489Z","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":"2026-08-06T15:16:13.936385Z","title":"In: European Conference on Computer Vision (2022)","venue":null,"work_id":"da59d715-4884-4edb-a3d5-d68bff718e2f","year":2022},"citing_paper":{"arxiv_id":"2507.16342","last_updated":"2025-07-22T08:23:51Z","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:16:13.787237Z"},"links":{"citing_paper":"/paper/2507.16342"},"observation_digest":"sha256:56bdde50b2934c504faae8cc5f14bda1c4adf4d016c8319f70ba9bd73cac9dce","observation_id":"6bdf5d47-308d-483a-9e2e-e46387a59636","resolution":{"observed_at":"2026-08-06T15:16:13.979986Z","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":"2507.16342","last_updated":"2025-07-22T08:23:51Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T15:09:27.462925Z","submitted_at":"2025-07-22T08:23:51Z","title":"Mamba-OTR: a Mamba-based Solution for Online Take and Release Detection from Untrimmed Egocentric Video"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":16},"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 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.16342."}