{"as_of":"2026-08-09T21:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f7c312bfbc53d1bc23a8aa9914e9eac7b9a9fe3dec9f962c51add58349578b8e","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":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":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T00:55:50.089925Z","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":"2026-07-03T09:47:59.499640Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-07T15:34:41.992087Z","title":"Video-xl-pro: Re- constructive token compression for extremely long video understanding.arXiv preprint arXiv:2503.18478, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.14640","last_updated":"2025-05-20T17:26:32Z","snapshot_observed_at":"2026-08-07T15:28:25.992115Z","submitted_at":"2025-05-20T17:26:32Z","title":"VideoEval-Pro: Robust and Realistic Long Video Understanding Evaluation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:34:41.992087Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2505.14640"},"observation_digest":"sha256:9d53609f9bc99606aea78e71de9287d21daf4ffd89ce138fd78722b8b136f98e","observation_id":"3e33eeb5-d633-4f8a-b2ed-99519e4ae733","resolution":{"observed_at":"2026-08-07T15:34:41.992087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-07T11:59:07.742693Z","title":"Video-xl-pro: Recon- structive token compression for extremely long video understanding, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.00993","last_updated":"2025-06-01T12:49:39Z","snapshot_observed_at":"2026-08-08T18:44:33.509277Z","submitted_at":"2025-06-01T12:49:39Z","title":"FlexSelect: Flexible Token Selection for Efficient Long Video Understanding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:59:07.742693Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2506.00993"},"observation_digest":"sha256:39b3fb58c2d0be802ad72fe3da7eef31b10466dcc58e994750fb34940da58c68","observation_id":"8b3bc549-41c2-46f4-95bc-16ad15f0b52f","resolution":{"observed_at":"2026-08-07T11:59:07.742693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-06T23:13:07.690732Z","title":"Video-xl-pro: Reconstructive token compression for extremely long video understanding.arXiv preprint arXiv:2503.18478, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.19225","last_updated":"2025-06-24T01:19:56Z","snapshot_observed_at":"2026-08-07T21:07:46.308380Z","submitted_at":"2025-06-24T01:19:56Z","title":"Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:13:07.690732Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2506.19225"},"observation_digest":"sha256:905ccb6c5d9cf5c9d24e8da82d45167f4375d334aeb4742f54d60bdf299bcd9e","observation_id":"eb7cc081-46f7-4693-b683-5c2b592d35d0","resolution":{"observed_at":"2026-08-06T23:13:07.690732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-06T22:36:38.084306Z","title":"Video-xl-pro: Reconstructive token compression for extremely long video understanding.arXiv preprint arXiv:2503.18478, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.21184","last_updated":"2025-06-26T12:43:43Z","snapshot_observed_at":"2026-08-08T13:40:41.778180Z","submitted_at":"2025-06-26T12:43:43Z","title":"Task-Aware KV Compression For Cost-Effective Long Video Understanding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:36:38.084306Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2506.21184"},"observation_digest":"sha256:b8a1730a0c06db629e4de1234449b8890aada9aa168aeec980fec97d0a8eca40","observation_id":"7b1cea3d-234c-40a5-8664-57c158420a68","resolution":{"observed_at":"2026-08-06T22:36:38.084306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-06T18:10:12.773039Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.09068","last_updated":"2025-07-23T13:06:44Z","snapshot_observed_at":"2026-08-07T05:26:16.655495Z","submitted_at":"2025-07-11T23:07:04Z","title":"Infinite Video Understanding","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:10:12.773039Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2507.09068"},"observation_digest":"sha256:6f193b94050110a2361ce112d0ca98aea3852d6b9c52c38392e1f8b846e8bef5","observation_id":"3633c010-534b-47ba-b99c-22c9cd1f6f03","resolution":{"observed_at":"2026-08-06T18:10:12.773039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-05T17:46:46.113776Z","title":"Video-xl-pro: Reconstructive token compression for extremely long video understanding.arXiv preprint arXiv:2503.18478, 2025a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.15717","last_updated":"2025-08-21T16:56:29Z","snapshot_observed_at":"2026-08-09T15:11:23.510316Z","submitted_at":"2025-08-21T16:56:29Z","title":"StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T17:46:46.113776Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2508.15717"},"observation_digest":"sha256:74a7e1766040b6f1f56d7fbc2a244baac39266ee920a72e1affe3bc4b536c1eb","observation_id":"fa50cc48-00a6-4f1d-a7bd-a2f345192d87","resolution":{"observed_at":"2026-08-05T17:46:46.113776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":"2503.18478","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-07-03T09:47:59.499640Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding","venue":null,"work_id":"e244516b-463d-478b-8a4c-afa1acbdc7ee","year":2025},"citing_paper":{"arxiv_id":"2602.22779","last_updated":"2026-06-03T09:11:47Z","snapshot_observed_at":"2026-08-02T20:38:33.149530Z","submitted_at":"2026-02-26T09:15:34Z","title":"TrajTok: Learning Trajectory Tokens enables better Video Understanding","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-15T19:11:52.694778Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2602.22779"},"observation_digest":"sha256:77863c54e20034724f8b8b5a4a6e55e40763f59208f0a9a6f662e34a14674ba7","observation_id":"cc8dddbb-fcbe-46be-a505-32d5fdd226ba","resolution":{"observed_at":"2026-05-15T19:16:31.818794Z","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":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-02T20:38:40.280072Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding.arXiv preprint arXiv:2503.18478, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.22779","last_updated":"2026-06-03T09:11:47Z","snapshot_observed_at":"2026-08-02T20:38:33.149530Z","submitted_at":"2026-02-26T09:15:34Z","title":"TrajTok: Learning Trajectory Tokens enables better Video Understanding","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T20:38:40.280072Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2602.22779"},"observation_digest":"sha256:6cf2cc5434eed00ad72a2dd1578f31785e1d94be72e6e91be0b5585a43ac4520","observation_id":"dec902ec-bfea-4591-b6ff-146af91e7235","resolution":{"observed_at":"2026-08-02T20:38:40.280072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":"2503.18478","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-07-03T09:47:59.499640Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding","venue":null,"work_id":"e244516b-463d-478b-8a4c-afa1acbdc7ee","year":2025},"citing_paper":{"arxiv_id":"2604.08050","last_updated":"2026-04-09T09:58:56Z","snapshot_observed_at":"2026-07-06T22:57:13.745326Z","submitted_at":"2026-04-09T09:58:56Z","title":"ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T17:55:12.551127Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2604.08050"},"observation_digest":"sha256:d0dad2c2f10afe8be976fab51b361de3403e6efa179666110478bb613dc91d8d","observation_id":"106e8513-5d5d-44af-ae95-c06b5685ba6f","resolution":{"observed_at":"2026-05-11T05:51:08.572399Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":"2503.18478","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-07-03T09:47:59.499640Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding","venue":null,"work_id":"e244516b-463d-478b-8a4c-afa1acbdc7ee","year":2025},"citing_paper":{"arxiv_id":"2604.11627","last_updated":"2026-04-13T15:38:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-13T15:38:22Z","title":"POINTS-Long: Adaptive Dual-Mode Visual Reasoning in MLLMs","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T15:23:08.671342Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2604.11627"},"observation_digest":"sha256:9f65f45735f95aa7e969db13060531051a3e9280de818490a4d77fa93eeb1a13","observation_id":"e02d17ee-dd84-4b5e-9cf2-de14012b7314","resolution":{"observed_at":"2026-05-11T10:41:04.220093Z","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":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":"2503.18478","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-07-03T09:47:59.499640Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding","venue":null,"work_id":"e244516b-463d-478b-8a4c-afa1acbdc7ee","year":2025},"citing_paper":{"arxiv_id":"2605.08329","last_updated":"2026-05-08T17:26:24Z","snapshot_observed_at":"2026-07-06T23:20:33.816373Z","submitted_at":"2026-05-08T17:26:24Z","title":"An Efficient Token Compression Framework for Visual Object Tracking","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-12T01:27:18.535624Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2605.08329"},"observation_digest":"sha256:f3714ae0d5f56e1cedc9ef193a21c3d824371ca41ddca43563a78736597c0033","observation_id":"f8ca53a4-d334-4687-8ef1-d27a3470d8fe","resolution":{"observed_at":"2026-05-12T07:56:35.688591Z","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":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":"2503.18478","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-07-03T09:47:59.499640Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding","venue":null,"work_id":"e244516b-463d-478b-8a4c-afa1acbdc7ee","year":2025},"citing_paper":{"arxiv_id":"2605.25979","last_updated":"2026-05-25T15:54:04Z","snapshot_observed_at":"2026-07-06T23:35:50.787324Z","submitted_at":"2026-05-25T15:54:04Z","title":"LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-29T22:12:05.365596Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2605.25979"},"observation_digest":"sha256:22903bedb75fe8c753ee9d7438c6c6a0a2ea08c2f2dc7af58797d2f1143ff991","observation_id":"764b775d-4ec5-44ac-8fa6-1402452ebb2e","resolution":{"observed_at":"2026-06-29T22:13:59.625729Z","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":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":"2503.18478","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-07-03T09:47:59.499640Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding","venue":null,"work_id":"e244516b-463d-478b-8a4c-afa1acbdc7ee","year":2025},"citing_paper":{"arxiv_id":"2606.09064","last_updated":"2026-06-08T06:02:05Z","snapshot_observed_at":"2026-07-06T23:48:30.569726Z","submitted_at":"2026-06-08T06:02:05Z","title":"See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-27T17:35:07.667016Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2606.09064"},"observation_digest":"sha256:e5f5e78d17755b67b05486f68f456a234f60d3c38336119a81769aba03efa698","observation_id":"73b9a860-34e2-4a23-babe-839e92e665cb","resolution":{"observed_at":"2026-07-02T23:57:29.032841Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":"2503.18478","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-07-03T09:47:59.499640Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding","venue":null,"work_id":"e244516b-463d-478b-8a4c-afa1acbdc7ee","year":2025},"citing_paper":{"arxiv_id":"2606.11740","last_updated":"2026-06-10T07:16:27Z","snapshot_observed_at":"2026-08-02T02:17:16.809620Z","submitted_at":"2026-06-10T07:16:27Z","title":"UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-06-27T10:21:12.782864Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2606.11740"},"observation_digest":"sha256:a21a7da70e3ec70ed4e3dc2cc4a10d96bdd2c292c8300b994df5385ab3c4496c","observation_id":"73d93836-809b-447d-ac9c-83e4e72c1d57","resolution":{"observed_at":"2026-07-03T09:47:59.500966Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-03T00:45:20.463141Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28678","last_updated":"2026-07-29T10:25:23Z","snapshot_observed_at":"2026-08-07T03:57:17.672794Z","submitted_at":"2026-07-29T10:25:23Z","title":"ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T00:45:20.463141Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2607.28678"},"observation_digest":"sha256:6c5939739c0bf67e575391b6afd9b56544150de2da05440af5fec4e36e72f68c","observation_id":"6a27851f-2519-4a71-a283-cdf7c5a5f0cd","resolution":{"observed_at":"2026-08-03T00:45:20.463141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.18478","snapshot_observed_at":"2026-08-08T00:55:50.089925Z","title":"Video-xl-pro: Reconstructive token compres- sion for extremely long video understanding.arXiv preprint arXiv:2503.18478, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.03112","last_updated":"2026-08-04T04:32:48Z","snapshot_observed_at":"2026-08-09T10:29:28.879963Z","submitted_at":"2026-08-04T04:32:48Z","title":"Adaptive Two-Stage Visual Token Pruning for Efficient Inference in Video-Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T00:55:50.089925Z"},"links":{"cited_paper":"/paper/2503.18478","citing_paper":"/paper/2608.03112"},"observation_digest":"sha256:0df87439b63073a54fa16973a1d40824b5386e49e6a3451a2f4070b75f210ceb","observation_id":"a2fbb7ef-1df6-4de6-a5ce-e13c9d235442","resolution":{"observed_at":"2026-08-08T00:55:50.089925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.18478/citation-record","integrity":"/paper/2503.18478/integrity","json":"/paper/2503.18478/citation-record.json","paper":"/paper/2503.18478"},"outbound":[],"paper":{"arxiv_id":"2503.18478","last_updated":"2025-04-27T10:39:51Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:41:53.661756Z","submitted_at":"2025-03-24T09:21:48Z","title":"Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2503.18478."}