{"as_of":"2026-07-22T05:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6e150069cfb4154fdf2c1ebd5a05a6f7a6a55e68a3a3ba3fa412740d6c538e8c","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T04:57:38.215348Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-21T06:31:05.380196+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/2605.09442/citation-record","integrity":"/paper/2605.09442/integrity","json":"/paper/2605.09442/citation-record.json","paper":"/paper/2605.09442"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Brooks, J","venue":null,"work_id":"ab6acb80-b272-4a95-bcba-591c849da8b4","year":2022},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:93340e6b81dfc4c13826c3545edec8ef523669f7a8bdc8f66cb8c6280c1a2a11","observation_id":"e7034ffe-e174-48df-af54-8a64bfefe8da","resolution":{"observed_at":"2026-05-12T12:56:35.034401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"25c8280d-8a99-4b40-ad88-43f49c48da0a","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:aebb569948df954c726b652e4043da508ffae02be3d5b1c39107b97883315024","observation_id":"bd5e699c-6fa5-4993-9869-133521484cd6","resolution":{"observed_at":"2026-05-12T12:56:35.026599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2508.21058","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T08:59:42.121465Z","title":"Mixture of contexts for long video generation.arXiv preprint arXiv:2508.21058","venue":null,"work_id":"b800ec2a-ab41-48e3-a98d-a26b4942bb2a","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:9841273f50a2cc5b6b881008aadf0db3b049823ea56bfc5d1e61f86591f3a9d1","observation_id":"e486fcd1-a8b3-46c3-ba08-45e01151f5c1","resolution":{"observed_at":"2026-05-12T05:46:30.460973Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"af6f101b-7a56-402f-8329-9822df8adc44","year":2026},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:cf4c158a1a43d042162430687d0826d1e53c4830914eee766ed637be53252ad5","observation_id":"7ceaf3e8-1242-4f05-8c95-4d90c0f50610","resolution":{"observed_at":"2026-05-12T12:56:35.018859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"6122c3f8-b560-444b-8610-c50d8737a2cc","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:21b03acfde12472311971207055d46cbf1bb525703f1f662cc42d3e4a0d4dc97","observation_id":"a43c4188-cd19-40a4-b5f5-c447c43dd86c","resolution":{"observed_at":"2026-05-12T12:56:35.037851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b60af7df-4c61-44bf-af5d-1d87f2a9542b","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:96b442758f69199fc2fa9a19704615d34d243bba440da20ae613acf409ef7ca0","observation_id":"7bb7858f-1db7-4ef9-ab41-be62f3a86c2e","resolution":{"observed_at":"2026-05-12T12:56:35.006404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19325","last_updated":"2025-05-18T02:27:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-25T03:38:06Z","title":"Long-Context Autoregressive Video Modeling with Next-Frame Prediction","version":3},"cited_work":{"arxiv_id":"2503.19325","doi":"10.48550/arxiv.2503.19325","metadata_source":"pith","pith_arxiv_id":"2503.19325","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Long-Context Autoregressive Video Modeling with Next-Frame Prediction","venue":"cs.CV","work_id":"9700bbdc-df42-461a-81fa-b29ffe683326","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2503.19325","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:b44c2b281b3a9cc8b844357eccf9dc2a6d4b98cfc9c5bbe294e2cbc1202da8b9","observation_id":"277e5795-5f67-4b2a-8f24-6d0b2f39f696","resolution":{"observed_at":"2026-05-16T23:05:17.562899Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.13221","last_updated":"2023-03-20T17:29:45Z","snapshot_observed_at":"2026-07-06T14:22:24.004857Z","submitted_at":"2022-11-23T18:58:39Z","title":"Latent Video Diffusion Models for High-Fidelity Long Video Generation","version":2},"cited_work":{"arxiv_id":"2211.13221","doi":"10.48550/arxiv.2211.13221","metadata_source":"pith","pith_arxiv_id":"2211.13221","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Latent Video Diffusion Models for High-Fidelity Long Video Generation","venue":"cs.CV","work_id":"23338b3d-620a-4954-904f-bab6a577b8a5","year":2022},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2211.13221","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:99b53f14869bd02af70634d20fcf9954c5ea2d2577780e1247679fd2dba77b1a","observation_id":"e28973e7-9744-4f86-bec3-13e5093f27d1","resolution":{"observed_at":"2026-05-15T04:27:43.523852Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08009","last_updated":"2025-11-10T04:36:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-09T17:59:55Z","title":"Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion","version":2},"cited_work":{"arxiv_id":"2506.08009","doi":"10.48550/arxiv.2506.08009","metadata_source":"pith","pith_arxiv_id":"2506.08009","snapshot_observed_at":"2026-07-11T01:07:45.231019Z","title":"Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion","venue":"cs.CV","work_id":"53e58ef9-7932-4b83-b757-34ac14db3e0f","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2506.08009","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:7767403db0d4540fe765d5c154be32e8be55e486bea57a846cd78cad7f6b4a63","observation_id":"78bff942-2c9e-4f44-8a1d-d267b3ced9ee","resolution":{"observed_at":"2026-05-12T05:46:30.532347Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-07-09T12:36:14.640482Z","title":"Huang, Y","venue":null,"work_id":"6467e369-03d4-40f6-8bc4-05d428c0d684","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:15b50a545521132ab0beae920f78180c24c819a47dc71fced9d1906017489d87","observation_id":"befafbf3-6da2-4034-b6c3-64dcb69f5fcf","resolution":{"observed_at":"2026-05-12T12:56:35.014078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.14699","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T22:39:00.980432Z","title":"Memflow: Flowing adaptive memory for consistent and efficient long video narratives","venue":null,"work_id":"e31a9aca-409e-4ac5-8e91-3bb188e52cd0","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:693622863259e894feb96ef7918db59f7ec6157876e25f848b9ca0b8abfceac8","observation_id":"40da6bb1-bcfa-4c3e-b900-c8e8f3dcb9ad","resolution":{"observed_at":"2026-05-12T05:46:30.256454Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19907","last_updated":"2025-03-25T17:59:06Z","snapshot_observed_at":"2026-07-06T20:58:36.895584Z","submitted_at":"2025-03-25T17:59:06Z","title":"FullDiT: Multi-Task Video Generative Foundation Model with Full Attention","version":1},"cited_work":{"arxiv_id":"2503.19907","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.19907","snapshot_observed_at":"2026-07-03T17:08:42.921278Z","title":"Fulldit: Multi-task video genera- tive foundation model with full attention","venue":null,"work_id":"d3c75fb5-7649-4107-aec0-9801737dfb8e","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2503.19907","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:751e83afc2869887f2c64d366e8c107c6a0e52eec7852d9b3fcd1a27ba1df0af","observation_id":"e88d3aa3-fd8c-4a6f-a198-cd832ffda9f9","resolution":{"observed_at":"2026-05-12T05:46:30.376329Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7d2b316d-57a4-4250-9a58-cd10c0ab3899","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:015607267e0f8b38ad7beac31313089e2257c158a03bb306e776bea49a2a9f5c","observation_id":"28ac6ce0-4dd1-444b-947c-2c2cb2e3130d","resolution":{"observed_at":"2026-05-12T12:56:35.043790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9cc4a462-19a7-4669-8aa6-318f2122fc1b","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:5629fe783b2d132fe9907c4f0164ec59bd56472a351a3f0e57e43f86c8ac8563","observation_id":"4142aac1-af2f-4571-9b79-cd693ddef432","resolution":{"observed_at":"2026-05-12T12:56:35.060455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e1241ed5-6957-41e8-ac8a-0b6642e9e399","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:ed81ee2ebbe625bb8cfeb59ccbf1ecd823bddeb65f0c7422b9c2eb59000638c9","observation_id":"bded524c-e31c-4fa7-95c5-68c427fee554","resolution":{"observed_at":"2026-05-12T12:56:35.056099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.10103","last_updated":"2026-04-28T08:33:18Z","snapshot_observed_at":"2026-07-06T22:58:47.599383Z","submitted_at":"2026-04-11T08:54:07Z","title":"Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation","version":2},"cited_work":{"arxiv_id":"2604.10103","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.10103","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Long-Horizon Streaming Video Generation via Hybrid Attention with Decoupled Distillation","venue":"cs.CV","work_id":"ceb92199-e471-4526-a7ca-a62f9e9fb4f7","year":2026},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2604.10103","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:695e9cac178fde6a75a532fdd28271e81017e370fba616bb6d525e39bc4df8a3","observation_id":"3034e999-1f78-4cf9-b6ff-96dbe828c482","resolution":{"observed_at":"2026-05-12T05:46:30.544350Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ee064357-c8f4-4907-892b-4160cc4aee7d","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:9da14f69fbd4eb032c9d916360b146c02c8ba1c0ec4f4f207eb973c691086c04","observation_id":"67b62ec9-7898-482e-afc4-1fef515d13a8","resolution":{"observed_at":"2026-05-12T12:56:35.003458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"cce3a9da-ef8d-43f1-a761-b5a7e18de171","year":2026},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:4704da1812b3d05598250fc6a8a45e1c0e8c16a9057031f98f6eea3ed83775b7","observation_id":"2eab72ca-a6dd-4947-a7bd-06d596b75a9e","resolution":{"observed_at":"2026-05-12T12:56:35.031472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15720","last_updated":"2025-08-21T16:57:33Z","snapshot_observed_at":"2026-07-06T22:16:15.447310Z","submitted_at":"2025-08-21T16:57:33Z","title":"WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception","version":1},"cited_work":{"arxiv_id":"2508.15720","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.15720","snapshot_observed_at":"2026-07-03T14:28:32.182919Z","title":"arXiv preprint arXiv:2508.15720 , year=","venue":null,"work_id":"83fd282b-79f8-4859-912e-9f1a620322a8","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2508.15720","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:6ef90e471a5ea3cd0e49b4cf007f20929d3a588f6382ad4eb054b8c83cc4e6a2","observation_id":"66e2ed1f-26e8-4a8d-b000-353686aab030","resolution":{"observed_at":"2026-05-12T05:46:30.303852Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"32aa1d45-3278-45ca-ba32-1bfcc9e362de","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:2ee2f2dff5149244f5d3481baf406e532787d92a6fdb68e0fc6768556f0d103a","observation_id":"4d8e5695-4cbd-423f-af57-685454abeff3","resolution":{"observed_at":"2026-05-12T12:56:35.050363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-07-08T01:34:27.261630Z","title":"Radford, J","venue":null,"work_id":"a25fa9d5-686d-456d-8850-281d14ed72a8","year":2021},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:3a1f71ee982288beb4fa1218381c5a2febcb05ad19d4232f18c67b2f98b1dc56","observation_id":"e005bd30-2116-4018-a721-1c24780dcdb3","resolution":{"observed_at":"2026-05-12T12:56:35.047072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06764","last_updated":"2025-07-24T03:58:47Z","snapshot_observed_at":"2026-07-06T20:34:11.407726Z","submitted_at":"2025-02-10T18:44:25Z","title":"History-Guided Video Diffusion","version":2},"cited_work":{"arxiv_id":"2502.06764","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.06764","snapshot_observed_at":"2026-07-08T03:24:28.724863Z","title":"History-Guided Video Diffusion","venue":"cs.LG","work_id":"7822dfb2-a168-4080-8673-2dfafbe1a2ab","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2502.06764","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:1681d775aa216bab5e59e00c0c6335a60e1ea16f630a0ecb14526a33b78cdf36","observation_id":"2cd96eb3-d213-4bfc-b8a6-cb4c33cac040","resolution":{"observed_at":"2026-05-16T12:00:14.880011Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"a002998e-6084-454c-8b95-74d10408e13a","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:b9c9183d36146abf8cc5f55c2e741c0b62c98e819f368fed5b4669824beb3604","observation_id":"3e27f749-5a45-4c60-8976-b9695874082b","resolution":{"observed_at":"2026-05-12T12:56:35.053116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02399","last_updated":"2022-10-05T17:18:28Z","snapshot_observed_at":"2026-07-06T14:00:01.450718Z","submitted_at":"2022-10-05T17:18:28Z","title":"Phenaki: Variable Length Video Generation From Open Domain Textual Description","version":1},"cited_work":{"arxiv_id":"2210.02399","doi":"10.48550/arxiv.2210.02399","metadata_source":"pith","pith_arxiv_id":"2210.02399","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Phenaki: Variable Length Video Generation From Open Domain Textual Description","venue":"cs.CV","work_id":"a325cd53-6549-4726-b3e9-94509f0df168","year":2022},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2210.02399","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:6f7e3fd303cea29f7927ff9983061ed2c95d183839e5f65b892bb17bbf255d02","observation_id":"331c521a-ff0c-4062-b716-ffe68f453a00","resolution":{"observed_at":"2026-05-17T01:43:34.268786Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20314","last_updated":"2025-04-19T02:22:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-26T08:25:43Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","version":2},"cited_work":{"arxiv_id":"2503.20314","doi":"10.1109/19.492748","metadata_source":"pith","pith_arxiv_id":"2503.20314","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Wan: Open and Advanced Large-Scale Video Generative Models","venue":"cs.CV","work_id":"ad3ebc3b-4224-46c9-b61d-bcf135da0a7c","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2503.20314","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:35409d99d5f3e152a6df6f8b4140f829f86143aeb11a856630884d04581b71aa","observation_id":"56914bb4-5042-4596-9040-1ffabe8e0136","resolution":{"observed_at":"2026-05-12T05:46:30.329209Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":"Wang, C.-Y","venue":null,"work_id":"403ff75b-d6bf-4165-a24e-d691e34006d5","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:551384197361afe8b56486787e046b5d8afed6d835a92ff994470adb4ffcd044","observation_id":"c93dd379-d8f1-4a51-bc23-e7eb7f702dd5","resolution":{"observed_at":"2026-05-12T12:56:35.040914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05284","last_updated":"2025-06-05T17:42:34Z","snapshot_observed_at":"2026-07-06T21:37:28.044836Z","submitted_at":"2025-06-05T17:42:34Z","title":"Video World Models with Long-term Spatial Memory","version":1},"cited_work":{"arxiv_id":"2506.05284","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.05284","snapshot_observed_at":"2026-07-03T17:58:47.769652Z","title":"Video world models with long-term spatial memory","venue":null,"work_id":"dbc95f37-bd69-4309-9971-934e68e24e7b","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2506.05284","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:bdc3df87a50e90d9fa8e75fe976bafde647f6e8da644e688a7e062da9b30d5a7","observation_id":"caabfd76-5e59-474f-88be-df2628208b22","resolution":{"observed_at":"2026-05-12T05:46:30.406350Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"993158da-9141-4815-8534-d679e64dbfb9","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:051cec58f07044a36f4d05fc073fe4f5f4db0d7b02f9e45f2e1cfb31d64033b6","observation_id":"a9118b33-dfed-439c-ba6b-9be0f6c81d57","resolution":{"observed_at":"2026-05-12T12:56:35.021551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"deff3e8d-8b24-404f-8886-1c9225af3a47","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:371c1bb9401d2dcba9d88b9cf87d8d3b1761f9c27fff3093bf395f5a7e273dd9","observation_id":"56cc51d8-6e9b-4d68-9ffd-f17bd7ad9651","resolution":{"observed_at":"2026-05-12T12:56:35.011638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"082160c5-4c6b-49a5-bf5c-d5e54323cce7","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:04f434d69d32e9b227f055a1eaffad41b4cc678a748b30f66e2a93b9411a39c8","observation_id":"29673666-4f74-4d58-9cba-fd13aa09fcd5","resolution":{"observed_at":"2026-05-12T12:56:35.016391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"202dff25-a874-4582-b2f6-ec501c5cfbac","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:b0ab26c8154243eb5e6c677973e936449963fbed075f037f674405f78fe257f0","observation_id":"637319c1-25c9-498d-9410-8b2ad3602874","resolution":{"observed_at":"2026-05-12T12:56:35.028963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ac6641b2-c5ca-428d-b7a6-63c6f3d8e170","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:a83a915268c62b1a42b224a6c1baa363ef1a9fe1506a09a4d1681c1964cd3dfb","observation_id":"28a8ce6a-96fc-4c70-aaf0-93cc2ab39fee","resolution":{"observed_at":"2026-05-12T12:56:35.009162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1b8061fe-2d96-4e7b-8c60-57cefeb750c7","year":2026},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:e7c6b4c29295f1f21eb20a9fe9619d1301c9a54af8c3282f494ec3e8cc3b7d9b","observation_id":"b638570b-8587-4f99-b764-a5fe014565b0","resolution":{"observed_at":"2026-05-12T12:56:35.024200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"562da5e3-92ff-4c62-bd35-8c890bcd22a0","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:7da1e33d0bdc5297176d189a31679ce65c5afb83e0eb2dc0f1ab3824da22ffe2","observation_id":"b265e528-5f73-403f-bbfe-d6e28eb98b3a","resolution":{"observed_at":"2026-05-12T12:56:35.090945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5a410512-ccd8-4ea8-8f9e-e78dcf5ba977","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:fca8e19cf3bea5fd60ae1248c039ceb1c70631c18fb5ec4840b9ac37f81ea589","observation_id":"e3cecd1a-f789-4dd8-8292-38b74d89562a","resolution":{"observed_at":"2026-05-12T12:56:35.080524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"46bfc4ad-8ab4-4d51-babc-999e541da440","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:0e2512c267470ff2756d3b5a040ee463a353b11c03c24fbae50bf90d844d0dc8","observation_id":"78f0f7ed-10ff-4379-bb13-100f7f8136d7","resolution":{"observed_at":"2026-05-12T12:56:35.076885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"56bbb01f-d8ca-4c0c-af90-0fdb242b53c1","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:534e58754db7ec0c40257d340a982c4dfd8ed8753d563d91deb728fd428a145d","observation_id":"e7b0dd4e-0e48-412a-a7ff-900eedfcd786","resolution":{"observed_at":"2026-05-12T12:56:35.063794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13248","last_updated":"2024-10-03T22:13:39Z","snapshot_observed_at":"2026-07-06T17:47:26.534826Z","submitted_at":"2024-03-20T02:19:21Z","title":"Mora: Enabling Generalist Video Generation via A Multi-Agent Framework","version":3},"cited_work":{"arxiv_id":"2403.13248","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.13248","snapshot_observed_at":"2026-07-04T16:39:57.779846Z","title":"Mora: Enabling generalist video generation via a multi-agent framework","venue":null,"work_id":"3374e28c-39b3-470d-a490-5bf8ff7fa2a3","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"cited_paper":"/paper/2403.13248","citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:5fc78140e484a1b1ee148ccf3d262082ea3eb0b4dc3f3a6aaa481597221417b3","observation_id":"3cd5b8f9-b077-4a71-9a99-e3573bf55b72","resolution":{"observed_at":"2026-05-12T05:46:30.190400Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.19539","doi":"10.48550/arxiv.2512.19539","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Storymem: Multi-shot long video storytelling with memory","venue":null,"work_id":"e9664b60-b7f0-49af-8ca2-f9afad0a548c","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:e807de46d621febd177fe636aa7dbbaab76ad2f3fef1d3205e43484410a2ce77","observation_id":"6d675842-c37b-457e-878a-daf18a2bc806","resolution":{"observed_at":"2026-05-12T05:46:30.207012Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-10T19:18:57.479357+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T19:18:57.479357+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":"Zhang, S","venue":null,"work_id":"d1f8b798-c3f6-4240-94ef-92ac3cb431da","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:f0dab079d65da26041d8d180d2029fc6cad9f86c7244ba07e33492f66043af41","observation_id":"b6248b3b-94ca-4128-b86e-141d8bba4787","resolution":{"observed_at":"2026-05-12T12:56:35.070170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":"Zhang, Y","venue":null,"work_id":"4849cead-c4c5-4cf6-9e13-a67b146c5915","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:dca180c0e9f8fd1c441685def3188b76a2ed4bfeae483389de16e3b77bd67f6b","observation_id":"d0d9e3ff-6bad-4441-ac27-046041f7535a","resolution":{"observed_at":"2026-05-12T12:56:35.073300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"22c85484-f5dd-44a0-8ff6-e109c1465ad2","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:1d4ce56d793f94145fce7b7ca64c8c8d77741d594dc8030ac9a4a4016f12e7bc","observation_id":"06e525b7-9843-492b-9ddb-5c9f98239ed6","resolution":{"observed_at":"2026-05-12T12:56:35.084127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8a7347b7-1182-44e2-8f91-b4e6bad0518f","year":2024},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:d25262d7eaed5d6b04400d5212cffe7e31c9be21fb6710977ebb322fc5bdec78","observation_id":"5fd36fa2-9d97-47cd-a225-79a0669199af","resolution":{"observed_at":"2026-05-12T12:56:35.087564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.18741","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T12:49:52.817585Z","title":"Memorize-and-generate: Towards long-term consistency in real-time video generation.arXiv preprint arXiv:2512.18741, 2025","venue":null,"work_id":"e0697243-3551-4782-8dca-4a8e2574048a","year":2025},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:55f82c504152756ae7f175f1556f3f1d9db6604bb26c44fff6d6273257e7d713","observation_id":"1e523246-ca8f-494f-ac3b-55eba1cf6e9d","resolution":{"observed_at":"2026-05-12T05:46:30.214182Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"791410c4-000c-4e49-b867-748ff47100fa","year":null},"citing_paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-12T04:57:38.215348Z"},"links":{"citing_paper":"/paper/2605.09442"},"observation_digest":"sha256:faa0fbce08afcb2e0736d09e31908043c5b4232a4541caca5f4d08f4ffb155e0","observation_id":"67f1d4cc-de78-4286-8054-3907957f9938","resolution":{"observed_at":"2026-05-12T12:56:35.067145Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.09442","last_updated":"2026-05-10T09:37:56Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:21:30.897592Z","submitted_at":"2026-05-10T09:37:56Z","title":"SWIFT: Prompt-Adaptive Memory for Efficient Interactive Long Video Generation"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":15,"verified_fuzzy":29},"total_outbound_references":45},"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":"2026-07-21T06:31:05.380196+00:00","source":"crossref"},{"observed_at":"2026-07-21T06:31:00.184556+00:00","source":"retraction_watch"}],"thesis":"As of 22 July 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2605.09442."}