{"as_of":"2026-08-16T08:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7c02f3ea7d0cf26fb22949679fe98bd16e54ffc478c5937e5e415ec8453f391e","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T05:52:42.590426Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2412.17042/citation-record","integrity":"/paper/2412.17042/integrity","json":"/paper/2412.17042/citation-record.json","paper":"/paper/2412.17042"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:52:43.398562Z","title":"Video frame interpolation via deformable separable convolution,","venue":null,"work_id":"89f6f43f-6ce9-4637-bfc8-9472c5d8aebd","year":2020},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.371013Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:5e6cbd73ac69d3f6785a8fdd2d537988b34208927989527156d6e90b81b16b64","observation_id":"2331f83f-8edd-42ee-936b-da5080e6ef67","resolution":{"observed_at":"2026-08-11T05:52:43.403775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.381800Z","title":"St-mfnet: A spatio-temporal multi- flow network for frame interpolation,","venue":null,"work_id":"1a85bb49-6e60-4058-b487-4b0a135a5f5a","year":2021},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.377672Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:c334a3f835243992a0b0758eff665104d82e0d6adabde2bdfc42e50a223556af","observation_id":"301970d7-c151-4534-ae45-62d0b1b7c4e8","resolution":{"observed_at":"2026-08-11T05:52:43.387212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.365009Z","title":"Super slomo: High quality estimation of multiple intermediate frames for video interpolation,","venue":null,"work_id":"1e3c6149-6736-4fe5-b774-c61a10bd2a88","year":2017},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.383556Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:8ffd9aef540978524cc308b091c9fa1f58c78cf589e9dd2ec467511132e5903b","observation_id":"8294e84d-dffd-41bd-9688-9b617424df45","resolution":{"observed_at":"2026-08-11T05:52:43.370525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.346866Z","title":"Softmax splatting for video frame interpolation,","venue":null,"work_id":"15cfe4eb-915a-4261-9375-85ea9d3fbcb5","year":2020},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.388970Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:4476b9e83e719f430121f89823d6f9093f309ab86744f670e3ada8c7b18589a2","observation_id":"dd9a0170-2de5-429c-b165-a0adfc6df12a","resolution":{"observed_at":"2026-08-11T05:52:43.352424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.327563Z","title":"Xvfi: extreme video frame interpolation,","venue":null,"work_id":"0434ccfc-4d1e-4321-a0c1-805420a6d852","year":2021},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.395361Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:89591bd47eaf6c4ab6cbe8d5f07e77161be34cbecfbf28e3b9be5ac35dd0df35","observation_id":"fe7359e8-a6e4-4f8d-a39e-5a9b630da82f","resolution":{"observed_at":"2026-08-11T05:52:43.333934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.306758Z","title":"Ifrnet: Intermediate feature refine network for efficient frame interpolation,","venue":null,"work_id":"da864648-2a6b-4b3f-9e4a-e6294e043644","year":1959},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.402502Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:4a79883372fc94da08353a8e47f521b935439628ba76146f330a26749b639baa","observation_id":"56285827-a476-4c96-b6b4-dc9c45f6cde5","resolution":{"observed_at":"2026-08-11T05:52:43.313688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.273498Z","title":"Ldmvfi: Video frame interpo- lation with latent diffusion models,","venue":null,"work_id":"c0a262fe-44c3-4f1a-9538-e2b36f2fcd56","year":2023},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.410843Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:00e7edd0ba7f5dd1d362cbed6abbe20134eafd69140ed4964bd4e852b1e6cb79","observation_id":"a599757a-26e9-4aa8-84d7-76fa26ca500e","resolution":{"observed_at":"2026-08-11T05:52:43.288804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.244701Z","title":"Video interpolation with diffusion models,","venue":null,"work_id":"c0fbe6bd-9bb3-4c0e-841c-597d19f77ac1","year":2024},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.416779Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:3efbcf3362a3969ca62d3d0d70c396bd5df8fa25c6f2ef8ef5582c6a5bc41145","observation_id":"924adb21-c0bd-42c6-938a-84e45d5f4dc5","resolution":{"observed_at":"2026-08-11T05:52:43.255244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.15239","last_updated":"2025-02-12T06:26:29Z","snapshot_observed_at":"2026-08-14T23:20:22.082020Z","submitted_at":"2024-08-27T17:57:14Z","title":"Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.15239","snapshot_observed_at":"2026-08-11T05:52:42.422890Z","title":"Generative inbetweening: Adapting image-to-video models for keyframe interpolation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.422890Z"},"links":{"cited_paper":"/paper/2408.15239","citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:aa0d39f84c3cf457db1d1e770cb57ff9f16b4ce368d9de8d779748ae2ab40881","observation_id":"a0fd7602-3a91-4f35-9c7d-8a251c5a0eee","resolution":{"observed_at":"2026-08-11T05:52:42.422890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.18978","last_updated":"2024-11-04T13:37:31Z","snapshot_observed_at":"2026-08-12T22:15:39.520502Z","submitted_at":"2024-10-24T17:59:51Z","title":"Framer: Interactive Frame Interpolation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.18978","snapshot_observed_at":"2026-08-11T05:52:42.428721Z","title":"Framer: Interactive frame interpolation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.428721Z"},"links":{"cited_paper":"/paper/2410.18978","citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:761fa3574520719d507a4cab6cbf21c8561652dd9d3f481c55a93992776bed25","observation_id":"a95af689-80c7-4dee-8d2b-5200fecd30f3","resolution":{"observed_at":"2026-08-11T05:52:42.428721Z","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":"2026-08-11T05:52:43.222653Z","title":"Adding conditional control to text- to-image diffusion models,","venue":null,"work_id":"c98bbb3f-0ca5-44be-832c-56ee88bdb491","year":2023},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.434741Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:6f8205f147f8ae96ce6251364a16fb883a2c8daa5efc435a2e512f938952aa52","observation_id":"973e5e65-ae81-4f7e-8549-7918996ea6cc","resolution":{"observed_at":"2026-08-11T05:52:43.229089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.204663Z","title":"Attention is all you need,","venue":null,"work_id":"13ea5e56-9be4-438a-b285-8a39dde0bac1","year":2017},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.440304Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:a3d3b572e2904131982a9eefd80789e2277ce4313dffefb0c1ba6cb43684f9b0","observation_id":"2d543452-8882-4f58-a40d-55beb50ed10d","resolution":{"observed_at":"2026-08-11T05:52:43.210055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.186166Z","title":"Amt: All- pairs multi-field transforms for efficient frame interpolation,","venue":null,"work_id":"7ba29a83-1ab2-41bb-bb6a-db92dfb6f8d2","year":2023},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.446666Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:95e6f86fc21f2cd95195b57a7c2f091f87d055531f36143e629884d3357af193","observation_id":"02145866-7757-412a-b808-5d8f38010fca","resolution":{"observed_at":"2026-08-11T05:52:43.191472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:52:42.453587Z","title":"Film: Frame interpolation for large motion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.453587Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:71f8fa5ba5e3d8cae9687c678d537b99134b0350b8a64c736d8c72ffd5d73ce3","observation_id":"ab14d0b9-dc95-4269-9c7c-39887a9d3a1d","resolution":{"observed_at":"2026-08-11T05:52:42.453587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.06294","last_updated":"2022-07-13T06:51:21Z","snapshot_observed_at":"2026-08-15T12:14:24.384863Z","submitted_at":"2020-11-12T10:12:06Z","title":"Real-Time Intermediate Flow Estimation for Video Frame Interpolation","version":12},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.06294","snapshot_observed_at":"2026-08-11T05:52:42.459498Z","title":"Rife: Real-time intermediate flow estimation for video frame interpolation,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.459498Z"},"links":{"cited_paper":"/paper/2011.06294","citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:8a17cfed82f88f70b2e147fe6bc87f65d714506cc1c1662aac30f51a6f65e782","observation_id":"c72bf4ca-865a-4888-829d-9135b29ff202","resolution":{"observed_at":"2026-08-11T05:52:42.459498Z","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":"2026-08-11T05:52:43.146885Z","title":"Denoising diffusion probabilistic models,","venue":null,"work_id":"1be5c1b4-705a-456b-892d-2b85ec535fdd","year":2020},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.465468Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:b1adf0628dd9af408f92d137b7355bced7102c5ae97b2373d9455d7bc526ba97","observation_id":"cb362fdc-5ac0-40a6-9392-1e218ddfeed0","resolution":{"observed_at":"2026-08-11T05:52:43.153641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.122409Z","title":"Denoising diffusion implicit models,","venue":null,"work_id":"68eefb5e-bbc5-40f2-baae-b762a4e161f3","year":2021},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.471554Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:48f72d828b87b2a9694b4779dd229b089e154da2ba6f5bf90c1ed4b9295c7fcf","observation_id":"e6915843-1294-47b5-be45-04769954c945","resolution":{"observed_at":"2026-08-11T05:52:43.129911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.102663Z","title":"Diffusion models beat gans on image synthesis,","venue":null,"work_id":"82209766-80b9-4c6d-a0ca-031a350ec7d6","year":2021},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.476885Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:0fd89433caadff604e984269518c74106d6f62deb7e36c20d167fc06dd118d32","observation_id":"4d927bcc-f4e9-4ca5-a177-c71cadcb6640","resolution":{"observed_at":"2026-08-11T05:52:43.108996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.084099Z","title":"Classifier-free diffusion guidance,","venue":null,"work_id":"398b57ec-56a9-4ffe-897f-765b70e3c33c","year":2021},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.482063Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:0da31eaf35b635777167a2457b5222a1fc153548304b8ea3bc5fa3ad9296e26f","observation_id":"e8a25654-e7e8-482d-88ff-4297fb8719b0","resolution":{"observed_at":"2026-08-11T05:52:43.090721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:43.061595Z","title":"High- resolution image synthesis with latent diffusion models,","venue":null,"work_id":"ac46aed3-d240-4050-984e-8c9cbd3f79f0","year":2022},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.487449Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:1234e679af404f5ea711d26527672e92851c7bc66ba12acdce5a4fff9e4bc622","observation_id":"c2406feb-01ed-4610-aff6-516982e89263","resolution":{"observed_at":"2026-08-11T05:52:43.067735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.15127","last_updated":"2023-11-25T22:28:38Z","snapshot_observed_at":"2026-08-16T05:16:06.707764Z","submitted_at":"2023-11-25T22:28:38Z","title":"Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.15127","snapshot_observed_at":"2026-08-11T05:52:42.493005Z","title":"Stable video diffusion: Scaling latent video diffusion models to large datasets,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.493005Z"},"links":{"cited_paper":"/paper/2311.15127","citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:7215cf515f3f2e9d2b102372168b2dc2553c5b90b636c55305dc142ff7b2c3c1","observation_id":"95b524b0-3baf-4b9f-b443-0f6b4b0629f5","resolution":{"observed_at":"2026-08-11T05:52:42.493005Z","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":"2026-08-11T05:52:43.040987Z","title":"Cogvideo: Large-scale pretraining for text-to-video generation via transformers,","venue":null,"work_id":"de149ba6-f1c2-4c99-aff4-189db8c882f7","year":2023},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.498479Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:7b4c7febef9e30d301db738c716b456f0f7fe4ae5a04679b8737dd789fef81ae","observation_id":"59225bcc-cffe-4b53-9eee-63860aae916a","resolution":{"observed_at":"2026-08-11T05:52:43.048290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:52:42.503906Z","title":"Animatediff: Animate your personalized text-to- image diffusion models without specific tuning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.503906Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:2912c70a58e18958c35a308c01bda1d0016a233dd947c883562dedd07d3880fd","observation_id":"cbeea0de-b040-402a-a2e6-c8aea070bde6","resolution":{"observed_at":"2026-08-11T05:52:42.503906Z","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":"2026-08-11T05:52:43.004106Z","title":"Align your latents: High-resolution video synthesis with latent diffusion models,","venue":null,"work_id":"a57f3aa3-d57c-48a8-a9e1-fb951fdd2358","year":2023},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.509677Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:d8b37b8dce1caa4da6c459cee680ac47ee2a3f839ba076627adbe0192a0f165c","observation_id":"56b5529c-2207-4969-84c8-59635287442b","resolution":{"observed_at":"2026-08-11T05:52:43.011709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.980203Z","title":"Make-a- video: Text-to-video generation without text-video data,","venue":null,"work_id":"65371857-828e-4afa-8b45-56d67cda0155","year":2023},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.514380Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:2e8a51d08edc8f4da5297151bf776cba582a775c682f3dc6ff2d6a495901224b","observation_id":"f2ae0b56-1897-45fe-b835-dde1093c2b79","resolution":{"observed_at":"2026-08-11T05:52:42.986613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.960414Z","title":"Sparsectrl: Adding sparse controls to text-to-video diffusion models,","venue":null,"work_id":"d5c84c21-7243-4e8d-9ea7-9a2280434190","year":2023},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.520597Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:7957db4c1b0f9bab9871d529964a437169c965b846f9c41c19b2841612304768","observation_id":"03ef569a-19df-4752-89f4-98b19777a5b4","resolution":{"observed_at":"2026-08-11T05:52:42.966861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.938392Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":"9ff5bee5-5129-4c04-87bb-f1f8ce05fda0","year":2021},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.527033Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:b71931bdc9bf7554c712c8c577350a14fa6bf3bb677c7be683d79a11d22d14a6","observation_id":"9594617a-05ae-4042-9a88-1a0083f13113","resolution":{"observed_at":"2026-08-11T05:52:42.945748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.916392Z","title":"Raft: Recurrent all-pairs field transforms for optical flow,","venue":null,"work_id":"b9bfef6f-3831-46a6-8bad-e16d07ecacf6","year":2020},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.535027Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:f013ade243250788a0a4182c26da10de75a3dddfaca7dd2a3f9a0093c91d690a","observation_id":"77e1e262-fcc6-4f9a-9325-b15ca4217e31","resolution":{"observed_at":"2026-08-11T05:52:42.923448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.892621Z","title":"Towards robust monocular depth estimation: Mixing datasets for zero-shot cross- dataset transfer,","venue":null,"work_id":"cf688c6d-0a42-49ae-95cc-92f0217af3c2","year":2019},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.541451Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:dc0d776c8380333224b94a740afeeee05cce649b4b0cd69c4a0a61b359522f60","observation_id":"a2294002-1da5-42d9-a398-f4f1c5ed7c10","resolution":{"observed_at":"2026-08-11T05:52:42.902243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:52:42.547724Z","title":"Cbam: Convolutional block attention module,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.547724Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:cc016b809e82cb1e271eee7a3466390b7505dc99120eb563680e089f01bd9134","observation_id":"33ae4ad5-a554-476c-a141-e12f4286f0b2","resolution":{"observed_at":"2026-08-11T05:52:42.547724Z","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":"2026-08-11T05:52:42.855848Z","title":"Frozen in time: A joint video and image encoder for end-to-end retrieval,","venue":null,"work_id":"a8ef3b30-6c81-4c22-81be-3ac13b840b40","year":2021},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.554556Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:a064d69bbb6652a41476bbdfcc9ba6856a443721577e6125597777605ede9684","observation_id":"94a6af54-8c85-4227-a2eb-bc7465d90144","resolution":{"observed_at":"2026-08-11T05:52:42.861754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T05:52:42.561210Z","title":"Video enhance- ment with task-oriented flow,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.561210Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:20869a8c6dbd060a195bde71791dd87aeb3135def69213f81654bc7ef1ad6eb7","observation_id":"fc5b2918-c978-4204-bdbd-d1cb539bdd2d","resolution":{"observed_at":"2026-08-11T05:52:42.561210Z","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":"2026-08-11T05:52:42.820981Z","title":"The 2017 davis challenge on video object segmenta- tion,","venue":null,"work_id":"72c38970-761f-4957-a323-09be741631b2","year":2017},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.566513Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:9e90eca6f13db4f7cbf4ee4440d171c9aae83a0572aec5f7a1fa839f4333ea41","observation_id":"c407aa53-7c1d-49f2-abde-28565d43385e","resolution":{"observed_at":"2026-08-11T05:52:42.827851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.800903Z","title":"Ucf101: A dataset of 101 human actions classes from videos in the wild,","venue":null,"work_id":"42c0a4d0-1726-4e6e-b545-841440da18c7","year":2012},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.574025Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:d458d7adc9d2793e88a63d763838383ece547e6e0e711ea0ce55e1b5912a3483","observation_id":"b15f63d6-5fbf-4da5-a995-bc0f2ea78c92","resolution":{"observed_at":"2026-08-11T05:52:42.807226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.778842Z","title":"The unreasonable effectiveness of deep features as a perceptual metric,","venue":null,"work_id":"6408ac1f-1d23-46d7-93f5-4c6367217531","year":2018},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.579793Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:591afff1b2df98b43a39d4435c41f5a1b354020df85817600d4b66e014bbeed0","observation_id":"39da70c5-2e9d-471d-844b-4a834e3aa89b","resolution":{"observed_at":"2026-08-11T05:52:42.786402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.753599Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium,","venue":null,"work_id":"108bb822-90db-462a-8d32-309a25a8ba23","year":2017},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.585087Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:6c3adda59361179521354d196e7d0dabb34154f76bbf4e9a17dcc27f2b1907b5","observation_id":"33113146-270f-4482-b618-59eb3305b625","resolution":{"observed_at":"2026-08-11T05:52:42.761107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-11T05:52:42.727893Z","title":"On the content bias in fr ´echet video distance,","venue":null,"work_id":"3de4b3d4-ea67-4534-ba01-d29b6c4c3c03","year":2024},"citing_paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T05:52:42.590426Z"},"links":{"citing_paper":"/paper/2412.17042"},"observation_digest":"sha256:12a5fb64c22504ee9bad969b54df8ca6a9d2fa5cb26b931ca7f1da4c698e339c","observation_id":"3cff81f7-5900-40a4-aea1-388804dad26c","resolution":{"observed_at":"2026-08-11T05:52:42.736746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.17042","last_updated":"2025-02-17T05:13:09Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T16:46:08.867236Z","submitted_at":"2024-12-22T14:49:55Z","title":"Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":37},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2412.17042."}