{"as_of":"2026-08-23T09:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2bb63ec7e3d3aab2b3a3604fa111e38fbeee7f34a997ffb572dafce1e26ef9f4","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T10:48:20.340672Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:53:15.048795Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T13:52:47.339731Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00111","snapshot_observed_at":"2026-08-16T10:53:15.048795Z","title":"Video set distillation: Information di- versification and temporal densification","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.17132","last_updated":"2025-04-25T19:01:01Z","snapshot_observed_at":"2026-08-18T01:51:02.558114Z","submitted_at":"2025-04-23T22:50:39Z","title":"Latent Video Dataset Distillation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T10:53:15.048795Z"},"links":{"cited_paper":"/paper/2412.00111","citing_paper":"/paper/2504.17132"},"observation_digest":"sha256:4e9859024af9d14f3892acaedfb2062153c949419004032c4a7f18be16703254","observation_id":"0abf64b7-2c61-410c-907a-47ea77b49a8a","resolution":{"observed_at":"2026-08-16T10:53:15.048795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"cited_work":{"arxiv_id":"2412.00111","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.00111","snapshot_observed_at":"2026-08-07T13:52:47.339731Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","venue":"cs.CV","work_id":"1070d10d-35ec-40cf-bf19-1ec305ffb650","year":2024},"citing_paper":{"arxiv_id":"2505.20694","last_updated":"2025-05-27T04:02:57Z","snapshot_observed_at":"2026-08-17T15:23:01.798780Z","submitted_at":"2025-05-27T04:02:57Z","title":"Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:52:46.479567Z"},"links":{"cited_paper":"/paper/2412.00111","citing_paper":"/paper/2505.20694"},"observation_digest":"sha256:e60e7fe792d9aad5d9b5fa734990d85536f12651aa3aef53b864fcd57800ae30","observation_id":"bf326d9a-9a10-438c-a3d8-561afef86ab4","resolution":{"observed_at":"2026-08-07T13:52:47.399911Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.00111/citation-record","integrity":"/paper/2412.00111/integrity","json":"/paper/2412.00111/citation-record.json","paper":"/paper/2412.00111"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:48:20.736036Z","title":"Quo vadis and action recognition? a new model and the kinetics dataset","venue":null,"work_id":"5f47089e-ac8e-4e4c-9420-257c8ac79303","year":null},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.226413Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:05a092c626746d59d0407f7fd8e897eb519ef0d83a06c6a176aec778748ab7f5","observation_id":"4d18eaad-a4fc-4fa5-b406-fc9c5bd4dc25","resolution":{"observed_at":"2026-08-12T10:48:20.740867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.719763Z","title":"Dataset distillation by matching training trajectories","venue":null,"work_id":"5b5e1abc-826f-4979-b52f-ad4a1229fa08","year":2022},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.231519Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:9b01f1eede0040372752ffa48d1cd9c1f829e7fd05552bfa93c77533bbdc9de6","observation_id":"987b3b03-94c6-477c-b7bd-b3e77d719c88","resolution":{"observed_at":"2026-08-12T10:48:20.726006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.704060Z","title":"Scal- ing up dataset distillation to imagenet-1k with constant mem- ory","venue":null,"work_id":"611cce89-8be7-4598-b8a4-77ce8d3341da","year":2023},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.236214Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:56cabe948525623a3abd35ddbccc5d0a47b4f3b8c71e5eb5f86919796005c550","observation_id":"31bf1c9b-8361-4a75-990a-4e6541fbde27","resolution":{"observed_at":"2026-08-12T10:48:20.709159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.689432Z","title":null,"venue":null,"work_id":"148ea063-cef3-4263-aa50-b316a620bbfb","year":2000},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.240900Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:4ed368e7798c18f322a65c8bf5712069bd5b0ca1f5bd5a90aa9d2212c94902db","observation_id":"d5fe55a8-a5ae-4dd5-93e5-dfc03f5d23d6","resolution":{"observed_at":"2026-08-12T10:48:20.694076Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.672210Z","title":"Spatiotemporal residual networks for video action recogni- tion","venue":null,"work_id":"276b29aa-1bf5-4451-b794-b1d8046021ca","year":2016},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.245628Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:3c9cd145b1dc08157fa7f2eac4295ca87f91d3f93949f98f468985b6624b8beb","observation_id":"23258639-2d2f-46bd-a64d-9d88515ee1ec","resolution":{"observed_at":"2026-08-12T10:48:20.677153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.657014Z","title":"Slowfast networks for video recognition","venue":null,"work_id":"210214ac-f8fb-4bbd-a3f4-55358b78e46c","year":2019},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.250231Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:e1a0647cff36d467d2d629b0ea49a464779eda6aada01b7d636263de8a30e8ed","observation_id":"56c3f631-b4df-4af8-9e86-813828e42cf7","resolution":{"observed_at":"2026-08-12T10:48:20.661676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.642533Z","title":"The ”something something” video database for learning and evaluating visual common sense","venue":null,"work_id":"b2b6a6b9-caf1-4760-a756-cda5022db57a","year":2017},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.254755Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:f9d93f0611e212d7914236c6d0bb62b7b22d28a7d3c431b4f1e646733c6ccd2a","observation_id":"a02fa530-4d0f-41f7-b5e5-8523abc3b6bf","resolution":{"observed_at":"2026-08-12T10:48:20.647441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.259661Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.259661Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:15702d99cc2cfbca720525e224a20a8b9ba28430cdd2d9df50a491a422d0c656","observation_id":"54af90f9-3b02-417f-af9b-b4981cc54345","resolution":{"observed_at":"2026-08-12T10:48:20.259661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:48:20.264280Z","title":"Large-scale video classification with convolutional neural networks","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.264280Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:e5aa32f54e5bb1cd4681ca13b61b6ce224f8dd049fe6958391b39e787b6101f8","observation_id":"4d758320-a487-4d6f-917a-7f391ba11a61","resolution":{"observed_at":"2026-08-12T10:48:20.264280Z","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":"2026-08-12T10:48:20.608290Z","title":"Kuehne, H","venue":null,"work_id":"b65d9086-efd9-4080-b43f-622c148105b8","year":2011},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.268851Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:d57b0c1be80724ab556d70b423fa22ec78c6136242f08b3edfad15d6519bfa61","observation_id":"39f3ee9c-4dcd-4fc1-8068-6810a190ff36","resolution":{"observed_at":"2026-08-12T10:48:20.613093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08448","last_updated":"2021-04-17T04:54:54Z","snapshot_observed_at":"2026-08-19T19:03:24.327144Z","submitted_at":"2021-04-17T04:54:54Z","title":"Data Distillation for Text Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08448","snapshot_observed_at":"2026-08-12T10:48:20.273205Z","title":"Data distillation for text classifica- tion","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.273205Z"},"links":{"cited_paper":"/paper/2104.08448","citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:6ddab6e1b0081bb932a183fd9ca54ab57f4561f32c48306520bdc24918ab93a4","observation_id":"b7371611-d7d3-4d65-bb62-2d1a94da21e3","resolution":{"observed_at":"2026-08-12T10:48:20.273205Z","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":"2026-08-12T10:48:20.592885Z","title":"Herding dynamical weights to learn","venue":null,"work_id":"6f14406b-3c95-46fb-a609-b0208463cf49","year":null},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.277897Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:868f731c61ec47244e9bbbb2c7c905a1ae7f36907a5f875a1f3c2fb03ffa5cb9","observation_id":"927726c6-f246-460b-8cf8-3e86d5679d1f","resolution":{"observed_at":"2026-08-12T10:48:20.598070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.578516Z","title":"Active learning for con volutional neural networks: A core-set approach","venue":null,"work_id":"9fd7a68b-b18f-4ef3-a39f-4b751f30678d","year":null},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.282484Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:31cb04c28f4bab3c5cb7c4123b9a7159407a2b11a51b736d1a549f1fb9e7e0a6","observation_id":"879e59ea-2f0b-44db-b493-347645d5625d","resolution":{"observed_at":"2026-08-12T10:48:20.583334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.564770Z","title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","venue":null,"work_id":"174a0000-b055-4491-95c2-fe55dea3c7ef","year":2012},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.286831Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:3937a9bf8a8e748e5ef0d207d12eb5a3f69299cd304323d219bac33d76065451","observation_id":"df2c9619-e6bb-4679-ada5-1dc8836429a9","resolution":{"observed_at":"2026-08-12T10:48:20.569336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.550376Z","title":"On the diversity and realism of distilled dataset: Anefficient dataset distilla- tion paradigm","venue":null,"work_id":"600a3037-f914-48d5-ae6f-95387033f27c","year":2024},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.291127Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:e10f084ebe1ee4d69b2f95a2fbd065cf2df8e4eb74d535bfdc3832086fb7d808","observation_id":"57320e53-f82b-4697-ab2a-0e0cce3c28fc","resolution":{"observed_at":"2026-08-12T10:48:20.555113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.535794Z","title":"Learning spatiotemporal features with 3d convolutional networks","venue":null,"work_id":"08628511-5f48-4288-8449-dfe471b9b1c5","year":2015},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.295329Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:ed74d6a242b9c6d4bfd7eefa15a697b8f9a1749bac436f7b89c2b408d53068ee","observation_id":"42bd8444-6cd2-48c5-aa43-03d3ef44c91d","resolution":{"observed_at":"2026-08-12T10:48:20.540671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.520884Z","title":"Cafe: Learning to condense dataset by aligning features","venue":null,"work_id":"206ab224-fd3b-4b7b-b992-0de2cc52d14a","year":2022},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.299679Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:d799aef2789567e6631d63e71f51e52e3515efe17ca8460b08d84f89c3efa8bf","observation_id":"5074fdbd-83fa-43f4-a6fa-6e98f5eb8aaa","resolution":{"observed_at":"2026-08-12T10:48:20.525668Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.10959","last_updated":"2020-02-24T23:25:50Z","snapshot_observed_at":"2026-08-18T06:11:01.992422Z","submitted_at":"2018-11-27T13:17:45Z","title":"Dataset Distillation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.10959","snapshot_observed_at":"2026-08-12T10:48:20.303918Z","title":"Dataset distillation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.303918Z"},"links":{"cited_paper":"/paper/1811.10959","citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:e53291c34a70d6fee6c7735a59c046ae115c9de22dee85c49112cf70decaee91","observation_id":"3d09d48b-ee48-4d43-8ed3-617c08020fcd","resolution":{"observed_at":"2026-08-12T10:48:20.303918Z","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":"2026-08-12T10:48:20.505945Z","title":"Dancing with still images: Video distillation via static-dynamic dis- entanglement","venue":null,"work_id":"0d3b0146-60bb-4cac-a4b3-5319bfb52e2c","year":2024},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.308910Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:f8dbe0c82c8f6cbf9bedaa4790105bf9bb76847e3689d02f27b444cbba007f44","observation_id":"d728facc-f689-4a50-bc93-8951c0ff9ddc","resolution":{"observed_at":"2026-08-12T10:48:20.510954Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.07545","last_updated":"2024-08-20T14:59:55Z","snapshot_observed_at":"2026-08-16T15:08:28.959631Z","submitted_at":"2023-08-15T03:22:40Z","title":"Vision-Language Dataset Distillation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.07545","snapshot_observed_at":"2026-08-12T10:48:20.313118Z","title":"Multi- modal dataset distillation for image-text retrieval","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.313118Z"},"links":{"cited_paper":"/paper/2308.07545","citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:604a32ba59847199bf0e20c058c0f3eef61e65359bcce0819fb63efdc7fc8671","observation_id":"12853bee-d7b2-41f8-97e8-e48cfaf28ea4","resolution":{"observed_at":"2026-08-12T10:48:20.313118Z","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":"2026-08-12T10:48:20.490837Z","title":"Dataset pruning: Reducing training data by ex- amining generalization influence","venue":null,"work_id":"49e6fdb4-7e0b-4eb1-a747-5d3b2ac87f56","year":2000},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.317704Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:d65badbb9618dfd0ad87531aaaa20fb45b3b7eb7d726164685d608aa40edf5ad","observation_id":"12b59358-fb25-4b40-8b92-5c46094055be","resolution":{"observed_at":"2026-08-12T10:48:20.496053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.475187Z","title":"Squeeze and recover and relabel: Dataset condensation at imagenet scale from a new perspective","venue":null,"work_id":"4750ebce-73c2-4aab-a9c3-8036854d9774","year":2023},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.322173Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:734773bd4404dacf3ecc9ad1557cbcf726ee452df1e6ce2bb23b2c3c6c77f089","observation_id":"8262546e-08bc-42d8-a4e5-9755017351bc","resolution":{"observed_at":"2026-08-12T10:48:20.480438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.460749Z","title":"Dataset condensation with distri- bution matching","venue":null,"work_id":"63799cda-19e2-433d-91c7-7115c352d7c0","year":2023},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.326722Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:1f3a5f036dadd717731274ac3fa6c70ba6578b39c79618a83d78bd16baf3e6d9","observation_id":"3f0f7cda-2aff-40b6-8a66-c1b7d6589167","resolution":{"observed_at":"2026-08-12T10:48:20.465436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.446344Z","title":"Dataset condensation with gradient matching","venue":null,"work_id":"e88ba497-5a5f-4d80-8945-d40586f4b99f","year":2021},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.330953Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:d7d44824243e930060e8473a9c9f1de5f980a92197859d96bf27abc95deb97e3","observation_id":"93c19220-3fd5-47f5-b2fb-b31eef27c44d","resolution":{"observed_at":"2026-08-12T10:48:20.450867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.431007Z","title":"Im- proved distribution matching for dataset condensation","venue":null,"work_id":"37671bd4-cfa1-4795-b574-26fe9520e55a","year":2023},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.336250Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:4d677208b66144512148ef8171c322ee53862358a1634db82759c208912beac2","observation_id":"e7771bf6-e5bf-4e9d-97fc-b149d7146930","resolution":{"observed_at":"2026-08-12T10:48:20.436137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-12T10:48:20.414100Z","title":"Dataset distillation using neural feature regression","venue":null,"work_id":"04e4fb76-16d9-4373-bfc7-6645a0bc6455","year":2022},"citing_paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T10:48:20.340672Z"},"links":{"citing_paper":"/paper/2412.00111"},"observation_digest":"sha256:787132e15850047349b643bc5817059062d4f943d9f29476a6ca36a0693987aa","observation_id":"31fabd29-49b9-427c-8e16-2fbd56c841d1","resolution":{"observed_at":"2026-08-12T10:48:20.420555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.00111","last_updated":"2024-11-28T05:37:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T14:10:21.088804Z","submitted_at":"2024-11-28T05:37:54Z","title":"Video Set Distillation: Information Diversification and Temporal Densification"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":26},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2412.00111."}