{"as_of":"2026-08-08T01:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:080cae4e5653535a0649971102b8589e67898eaec722f0625646e26e34b14232","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:58:53.578778Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2508.20709/citation-record","integrity":"/paper/2508.20709/integrity","json":"/paper/2508.20709/citation-record.json","paper":"/paper/2508.20709"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:55.264117Z","title":"Mediamakersmeet.com (2022), https://mediamakersmeet.com","venue":null,"work_id":"e5661279-77bb-4abc-8e2d-7532e6d9ad77","year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:51.593193Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:c354e4437fc09a0c59d5f00b44fe0986a7db85fdf5608701ff335104ef5615f6","observation_id":"e6ff65ec-3030-406a-8321-a0cfa5bf9a14","resolution":{"observed_at":"2026-08-05T14:58:55.267001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.255825Z","title":null,"venue":null,"work_id":"985931c0-7bfd-4cb6-be61-ca86e4877c7a","year":2001},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:51.797433Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:be7d8c2361db4280ee688167b1b91f69d8aec16c419ae5afe4a4f4e984284e01","observation_id":"5474c1f9-c49d-40e4-b5ba-e96c8248a395","resolution":{"observed_at":"2026-08-05T14:58:55.258618Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.31019","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:55.089254Z","title":"IEEE Trans","venue":null,"work_id":"5b8315a4-a814-48dd-8bd1-d41ac896b088","year":2021},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:51.922250Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:2348057cadbb25ce134a8c7083c51bc2e5bd61f97f7f1e44bbbf471321c347a6","observation_id":"3c1596c7-cd57-44c1-9100-4530a42181ed","resolution":{"observed_at":"2026-08-05T14:58:55.093495Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.05382","last_updated":"2023-09-11T11:10:05Z","snapshot_observed_at":"2026-07-06T16:16:53.136732Z","submitted_at":"2023-09-11T11:10:05Z","title":"CANF-VC++: Enhancing Conditional Augmented Normalizing Flows for Video Compression with Advanced Techniques","version":1},"cited_work":{"arxiv_id":"2309.05382","doi":"10.48550/arxiv.2309.05382","metadata_source":"pith","pith_arxiv_id":"2309.05382","snapshot_observed_at":"2026-08-05T18:16:11.560912Z","title":"CANF-VC++: Enhancing Conditional Augmented Normalizing Flows for Video Compression with Advanced Techniques","venue":"cs.MM","work_id":"87180beb-1140-4162-88c6-ce40dab90313","year":2023},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:52.021580Z"},"links":{"cited_paper":"/paper/2309.05382","citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:bbb6559f2bb92edf492a6ff55475b6480525514f018df55e9b031d2f8c1da809","observation_id":"a6edc537-849c-4cbe-acbd-0759f86ec118","resolution":{"observed_at":"2026-08-05T14:58:53.647851Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.01039","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:55.002565Z","title":"In: IEEE Conf","venue":null,"work_id":"c1a48256-7cf4-4c89-9332-c9778749f494","year":2021},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:52.126271Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:ed123ff8ccbfa4e6d146419e437ec82623c1fb09324b20c669ab2a1c8194f0af","observation_id":"58c23188-2ed3-4e8a-bdbf-0ef94ceac8c6","resolution":{"observed_at":"2026-08-05T14:58:55.007150Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:52.275951Z","title":"In: IEEE Conf","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:52.275951Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:2440cad714fa39812a5e19875b9d99a8690322c4d37b82ab714f4019170f8af0","observation_id":"184ef9dd-6745-4178-9c58-cab1d9d2bd79","resolution":{"observed_at":"2026-08-05T14:58:52.275951Z","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":"10.1007/978-3-031-19787-1_12","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:53.629422Z","title":"In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T","venue":null,"work_id":"6b1c16a9-f1a0-4187-9e3c-4f3bbde8601f","year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:52.403334Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:4f33f77856b3d1cd68582b2135dd91ba11f1814a483b7aaa4f25f60b36a43e18","observation_id":"79336da0-9de3-4e7c-9abc-0a8cda7ce550","resolution":{"observed_at":"2026-08-05T14:58:53.633170Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.247474Z","title":"In: IEEE Conf","venue":null,"work_id":"20fc0718-4716-4933-b487-d8d777af49fd","year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:52.528934Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:4e6283dfaf1686b0cd5443e178c02d5bdb28b70ad5d6858fb55765c2ec5cd10f","observation_id":"d5cfd98a-3e40-4398-99b0-e521f4b96824","resolution":{"observed_at":"2026-08-05T14:58:55.250232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.238568Z","title":"In: IEEE International Work- shop on Multimedia Signal Processing","venue":null,"work_id":"1d50eee9-be27-412c-aea3-cff0c3735e78","year":2020},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:52.762046Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:148affe63872a0ac7b843ae93bf7c25e9bbf2b4d1fe9c5fa770b6df918df5ce5","observation_id":"2b793872-e1cc-4307-ba10-f5a0bf379b30","resolution":{"observed_at":"2026-08-05T14:58:55.241612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2014.23365","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:54.811268Z","title":"IEEE Trans","venue":null,"work_id":"874a316b-7586-4e8a-9733-3b02587c0b03","year":2014},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:52.873199Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:2c225a21401e666966664bf58cfbe8755c256c8b8ecd2eb279e56dddba571423","observation_id":"b66ec964-a3ba-4368-a2d7-35d02f6d56f4","resolution":{"observed_at":"2026-08-05T14:58:54.815545Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.230467Z","title":null,"venue":null,"work_id":"645764e9-de05-4aa8-9484-6199d1eee912","year":2021},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:52.998733Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:9fd8d40b06e12978b8a13aa90df6f35e5e6379d9754d8c865881c4086a5ddb5e","observation_id":"e947b82b-2205-44bb-8523-30c2232897a9","resolution":{"observed_at":"2026-08-05T14:58:55.233166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3161.35478","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:54.745381Z","title":"https://doi","venue":null,"work_id":"4c9d8e91-bb9d-4d54-b81b-46176f0e53c9","year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.158072Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:4059aa07e0c6c3cce30d3e1098c4c02dd6fd0ab996635f5d6912bacbef696a24","observation_id":"3e1f6469-15fd-4c77-b8e1-a6dbe298bc04","resolution":{"observed_at":"2026-08-05T14:58:54.750164Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:53.427124Z","title":"In: ICASSP","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.427124Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:93820d02b309877f83c90fcfb2a5d6c22dc9730821466a9cb608805d76db0924","observation_id":"12afd3b7-4a6f-48b9-8210-d7654b587940","resolution":{"observed_at":"2026-08-05T14:58:53.427124Z","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":"2026-08-05T14:58:53.481206Z","title":"In: IEEE Conf","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.481206Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:e6656ee72d9c42ccbc2f65aa12de5db697b4a745fb4ace06878f462a1b191172","observation_id":"b71aed08-5daa-418c-9c8d-0f6a8e4bfd23","resolution":{"observed_at":"2026-08-05T14:58:53.481206Z","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":"2026-08-05T14:58:53.484275Z","title":"In: IEEE Int","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.484275Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:c203fb72b58eb507c97071f321988e2551fd1cbcdec75bcfbf9e85048f3cb3cc","observation_id":"687d4eac-8a95-45b6-9abb-2fccd9fbe644","resolution":{"observed_at":"2026-08-05T14:58:53.484275Z","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":"2010.56533","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:54.522658Z","title":"In: IEEE Int","venue":null,"work_id":"00706ce9-9e18-40b2-86fa-5144f7c1e353","year":2010},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.505268Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:0e719d49cdbd2d97a84c4a0a23c90d43434d6ea8d059a2488775afe48d999a70","observation_id":"e1a49d40-6261-4e90-add3-cad38765a3bb","resolution":{"observed_at":"2026-08-05T14:58:54.526655Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:53.508796Z","title":"In: IEEE Conf","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.508796Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:ef6b557753eb75c3f720199bc39a08dbaa43a90f08259610bd0e758a45cb27fa","observation_id":"247dbeaa-59b6-4c42-abc5-d9f214deac96","resolution":{"observed_at":"2026-08-05T14:58:53.508796Z","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":"2005.85730","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:54.374227Z","title":"IEEE Trans","venue":null,"work_id":"f1de1942-9f47-416b-839d-5a646bcfd5d2","year":2005},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.511583Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:4fb2d5b37ff573d8491cbc5bc87fc9e0f0b7a88992a2153ac8c0dfb3bc1c035c","observation_id":"338876ec-3625-4848-af2c-d63d5211cad4","resolution":{"observed_at":"2026-08-05T14:58:54.378531Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:53.515338Z","title":"In: Toni, L., Begen, A.C., Alay, Ö., Timmerer, C","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.515338Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:9a719b45ec1cb504ddec9dfec4c9bf573afe122b53ac9a501de41f9229165ec9","observation_id":"7054c8b6-0df8-400d-aabb-084bc62c3daf","resolution":{"observed_at":"2026-08-05T14:58:53.515338Z","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":"2026-08-05T14:58:53.518120Z","title":"In: IEEE Int","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.518120Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:cb6a0352df1e83f8797a88839108503553d7af6000f9d9f229fbea23d5a3db08","observation_id":"1f58db7f-ff55-4b7d-a9e7-5ebaef8caae7","resolution":{"observed_at":"2026-08-05T14:58:53.518120Z","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":"2022.32204","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:54.077778Z","title":"IEEE Trans","venue":null,"work_id":"7acb2564-690c-4c0d-9e23-0ca49bf5ec56","year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.526702Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:9264366a9a764891ac4bb47459611d45f35a088ef40f2b39a1ee305412301179","observation_id":"02ff594d-f8d8-4d2e-af30-e52ee44624e3","resolution":{"observed_at":"2026-08-05T14:58:54.081841Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.221354Z","title":null,"venue":null,"work_id":"45dbd364-03a7-4a7c-96c0-bc577a6cd471","year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.529644Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:f49f3d070eede4a0247f81934821116522fc89156432b90c1d6dd2decc80a688","observation_id":"7db42278-9bce-4db7-bdf7-aed5cd0529c7","resolution":{"observed_at":"2026-08-05T14:58:55.224454Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:53.533042Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.533042Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:838c637eff8b6e504ac42707e042fc69b045f15363b5153bb675a8edab84d2b9","observation_id":"a587aa65-ec90-486e-ae01-a2e68e436049","resolution":{"observed_at":"2026-08-05T14:58:53.533042Z","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":"2026-08-05T14:58:53.536038Z","title":"IEEE Trans","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.536038Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:b1ddbc7b0184efdc0e5d149761e44dd798dffa0a456948bb769c739a1569eef1","observation_id":"1d19c6ce-0409-4591-9bb6-7b6acf0d1d9a","resolution":{"observed_at":"2026-08-05T14:58:53.536038Z","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":"2026-08-05T14:58:53.538916Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.538916Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:77fb4a0cf1240909a2a7dadb67c846244b7d7099b8a9a28ae7f94335d87da268","observation_id":"1f2db1f6-6779-4ee3-969d-7dbb2d716702","resolution":{"observed_at":"2026-08-05T14:58:53.538916Z","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":"10.1007/978-3-030-01246-5_1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:53.617458Z","title":null,"venue":null,"work_id":"be500a4e-7947-4f49-b3da-14b7e8cb0dbf","year":2018},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.543134Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:d0874f44e6ab2b1eb1e22266d06f6718baebd74635f77309625bad0c9498c7c1","observation_id":"0fb3ef43-7fab-4353-84e1-e27994de25cf","resolution":{"observed_at":"2026-08-05T14:58:53.621896Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:53.546485Z","title":"In: IEEE Conf","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.546485Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:2fcb3882eb68cfb7fc7b349dcaa7f890f6cb94502799279e62aaae6fa00ac5b2","observation_id":"951b545d-86a3-46a9-8304-1029ac07c2ad","resolution":{"observed_at":"2026-08-05T14:58:53.546485Z","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":"2003.81516","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:53.868236Z","title":"IEEE Trans","venue":null,"work_id":"b7316cc1-a213-49c2-a0f9-6a1e96a37e06","year":2003},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.553854Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:11dcd5bea9a30b0753599a266071b324474a8b4e1c42ce689f9c96ca18fa1902","observation_id":"258f0c23-dc79-480e-a6fe-0e44050f5be8","resolution":{"observed_at":"2026-08-05T14:58:53.874345Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.212560Z","title":"In: IEEE Conf","venue":null,"work_id":"81c1d083-4681-4273-ae2b-4caf6d9882d3","year":1926},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.556917Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:6fab27a6f32aa4fc857d2b0d15bd3f854dc895fa8fe965fb96d8bb757d0077f0","observation_id":"152152fc-eb41-44d6-b8aa-e9d7a325b831","resolution":{"observed_at":"2026-08-05T14:58:55.215194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.204090Z","title":"In: Krause, A., Brunskill, E., Cho, K., Engelhardt, B., Sabato, S., Scarlett, J","venue":null,"work_id":"04b40d1b-4bae-4f86-9873-8588bedf8afb","year":2023},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.560639Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:a4416e6ef0eca5b26c2a17058b8bebebaa77f4e49a999965ca48d0aab03c64f7","observation_id":"211f34d0-fd9b-4d94-9761-440c77b85099","resolution":{"observed_at":"2026-08-05T14:58:55.207229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:53.563869Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.563869Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:50c0ac26b116519a177a0fd200659823c2455db212f2dad930097c8646f0e3bb","observation_id":"5d9c01df-b637-4263-b7b1-66e074b04013","resolution":{"observed_at":"2026-08-05T14:58:53.563869Z","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":"2023.11988","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T14:58:53.780599Z","title":null,"venue":null,"work_id":"045bbc56-3e24-43fd-aeed-28561390b316","year":2024},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.566916Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:35427b2dfde010a59f66929ba2317f5dcc6dcf077926bd70945848563eac59a1","observation_id":"b378a8d5-7691-464d-8198-554012342e76","resolution":{"observed_at":"2026-08-05T14:58:53.785939Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.195257Z","title":"In: IEEE Conf","venue":null,"work_id":"4e93993a-1029-4109-9e77-e3c84d9b63c8","year":2021},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.569923Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:df6c202924e5836094cc01d6382785dbffcd7c7a9405642b7d2c6e3f9f8241f3","observation_id":"9c5a6918-9a06-4571-936d-5423f1b794f0","resolution":{"observed_at":"2026-08-05T14:58:55.198374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.186726Z","title":"IEEE Trans","venue":null,"work_id":"d592f80d-e88f-460e-91c2-6ce6b0e4d666","year":2023},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.572911Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:13a82c3d13d576cc89a7aa624cf123edaa5040caa072e74cf12c5aa2975e1259","observation_id":"5d1ea2d0-3f4b-45fa-8034-164cfa408e3d","resolution":{"observed_at":"2026-08-05T14:58:55.189393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:55.178506Z","title":"In: AAAI","venue":null,"work_id":"3e323e08-5447-4d11-a563-1d6d8b55769b","year":2024},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.575993Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:f5c7bc9a4bfc03eed810dac35234e1d36518a22468eb22789807308caaab7c74","observation_id":"a8ad216d-a1fc-4be9-a449-aac1b1acfb7c","resolution":{"observed_at":"2026-08-05T14:58:55.181247Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T14:58:53.578778Z","title":"In: IEEE Int","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T14:58:53.578778Z"},"links":{"citing_paper":"/paper/2508.20709"},"observation_digest":"sha256:3c63cacdc1fdb147be507e2c72c3f526efe47a6fdbb22c7205f78c7e028d5eaf","observation_id":"11df085c-a7e3-47ab-91f6-548f737cebd5","resolution":{"observed_at":"2026-08-05T14:58:53.578778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.20709","last_updated":"2025-08-28T12:27:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T22:35:20.830059Z","submitted_at":"2025-08-28T12:27:23Z","title":"Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":8,"parse_uncertain":0,"unresolved":16,"verified_exact":4,"verified_fuzzy":8},"total_outbound_references":36},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.20709."}