{"as_of":"2026-08-09T06:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8d7630fe23e5789e77c2e1968a036af30d932b600cd5171d4ca8ff88c627b455","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:51:58.251948Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T15:17:07.354594Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":"2209.06430","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-07-02T15:17:07.354594Z","title":"Clip-vip: Adapting pre-trained image-text model to video-language representa- tion alignment","venue":null,"work_id":"20598b23-60e1-424f-92e5-4895c59d85f0","year":2022},"citing_paper":{"arxiv_id":"2505.06907","last_updated":"2026-05-18T08:23:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-11T08:57:53Z","title":"A Survey on Foundation Models for Personalized Federated Intelligence","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-22T15:32:15.293888Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2505.06907"},"observation_digest":"sha256:0483c011a07dd00fca0b6a69120e4916e16f330f01ab9194d3dd44b338a183df","observation_id":"8658039f-ff8d-44e3-b8bb-05a068784109","resolution":{"observed_at":"2026-05-22T15:34:57.747854Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-08-06T21:51:58.251948Z","title":"Clip- vip: Adapting pre-trained image-text model to video- language representation alignment","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.23283","last_updated":"2025-06-29T15:14:55Z","snapshot_observed_at":"2026-08-08T07:28:03.599688Z","submitted_at":"2025-06-29T15:14:55Z","title":"MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T21:51:58.251948Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2506.23283"},"observation_digest":"sha256:4e455c3c56886ab0efa6f30007925178d35bcb64a7f589ec43f026a58fcd4ee6","observation_id":"7d526405-4e77-4079-a62e-68b17786e9ee","resolution":{"observed_at":"2026-08-06T21:51:58.251948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-08-06T20:37:07.541908Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.02316","last_updated":"2025-07-03T05:01:46Z","snapshot_observed_at":"2026-08-08T00:48:21.298527Z","submitted_at":"2025-07-03T05:01:46Z","title":"Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:07.541908Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2507.02316"},"observation_digest":"sha256:0532a3ecbe2e98b9f05c899f1a0e77a372365177efa55a28541ca6c824bee34a","observation_id":"d61d9329-9b4b-4dd8-8ca8-50718ab3065b","resolution":{"observed_at":"2026-08-06T20:37:07.541908Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-08-06T14:36:29.684895Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.18531","last_updated":"2025-07-24T15:58:36Z","snapshot_observed_at":"2026-08-07T22:13:34.998544Z","submitted_at":"2025-07-24T15:58:36Z","title":"IntentVCNet: Bridging Spatio-Temporal Gaps for Intention-Oriented Controllable Video Captioning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T14:36:29.684895Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2507.18531"},"observation_digest":"sha256:6645822b59cf35559de022b71a644fd68d37f0efb056956ff48ccfd6bda97cb5","observation_id":"68df01c5-db36-4869-a1ba-cc133ae62b8f","resolution":{"observed_at":"2026-08-06T14:36:29.684895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":"2209.06430","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-07-02T15:17:07.354594Z","title":"Clip-vip: Adapting pre-trained image-text model to video-language representa- tion alignment","venue":null,"work_id":"20598b23-60e1-424f-92e5-4895c59d85f0","year":2022},"citing_paper":{"arxiv_id":"2508.06964","last_updated":"2026-04-12T08:38:14Z","snapshot_observed_at":"2026-08-06T08:43:14.125473Z","submitted_at":"2025-08-09T12:20:13Z","title":"Adversarial Video Promotion Against Text-to-Video Retrieval","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-19T00:05:07.182361Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2508.06964"},"observation_digest":"sha256:ecd5aca4d3ceb1900de0da7966ca6fde103d3103aee22e1b6fccfe7e5c723be5","observation_id":"20ca38b7-a66a-469a-9522-af7642c6a203","resolution":{"observed_at":"2026-05-19T00:06:55.131999Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-08-05T18:50:58.254722Z","title":"Clip-vip: Adapting pre- trained image-text model to video-language representation alignment","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.14039","last_updated":"2025-08-19T17:59:39Z","snapshot_observed_at":"2026-08-07T22:13:38.773516Z","submitted_at":"2025-08-19T17:59:39Z","title":"Beyond Simple Edits: Composed Video Retrieval with Dense Modifications","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T18:50:58.254722Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2508.14039"},"observation_digest":"sha256:253f3903c0c6746d8f3b4059993022a8422d0216a53a8cc67551be3414705722","observation_id":"31c97ae3-2ec7-4ac8-b0bc-0bd617d8d8d7","resolution":{"observed_at":"2026-08-05T18:50:58.254722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":"2209.06430","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-07-02T15:17:07.354594Z","title":"Clip-vip: Adapting pre-trained image-text model to video-language representa- tion alignment","venue":null,"work_id":"20598b23-60e1-424f-92e5-4895c59d85f0","year":2022},"citing_paper":{"arxiv_id":"2512.13511","last_updated":"2026-05-01T11:23:38Z","snapshot_observed_at":"2026-07-06T22:39:04.164003Z","submitted_at":"2025-12-15T16:38:59Z","title":"Adapting MLLMs for Nuanced Video Retrieval","version":3},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-16T22:20:09.051957Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2512.13511"},"observation_digest":"sha256:a2a9d77e0f3f3f085ca46901892e653aae4702d4b4cf83db2b2c8bf7c51984c6","observation_id":"56d93407-97c0-4006-adbd-0514b02ba657","resolution":{"observed_at":"2026-05-16T22:21:18.941379Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-07-13T21:37:55.887477Z","title":"Clip-vip: Adapting pre- trained image-text model to video-language representation alignment.arXiv preprint arXiv:2209.06430, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.20190","last_updated":"2026-06-09T22:16:34Z","snapshot_observed_at":"2026-08-04T20:13:17.293244Z","submitted_at":"2026-03-20T17:59:25Z","title":"CoVR-R:Reason-Aware Composed Video Retrieval","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-13T21:37:55.887477Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2603.20190"},"observation_digest":"sha256:6aec53475fc0c3ce08b91ea55adc08d47a64d77df15f877e290b0ea363d0eabd","observation_id":"de5b80b0-bbc7-4067-a663-182999067c1c","resolution":{"observed_at":"2026-07-13T21:37:55.887477Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":"2209.06430","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-07-02T15:17:07.354594Z","title":"Clip-vip: Adapting pre-trained image-text model to video-language representa- tion alignment","venue":null,"work_id":"20598b23-60e1-424f-92e5-4895c59d85f0","year":2022},"citing_paper":{"arxiv_id":"2607.00446","last_updated":"2026-07-01T04:59:24Z","snapshot_observed_at":"2026-08-07T03:42:44.309453Z","submitted_at":"2026-07-01T04:59:24Z","title":"VideoSearch-R1: Iterative Video Retrieval and Reasoning via Soft Query Refinement","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-02T15:09:47.855795Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2607.00446"},"observation_digest":"sha256:25b9ff96e5b5cdb001d673f49fd4dfbf459d5b61584c6ddda433e2fc28c3ffbf","observation_id":"22e6ccf5-b049-414e-b36a-35f80997fd69","resolution":{"observed_at":"2026-07-02T15:17:07.356298Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-07-11T08:55:44.783824Z","title":"arXiv preprint arXiv:2209.06430 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05093","last_updated":"2026-07-07T12:28:04Z","snapshot_observed_at":"2026-08-07T19:48:52.346719Z","submitted_at":"2026-07-06T13:52:46Z","title":"Video-Text Temporal Localization via Multi-Scale Convolution and Dynamic Routing","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-11T08:55:44.783824Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2607.05093"},"observation_digest":"sha256:0d04400dad519f62862a7df27acb769251df6b1ce8d76d619f7a24aec030411e","observation_id":"7c807420-93b1-4ad1-948b-697b97b30293","resolution":{"observed_at":"2026-07-11T08:55:44.783824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.06430","snapshot_observed_at":"2026-08-01T03:02:42.840512Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26097","last_updated":"2026-08-04T07:44:31Z","snapshot_observed_at":"2026-08-07T23:09:38.098036Z","submitted_at":"2026-07-28T03:54:27Z","title":"Knowledge-guided Disentanglement with Atomic Actions for Action Recognition","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T03:02:42.840512Z"},"links":{"cited_paper":"/paper/2209.06430","citing_paper":"/paper/2607.26097"},"observation_digest":"sha256:495f81bdad925bb129a0fd23ef2fc19de6c76db9e4c2338fd36b35fc77af0b93","observation_id":"e0bf0880-0c9a-4610-a8d4-1c18e2e63f2b","resolution":{"observed_at":"2026-08-01T03:02:42.840512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2209.06430/citation-record","integrity":"/paper/2209.06430/integrity","json":"/paper/2209.06430/citation-record.json","paper":"/paper/2209.06430"},"outbound":[],"paper":{"arxiv_id":"2209.06430","last_updated":"2023-03-02T08:24:23Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T22:11:50.819752Z","submitted_at":"2022-09-14T05:47:02Z","title":"CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2209.06430."}