{"as_of":"2026-08-10T08:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d93da080df48a9aef2ae90ef5bba5f62d39f12ff6ff912ad58959c23c3f0c205","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":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:31:42.408928Z","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":"2026-07-03T00:57:30.204945Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2204.14198","last_updated":"2022-11-15T23:07:37Z","snapshot_observed_at":"2026-07-06T13:05:12.350238Z","submitted_at":"2022-04-29T16:29:01Z","title":"Flamingo: a Visual Language Model for Few-Shot Learning","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-12T04:22:30.008355Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2204.14198"},"observation_digest":"sha256:1eb7e0448f54aa598220f3ea11cc82d935bfb7dda34edb04d4a4018944240bb1","observation_id":"066ab485-dc68-4c03-afbd-710371346d83","resolution":{"observed_at":"2026-05-12T04:22:30.252979Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2212.03191","last_updated":"2022-12-07T12:20:55Z","snapshot_observed_at":"2026-07-06T14:27:34.639236Z","submitted_at":"2022-12-06T18:09:49Z","title":"InternVideo: General Video Foundation Models via Generative and Discriminative Learning","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-17T00:36:53.235740Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2212.03191"},"observation_digest":"sha256:4d00f54a684ef1615e044b2a076f9820018d00eb81666bef67acc588d146c358","observation_id":"f1b3dfd1-d7f2-4246-a5ad-9a97e7ede817","resolution":{"observed_at":"2026-05-17T00:36:53.335861Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2303.04671","last_updated":"2023-03-08T15:50:02Z","snapshot_observed_at":"2026-07-06T15:00:13.368355Z","submitted_at":"2023-03-08T15:50:02Z","title":"Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T22:50:24.053411Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2303.04671"},"observation_digest":"sha256:dd14aab21ec3b8ec99dfd7025835d7a5baf564c65e80927280bb10f0c953ea4a","observation_id":"d54d0cf7-6a98-4114-9471-058a461bb26f","resolution":{"observed_at":"2026-05-13T22:50:24.171526Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2305.06355","last_updated":"2024-01-04T02:06:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-10T17:59:04Z","title":"VideoChat: Chat-Centric Video Understanding","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-13T23:30:00.457974Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2305.06355"},"observation_digest":"sha256:e64871d2879c3625281f2c927a8ad7d003d6f85f1fbb262a2a7f906e1f463d42","observation_id":"ab787156-95d0-45d3-be18-1de421898834","resolution":{"observed_at":"2026-05-13T23:30:00.538637Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2307.06942","last_updated":"2024-01-04T05:00:34Z","snapshot_observed_at":"2026-07-06T15:53:46.393481Z","submitted_at":"2023-07-13T17:58:32Z","title":"InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-15T06:30:22.431538Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2307.06942"},"observation_digest":"sha256:8bbf3ea5d154a25313f5dd8ba54370d9c0e22e789c39583d3eca72b68240fa62","observation_id":"62b232a8-918e-44f4-bd7a-45d429e693fb","resolution":{"observed_at":"2026-05-15T06:30:22.623094Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2310.01852","last_updated":"2024-01-22T03:11:15Z","snapshot_observed_at":"2026-08-07T05:10:33.059352Z","submitted_at":"2023-10-03T07:33:27Z","title":"LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment","version":7},"reference_index":189,"source":"arxiv_source","source_observed_at":"2026-05-17T03:27:58.952076Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2310.01852"},"observation_digest":"sha256:98c8a77f9353af37185aceeaf559cf14d1d22acd5051920270dc779400aba764","observation_id":"cc4d57cd-db08-43ab-ae1b-e401303b6ac2","resolution":{"observed_at":"2026-05-17T03:27:59.198100Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2311.17005","last_updated":"2024-05-23T14:49:29Z","snapshot_observed_at":"2026-07-06T16:53:55.269172Z","submitted_at":"2023-11-28T17:59:04Z","title":"MVBench: A Comprehensive Multi-modal Video Understanding Benchmark","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-17T20:22:34.954228Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2311.17005"},"observation_digest":"sha256:cac01f6a2a9bc1a33d81e8d7df5d141e7f012afb8bae413b4eb4e2b398829f34","observation_id":"067cc1fb-e7f2-489f-a50a-ad1df38a4057","resolution":{"observed_at":"2026-05-17T20:22:35.059332Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2502.03814","last_updated":"2026-05-03T03:24:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-06T06:52:14Z","title":"Large Language Models for Multi-Robot Systems: A Survey","version":5},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-23T04:32:05.138744Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2502.03814"},"observation_digest":"sha256:31096c4a372294dd81b7a770ad404066d6323ebc80731b9e7b3fa4399d88b29d","observation_id":"99c967b1-335c-40f3-b66f-b18e8b68e8d1","resolution":{"observed_at":"2026-05-23T04:32:32.110074Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2505.16819","last_updated":"2026-05-19T15:22:52Z","snapshot_observed_at":"2026-08-01T07:12:14.758494Z","submitted_at":"2025-05-22T15:54:42Z","title":"Character-Centered Dialogue Generation from Scene-Level Prompts","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-22T13:31:43.083678Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2505.16819"},"observation_digest":"sha256:c2dedba0acf1c0fb24c91c737fde57ea1ed9f4203f6e0b82ac9c5e79ee69610f","observation_id":"33cddc44-a6fa-4754-a237-163b82c9746b","resolution":{"observed_at":"2026-05-22T13:34:53.708168Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-08-07T05:31:42.408928Z","title":"Violet: End-to- end video-language transformers with masked visual-token modeling","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07886","last_updated":"2025-07-19T15:33:13Z","snapshot_observed_at":"2026-08-10T08:12:33.197302Z","submitted_at":"2025-06-09T15:59:25Z","title":"EgoM2P: Egocentric Multimodal Multitask Pretraining","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:42.408928Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2506.07886"},"observation_digest":"sha256:16258719df461cbfa5971ea1558c5ff7602108aa4535852bc748cbdaa8f4b9b0","observation_id":"505417fb-eae6-4fa0-b2de-e1c0b6e9f9d2","resolution":{"observed_at":"2026-08-07T05:31:42.408928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-08-07T04:40:42.222668Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.09953","last_updated":"2025-06-11T17:23:35Z","snapshot_observed_at":"2026-08-07T09:14:08.520195Z","submitted_at":"2025-06-11T17:23:35Z","title":"Outside Knowledge Conversational Video (OKCV) Dataset -- Dialoguing over Videos","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T04:40:42.222668Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2506.09953"},"observation_digest":"sha256:8e4953ab6c9d270d0b8bfd013ce9f6419f2f929086c8e15ee13d98a02bfaca1b","observation_id":"5093ead1-14f7-42ba-a2bc-e0a2ff8d02f9","resolution":{"observed_at":"2026-08-07T04:40:42.222668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-08-06T22:00:06.142630Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00068","last_updated":"2025-06-28T12:12:06Z","snapshot_observed_at":"2026-08-09T10:41:05.778908Z","submitted_at":"2025-06-28T12:12:06Z","title":"MANTA: Cross-Modal Semantic Alignment and Information-Theoretic Optimization for Long-form Multimodal Understanding","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T22:00:06.142630Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2507.00068"},"observation_digest":"sha256:01bde57456f12e8f3f1f3468d8d1793b999498b052f06b16ac6c7016183d7eaa","observation_id":"c74a9922-3306-40c0-8180-d6a268075e48","resolution":{"observed_at":"2026-08-06T22:00:06.142630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-08-05T18:07:38.649205Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.15190","last_updated":"2025-08-21T03:01:53Z","snapshot_observed_at":"2026-08-08T12:57:13.644439Z","submitted_at":"2025-08-21T03:01:53Z","title":"SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T18:07:38.649205Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2508.15190"},"observation_digest":"sha256:51acb3a80fa481e443031691bb235853b941e1e284213161ae559524fe8fde4a","observation_id":"85ada825-88a6-496d-b8f1-1a9fce6c9643","resolution":{"observed_at":"2026-08-05T18:07:38.649205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-08-04T19:37:42.192897Z","title":"Violet: End-to-end video-language transformers with masked visual- token modeling,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.09151","last_updated":"2026-06-08T07:16:30Z","snapshot_observed_at":"2026-08-09T17:50:11.271087Z","submitted_at":"2025-09-11T05:06:30Z","title":"Video Understanding by Design: How Datasets Shape Video Models","version":2},"reference_index":226,"source":"pdf_text","source_observed_at":"2026-08-04T19:37:42.192897Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2509.09151"},"observation_digest":"sha256:9b5a17673cc6816432bd1fc40545be696a95d1b74a6291249c491a2ad22a87cf","observation_id":"2a4ed516-d4be-4c5b-a2a9-b686192812be","resolution":{"observed_at":"2026-08-04T19:37:42.192897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2512.06673","last_updated":"2026-05-09T07:46:05Z","snapshot_observed_at":"2026-07-06T22:37:59.340166Z","submitted_at":"2025-12-07T06:11:15Z","title":"Detector-Empowered Video Large Language Model for Efficient Spatio-Temporal Grounding","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-17T00:54:53.789523Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2512.06673"},"observation_digest":"sha256:2da375c5e15e1a62717e177c9ef03af8725c92a3f489f340c3ce627ca1283a25","observation_id":"04a5bd31-04a1-4392-ad73-e48d61960717","resolution":{"observed_at":"2026-05-17T00:58:46.551714Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2604.08337","last_updated":"2026-04-09T15:10:25Z","snapshot_observed_at":"2026-08-03T10:29:21.842229Z","submitted_at":"2026-04-09T15:10:25Z","title":"InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T18:06:33.139310Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2604.08337"},"observation_digest":"sha256:9636aac7e1c02557856267e3cae46695c973ca789fc4ec95e1e9d2d79bc2b471","observation_id":"16f6576a-d254-457f-bec5-29e5253bfc26","resolution":{"observed_at":"2026-05-11T05:30:58.157510Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling","version":2},"cited_work":{"arxiv_id":"2111.12681","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2111.12681","snapshot_observed_at":"2026-07-03T00:57:30.204945Z","title":"Violet: End-to-end video-language transformers with masked visual-token modeling","venue":null,"work_id":"c7602525-8155-4a61-bd4e-abf06c26e6e7","year":2021},"citing_paper":{"arxiv_id":"2606.09181","last_updated":"2026-06-08T08:20:42Z","snapshot_observed_at":"2026-07-06T23:48:35.190418Z","submitted_at":"2026-06-08T08:20:42Z","title":"Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T16:55:35.743040Z"},"links":{"cited_paper":"/paper/2111.12681","citing_paper":"/paper/2606.09181"},"observation_digest":"sha256:e86d98073da472a9b1f41a7666167c31c7746d11bdcc09ee618fcab57eea40f7","observation_id":"bbea9e94-ae46-4d34-92c7-29194f78bfbc","resolution":{"observed_at":"2026-07-03T00:57:30.206555Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2111.12681/citation-record","integrity":"/paper/2111.12681/integrity","json":"/paper/2111.12681/citation-record.json","paper":"/paper/2111.12681"},"outbound":[],"paper":{"arxiv_id":"2111.12681","last_updated":"2022-04-16T04:21:26Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T04:22:15.975890Z","submitted_at":"2021-11-24T18:31:20Z","title":"VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2111.12681."}