{"as_of":"2026-08-08T13:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2331b041bf600e2862fa78593e1f79d8a47d220515f00620b59f91301c79def4","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:49:28.994408Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2506.16258/citation-record","integrity":"/paper/2506.16258/integrity","json":"/paper/2506.16258/citation-record.json","paper":"/paper/2506.16258"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.283527Z","title":"Barefoot Tofino Software Behavior Model","venue":null,"work_id":"f5190987-92dd-4ebd-a8e5-6f7b470f1a49","year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.018725Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:40e9b565dd5e0657eff3982c54f8e9de8385cb036c052a21c55429f37cda6ba3","observation_id":"93176663-e9e3-4128-b207-1b1bfada1483","resolution":{"observed_at":"2026-08-06T23:49:30.288213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.08695","last_updated":"2016-05-31T19:46:10Z","snapshot_observed_at":"2026-08-07T14:23:17.015812Z","submitted_at":"2016-05-27T15:49:50Z","title":"TensorFlow: A system for large-scale machine learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.08695","snapshot_observed_at":"2026-08-06T23:49:25.074214Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.074214Z"},"links":{"cited_paper":"/paper/1605.08695","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:3f8299d41263c9208227ea7ad975c0caae93b56f813b5cffc67e103a1d126ef6","observation_id":"5601ed7a-5a94-4a2b-ab6f-a98b137a776b","resolution":{"observed_at":"2026-08-06T23:49:25.074214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.15691","last_updated":"2021-11-01T12:55:56Z","snapshot_observed_at":"2026-08-06T03:32:00.098200Z","submitted_at":"2021-03-29T15:27:17Z","title":"ViViT: A Video Vision Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.15691","snapshot_observed_at":"2026-08-06T23:49:25.158984Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.158984Z"},"links":{"cited_paper":"/paper/2103.15691","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:8f54fed40a933ec13567f32f708d31cd1ca634dec0272fdaf4694f8f477adf4e","observation_id":"7f79dfc7-bd56-47fb-961d-37b147cd9c89","resolution":{"observed_at":"2026-08-06T23:49:25.158984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03413","last_updated":"2024-04-04T12:46:01Z","snapshot_observed_at":"2026-07-06T17:55:36.748672Z","submitted_at":"2024-04-04T12:46:01Z","title":"MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03413","snapshot_observed_at":"2026-08-06T23:49:25.241174Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.241174Z"},"links":{"cited_paper":"/paper/2404.03413","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:a6401a204cfeb9847971566cf79939d4799ee88f886c91e2697b130db8c3436b","observation_id":"95c4507e-4f56-42ef-bd11-4cb240c38ea9","resolution":{"observed_at":"2026-08-06T23:49:25.241174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.267898Z","title":null,"venue":null,"work_id":"a7474015-e0ea-42be-bb07-f45ddf1cf8a5","year":null},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.294380Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:76e360ff393ecc755ce507514421552a52026ba13a2fdb49464ea40da1f77a26","observation_id":"96cb9ac5-e191-4eab-8198-a9c365714085","resolution":{"observed_at":"2026-08-06T23:49:30.273597Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:49:30.253268Z","title":"Franklin, Joseph E","venue":null,"work_id":"0d21ec35-c72a-444e-ac68-0b1dbed0dbd9","year":2017},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.417255Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:d1bb2c0159df63da0244b73532457316d947f7e4b93c4de25afe5ae796515e9b","observation_id":"55d005cc-a830-4f00-9758-9e7af9478622","resolution":{"observed_at":"2026-08-06T23:49:30.257726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-06T23:49:25.476841Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.476841Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:5c79bb8bb53badb9edfb8be14818cada7065efcf6b0c4bf3a5717c5537934d9e","observation_id":"e995cc4e-6db2-4c85-aa02-9ceeeb327371","resolution":{"observed_at":"2026-08-06T23:49:25.476841Z","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":"2026-08-06T23:49:25.552599Z","title":"Gherghescu, Vlad-Andrei Bădoiu, Alexandru Agache, Mihai- Valentin Dumitru, Iuliu Vasilescu, Radu Mantu, and Costin Raiciu","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.552599Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:fff42b81c0176f2bf4032bbb941242559c46ec8cdcfca09675f7113908d38875","observation_id":"50502aba-fb33-4cf7-a14a-0f02317c1211","resolution":{"observed_at":"2026-08-06T23:49:25.552599Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.236396Z","title":null,"venue":null,"work_id":"3387710f-5759-4020-8909-ed149c9a68f4","year":null},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.621792Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:d5dfdae57ca01dd9c4ed305959e791fb3d8c64cb1485028116758d39f3457c6c","observation_id":"f845f669-f895-494b-958a-19f98a3a1504","resolution":{"observed_at":"2026-08-06T23:49:30.242039Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05726","last_updated":"2024-04-24T15:38:48Z","snapshot_observed_at":"2026-07-06T17:57:19.117933Z","submitted_at":"2024-04-08T17:59:24Z","title":"MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05726","snapshot_observed_at":"2026-08-06T23:49:25.772596Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.772596Z"},"links":{"cited_paper":"/paper/2404.05726","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:bcee0912f4930b735e5ca9b3114a61cca0c98048b877c89fbed9b4ebd07c0640","observation_id":"fdc0e26e-7bbc-413b-abce-bc2b993963ca","resolution":{"observed_at":"2026-08-06T23:49:25.772596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01075","last_updated":"2024-11-14T17:34:58Z","snapshot_observed_at":"2026-08-03T14:12:27.281844Z","submitted_at":"2024-11-01T23:09:44Z","title":"Cephalo: Harnessing Heterogeneous GPU Clusters for Training Transformer Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.01075","snapshot_observed_at":"2026-08-06T23:49:25.687245Z","title":"arXiv:2411.01075 [cs.DC] https://arxiv.org/abs/2411.01075","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.687245Z"},"links":{"cited_paper":"/paper/2411.01075","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:5d1b526e3c480131c8493d2f23dc9a8b6640a25e7e04b6f1dfba352fb3c95d5f","observation_id":"6ccc20d7-4797-4920-a822-9ea634e67d7b","resolution":{"observed_at":"2026-08-06T23:49:25.687245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.206236Z","title":null,"venue":null,"work_id":"6c392c0f-4153-42a9-88d1-61b97577363a","year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.944093Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:a523931eb18ef5f4b1035a3713b2f358ccef2abc4f2efcff8b05670bcde86698","observation_id":"8bb55744-4510-4100-a9ab-06b5287978b1","resolution":{"observed_at":"2026-08-06T23:49:30.210879Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:49:30.220336Z","title":null,"venue":null,"work_id":"d375b6f6-2167-4677-8d9d-0c46012599ff","year":null},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.840032Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:4b3b9722cf32b567d72d6681c81fac9db4a8633ffcb48b9ef0ce9721fc4af298","observation_id":"1737c4d5-e59d-4aee-b907-22db3cde1f80","resolution":{"observed_at":"2026-08-06T23:49:30.225311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/comst.2022","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:29.093500Z","title":null,"venue":null,"work_id":"3e9d647b-722a-4b2a-b00f-a9efbedd1954","year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.172942Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:782c95c861b0b03fadcdaf04f63653fb61da937fda854bd6b211437792bd0626","observation_id":"c0d0cbac-0f26-4b43-833e-3c547303314b","resolution":{"observed_at":"2026-08-06T23:49:29.099530Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.06180","last_updated":"2023-09-12T12:50:04Z","snapshot_observed_at":"2026-08-02T09:51:08.145755Z","submitted_at":"2023-09-12T12:50:04Z","title":"Efficient Memory Management for Large Language Model Serving with PagedAttention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.06180","snapshot_observed_at":"2026-08-06T23:49:26.245361Z","title":"Gonzalez, Hao Zhang, and Ion Stoica","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.245361Z"},"links":{"cited_paper":"/paper/2309.06180","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:14d4c68fcb222db896750b3397079b9b903a7408cfd85eea201a3bd9c1a82781","observation_id":"a55b2bd0-f1f2-4cbf-abdc-5c248a5cce9f","resolution":{"observed_at":"2026-08-06T23:49:26.245361Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.191003Z","title":null,"venue":null,"work_id":"cbefcbac-83ff-4bfe-8aaf-1d2a15f74a1b","year":null},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.025624Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:99b69a88e6ebefe688757c546da2d28336381fb99a006dd11f4fc8531fbb73be","observation_id":"9708cda5-4410-4a6b-9ab3-c1c787e30c14","resolution":{"observed_at":"2026-08-06T23:49:30.196508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08485","last_updated":"2023-12-11T17:46:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-17T17:59:25Z","title":"Visual Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08485","snapshot_observed_at":"2026-08-06T23:49:26.375833Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.375833Z"},"links":{"cited_paper":"/paper/2304.08485","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:f31c82014c83e26153221804c2e149df6d04c505f544cccaae080f384da51ff0","observation_id":"f199d986-cffc-4904-987c-d07820d71dcd","resolution":{"observed_at":"2026-08-06T23:49:26.375833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07240","last_updated":"2024-07-19T21:04:14Z","snapshot_observed_at":"2026-08-07T17:46:33.336201Z","submitted_at":"2023-10-11T07:08:20Z","title":"CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07240","snapshot_observed_at":"2026-08-06T23:49:26.441620Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.441620Z"},"links":{"cited_paper":"/paper/2310.07240","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:f973490188fbad58659100b60911de1e42c1ee0ae49a244032275a68095c07a2","observation_id":"8d66700f-ad39-4d58-a4f0-4ec86695dbfc","resolution":{"observed_at":"2026-08-06T23:49:26.441620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08860","last_updated":"2021-05-08T08:25:57Z","snapshot_observed_at":"2026-08-07T09:11:01.956830Z","submitted_at":"2021-04-18T13:59:50Z","title":"CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08860","snapshot_observed_at":"2026-08-06T23:49:26.509966Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.509966Z"},"links":{"cited_paper":"/paper/2104.08860","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:f0470725e1d0849cf8ef68208274a0f149ebcaf41c9b245018a951d4a3f25b4b","observation_id":"7b6c544f-d6ff-45c9-ac0f-04e709b8b115","resolution":{"observed_at":"2026-08-06T23:49:26.509966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.160685Z","title":null,"venue":null,"work_id":"3149792b-2d9e-4c6b-9654-fbff55f99bd2","year":2021},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.313524Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:c260c234ada3020770bc0eb999f00ede361e97e3cd104398b0fd6b1f8cbc027d","observation_id":"df990ad4-3e7a-456e-b288-3e5e921cc509","resolution":{"observed_at":"2026-08-06T23:49:30.166602Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T23:49:26.618702Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.618702Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:5c9e93f9eb8789426c60f72d13e6f566a8ec6df9964c66e2793e8ca0fdc1a15e","observation_id":"db7c38a5-1cbb-4f2d-aa43-49a192a5d11f","resolution":{"observed_at":"2026-08-06T23:49:26.618702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.135756Z","title":null,"venue":null,"work_id":"ecb827b5-4e64-4e08-81d8-3783b79692e2","year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.684002Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:3d0f3c5fb169d16059e266ddb6ef1661880c9aa48702f4019ec2edb9a156d6d5","observation_id":"832ee3fd-6ddc-44aa-9cba-b5985cc5f9ea","resolution":{"observed_at":"2026-08-06T23:49:30.141125Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:49:26.735110Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.735110Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:ce8bb5efd7c71cbf91e6fcbe70aa44b1b5eb59ace6507671542148523a02e3b8","observation_id":"4842587c-bb87-41f4-9ed6-d340f388ea32","resolution":{"observed_at":"2026-08-06T23:49:26.735110Z","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":"2026-08-06T23:49:26.562003Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.562003Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:b9c9ad65d045d3285c7c850ea0f4f4eeb1ace9eff465ba764006f0cde5605988","observation_id":"780bfd62-ff50-47b0-b3a9-b29cf80df897","resolution":{"observed_at":"2026-08-06T23:49:26.562003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.00020","last_updated":"2021-02-26T19:04:58Z","snapshot_observed_at":"2026-07-06T10:45:03.059688Z","submitted_at":"2021-02-26T19:04:58Z","title":"Learning Transferable Visual Models From Natural Language Supervision","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.00020","snapshot_observed_at":"2026-08-06T23:49:26.893572Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.893572Z"},"links":{"cited_paper":"/paper/2103.00020","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:9de0de5e26678c81b5681cbd2872dd03b34249e45499dea09c6fcec1c77addf2","observation_id":"9f8d6f04-a4bf-4a29-bca3-f1f5cfba6f37","resolution":{"observed_at":"2026-08-06T23:49:26.893572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05596","last_updated":"2022-07-21T18:21:36Z","snapshot_observed_at":"2026-07-06T12:27:29.223870Z","submitted_at":"2022-01-14T18:36:04Z","title":"DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.05596","snapshot_observed_at":"2026-08-06T23:49:26.969481Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.969481Z"},"links":{"cited_paper":"/paper/2201.05596","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:7094fa3d51d5c322eb09892c43a5f396be4fbbacc6bca839d72b82197ea4765b","observation_id":"eedc4595-aabf-4780-b92a-0a605933d8d6","resolution":{"observed_at":"2026-08-06T23:49:26.969481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.100384Z","title":null,"venue":null,"work_id":"39878327-fbb2-4dc7-bb1e-be472d82f9b5","year":2021},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.055595Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:8f8061a7a2e5e3c475ec98583fa052afc5b281a597e5dea2f2778ac41e4193ae","observation_id":"92e25e15-61b9-4148-ada5-f841be106734","resolution":{"observed_at":"2026-08-06T23:49:30.104896Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:49:26.817292Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.817292Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:f83394e06e3890e5a65b2df5a2cd5e5a2207fdb49ce0ee3e49a6f76bb2486afe","observation_id":"5dea7163-f55d-458b-8e65-5fdbc05271cc","resolution":{"observed_at":"2026-08-06T23:49:26.817292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.05600","last_updated":"2020-10-10T07:46:19Z","snapshot_observed_at":"2026-08-01T16:44:46.833530Z","submitted_at":"2019-07-12T07:37:26Z","title":"Generative Modeling by Estimating Gradients of the Data Distribution","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.05600","snapshot_observed_at":"2026-08-06T23:49:27.175617Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.175617Z"},"links":{"cited_paper":"/paper/1907.05600","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:cfaafb2a292a68715a303cfdcd8fd97339fda7b744158815bdad0af41e921d21","observation_id":"b8768dfb-a069-4460-a156-a693b1b06504","resolution":{"observed_at":"2026-08-06T23:49:27.175617Z","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":"2026-08-06T23:49:27.180372Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.180372Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:6334c5fc0c3dd9ed7d0905f35c54ea2c5855ba8c333cb831dec90572ebd98221","observation_id":"85549c75-3567-486d-a99c-6f05ee1f7166","resolution":{"observed_at":"2026-08-06T23:49:27.180372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.084930Z","title":"Wadekar, Abhishek Chaurasia, Aman Chadha, and Eugenio Culurciello","venue":null,"work_id":"bc102739-9215-4cf1-836d-d785f4d58232","year":null},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.262844Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:b7b2ab233e989c81eabb58bd82beb192fa7ead9a929d57bbd82f0b2efe499e7b","observation_id":"edcdc821-0e60-4c97-a102-a0298527bc0e","resolution":{"observed_at":"2026-08-06T23:49:30.089713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.05799","last_updated":"2018-02-21T04:30:30Z","snapshot_observed_at":"2026-07-06T06:23:45.215820Z","submitted_at":"2018-02-15T23:36:51Z","title":"Horovod: fast and easy distributed deep learning in TensorFlow","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.05799","snapshot_observed_at":"2026-08-06T23:49:27.119726Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.119726Z"},"links":{"cited_paper":"/paper/1802.05799","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:6923fcacd5ee465b32cd916b64616af803450e4ac0dad0b41df935e70ca5b2cf","observation_id":"34e0ee56-a174-47a4-9482-db4921da03ed","resolution":{"observed_at":"2026-08-06T23:49:27.119726Z","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":"2026-08-06T23:49:27.628665Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.628665Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:0ed1a8810889f5b5c10c91311abddad71bb0c10c5faff675caf5ab76618fb791","observation_id":"e9feb921-4888-414f-a90d-662bee2c6f7e","resolution":{"observed_at":"2026-08-06T23:49:27.628665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06173","last_updated":"2024-04-09T09:54:21Z","snapshot_observed_at":"2026-07-06T17:57:40.022710Z","submitted_at":"2024-04-09T09:54:21Z","title":"Improving Interpretable Embeddings for Ad-hoc Video Search with Generative Captions and Multi-word Concept Bank","version":1},"cited_work":{"arxiv_id":"2404.06173","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.06173","snapshot_observed_at":"2026-08-06T23:49:29.465725Z","title":"Improving Interpretable Embeddings for Ad-hoc Video Search with Generative Captions and Multi-word Concept Bank","venue":"cs.CV","work_id":"68965564-a1f7-4e85-95c2-8c53ea784971","year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.738904Z"},"links":{"cited_paper":"/paper/2404.06173","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:cce098ef02eab08887de157e63fb68a491543c7f3679e53b7a1abed2fb9ac751","observation_id":"d374ce86-65ee-4da8-a2db-5ef68610f587","resolution":{"observed_at":"2026-08-06T23:49:29.471945Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:49:27.896743Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.896743Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:dd61e38f2c83e8f0472a07f64fd57ac9488161cec0cfdce26f096d38a1092edc","observation_id":"0aded500-e06e-4e9f-bb19-2000ab3f2d53","resolution":{"observed_at":"2026-08-06T23:49:27.896743Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17927","last_updated":"2024-05-28T07:48:15Z","snapshot_observed_at":"2026-08-05T05:26:20.143730Z","submitted_at":"2024-05-28T07:48:15Z","title":"The Evolution of Multimodal Model Architectures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17927","snapshot_observed_at":"2026-08-06T23:49:27.380440Z","title":"arXiv:2405.17927 [cs.AI] https://arxiv.org/abs/2405.17927","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.380440Z"},"links":{"cited_paper":"/paper/2405.17927","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:ef683af6d80ba0f7c902027c38f015b720a437f6108076f34047217fe580e976","observation_id":"83ca2660-bd83-4b12-8151-efb3a4872338","resolution":{"observed_at":"2026-08-06T23:49:27.380440Z","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":"1029.34110","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:29.637008Z","title":null,"venue":null,"work_id":"45ed6adb-fb7d-4ea4-a093-3aae6444c43c","year":2020},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:27.477754Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:0b4c2c6242f0a8add557448946f261679fafc14b00aaeb8b1a52ff91dd6e25f2","observation_id":"d73dfe23-8a08-4ed4-b258-283eb3138b9b","resolution":{"observed_at":"2026-08-06T23:49:29.644921Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.17421","last_updated":"2023-10-11T05:07:37Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-29T17:34:51Z","title":"The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.17421","snapshot_observed_at":"2026-08-06T23:49:28.350494Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:28.350494Z"},"links":{"cited_paper":"/paper/2309.17421","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:be6ce0a63710f69607ebed6bd6ebc808ba7a907ad2a5e2e99b97b59f03b899ca","observation_id":"1c5ead44-f59b-4dc3-a95d-2f75864d12b4","resolution":{"observed_at":"2026-08-06T23:49:28.350494Z","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":"2026-08-06T23:49:28.474411Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:28.474411Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:71ecb1d0b55e5089bb40bd77442be5fa742dca91403c2bfc816e07bee0996715","observation_id":"c9bae4cb-b064-4fd7-b66c-0595fcf20c13","resolution":{"observed_at":"2026-08-06T23:49:28.474411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.069742Z","title":null,"venue":null,"work_id":"2da3737e-2b63-43ea-a6f6-c9789150049d","year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:28.583637Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:ebd0a9a8ae526d9f27c4af2f8e0c7fba70166f3dd33e0b39bc8e0e63f1407ef0","observation_id":"bedd201a-27c2-4a89-a60c-c325fb10712f","resolution":{"observed_at":"2026-08-06T23:49:30.074395Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T23:49:28.044532Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:28.044532Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:a3b56d2d9291245b3f0cf25036e9d016d3d30d203b057942e58d535c12e316c9","observation_id":"30a6f9fb-126b-4604-8e08-4be548b7827f","resolution":{"observed_at":"2026-08-06T23:49:28.044532Z","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":"2026-08-06T23:49:28.160837Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:28.160837Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:6b5714b8166a4322c995f60cea86e9104ac8aef5722e0938bb262d022a1af78f","observation_id":"6799da47-07f7-4218-9525-e0503c3e56df","resolution":{"observed_at":"2026-08-06T23:49:28.160837Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.10592","last_updated":"2023-10-02T16:38:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-20T18:25:35Z","title":"MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10592","snapshot_observed_at":"2026-08-06T23:49:28.994408Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:28.994408Z"},"links":{"cited_paper":"/paper/2304.10592","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:c8e2833714444c7d1d9ffd0b51fd06799388f592cb8b1ec9c482c25868738a25","observation_id":"ee652b33-8e0d-4b7d-9c1a-c6d3ed30fe06","resolution":{"observed_at":"2026-08-06T23:49:28.994408Z","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":"7230.36872","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:29.207041Z","title":null,"venue":null,"work_id":"eff59e65-18cd-413b-be49-8208e3b636fd","year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:28.725664Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:035ae04590a6b8943d3e15fd86479d5537225768f764e0c8766ac323b85f2763","observation_id":"eb015928-845b-4fec-a2f6-c268c2fd904c","resolution":{"observed_at":"2026-08-06T23:49:29.215382Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09670","last_updated":"2024-06-06T15:50:51Z","snapshot_observed_at":"2026-08-05T00:28:57.370523Z","submitted_at":"2024-01-18T01:03:38Z","title":"DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09670","snapshot_observed_at":"2026-08-06T23:49:28.857164Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:28.857164Z"},"links":{"cited_paper":"/paper/2401.09670","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:2692f51f8ee3a23f2d6ecd05e6f96a3576df80a3071ce9cc4b3c675f965c0fdf","observation_id":"8fbe7b5f-656b-40e4-8426-e19824558fca","resolution":{"observed_at":"2026-08-06T23:49:28.857164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:49:30.176565Z","title":"In14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20)","venue":null,"work_id":"2bd70919-93af-4776-8468-17676e11c2f1","year":2025},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:26.098158Z"},"links":{"citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:893616e8b2057467ad3d08ee1e46634a0c6f374f6781e447fbb88c2017dd45e0","observation_id":"bee42779-e415-4db1-b572-fc7a28acb8d3","resolution":{"observed_at":"2026-08-06T23:49:30.181429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15187","last_updated":"2022-03-29T01:59:26Z","snapshot_observed_at":"2026-08-03T22:45:58.349951Z","submitted_at":"2022-03-29T01:59:26Z","title":"ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization","version":1},"cited_work":{"arxiv_id":"2203.15187","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.15187","snapshot_observed_at":"2026-08-06T23:49:29.876082Z","title":"ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization","venue":"cs.CV","work_id":"595c9372-007b-40a6-9d72-05b728cd4e7f","year":2022},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.899243Z"},"links":{"cited_paper":"/paper/2203.15187","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:08c9fe5157a5aa7d110e5d07c1cd46e1eaed446a223db8185be5ac7f5c937756","observation_id":"57842ade-c702-42cd-9421-09a85e30708f","resolution":{"observed_at":"2026-08-06T23:49:29.881590Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12679","last_updated":"2024-07-17T15:59:32Z","snapshot_observed_at":"2026-07-06T18:47:51.907417Z","submitted_at":"2024-07-17T15:59:32Z","title":"Goldfish: Vision-Language Understanding of Arbitrarily Long Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12679","snapshot_observed_at":"2026-08-06T23:49:25.377334Z","title":"arXiv:2407.12679 [cs.CV] https://arxiv.org/abs/2407.12679","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:25.377334Z"},"links":{"cited_paper":"/paper/2407.12679","citing_paper":"/paper/2506.16258"},"observation_digest":"sha256:194eefa9e90d694a03d9e6cd65ddd8d511818f7f384175ff015b6826612a69e8","observation_id":"649abe3e-89c6-4848-bf78-921696907337","resolution":{"observed_at":"2026-08-06T23:49:25.377334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.16258","last_updated":"2025-06-19T12:17:31Z","latest_version":1,"primary_category":"cs.MM","snapshot_observed_at":"2026-08-06T23:41:53.635842Z","submitted_at":"2025-06-19T12:17:31Z","title":"ViFusion: In-Network Tensor Fusion for Scalable Video Feature Indexing"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":38,"verified_exact":2,"verified_fuzzy":4},"total_outbound_references":48},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.16258."}