{"as_of":"2026-08-09T11:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0d5323435fcca77dfe7bf2871d45c0b71d8b95eb5f6aff38c2e5032a52ac562e","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":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":12,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T20:06:35.167362Z","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":"2026-07-01T22:26:17.926283Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-08-08T20:06:35.167362Z","title":"Dispider: Enabling video llms with active real-time interaction via disentangled perception, decision, and reaction","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.05173","last_updated":"2025-05-30T03:54:16Z","snapshot_observed_at":"2026-08-08T19:58:39.444110Z","submitted_at":"2025-02-07T18:56:04Z","title":"VideoRoPE: What Makes for Good Video Rotary Position Embedding?","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T20:06:35.167362Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2502.05173"},"observation_digest":"sha256:d52c918b63a096bb0515b87747e845cc5466732348ff6b8618748017074bdd35","observation_id":"8a52dff9-a257-442d-8a57-e889f9000459","resolution":{"observed_at":"2026-08-08T20:06:35.167362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":"2501.03218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-07-01T22:26:17.926283Z","title":"Dispider: Enabling video llms with active real-time interaction via disentangled perception, decision, and reaction","venue":null,"work_id":"ddebbf8f-fd3e-4972-adce-027205da1952","year":2025},"citing_paper":{"arxiv_id":"2505.15269","last_updated":"2026-04-23T12:54:38Z","snapshot_observed_at":"2026-08-03T01:07:06.468931Z","submitted_at":"2025-05-21T08:47:15Z","title":"LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-22T14:26:59.015559Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2505.15269"},"observation_digest":"sha256:5cab91eb5d0fba3bfb098470d4198a12e98f5f916cdb6b4cce9fa5da482fd056","observation_id":"88a2eff5-a20f-4274-bfa0-802292c48365","resolution":{"observed_at":"2026-05-22T14:31:40.751212Z","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":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-08-06T18:03:14.023334Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.09313","last_updated":"2025-07-15T11:48:07Z","snapshot_observed_at":"2026-08-07T00:34:11.228009Z","submitted_at":"2025-07-12T15:11:50Z","title":"ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T18:03:14.023334Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2507.09313"},"observation_digest":"sha256:9753544447e5c44e24bcc58a4ef6ab78d9954023f87f7cf544989862d8dd00f7","observation_id":"7b0e7426-b2f9-414d-8ade-fed24f1340f5","resolution":{"observed_at":"2026-08-06T18:03:14.023334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-08-05T19:03:11.732167Z","title":"Dispider: Enabling video llms with active real-time interaction via disentangled perception, decision, and reaction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.13692","last_updated":"2025-08-19T09:52:04Z","snapshot_observed_at":"2026-08-09T03:24:13.317916Z","submitted_at":"2025-08-19T09:52:04Z","title":"HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes","version":1},"reference_index":104,"source":"pdf_text","source_observed_at":"2026-08-05T19:03:11.732167Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2508.13692"},"observation_digest":"sha256:bce26cfc0469dc5cd467d4bd48d98d424ec3c204c6719661e3a6ceb7456bdb72","observation_id":"53cf1a43-0fee-4632-907d-776919048db0","resolution":{"observed_at":"2026-08-05T19:03:11.732167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-08-04T18:58:12.868093Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09560","last_updated":"2025-09-11T15:51:43Z","snapshot_observed_at":"2026-08-06T18:46:16.977725Z","submitted_at":"2025-09-11T15:51:43Z","title":"Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-04T18:58:12.868093Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2509.09560"},"observation_digest":"sha256:762303dbe6d72d28cc61f7dc28b450472f720763e5dc110c3fa2c8b2516a265c","observation_id":"95f770cf-580c-4219-85d1-db4bf6c3baea","resolution":{"observed_at":"2026-08-04T18:58:12.868093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":"2501.03218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-07-01T22:26:17.926283Z","title":"Dispider: Enabling video llms with active real-time interaction via disentangled perception, decision, and reaction","venue":null,"work_id":"ddebbf8f-fd3e-4972-adce-027205da1952","year":2025},"citing_paper":{"arxiv_id":"2512.21334","last_updated":"2026-04-10T15:00:46Z","snapshot_observed_at":"2026-08-03T08:10:30.527963Z","submitted_at":"2025-12-24T18:59:36Z","title":"Streaming Video Instruction Tuning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T19:44:11.032898Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2512.21334"},"observation_digest":"sha256:569b99459f0d036554ea5ab49e6a22e4cba6ac0bcbba09d1097d09a727a7e9e9","observation_id":"40074e99-5415-4b8a-9da5-fb57567a309d","resolution":{"observed_at":"2026-05-16T19:48:21.763487Z","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":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":"2501.03218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-07-01T22:26:17.926283Z","title":"Dispider: Enabling video llms with active real-time interaction via disentangled perception, decision, and reaction","venue":null,"work_id":"ddebbf8f-fd3e-4972-adce-027205da1952","year":2025},"citing_paper":{"arxiv_id":"2601.14724","last_updated":"2026-05-07T12:10:26Z","snapshot_observed_at":"2026-08-05T03:02:47.238051Z","submitted_at":"2026-01-21T07:26:15Z","title":"HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-16T12:55:04.564442Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2601.14724"},"observation_digest":"sha256:af6d84b3933864d17026dc7ef0844be61ae0cc7455b546a15ba2de73b8e9e707","observation_id":"6362aea4-172e-4120-8ee6-f36894c11b30","resolution":{"observed_at":"2026-05-16T12:57:53.912952Z","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":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-07-14T22:09:56.270516Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.12703","last_updated":"2026-06-29T17:45:27Z","snapshot_observed_at":"2026-08-06T02:01:46.246977Z","submitted_at":"2026-03-13T06:28:46Z","title":"SVCBench: A Streaming Video Counting Benchmark for Spatial-Temporal State Maintenance","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T22:09:56.270516Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2603.12703"},"observation_digest":"sha256:f1150b3dcc57b7534201a410da9a82a2b6eec8955ec76946772e324829b324ee","observation_id":"e46447b3-5db4-4e6e-933b-6df5e1f0f461","resolution":{"observed_at":"2026-07-14T22:09:56.270516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":"2501.03218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-07-01T22:26:17.926283Z","title":"Dispider: Enabling video llms with active real-time interaction via disentangled perception, decision, and reaction","venue":null,"work_id":"ddebbf8f-fd3e-4972-adce-027205da1952","year":2025},"citing_paper":{"arxiv_id":"2606.07639","last_updated":"2026-06-01T09:07:15Z","snapshot_observed_at":"2026-07-06T23:47:15.041928Z","submitted_at":"2026-06-01T09:07:15Z","title":"MOSS-Video-Preview: Toward Real-Time Video Understanding via Cross-Attention","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T15:22:31.310003Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2606.07639"},"observation_digest":"sha256:bbbc826a3fe9e274bd57f720c0182bf1bad68720135d84a10f6f8245f85a7126","observation_id":"16ce67ef-091d-4468-a7a9-0547ad079b39","resolution":{"observed_at":"2026-07-01T22:26:17.927733Z","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":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":"2501.03218","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-07-01T22:26:17.926283Z","title":"Dispider: Enabling video llms with active real-time interaction via disentangled perception, decision, and reaction","venue":null,"work_id":"ddebbf8f-fd3e-4972-adce-027205da1952","year":2025},"citing_paper":{"arxiv_id":"2606.29472","last_updated":"2026-06-28T15:59:31Z","snapshot_observed_at":"2026-08-01T16:45:40.105247Z","submitted_at":"2026-06-28T15:59:31Z","title":"Agent-Computer Observation Interfaces Enable Dynamic Computer Use","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T06:59:20.295818Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2606.29472"},"observation_digest":"sha256:8120f7699402535877a62ed1a31538c298c53e269a3326d6d9f2dbd15979c9aa","observation_id":"dc3c6d0c-8ff1-470e-a201-2abe63c3863e","resolution":{"observed_at":"2026-06-30T07:04:21.262807Z","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":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-07-31T06:20:13.871291Z","title":"Dispider: Enabling video llms with active real-time interaction via disentangled perception, decision, and reaction.arXiv preprint arXiv:2501.03218, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.24904","last_updated":"2026-07-27T17:59:53Z","snapshot_observed_at":"2026-08-07T06:47:24.083796Z","submitted_at":"2026-07-27T17:59:53Z","title":"Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-07-31T06:20:13.871291Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2607.24904"},"observation_digest":"sha256:89be0082ac23d678a39be3bb92bb85e8abc7a04eb15eb4d4fa93b81c1522990c","observation_id":"bc06c397-3e9e-4ed2-b1e6-8c1814e68646","resolution":{"observed_at":"2026-07-31T06:20:13.871291Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.03218","last_updated":"2025-01-06T18:55:10Z","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.03218","snapshot_observed_at":"2026-08-04T03:21:46.866199Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.28312","last_updated":"2026-08-01T16:00:11Z","snapshot_observed_at":"2026-08-06T23:11:29.524233Z","submitted_at":"2026-07-30T14:47:00Z","title":"ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T03:21:46.866199Z"},"links":{"cited_paper":"/paper/2501.03218","citing_paper":"/paper/2607.28312"},"observation_digest":"sha256:4ad8bde097e0a7420e5e6503a9187278396e7b410a268076d65c922c18b6bf5c","observation_id":"d64cfaea-a437-48a9-9970-1ef6eed97e19","resolution":{"observed_at":"2026-08-04T03:21:46.866199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.03218/citation-record","integrity":"/paper/2501.03218/integrity","json":"/paper/2501.03218/citation-record.json","paper":"/paper/2501.03218"},"outbound":[],"paper":{"arxiv_id":"2501.03218","last_updated":"2025-01-06T18:55:10Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T16:02:53.165875Z","submitted_at":"2025-01-06T18:55:10Z","title":"Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction"},"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 12 inbound Pith citation observations for arXiv:2501.03218."}