{"as_of":"2026-08-11T09:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:59a5d1bdf8d776c74f2ce43da7fd838621882397e6e58a1f542817646fb33e3b","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T23:32:17.814422Z","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":"2026-06-29T22:13:59.574945Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.01328","last_updated":"2025-04-02T03:24:58Z","snapshot_observed_at":"2026-08-07T16:15:53.305377Z","submitted_at":"2025-04-02T03:24:58Z","title":"Slow-Fast Architecture for Video Multi-Modal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.01328","snapshot_observed_at":"2026-08-05T23:32:17.814422Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.10922","last_updated":"2025-08-07T08:52:11Z","snapshot_observed_at":"2026-08-09T09:33:06.733360Z","submitted_at":"2025-08-07T08:52:11Z","title":"A Survey on Video Temporal Grounding with Multimodal Large Language Model","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-05T23:32:17.814422Z"},"links":{"cited_paper":"/paper/2504.01328","citing_paper":"/paper/2508.10922"},"observation_digest":"sha256:d9fa05746af6f21b176336ef96010439c26a0aeb0c8446d0360be929fac1ee0b","observation_id":"89728ef8-fc4a-4e38-ae24-691b01dab7f8","resolution":{"observed_at":"2026-08-05T23:32:17.814422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01328","last_updated":"2025-04-02T03:24:58Z","snapshot_observed_at":"2026-08-07T16:15:53.305377Z","submitted_at":"2025-04-02T03:24:58Z","title":"Slow-Fast Architecture for Video Multi-Modal Large Language Models","version":1},"cited_work":{"arxiv_id":"2504.01328","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.01328","snapshot_observed_at":"2026-06-29T22:13:59.574945Z","title":"Slow-fast architecture for video multi-modal large language models","venue":null,"work_id":"6885223e-2904-428e-ae58-0c36e078cff9","year":2025},"citing_paper":{"arxiv_id":"2605.11477","last_updated":"2026-05-12T03:45:11Z","snapshot_observed_at":"2026-08-11T08:47:04.831847Z","submitted_at":"2026-05-12T03:45:11Z","title":"LDDR: Linear-DPP-Based Dynamic-Resolution Frame Sampling for Video MLLMs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-13T03:20:42.684286Z"},"links":{"cited_paper":"/paper/2504.01328","citing_paper":"/paper/2605.11477"},"observation_digest":"sha256:19992999e07aa7d3872e99d3859afbc9066b6386d0cd4b368ea2d3fcb488b394","observation_id":"772f157f-b4d0-4285-8ea3-bfe4546a9a97","resolution":{"observed_at":"2026-05-13T03:22:10.097721Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01328","last_updated":"2025-04-02T03:24:58Z","snapshot_observed_at":"2026-08-07T16:15:53.305377Z","submitted_at":"2025-04-02T03:24:58Z","title":"Slow-Fast Architecture for Video Multi-Modal Large Language Models","version":1},"cited_work":{"arxiv_id":"2504.01328","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.01328","snapshot_observed_at":"2026-06-29T22:13:59.574945Z","title":"Slow-fast architecture for video multi-modal large language models","venue":null,"work_id":"6885223e-2904-428e-ae58-0c36e078cff9","year":2025},"citing_paper":{"arxiv_id":"2605.25979","last_updated":"2026-05-25T15:54:04Z","snapshot_observed_at":"2026-07-06T23:35:50.787324Z","submitted_at":"2026-05-25T15:54:04Z","title":"LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-29T22:12:05.365596Z"},"links":{"cited_paper":"/paper/2504.01328","citing_paper":"/paper/2605.25979"},"observation_digest":"sha256:76f469dc6331701af727c991302327c54fa04df533801bfdc862ff1bf46d1a85","observation_id":"9502d1c9-2655-4300-9f10-c4a927bcd63f","resolution":{"observed_at":"2026-06-29T22:13:59.576656Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.01328","last_updated":"2025-04-02T03:24:58Z","snapshot_observed_at":"2026-08-07T16:15:53.305377Z","submitted_at":"2025-04-02T03:24:58Z","title":"Slow-Fast Architecture for Video Multi-Modal Large Language Models","version":1},"cited_work":{"arxiv_id":"2504.01328","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.01328","snapshot_observed_at":"2026-06-29T22:13:59.574945Z","title":"Slow-fast architecture for video multi-modal large language models","venue":null,"work_id":"6885223e-2904-428e-ae58-0c36e078cff9","year":2025},"citing_paper":{"arxiv_id":"2605.28229","last_updated":"2026-05-27T09:43:06Z","snapshot_observed_at":"2026-08-05T02:10:57.115222Z","submitted_at":"2026-05-27T09:43:06Z","title":"VidPrism: Heterogeneous Mixture of Experts for Image-to-Video Transfer","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-29T13:01:42.880738Z"},"links":{"cited_paper":"/paper/2504.01328","citing_paper":"/paper/2605.28229"},"observation_digest":"sha256:9077d57876614869b8b7311d86617e3d30ad9d0f001239c851b322ea847343ef","observation_id":"0e986fbd-7f99-4b03-9579-cfff989aa9dd","resolution":{"observed_at":"2026-06-29T13:03:25.911484Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.01328/citation-record","integrity":"/paper/2504.01328/integrity","json":"/paper/2504.01328/citation-record.json","paper":"/paper/2504.01328"},"outbound":[],"paper":{"arxiv_id":"2504.01328","last_updated":"2025-04-02T03:24:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:15:53.305377Z","submitted_at":"2025-04-02T03:24:58Z","title":"Slow-Fast Architecture for Video Multi-Modal Large Language Models"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.01328."}