Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.16267.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:32:53.658205Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T06:57:28.323422Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation dae1cfa4-b820-47e8-a865-124eaad7325d · inbound
DisTime: Distribution-based Time Representation for Video Large Language Models cites this paper.
DisTime: Distribution-based Time Representation for Video Large Language Models xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:32:53.658205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53677ca5-1ac8-42b3-9335-e3510cf0ee6d · inbound
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding cites this paper.
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:56:05.354802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83a72fcd-4822-4217-91f4-a59a1769c279 · inbound
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs cites this paper.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:48.415433Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f9abcff-b849-49cd-b4bc-18e75325fbd6 · inbound
Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data cites this paper.
Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:58:17.487286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac4e92f5-44c9-4494-bc87-5a20e2f7b837 · inbound
Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs cites this paper.
Tracing the Arrow of Time: Diagnosing Temporal Information Flow in Video-LLMs xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T03:05:53.165996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ed9d0d5d-9b5a-4980-a5e6-040ceb006084 · inbound
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models cites this paper.
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:31:26.761795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 57b75438-a683-4f00-af2d-872cc0916474 · inbound
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models cites this paper.
TOC-Bench: A Temporal Object Consistency Benchmark for Video Large Language Models xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:57:28.326463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b7a55875-f353-4b32-9ba8-3b1c1b284223 · inbound
Searching Videos as Trees: Self-Correcting Agents for Grounded Long Video QA cites this paper.
Searching Videos as Trees: Self-Correcting Agents for Grounded Long Video QA xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:09:44.272531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8f4a119-5ef0-4545-87e6-4b6fc4e5ed8a · inbound
Efficient Tracking and Understanding Object Transformations cites this paper.
Efficient Tracking and Understanding Object Transformations xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T11:55:11.477753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.