Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Language Repository for Long Video Understanding
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.14622.
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 2026-08-06T23:29:26.384824Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:48:03.032393Z
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 203814b7-9f3a-4acc-9ebb-9953a9e5bd9f · inbound
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output cites this paper.
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output Language Repository for Long Video Understanding
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T10:46:28.569002Z
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 0731a994-2002-4fc0-9026-e61e684b35e5 · inbound
MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering cites this paper.
MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering Language Repository for Long Video Understanding
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:29:26.384824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 378dba24-81bd-4297-9f4f-974a00cd3418 · inbound
Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames cites this paper.
Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames Language Repository for Long Video Understanding
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:06:26.647384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5da05aa-da0b-4824-b946-801df598799f · inbound
LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering cites this paper.
LeAdQA: LLM-Driven Context-Aware Temporal Grounding for Video Question Answering Language Repository for Long Video Understanding
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:53:29.804755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02bd78e0-fb21-4a3a-aa91-739025b936dc · inbound
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Language Repository for Long Video Understanding
Reference 300
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:29:12.253371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93e3cbc7-3329-48b7-8fe3-9b30deb89d17 · inbound
Towards Sparse Video Understanding and Reasoning cites this paper.
Towards Sparse Video Understanding and Reasoning Language Repository for Long Video Understanding
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:33:10.793495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fae420d3-4fca-4572-a022-1281112ef2c7 · inbound
Progressive Video Condensation with MLLM Agent for Long-form Video Understanding cites this paper.
Progressive Video Condensation with MLLM Agent for Long-form Video Understanding Language Repository for Long Video Understanding
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:43:14.874415Z
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 0b07c839-57e8-4a8f-ad5a-13c7299fd366 · inbound
Why Do Vision Language Models Struggle To Recognize Human Emotions? cites this paper.
Why Do Vision Language Models Struggle To Recognize Human Emotions? Language Repository for Long Video Understanding
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T11:05:08.711449Z
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 d689b70b-4670-4ce6-9430-3a91d56b3fd9 · inbound
Why Do Vision Language Models Struggle To Recognize Human Emotions? cites this paper.
Why Do Vision Language Models Struggle To Recognize Human Emotions? Language Repository for Long Video Understanding
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:11:28.626096Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dd8ee88-1ac9-4f25-8b22-94e9d820cc0c · inbound
InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.
InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning Language Repository for Long Video Understanding
Reference 167
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T10:48:03.033857Z
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.