Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Chained Image-Language Model for Video Localization and Question Answering
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.06988.
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 2026-08-06T19:47:52.748814Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T13:33:28.467463Z
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 01864bbb-665c-4f1f-bc48-dbb15c4be93d · inbound
Gemini: A Family of Highly Capable Multimodal Models cites this paper.
Gemini: A Family of Highly Capable Multimodal Models Self-Chained Image-Language Model for Video Localization and Question Answering
Reference 128
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T05:03:55.509676Z
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 5b099f7e-35c1-4349-a697-ba25452e77cf · inbound
Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning cites this paper.
Tempo-R0: A Video-MLLM for Temporal Video Grounding through Efficient Temporal Sensing Reinforcement Learning Self-Chained Image-Language Model for Video Localization and Question Answering
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:47:52.748814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a16f30d-b100-4137-849c-bc3eb44ebdfa · inbound
VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering cites this paper.
VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering Self-Chained Image-Language Model for Video Localization and Question Answering
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:49:42.185509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d09069a-466c-42fb-bde3-01b85e1e5ce5 · inbound
Rethinking Video-Language Model from the Language Input Perspective cites this paper.
Rethinking Video-Language Model from the Language Input Perspective Self-Chained Image-Language Model for Video Localization and Question Answering
Reference 72
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T13:33:28.468853Z
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 cfa677f9-9df0-448e-8108-7469cf311057 · inbound
TimeThink: Reasoning with Time for Video LLMs cites this paper.
TimeThink: Reasoning with Time for Video LLMs Self-Chained Image-Language Model for Video Localization and Question Answering
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T08:59:46.244502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.