Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.08870.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T06:01:00.775721Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T06:02:37.425276Z
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 eca306c0-c0e9-4e29-9fb6-332af2e57044 · inbound
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning cites this paper.
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:21:58.009244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a8563319-ad34-476c-bb1e-81520d738250 · inbound
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs cites this paper.
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:44:53.568946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60027b7f-0915-4a79-b308-14f27afd7e3d · inbound
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding cites this paper.
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:02:37.429698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e16ea5c9-ee3c-424d-bcab-23f5c894bfdb · inbound
FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO cites this paper.
FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T00:22:18.717816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b63e8b36-84b4-41f8-8858-b028fb630932 · inbound
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:30:56.944339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.