Paper Citation Record · LEDGER

Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2312.08870.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.08870 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:36:40.834090Z

measured 0 of 1 external citation measurements

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

Observation 8e190d31-4252-4533-9a0a-c3cbdab840a8 · inbound

Is Extending Modality The Right Path Towards Omni-Modality? cites this paper.

Is Extending Modality The Right Path Towards Omni-Modality? Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:36:40.834090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b8ef74-1160-4320-a0b4-1d300b3dc3c7 · inbound

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images cites this paper.

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:33.190355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da03465-d944-41e8-853e-75afe820e43f · inbound

IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes cites this paper.

IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:37:37.698447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef4cecf-0169-4367-8e2e-009733dc94b6 · inbound

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:52.976080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22f7bdd3-7318-42a1-9806-3829e0bcfd82 · inbound

DynImg: Key Frames with Visual Prompts are Good Representation for Multi-Modal Video Understanding cites this paper.

DynImg: Key Frames with Visual Prompts are Good Representation for Multi-Modal Video Understanding Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T15:34:44.450026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.