Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.12359.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:36:01.387439Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T06:34:41.889550Z
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 fe7119ef-5835-46f4-8b15-701167eeb8d9 · inbound
Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities cites this paper.
Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:36:01.387439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e244359-a82f-402a-acd1-6a00a76d8029 · inbound
OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination cites this paper.
OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:22:21.159544Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37be52cf-7c3b-4ac7-b9ca-155d6c417069 · inbound
CogniVerse: Revolutionizing Multi-Modal Retrieval-Augmented Generation with Cognitive Reflection and Geometric Reasoning cites this paper.
CogniVerse: Revolutionizing Multi-Modal Retrieval-Augmented Generation with Cognitive Reflection and Geometric Reasoning LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Reference 111
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:23:15.732485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 304f94a4-5d9a-4d86-8231-e024dc95846e · inbound
Prior Bias in Vision Language Models on UML Diagram Interpretation cites this paper.
Prior Bias in Vision Language Models on UML Diagram Interpretation LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:36:12.761601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89f2450e-dd16-4105-86c1-c29794ca0ac1 · inbound
PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement cites this paper.
PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:18:42.939955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 267946e7-2244-4386-af0e-61c9cdf05333 · inbound
HoloCount: A Holistic Visual Counting Benchmark for MLLMs cites this paper.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.890924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7d673884-3a91-41fe-9f56-e3a60ee1c1ab · inbound
Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions cites this paper.
Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:58:02.738098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.