Paper Citation Record · LEDGER

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2404.14233.

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

pith.paper-citation-record.v1
2404.14233 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:19:45.852589Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T03:19:30.624198Z

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 a97de5da-d5ed-4d7f-b28e-ca623be17871 · inbound

Hallucination of Multimodal Large Language Models: A Survey cites this paper.

Hallucination of Multimodal Large Language Models: A Survey Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 178

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:33:33.187256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36af26ce-af39-450a-aef7-46d7bc745b09 · inbound

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models cites this paper.

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:58:39.585392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation abb57ec7-d839-4ee2-aff5-5ac93aeef63a · inbound

Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs cites this paper.

Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T16:19:45.852589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88bb567c-e926-4e7a-b70e-0b643059a907 · inbound

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts cites this paper.

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:02:43.313619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1fd18c49-e904-49fd-849c-c7984e9395c4 · inbound

Extract Free Dense Misalignment from CLIP cites this paper.

Extract Free Dense Misalignment from CLIP Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T04:45:25.196920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 787cbeac-abcf-49ba-a7fc-8f8ff1e9f3ad · inbound

Probing Visual Language Priors in VLMs cites this paper.

Probing Visual Language Priors in VLMs Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T22:55:54.256509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02fd68d-d5a0-4853-885b-4294c3ef7a87 · inbound

AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs cites this paper.

AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:53.554316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cfa7c98-7c5c-4dae-8e6e-c7c24ec82615 · inbound

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key cites this paper.

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T19:52:09.034994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c874a49-90ff-44fe-826b-1116a7e743c1 · inbound

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization cites this paper.

Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T11:06:14.416463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25f123e3-86f5-451f-b8e5-c850ee76eddb · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 210

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.354348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b83196bf-c051-4d16-b3fa-47a4e986b32d · inbound

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding cites this paper.

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:27.832973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f6a8ad6-ab43-4e82-8b61-fcdb73ba4dba · inbound

LPOI: Listwise Preference Optimization for Vision Language Models cites this paper.

LPOI: Listwise Preference Optimization for Vision Language Models Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:57.781749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ad55671-c59b-44e9-86e0-16f155a088cc · inbound

Mitigating Object Hallucinations via Sentence-Level Early Intervention cites this paper.

Mitigating Object Hallucinations via Sentence-Level Early Intervention Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:35:32.542248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 40d38145-8f16-4a24-9be5-f7d8969a19f7 · inbound

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination cites this paper.

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:16:24.385179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41f26c5a-03f2-4a08-aba7-6946282bf94f · inbound

Spectral Query-Key Product Weight Steering for Training-Free VLM Hallucination Mitigation cites this paper.

Spectral Query-Key Product Weight Steering for Training-Free VLM Hallucination Mitigation Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:30.626874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ba5ce4d-0511-44f2-b9ff-28e9724bce8b · inbound

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs cites this paper.

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T04:15:38.910266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.