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Paper Citation Record · LEDGER

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2311.01477.

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

pith.paper-citation-record.v1
2311.01477 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:09:09.902004Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:35:32.641267Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 8b8ff34b-624b-45da-bb7c-4d15b5057232 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:56:42.044722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T02:56:41.658658Z digest=sha256:37605bc7b6da803372220137e24e4b139cfccfaaa311b2fbcfe08e5c08d8600c

Observation 3b3bd5f7-358f-483c-9413-2f90f326360b · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 146

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.655924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:cff7f13d2c47b5ea54d37074390ec6d7c8bcc1740d04b421d78f4ab82e7c09d5

Observation 0b7a7f89-cb4a-4b95-bcb3-fc030734783f · inbound

A Survey on Hallucination in Large Vision-Language Models cites this paper.

A Survey on Hallucination in Large Vision-Language Models FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:10:10.302079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T22:10:10.186950Z digest=sha256:9b74c650ccda7ea74c7e83b8d975129ae1caea94637624a6b3b84ba72c3ff886

Observation 6224e6dc-efbe-4aaa-ada5-ab5b49c29940 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.873392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:85673ea39cebdd680e70c49f1d5fc5a476c4b05984d5380b71cff8a5250c77e1

Observation 7605b9e2-e2cf-4856-8add-bf8b6aba6039 · inbound

Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination cites this paper.

Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T19:35:45.077022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:35:45.077022Z digest=sha256:581f41dd133f95e9413fe4cd6d401f223492da4bf378fbca0fa21a072beca4d6

Observation 166c4e59-b61d-48aa-bac3-f2c373f20841 · inbound

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models cites this paper.

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T11:31:36.834922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:31:36.834922Z digest=sha256:2bc4165001a7b7c53bce45c99bae32b3cfca59fc98779cfec2078b80d96986c9

Observation c992c0a2-7dc5-421f-ac95-62ad52703d06 · inbound

Detailed Object Description with Controllable Dimensions cites this paper.

Detailed Object Description with Controllable Dimensions FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T10:35:47.985941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:35:47.985941Z digest=sha256:10a981fe5c36d4e7ba2e650545c99e05890d802bdab6f750317dd583d93348e0

Observation 54d42660-f8c6-4c10-84e8-6790d5ddcc56 · inbound

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback cites this paper.

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T11:09:13.161441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:09:13.161441Z digest=sha256:ea731feaed199747d495427fa4dd1c6b7bd8e9ffbba870c1faf4d0afd02348f6

Observation 081894b7-1eaa-4d19-a8e2-1c3f6eb2f635 · inbound

RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance cites this paper.

RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T21:46:02.885450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:46:02.885450Z digest=sha256:4951d3810aa0c46e41d5739085a49548639ed8d38eba4175dc3f72a87a193252

Observation fd1d568b-2ed1-4199-8241-9c91a0f9903c · inbound

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models cites this paper.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:09:09.902004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:09:09.902004Z digest=sha256:e99eeff2a1cf2610b3c5d64b79f7249a25eed9a5ca6a6441b0d87b3afdc88c6a

Observation 026ca8ec-ccde-4fa2-93b8-ab54718bd027 · inbound

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models cites this paper.

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T22:31:52.389931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:31:52.389931Z digest=sha256:80b634d4efb966213e475f95ffee594c67e254d69ba69465fcf985b8edc31430

Observation 9912df95-fa7d-4cd1-8237-f3540f2e2256 · inbound

Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning cites this paper.

Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T22:27:46.725827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:27:46.725827Z digest=sha256:7e39654d947505ca6ee0a850ca33ace781f8420885d13a531b881a76a4b25e23

Observation 82d868d1-8af9-44fd-af28-8e38f0dcee35 · inbound

Through the Looking Glass: Common Sense Consistency Evaluation of Weird Images cites this paper.

Through the Looking Glass: Common Sense Consistency Evaluation of Weird Images FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T22:15:34.230905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:15:34.230905Z digest=sha256:785f95ccea320f2396ca624a5cbe7522ac69a274fac24236687cc55b6609a187

Observation da982f1b-629b-4515-b93d-c3286663ce9a · inbound

Vid2Coach: Transforming How-To Videos into Task Assistants cites this paper.

Vid2Coach: Transforming How-To Videos into Task Assistants FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:48.072812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:48.072812Z digest=sha256:a7c798e615d9a1d9589cd97823ffbb1edf42e37ff1486ee961fe7a1261425066

Observation c9a6224b-e33c-4b5d-8107-1ccf937b0b42 · inbound

ARGUS: Hallucination and Omission Evaluation in Video-LLMs cites this paper.

ARGUS: Hallucination and Omission Evaluation in Video-LLMs FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:39.667967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:39.667967Z digest=sha256:1aee0c6455d1dd345d9074d0597686a4440f44736b8792685b412dd83291663c

Observation b6b89c0d-341a-4a0b-b224-898174e9821f · inbound

ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM cites this paper.

ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T19:53:57.516164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:53:57.516164Z digest=sha256:5b3d120ba99b92f39832dc20b8484fce9fea32f7d86c34ade95dbcaa27246bdb

Observation aa418cd9-35b8-46b4-be11-a940c3dcbfc1 · inbound

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

Mitigating Object Hallucinations via Sentence-Level Early Intervention FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:35:32.645095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T08:31:24.173135Z digest=sha256:b93ce4ac1a9c7a0dafa4e1ddb94a5b1d31e1b50f73a4945e652e33f8cb84cbe2

Observation 0f88172e-b663-4e92-a11c-bc906d74e741 · inbound

Improving Alignment in LVLMs with Debiased Self-Judgment cites this paper.

Improving Alignment in LVLMs with Debiased Self-Judgment FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T15:00:53.721839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:00:53.721839Z digest=sha256:63e4ffb6c8d2e29a3e6644c2525f8c41e3a992ab861bc589b23bcd854a7fddbf

Observation f1744d21-26b2-4c38-ba8d-a85d46374991 · inbound

SPECS: Specificity-Enhanced CLIP-Score for Long Image Caption Evaluation cites this paper.

SPECS: Specificity-Enhanced CLIP-Score for Long Image Caption Evaluation FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-05T10:38:55.966057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:38:55.966057Z digest=sha256:80f7d84908b9367351d1e4314a3eb32b5b34f695af8c8a3e3317eb4f197675bd

Observation 56ab9ab7-c407-4446-9404-58cb108cd0d5 · inbound

Faithful-First Reasoning, Planning, and Acting for Multimodal LLMs cites this paper.

Faithful-First Reasoning, Planning, and Acting for Multimodal LLMs FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:45:30.708782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T23:43:43.201888Z digest=sha256:dcb07cc656bdc16e39b75aa643487867dd74b4feb70ba877590bb45eb09fe12a

Observation b6bb8a9a-bbe0-40f6-ad0c-bd02e77755b5 · inbound

DualFact+: A Multimodal Fact Verification Framework for Procedural Video Understanding cites this paper.

DualFact+: A Multimodal Fact Verification Framework for Procedural Video Understanding FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:41:16.247574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T16:30:47.439382Z digest=sha256:dd686c5a56b27c58d8d720a372382c156620cadcfa512a2809bea3bf05a9d3ac

Observation 5193d77d-d5a6-4a59-b622-cec485fe9239 · inbound

BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning cites this paper.

BalCapRL: A Balanced Framework for RL-Based MLLM Image Captioning FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:15:58.018831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-11T01:52:27.764121Z digest=sha256:1ca702f865a442d5087a35dc1afff47463565bb69c7af8c00ab6a05c0df4ef5e

Observation c04fdd63-2263-42b1-baf7-b1f29cc0b0b7 · inbound

Reducing Object Hallucination in LVLMs via Emphasizing Image-negative Tokens cites this paper.

Reducing Object Hallucination in LVLMs via Emphasizing Image-negative Tokens FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:09:38.492297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T05:07:12.965100Z digest=sha256:c68cd63a473d3c64dc2f3b26daa14162e3bce8c910bad83d9e457b02fbc0b157