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Paper Citation Record · LEDGER

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2604.19412.

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

pith.paper-citation-record.v1
2604.19412 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:16:45.483553Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:16:45.483553Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T12:41:03.021975Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact4
  • verified fuzzy19
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7561834a-475c-4366-bd59-2feddbc445d8 · outbound

This paper cites VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T12:41:03.027938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5f5bc6f0-68ec-4a0b-82f7-d12588e474c7 · outbound

This paper cites an unresolved cited work.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-05-22T17:16:51.263512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a5be9d33-3cc9-4e3f-8879-1a610eb1d980 · outbound

This paper cites Problem Definition Mathematically, an LVLM can be defined as a conditional probability distribution: p(y|x,v;θ) = TY t=1 pθ yt |y <t,x,v ,(1) wherey={y 1, y2.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Problem Definition Mathematically, an LVLM can be defined as a conditional probability distribution: p(y|x,v;θ) = TY t=1 pθ yt |y <t,x,v ,(1) wherey={y 1, y2

Reference 3

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malformed identifier
raw_fallback, observed 2026-05-22T17:16:51.269515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:ddac0ee3b71f6164e4f9de21b31611fefbd0c876d22f081461d2e5b9c4f58596

Observation 13dbed42-0e8a-4a1b-8d0b-ebe4200a1c48 · outbound

This paper cites Experiment Setups Datasets.We evaluate the VCE method on popular hallucina- tion benchmarks: POPE [18] and CHAIR [19].

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Experiment Setups Datasets.We evaluate the VCE method on popular hallucina- tion benchmarks: POPE [18] and CHAIR [19]

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.266506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:c4cec4d1e440e26236d93ee593731cfaeb4b1184f096f0e05d10fd77e8adf784

Observation 2369eac1-6aa4-487b-80b0-a13cc11c85f3 · outbound

This paper cites an unresolved cited work.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-05-22T17:16:51.325352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:94907b0668d4c96bffb0f8ce4397cebe1e3cc4b256e0d0bb3af9b2abcf2a5869

Observation 23a44f56-fffd-44fe-978a-1f352aa1b228 · outbound

This paper cites Ai flow: Perspectives, scenarios, and ap- proaches.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Ai flow: Perspectives, scenarios, and ap- proaches

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.328555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:99c13e8f9fc1517ea452f4fd34ceef763c1d8d55218c0e03368a56b45dbd0c0d

Observation fe7c2518-df9d-4540-8a06-26d3b0bcc1ee · outbound

This paper cites Transfer metric learning: algorithms, ap- plications and outlooks.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Transfer metric learning: algorithms, ap- plications and outlooks

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.331187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:1e36c6b0c8543fdfcdc32075068999580f319d5eeeb7fb3bfeda8c2326ba571a

Observation e791e6f1-0b9b-4049-bb04-92271c782f2c · outbound

This paper cites Evaluating object hallucination in large vision-language models.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Evaluating object hallucination in large vision-language models

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.309472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:3259ed876898eb42f2fbb3bb9b385e81badf905b14f20efdf92dde29f8924e40

Observation 846dd7f7-1b90-4464-8088-c56dfe4c37c6 · outbound

This paper cites Prompt injection attacks on vision language models in oncology.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Prompt injection attacks on vision language models in oncology

Reference 9

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raw_fallback, observed 2026-05-22T17:16:51.312888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f27317ff-78b8-4094-b1fc-bcb62436d8c2 · outbound

This paper cites Towards attack models in autonomous systems of systems.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Towards attack models in autonomous systems of systems

Reference 10

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.316656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:b4d05adedabf2c7b53d2bd6276c66c865a36be3cfb295fb7ec82cb9fa34d5b1c

Observation f6fb7c2a-dc77-4155-baa5-2a578426d52c · outbound

This paper cites Hallucination mitigation for retrieval-augmented large language models: A review.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Hallucination mitigation for retrieval-augmented large language models: A review

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.319772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7bcc852d-f1f2-4131-a18c-5f45e191f15a · outbound

This paper cites Opera: Al- leviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Opera: Al- leviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation

Reference 12

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.322778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:89ac2e29ba76cb925290d07fdb252ecd53c6d85cf63619cf5ab67bb1600482a7

Observation 63d78635-2af5-4eac-9ff7-0cf12b2e329e · outbound

This paper cites Truthprint: Miti- gating lvlm object hallucination via latent truthful-guided pre- intervention.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Truthprint: Miti- gating lvlm object hallucination via latent truthful-guided pre- intervention

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T12:41:02.987352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:22ce7baebc8b5b3a01157d3ab34891535f0bc6da71e383131b405fb75425033f

Observation ccb4359a-1908-40c6-a8a9-0757ec99aa16 · outbound

This paper cites Woodpecker: Hallucination correction for multimodal large language mod- els.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Woodpecker: Hallucination correction for multimodal large language mod- els

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.294747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:d0c24f8a8b847e6ebf360ea5f09889bc402a2a569da89bbcef38599181d319fd

Observation 075317f9-aa90-45e1-9faf-403a73326179 · outbound

This paper cites Alleviating hallucination in large vision- language models with active retrieval augmentation.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Alleviating hallucination in large vision- language models with active retrieval augmentation

Reference 15

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.298287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:2b2ef16ed4e968d9e786cd7c95af5b41591d926ab273d2df15b99588fd0b35e2

Observation ed48cb7b-9547-43c8-a956-38305bb875d7 · outbound

This paper cites Look, compare, decide: Alleviating hallucination in large vision-language models via multi-view multi-path reasoning.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Look, compare, decide: Alleviating hallucination in large vision-language models via multi-view multi-path reasoning

Reference 16

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.291548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:127baa6c9f075c7f43572d48a1bd6649cd1371822ea150b6c11f4566b454caf7

Observation e2e724c8-a978-4aec-ac97-9634080df089 · outbound

This paper cites Mitigating Multilingual Hallucination in Large Vision-Language Models.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Mitigating Multilingual Hallucination in Large Vision-Language Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-11T12:41:03.018048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:98c203b9d87b5f0b91bfbabceaab7e5435798dc1377bb01911d0440681bbee6b

Observation eaf5175a-dd19-4417-855e-80bd8f25d913 · outbound

This paper cites Analyzing and Mitigating Object Hallucination in Large Vision-Language Models.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:46:52.958092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:89a5c6ee9939bb867a70e3e83be1a3969ee7a1bc247b102a202c403c55cd7897

Observation 7050b9f7-ab68-4eff-8bfa-64f899aa2713 · outbound

This paper cites Dola: Decoding by contrasting layers improves factuality in large language mod- els.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Dola: Decoding by contrasting layers improves factuality in large language mod- els

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.278280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:4d7f0fa1ac58d18960d6a21d2a84906e0b89a68c3b9d579e7f070275ee3da7ae

Observation e3a4a9d5-d6bb-4005-b721-d0b0193f8f90 · outbound

This paper cites OPERA: alleviating hallucination in multi-modal large language mod- els via over-trust penalty and retrospection-allocation.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing OPERA: alleviating hallucination in multi-modal large language mod- els via over-trust penalty and retrospection-allocation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.284625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:a0486ae7d7b9f2f16e026c05ecf0536a53a598a24321c6829860bc0c8e25b685

Observation aae08888-6c8a-43fe-84f1-98476c56a141 · outbound

This paper cites Mit- igating object hallucinations in large vision-language mod- els through visual contrastive decoding.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Mit- igating object hallucinations in large vision-language mod- els through visual contrastive decoding

Reference 21

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.272514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:2929f1c9a8e349f357987a62f16cf8e66c64a640f8c2a3c90f87a3d27e55c123

Observation d47afba3-eb47-4063-bdef-18dd605367bb · outbound

This paper cites Denoising dif- fusion probabilistic models.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Denoising dif- fusion probabilistic models

Reference 22

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.305911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:0c1978dd047fc39880d114b3a27499ec242d3ea0561866f33e13e7e449ad09ba

Observation 6985e4a8-ea3c-4937-8a6e-d68b72d86e3b · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Evaluating Object Hallucination in Large Vision-Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:44:10.072171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:88d7d12f8dfe82d0488f5884e1c11dc2b7975b7306d7dec3da0a77820cf02cba

Observation 03c406fa-1b16-4c25-9e7b-d436289300d1 · outbound

This paper cites Object hallucination in image cap- tioning.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Object hallucination in image cap- tioning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.274992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:088ca5a82f766d184d6068f01f6bf06a911ed78ca91bc282b9a3914609545a1a

Observation ffe0272e-54c5-4a49-9e50-bcca177cf6c0 · outbound

This paper cites Im- proved baselines with visual instruction tuning.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Im- proved baselines with visual instruction tuning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.281594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:16ad6e492ccdc8941f0e6132be54b577638d56ea5f9daa350e4a7d24cb30c17d

Observation aac285ed-477f-49b3-b69e-b1fad1280117 · outbound

This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Minigpt-4: Enhancing vision-language understanding with advanced large language models

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.287992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:78bcaddcfa8de6c50c6bf6671ad321239f45f4f8aa647f4098510284fe95bb23

Observation 9b33b356-efef-45c6-ac2c-56b34d3374eb · outbound

This paper cites mplug-owl2: Rev- olutionizing multi-modal large language model with modal- ity collaboration.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing mplug-owl2: Rev- olutionizing multi-modal large language model with modal- ity collaboration

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:16:51.301670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:bcfdca74c25cd4774f99e36831f5b1fca6523a1f9f4ff5975fff59f6c9580d0a

Pith citing papers

Observation 7561834a-475c-4366-bd59-2feddbc445d8 · inbound

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing cites this paper.

VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing

Reference 1

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metadata mismatch
local_arxiv, observed 2026-05-11T12:41:03.027938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:00ad864f2f4a2548eaa282c1c800401abbfaa020b8d20ccb1bc0e039d1ed2a3a