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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:46fc513374ada47597b8f7a4479dd7fc9878479d73ef9b114696a7283cdcde5f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:ef7a62687331131b48da936c93cfa6606b33da2cb7ba80cfa5d4876e751ff028

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:2aeb1d534e50723366284e95ad403f74ed33e58ef5cf2a93ebc5bbca21489513

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:fb78827db97673c9f0d1171a02fe003abbeb27d82bd7a19f63a94c4074c6ed1f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:78d0df941dca15488b4df0e5604c5fbe0f64fcc4ce4354e1783bc479aa80b078

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:09f1a3ff1d04a863ab89c3d6f1a1b94cbf99592c92dc8c5dbbdf8ef860f730e7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:35593aaebf8614f92387d3c5f26bf34cd3129ce4d94e4451ddb510c982ac0140

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:d0f1a2cbbacf4a19ce38b840131f2c2023f15a1d279ed75edd5d95a93e18f77a

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:661f847682a30a11fc363bce84a63e55955082d75a70cd4af93d5a10a233192b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:3945f799f8cf54137df3d9879d51e7f516315aaff70063e078cd5906909e3bbd

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:99b67ee764d4598eb140d4917073a8940419b5015f6b3e42639588e70e39c765

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:619323c1c9fa0a550c0bc65d35d9f26fd4b12bff5cf62c98f5f4b912673699cc

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:ab854cfa202db4e039df954598c9b7673dcda6e4faf8598503c29f888c4a3e68

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:c1333ebc2339afbab67b024cdf44ef633ea52f353e75d0747dabfc1f44d0274b

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:710dee51eea6248a4b476ce547ce6ea47be976bba741087ddfac0edcc55622bf

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:5f224f6cea244bc2c5c73093891a8cb75be789ac7059d849fc200ee967613a3f

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:9c0d121be70e3e9f160ba2c88f508035671f6dfc845b6dd7ea58253edaf07162

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:16adc5bd2f198706d813b76e328ffbc8d4d029aa3c31d57d20e614965eee22a6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:df107106dd99af9ef02da1076c89ae043bfa758dfb7000439bb497860a5aeb8f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:ac2a3c7fed404f50029736718e70f405a2dc1a79907e287e3db2268d3ff3a75a

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:969bac37f20b817bfbf9feb39544fc5b72d5c4ecf089e45b3f9d4a566f12d824

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:34d0003a96010ddcfc4540222fec20dfb0697213b5884b58b6f5fb3aa38a08c5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:49ae2a5ea198eec7e5b5c8c21f625839865bc0473ab00d3b0d891a043e830168

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:67a5e24c0cb2b70021f815f17220345393605d73c8f81d450099c2f7f1c54458

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:7e311be660115674f6a14de9281e143f4e9f672e9d93e2468f37e09b7cad886d

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:8a15d3158de507a8f494154c68991c7c32ba12222f9e2b5461881218f635fdf2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:01d23d2194c4b3a65b7cb5b88a6be4ab8632b0d27d7a5edddde28a1199fa30f6

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

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T03:16:45.483553Z digest=sha256:46fc513374ada47597b8f7a4479dd7fc9878479d73ef9b114696a7283cdcde5f