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Paper Citation Record · LEDGER

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models

As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2505.20569.

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

pith.paper-citation-record.v1
2505.20569 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:57:08.881874Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:37:28.363858Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34eeaf5e-3200-4458-8dcd-5aaad2a6ef4a · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:57:04.656280Z digest=sha256:a5f6e2acd09bfef4499e284975c1c062b4eb8445220e6c3f43d0c5faffce09c7

Observation 4b0ec7fe-3739-42a0-a1f4-068f3e2306b4 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 2

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source=arxiv_source observed=2026-08-07T13:57:04.823805Z digest=sha256:3656c01d98afec1922826ef3c69eba42fd496335d6c4f36e142961289f7c7e98

Observation f2af5c87-5a4c-4cd9-ae79-94ba2734933d · outbound

This paper cites Multi-Object Hallucination in Vision-Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Multi-Object Hallucination in Vision-Language Models

Reference 3

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source=arxiv_source observed=2026-08-07T13:57:04.932789Z digest=sha256:e8c0d2f4b83a871b906fd5f825fb3bdae4ec90cbd9c55c7808c0157bc75dd29a

Observation dfc26a15-e545-48ff-9b6a-480150f9c2bc · outbound

This paper cites HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 4

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source=arxiv_source observed=2026-08-07T13:57:04.996922Z digest=sha256:51a01f61d24c5b82e3d8a089b5b6d3820e229cea60cf73b037a080bdd73c8153

Observation cecfd28b-9d39-488b-a6d5-9b3f84aceaf8 · outbound

This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 5

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source=arxiv_source observed=2026-08-07T13:57:05.186289Z digest=sha256:5a5e223aca2b9ff4c1f3125b4fb05865b6412bef525287f3f31d4b5e4977c19b

Observation 768832a9-f603-4e34-b418-b6814546e022 · outbound

This paper cites Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 6

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source=arxiv_source observed=2026-08-07T13:57:05.334727Z digest=sha256:fc66079f43b2ae693ca8fb7a4a7fbd1f7b0c952ceac90872d49cafea5dcfc6c7

Observation 02755600-d189-4e22-91ca-c0e20b1f0fe2 · outbound

This paper cites Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training

Reference 7

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source=arxiv_source observed=2026-08-07T13:57:05.423606Z digest=sha256:b8d91758c62a0b3b1fcff09dfc98a8e0c2d3a221e1399875e8375c078e53f247

Observation 8f478808-6e42-47b9-93af-d5850e17afa8 · outbound

This paper cites Multi-Modal Hallucination Control by Visual Information Grounding.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Multi-Modal Hallucination Control by Visual Information Grounding

Reference 8

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source=arxiv_source observed=2026-08-07T13:57:05.558057Z digest=sha256:90bb938ed8fa51adae03ed96ca3af9aeb1aa83706eacfa32559a0c5bc0f62599

Observation 8ef1d59f-520e-41ea-a066-5f7fe2ea0c10 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 9

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source=arxiv_source observed=2026-08-07T13:57:05.683369Z digest=sha256:1ec53a716a0315323deefb2011baa5fa6d993a76d27ab43a1954b6f9945101e1

Observation 7e36c277-b5d2-4525-94eb-2bba019c754c · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:57:05.799634Z digest=sha256:2f061bac27593b8c633c1379dd9c99ba632d74f635c7cdf52596f9ec95dfba85

Observation 76449b1a-149f-43e0-b9bc-edab796cc5b9 · outbound

This paper cites Detecting and Preventing Hallucinations in Large Vision Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 11

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source=arxiv_source observed=2026-08-07T13:57:05.910372Z digest=sha256:f4e06b4f5d4366e21d80a6cf71ae63423c5559df86db82b5267408c73a3e5a2a

Observation ec507330-4554-4809-a471-3ec85a7f269c · outbound

This paper cites OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Reference 12

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source=arxiv_source observed=2026-08-07T13:57:06.012057Z digest=sha256:8854a2a08c160beaf8123d7d809fc073199a39a2da38e0ba117f5a39c2e29331

Observation e6595046-8b54-4a70-a9a5-f3918fbb52ee · outbound

This paper cites FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback

Reference 13

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source=arxiv_source observed=2026-08-07T13:57:06.069990Z digest=sha256:88b2f78619095b00bf57811ad9286c527d1600474142261fa4c5a1751580d025

Observation a21c023e-7bec-4db4-b5c7-e534f5225d1d · outbound

This paper cites Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Reference 14

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source=arxiv_source observed=2026-08-07T13:57:06.152910Z digest=sha256:b1000a5ca706d79bf939a27369263ddf1b26c39ee346354be2756a68184b9d81

Observation e2627020-ecee-4af8-bf96-e14e97b7d298 · outbound

This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models VisualBERT: A Simple and Performant Baseline for Vision and Language

Reference 15

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source=arxiv_source observed=2026-08-07T13:57:06.232028Z digest=sha256:784e4c69701e13cd481533708b258af18ab4b675b0325e98c20f2df7125bf38f

Observation 728b9cc7-264a-4650-8aff-a6b9f3b47783 · outbound

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

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 16

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source=arxiv_source observed=2026-08-07T13:57:06.326329Z digest=sha256:79760ce5b8b39e035d984fee78fa45098d872d4d8ec21e88a2d2259e2af0a3e9

Observation 074ad51c-4587-4436-99dd-051a885731ce · outbound

This paper cites Lawrence Zitnick, and Piotr Dollár.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Lawrence Zitnick, and Piotr Dollár

Reference 17

Resolution
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raw_fallback, observed 2026-08-07T13:57:10.530558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:57:06.417771Z digest=sha256:5054984c2b4ac17b3d462182b694e7bcd64d922ee2982cfba41f067f2bc222c3

Observation 0a79d8e3-d738-40a0-9872-e6ccc67b75ff · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Improved Baselines with Visual Instruction Tuning

Reference 18

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source=arxiv_source observed=2026-08-07T13:57:06.498171Z digest=sha256:d607902c2332b7717cb928d026d41dd7bb4a1ce3d2aaa67fea027d97372ac394

Observation eb8cf68e-4d4c-43b2-9d0a-97a9d55c9f6a · outbound

This paper cites Visual Instruction Tuning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Visual Instruction Tuning

Reference 19

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source=arxiv_source observed=2026-08-07T13:57:06.573326Z digest=sha256:72e263d693734d140888c755815073b4eb6777552681ce9e4985b589057d24f9

Observation 3d26b293-d6f0-4f4e-9892-c3db1471e7b4 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 20

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source=arxiv_source observed=2026-08-07T13:57:06.655065Z digest=sha256:a0827f1558c7ecfbf386d60d2ded6cdb2f8625ae0209d986f9180ca8b2ce8a84

Observation 7438f1e2-92fd-4f68-abf1-110806346947 · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-07T13:57:06.756096Z digest=sha256:8f0f35be90ec29368d3dd286341585991686dc88da2717e7a248e421e0993761

Observation a001e65f-61cc-4c34-a37e-57180f1f1d8e · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:57:06.848752Z digest=sha256:8436e89a9515d4c7739adcee47ea0bf0c8c5b3a61987ce648cb6683cb4a68b32

Observation cabe06f7-7a52-4b5e-ad51-07901fee79d7 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models You Only Look Once: Unified, Real-Time Object Detection

Reference 23

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source=arxiv_source observed=2026-08-07T13:57:06.975467Z digest=sha256:78d59a17ce6c55775e80c669307ff69b178d027798a7b70a6319e23e3d9c4c39

Observation ddf90a31-3ae9-4a81-8965-31e8e976c0d5 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models YOLOv3: An Incremental Improvement

Reference 24

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source=arxiv_source observed=2026-08-07T13:57:07.064807Z digest=sha256:c3e5eebd7fb3f37cee137247073cf5b4caab1da11195de5922d9695de666a7b8

Observation 138354a8-d411-4f8b-b720-d71bcc1e030b · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 25

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source=arxiv_source observed=2026-08-07T13:57:07.151000Z digest=sha256:6991b0e4b488204c4a9a1cfccbbe57f960e502f302a566ad6c23037431d8c779

Observation d7b3cc02-afcb-46a3-9d96-e332d89c99d2 · outbound

This paper cites Object Hallucination in Image Captioning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Object Hallucination in Image Captioning

Reference 26

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source=arxiv_source observed=2026-08-07T13:57:07.201183Z digest=sha256:87d2270df382cb82024e582858914dd4fdaccb15bfc3cdd54bdb14fdf60353e0

Observation b6f73b40-05ed-49b7-9077-a0226a82675d · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 27

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source=arxiv_source observed=2026-08-07T13:57:07.290073Z digest=sha256:cc5236da148a74e9352bd1b42856f0a024ca6ae0087d4844808ed1657d9c0c6c

Observation f3ba0300-05e8-43ea-a7e6-2f2c36a0b7ca · outbound

This paper cites How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 28

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source=arxiv_source observed=2026-08-07T13:57:07.419635Z digest=sha256:030c47b4f99fde8e8a7819db4f8e0844b6a6e6ea2b8aea789863f7b6df87e144

Observation e8e7624c-6130-4566-9961-ac571b1be60d · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:57:07.507037Z digest=sha256:37c5f5bd3e1f761208b77bba77a5662f59495cf49608617a97cb16d1cac21c69

Observation 0a88e899-1342-4aa9-8451-2ebbc5fc1aad · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:57:07.619332Z digest=sha256:c48225811935366b44b4834c7f69a3a75ff79ae2f45b3f6596b1218c48a67e6e

Observation c98dafb4-293c-4733-8528-d5619c45cda9 · outbound

This paper cites Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences

Reference 31

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source=arxiv_source observed=2026-08-07T13:57:07.707953Z digest=sha256:cf8215f4b071d3560898a5fa7453cc6c446d97f7bfd4f4e6356d2dd0069da5c1

Observation c17df068-c0d2-4f71-849e-0885b32ad3ce · outbound

This paper cites Mitigating Object Hallucination via Concentric Causal Attention.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Mitigating Object Hallucination via Concentric Causal Attention

Reference 32

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source=arxiv_source observed=2026-08-07T13:57:07.818416Z digest=sha256:28a7a84115b67b2504340967387dd6b24332f8f6cb594a464593f2a66e35f890

Observation 19791cd6-72dd-400f-83eb-ced73d7df9ea · outbound

This paper cites 1.58-bit FLUX.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models 1.58-bit FLUX

Reference 33

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source=arxiv_source observed=2026-08-07T13:57:07.883088Z digest=sha256:66e87cc0727d8854219b45c0ef6ed872afcffce3e717d7e77a21af95739ef191

Observation d8528352-8d02-4a0c-833f-6dfa3dd0dadf · outbound

This paper cites Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination

Reference 34

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source=arxiv_source observed=2026-08-07T13:57:08.014388Z digest=sha256:d1b2efa3dc093196622fb44ac19eefb1a168e76c7f5e69f99ab092d7da6118b1

Observation cb6986d9-0bcc-4784-8bdd-a9e63fc458ca · outbound

This paper cites mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

Reference 35

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source=arxiv_source observed=2026-08-07T13:57:08.123698Z digest=sha256:041f53115ce26712b5ed3da3c1a2ba9e33422beb0686b816cb8fac8723cdaef0

Observation e83e4ae2-2457-4ed9-91c9-dba95fd3cc7a · outbound

This paper cites Woodpecker: Hallucination Correction for Multimodal Large Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 36

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0bd1de4f-f77f-40b0-a076-e7e05314e219 · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 37

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unresolved
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Source-reported events for the cited work

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Observation 1bc47176-60ef-487f-8889-e05e1b7733c2 · outbound

This paper cites RankCLIP: Ranking-Consistent Language-Image Pretraining.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models RankCLIP: Ranking-Consistent Language-Image Pretraining

Reference 38

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0557824b-a3cf-4e0b-a460-c4e2d170abb1 · outbound

This paper cites Aligning Modalities in Vision Large Language Models via Preference Fine-tuning.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:08.373304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63fb1114-f96c-4af1-9f71-fd975f26435a · outbound

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

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 40

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dd3c1c48-e6cf-449b-ae98-f87ccad78703 · outbound

This paper cites Calibrated Self-Rewarding Vision Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Calibrated Self-Rewarding Vision Language Models

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 47c14120-2f3a-4816-8e24-4dc1322eb523 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 42

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b8ff9c9-bc7b-471f-ab2a-406c2ea72798 · outbound

This paper cites an unresolved cited work.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Unresolved cited work

Reference 43

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a6080b69-957c-4a9e-a116-c9db8df073a6 · outbound

This paper cites online" 'onlinestring :=.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models online" 'onlinestring :=

Reference 44

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 916a41a7-7b03-4bd0-aeb2-6ccc19ff2525 · outbound

This paper cites write newline.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models write newline

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:08.881874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 6fb7b33c-b41d-463c-9269-b787fc946bb9 · inbound

MACD: Model-Aware Contrastive Decoding via Counterfactual Data cites this paper.

MACD: Model-Aware Contrastive Decoding via Counterfactual Data Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models

Reference 8

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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