Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:57:10.953634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:57:04.656280Z digest=sha256:2a1a633aad5ca73947e9dd155b103c88dcf5cbd0ea6b790f5f5bdaeb96ef7983

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:04.823805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:04.823805Z digest=sha256:2f08d3f516783b0d0e1a950fadc12e60e0709ad621cfe22f8b8c2da0b96eedae

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:04.932789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:04.932789Z digest=sha256:56f1b1355f1601d81835816a46a9d6ed436a31d13a9907ca123c5a6747dd713c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:04.996922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:04.996922Z digest=sha256:06b0a9a517b3ad15605037d35c4ee9351e2f21184eccbe718bc0fbe92ccfb1b2

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:05.186289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:05.186289Z digest=sha256:82e5855518f79894fada7bfccbd065d7ba5a5df5e7466c24a91d3f1a0db88204

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:05.334727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:05.334727Z digest=sha256:15b95b53a431eb1ead25f28d9dd2fe2066e484a1aa367fd63cb52fe2a27dff73

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:05.423606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:05.423606Z digest=sha256:fc67b319e2fda8bae786bed8398ba9e4dcee0e342fe36c01b0452464f83f80c3

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:05.558057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:05.558057Z digest=sha256:145dbfa97d48fb2183e37b7ff1e728eac3fef5d04c6fb8a49873b77c4eb1c170

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:05.683369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:05.683369Z digest=sha256:addaffcc63eae848091fcd23b2f2d07efc0deaf421266e920e51df7200b2bf54

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:57:10.764204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:57:05.799634Z digest=sha256:d25b7a4e4ff70ac37bb3929be2ab9a11815c65fadabc1fb6f46769cced1b4f4f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:05.910372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:05.910372Z digest=sha256:2aaa70b40361b364311b8248456b03f25db6290e90c44586cdc30c120a6e627f

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.012057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.012057Z digest=sha256:3e208fdcd8ee13552caa864bca1dfad5bb20eb79bf7b36d85245273c01ee5f48

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.069990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.069990Z digest=sha256:7ec239663813d36acb849d1df060b5c2aa99388100c218fb2b361a9f5f504c92

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.152910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.152910Z digest=sha256:f662083c6576fb106f82fefb8927d5257493cdecedd27bb4fd05a7a0c0cc2b47

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.232028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.232028Z digest=sha256:b841c5171789b50a52256d7ebc9feb74b16fb79857d7011c53adddf8ab3bb969

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.326329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.326329Z digest=sha256:767b9cec6bc993e72d2c0e473e2a0da050841ba8b6e03c8e57781ba86fd32914

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
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:57:06.417771Z digest=sha256:cc744c1b27d721b636449432c13f6dcacaef600b70905a0f396006e20f16c80c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.498171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.498171Z digest=sha256:c096820f21b624a798391edda02cde0b469178a93361f68d2a3cbe40b9641093

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.573326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.573326Z digest=sha256:9a6e7672e933c487b2a85cf22d35918a1b5429bbf831b88228691da4317431e4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.655065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.655065Z digest=sha256:64798f0a209da933101d4bd9845c4487a599a7d85cccad4fb5e6bda5dc31ee9c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.756096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.756096Z digest=sha256:7ee2ed8a4bdd234bc6a8e509eb385a99d7f02ddca17891b24be3772cc6ae1cde

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:57:10.314448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:57:06.848752Z digest=sha256:e7f811eb4989a5d9ebc7c095607f58c1b2c1a05c319e73e3197003019d7d6e62

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:06.975467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:06.975467Z digest=sha256:04cc961be9174905175d3716f6227a9ab5533f287b8981ae284f345b8619613d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:07.064807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:07.064807Z digest=sha256:f6672d1f8f7e7c40a2633387e46c90145048c0ce38e2d4fbda4e61d6cd76953d

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:07.151000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:07.151000Z digest=sha256:21c0198b81100d9c2117d1895c91a4342b326a16b81066b1873e5ee46c9dfda5

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:07.201183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:07.201183Z digest=sha256:71c1a327217d67e88536c69f862c5bf3bd9f7079010cd4dc16ac2dfe544240f6

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:07.290073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:07.290073Z digest=sha256:b6c7de084f0468a632f74767a776a345aa7b4cf1a092743dd712bf97e849b38c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:07.419635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:07.419635Z digest=sha256:719cc94f4e3a264f20381a5d66d15cdaad65f3d8b113470bd452a19865ce2edc

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:57:10.127174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:57:07.507037Z digest=sha256:2c0ddce3ede88f0f876b99a0cf53bd835592c367d39e7da5dd8836ce4238de2d

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:57:09.889993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:57:07.619332Z digest=sha256:397f4015bae12bf370e6322b5b0620be5f4e4fec9af8dad254ea2a678e104b5e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:07.707953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:07.707953Z digest=sha256:16b90b068b44dfa61f3d8e6a5c67d972189c57bf27242be5b038586a2fc70f85

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:07.818416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:07.818416Z digest=sha256:9a4a0df79ad7337fafd2d93bd00617f53563eaf8f521df328085e4fe2fdacf8a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:07.883088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:07.883088Z digest=sha256:0499835e371b07b0f6e2509b66267580e868aeb8b971f1c5a076749d7179e3bc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:08.014388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.014388Z digest=sha256:4704c2701a50d608501a75eeb85fd29f137f37245297cfa55e81edcb555035ad

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:08.123698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.123698Z digest=sha256:93662facc5a0b03481517ac9da20616d1390ec00e1545e7ea03ede062677800b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:57:08.188057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.188057Z digest=sha256:eedf8fa075f63b1922a0a2424440fea9cf6195c8baac553a175eff9b6105a831

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

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:57:09.666297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:57:08.234156Z digest=sha256:7abcbdb690aef24e7a09890913020d5d242da999a9ba8670a82e0420b5bd46cd

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
unresolved
no resolver link, observed 2026-08-07T13:57:08.302098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.302098Z digest=sha256:dee2ced0f2f80c6dcee6190d5f6006fe846aa58b46a326a64c07c9476aa5aa64

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.

source=arxiv_source observed=2026-08-07T13:57:08.373304Z digest=sha256:436aab54aa05a9851874d144223d5f92c905524c5d3a0c3c5aec6a362238557d

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
unresolved
no resolver link, observed 2026-08-07T13:57:08.442796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.442796Z digest=sha256:e608d387793ab0ca6a82e8c6358118a4540181ffd5a181f153e76716db193a6f

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
no resolver link, observed 2026-08-07T13:57:08.553405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.553405Z digest=sha256:df45f76a2b80e0a6bbd3cfe4b51222af514a2b45d8486f3b844591d92b046cf5

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
no resolver link, observed 2026-08-07T13:57:08.643750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.643750Z digest=sha256:38c4722acd545c62a75d37c34bbca771ec1cf525d970e7152a17214b4cedce6a

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
raw_fallback, observed 2026-08-07T13:57:09.504860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:57:08.729588Z digest=sha256:ea3b3b3bad3908dc7b570c1f3b9d7a6e34f550a5ef62c10b8695c7967aea895d

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
no resolver link, observed 2026-08-07T13:57:08.814587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:57:08.814587Z digest=sha256:348de4073f6576feaf0a9ab64c08016d28956ac39380d3b5a0dea79d9de270a2

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.

source=arxiv_source observed=2026-08-07T13:57:08.881874Z digest=sha256:d2180ff8f8d31808826e353b42d8761113410d9ed6daff6bf1280a7c2d59a970

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

Resolution
unresolved
no resolver link, observed 2026-08-03T05:37:28.363858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:37:28.363858Z digest=sha256:acab8c8c70de16054bd92edcaa964d28a9f08a936855242961aa691f6edd0859