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Paper Citation Record · LEDGER

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models

As of 7 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 2 inbound Pith citation observations for arXiv:2507.09184.

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

pith.paper-citation-record.v1
2507.09184 v2

Coverage vector

measured 92 of 92 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:09:12.703445Z

measured 94 of 94 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:51:38.455604Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:36:26.495175Z

Reference resolution

92 of 92 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved86
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcebb80e-e67a-4e25-97e2-56bb1ba2fbeb · outbound

This paper cites GPT-4 Technical Report.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-06T18:09:03.518459Z digest=sha256:94ac0b925d9448cb279f4138ec0a8de8a19f8f733ad6a213a0bd321bd48fe3d0

Observation 5c794393-d107-468e-abe5-a893502100e3 · outbound

This paper cites Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention

Reference 2

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source=pdf_text observed=2026-08-06T18:09:03.588889Z digest=sha256:83daa7e3265246da1c40461df35c297d66bdbf4d2f992cb0017bfcfbc6e8383e

Observation e20b7a41-f9c0-40d7-a98e-2b6de4399a0c · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

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source=pdf_text observed=2026-08-06T18:09:03.664319Z digest=sha256:406945d3a3c7060e057f24bb9dfc50c29276312e1e9198249d1b377a2bafbd1f

Observation 067e49e4-3974-4d48-bb98-109e9af09b4f · outbound

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Hallucination of Multimodal Large Language Models: A Survey

Reference 4

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source=pdf_text observed=2026-08-06T18:09:03.731474Z digest=sha256:eadcf858e3ddb1db86143fcbdaf6c36a8293aecea8a780035f5b55bbde338fa5

Observation 9509723e-65e6-422a-91b3-75370563438b · outbound

This paper cites Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization

Reference 5

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source=pdf_text observed=2026-08-06T18:09:03.792864Z digest=sha256:29ea96b24c4410dacc147416fb0494f64a7e1c086866aebd426d87627c1284cc

Observation 7afa340c-5787-4514-80c2-8beb8f73cb60 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-06T18:09:03.866461Z digest=sha256:1a51d6da47a6e6cd8b37c90ac5e7859315159eeb4e467ebd1a69dae7d527f520

Observation 562b6634-6288-45ed-ba49-a75756a652e9 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 7

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source=pdf_text observed=2026-08-06T18:09:03.923853Z digest=sha256:eac69b78ac8859e6e374821fab81a0f5fb1b905de5a80da568df8099c47641a1

Observation 5b1933be-8023-4e5b-8442-87bcb0ce6636 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-06T18:09:03.986681Z digest=sha256:54a8fc656932b1f366b01911892fe2b6f425e9deddd6e1bc21637bc6b1562e72

Observation 8d1c7e93-45b5-4daf-ab47-9cc785785581 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-06T18:09:04.064963Z digest=sha256:1e11d5090b09fc18ac2e4308b3b98c7eb5c49b208f55a26eb840cdb2fcf0d9c3

Observation c5148b6f-529c-4d99-beaa-a12c442a3fb1 · outbound

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 10

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source=pdf_text observed=2026-08-06T18:09:04.223683Z digest=sha256:2c5a97bb43a4687adcb1db1ce9587e9f9f5dd8b6844ca9124bf17cfd773d5080

Observation 919ab78e-c58b-473c-8983-4e7ab5955ec2 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-06T18:09:04.347465Z digest=sha256:706ee00a21534f31d70898b9ab704b224f288bd20029c1c00538fd4001386c11

Observation 2bdadda9-dd36-46b4-93f1-9e6881235220 · outbound

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 12

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source=pdf_text observed=2026-08-06T18:09:04.462122Z digest=sha256:d9af924fac999aa5933fe53a4c6f775b7d0d3636df7eaf59d35aa0fcd44ac35c

Observation bd65fe72-c4f8-4534-8bfa-5a2cad63128d · outbound

This paper cites Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment

Reference 13

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source=pdf_text observed=2026-08-06T18:09:04.579677Z digest=sha256:3590eb1d37b968b62fba0c7ce99f83259ab1f4ce18616e6759974ba9158e8a59

Observation 9e2e0012-5847-472b-a7e8-8431c276e1bb · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

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source=pdf_text observed=2026-08-06T18:09:04.692520Z digest=sha256:e3f987fbbe245280a21bda71c015793b0c681f0f25e4a95e827b03f6ad3024ff

Observation e1ed03d6-08d3-44ef-ab43-bdaaa343c95b · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-06T18:09:04.807581Z digest=sha256:04b7d287e0402e523d0cfa6223972893f3538a61da764ea7df9bd51d7d35f581

Observation 6c1bdc78-d3d7-40f7-859c-d67faeb529a2 · outbound

This paper cites Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization

Reference 16

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source=pdf_text observed=2026-08-06T18:09:04.896638Z digest=sha256:1839f42969690452512fc93f6fdeca946b1fb2d81c3dc29e658978240bc31362

Observation 2f502d20-b7fa-464f-abf4-36a3c5722491 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-06T18:09:05.049067Z digest=sha256:2196caefadfcd5b31544256dcdbdf8e42986b555488459fc832f61818fbfecf2

Observation 238d7245-9b99-473e-841c-077b6568201a · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-06T18:09:05.127900Z digest=sha256:f50db7d64360d6524a6e8e334cf9ea64ddc18cec8c47702ef9f72d3f5ea10116

Observation 86ccd12d-3931-487a-93b3-21ff1e801e60 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-06T18:09:05.379941Z digest=sha256:dd068f896f1a1aeeec96fa511c565f3f1a0dcd3539d1d742667c5ca9d606c5dc

Observation f64a32b0-92af-4606-b52c-c0d3c58db9f8 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-06T18:09:05.517749Z digest=sha256:6100ca89237715739d3bfd771368c4333aea52a3def5cd5c6e528ac8b2e15426

Observation 81334f5d-63f5-4da6-8be4-d8f837c3ff1a · outbound

This paper cites Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models

Reference 21

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source=pdf_text observed=2026-08-06T18:09:05.646100Z digest=sha256:ad2d617ff1929f07335c3201039327b8fa58c410fd27f2d9be629d3b5e98c700

Observation 588c63e7-4251-4ee6-aee7-42ff6e68d7ba · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-06T18:09:05.749687Z digest=sha256:b6ce71340f2eeb8f6198a074c77fdb58f9ba422b152674eb773df9a8cb056895

Observation e4881b57-f331-4a78-9261-385bb74cc644 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

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source=pdf_text observed=2026-08-06T18:09:05.836181Z digest=sha256:6bb160e8ff522f31759d882b8a2d7cc81125f78092fbc279afcda7ae3b3f215a

Observation c90e75ff-a607-4d07-9d3a-49d149b9e8f7 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-06T18:09:06.011724Z digest=sha256:32149db744b336f30a2c0a4ceb697a7f3ca3cdf26254ce1bc868c91ce1b0327b

Observation 77763261-4a47-45ef-9649-c75242a0fcfd · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 25

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

source=pdf_text observed=2026-08-06T18:09:06.125436Z digest=sha256:b2ebb41b9581b35b19248cbaac7c6c58bdc2072b9731ebf40b7c01614f0dd409

Observation b9cdab9e-ee62-4e64-9360-73cb48a118f1 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 26

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

source=pdf_text observed=2026-08-06T18:09:06.188949Z digest=sha256:c39ffbcaa0841ba0ba0c62abec7dca79fbf13497b58b9f89c13fe08a8054b407

Observation 0dc191f6-aee6-4e7c-ad82-537c18805271 · outbound

This paper cites CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models

Reference 27

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source=pdf_text observed=2026-08-06T18:09:06.273983Z digest=sha256:18fc3a0e478e5afa29a9af5537206d35c06f7284c5dd06c665770290346f5691

Observation aa3e0550-26c3-415f-88d2-2392ee3c70e6 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 28

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

source=pdf_text observed=2026-08-06T18:09:06.323073Z digest=sha256:5871f91bb59a790e91cebe9fcdebeb3b2a4a1c973caef14888e4fee5516d8490

Observation 70a1b00b-d496-44ea-9da8-771c397e9079 · outbound

This paper cites The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Reference 29

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source=pdf_text observed=2026-08-06T18:09:06.449230Z digest=sha256:9dc624d9a1996ae1e821f607bbdc0d2737c15724cd9d5cf6120cd2c184e3c7d4

Observation 9764b61f-828a-414f-8da2-ec9aec90b5ce · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 30

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

source=pdf_text observed=2026-08-06T18:09:06.501121Z digest=sha256:0bc5cb0abf9f3a3c6353add3bc8066891241015d571045c0de6edf33c7f19173

Observation 88b7641a-c56a-4f69-b097-04f47aa6c712 · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 31

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source=pdf_text observed=2026-08-06T18:09:06.591569Z digest=sha256:cbf18f2ddb79d0b14fa2e93258a234bf37db16e1cbd73a9c477cf62905ed5e7d

Observation 1df0b745-14f4-4cf4-a6d0-d7a1fae2799a · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-06T18:09:06.686333Z digest=sha256:efa2800fc75b8954fc26e9d1351e5552c1f31169c37d2439752e87605f14aaf4

Observation c1e0ca83-a3fe-4905-b7e4-168adc7056c0 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 33

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

source=pdf_text observed=2026-08-06T18:09:06.758371Z digest=sha256:87f0bbaf05e008aa03b99e4907d46d79e2095e66495087471ab6b66e6e09677a

Observation d45520d9-3a23-470f-9eee-0312447d6314 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-06T18:09:06.971934Z digest=sha256:9ac4bf072969fa4c11835353dc48ad5f948ed6a6f94f231fe4333c379abd130d

Observation e6114f00-c053-4fb8-a6a2-cc4b806b3095 · outbound

This paper cites The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering

Reference 36

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source=pdf_text observed=2026-08-06T18:09:07.147109Z digest=sha256:2f497cc5c6be77fe05d4ffb1fc40eb657d575956cb34a6508b9b9192fb5efa0f

Observation 15a496be-60bd-48ad-a501-ff16e96edf96 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-06T18:09:07.253341Z digest=sha256:e46e3ec9d585076683e42b214d73e12615cd71b774b94119470569413b8a1f37

Observation d22cc338-58f2-4c13-93e4-a2e1e6922cd1 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:15.978006Z

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=2026-08-06T18:09:07.380701Z digest=sha256:ea870dd9bfc4495f5f1fc2cc3a80e784a3fedf278cd6bc37304424bd6624e834

Observation 0ab4622a-1c60-470b-9dd2-93f732e094b8 · outbound

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:07.054223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:07.054223Z digest=sha256:a4bc813aa6a22046cfeb0ea6c15bd24930639581eafb2b07cc5d2c982749b9bd

Observation c22237cb-71ed-4ebe-acc6-56aebf738758 · outbound

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models A Survey on Hallucination in Large Vision-Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:07.643264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:07.643264Z digest=sha256:18095d522948025f54dae773d6510b062c86f28769eec1bc5f4867f499ae9e2f

Observation 3b609538-f8cf-4f93-b377-1b8c60848552 · outbound

This paper cites Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:07.742579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:07.742579Z digest=sha256:9d762bf929e60f4e721e7be00df58d357c7fccaf2338df6bdcb8d48b61b3b570

Observation 5ca435f9-032a-4d29-843a-c0c3a9a1153c · outbound

This paper cites In International Conference on Learning Representations.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models In International Conference on Learning Representations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:09:16.298488Z

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=2026-08-06T18:09:07.322599Z digest=sha256:adb22396b4f4014f26d3005854bd5bca6ffaf66db1dc96b2d4134b5ccf663a3b

Observation 80ad7e54-f0fd-48d7-87c3-1eff52fd99a7 · outbound

This paper cites Manmatha, and C.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Manmatha, and C

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:09:15.330230Z

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=2026-08-06T18:09:07.960230Z digest=sha256:c4638814f8e7cfcda4eeb175e7720d77e905a05c02ebdcec86f342fd8eec56ea

Observation 52b92175-1d51-4f4c-bc01-48bc885c7883 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:15.656818Z

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=2026-08-06T18:09:07.521404Z digest=sha256:03ba8e0486766647c5785210bca35d713fbf00150cd768db6547652c0894bf16

Observation 2810d02c-e4e2-47bb-9327-a334608a8bc2 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:08.192571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:08.192571Z digest=sha256:ce75075929554c12c3633681279b04212499f4719d8e628fccccd295501439d0

Observation 7dbdb3e2-05ca-4815-94d6-8fbd74c153c5 · outbound

This paper cites Object Hallucination in Image Captioning.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Object Hallucination in Image Captioning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:08.300995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:08.300995Z digest=sha256:0be296a1323ab1ad3720ee50b80af9f5515462d58b1e058fda09488a56b16f67

Observation 58f3bd48-5fea-4155-8484-1777da5d3642 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:07.851036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:07.851036Z digest=sha256:9f272674127445b361a41c25a2683134a00290aa57adc9edb42fea11b5ad3a05

Observation 0be4d241-e75c-4703-88ce-a467f8455973 · outbound

This paper cites From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:08.482728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:08.482728Z digest=sha256:f702b841e668d0febd78a1209cb6fe67732622bd59bfc5bd1a9fda736b5574a7

Observation 52c4fc3e-02e6-4033-b8c7-0c0d6f315399 · outbound

This paper cites Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:08.076475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:08.076475Z digest=sha256:5f2f5eeade7fb120e25a2243bf16bbff5a058dfbf02440bb31dbbd1f6558ea52

Observation 46cbb77a-34e6-45ec-b9bd-15175cad2bd5 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:08.726538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:08.726538Z digest=sha256:127e97a22d55779bc75cc469400982fffe73c841ceefe2af065dd2080f2e1ab8

Observation 81d4d4e1-1162-4346-a292-b8fbfa279aff · outbound

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:08.807559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:08.807559Z digest=sha256:00cfe6b40aa0500bcf16d1c561c3bc1c7ae05541f00c98bff2e2be546f04300a

Observation 8d5ac4f5-b40c-4fb3-b26e-f100904242b6 · outbound

This paper cites Arik, and Tomas Pfister.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Arik, and Tomas Pfister

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:09:15.087353Z

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=2026-08-06T18:09:08.400129Z digest=sha256:d5b8913ae54daec36a0ea9799975f04727cec5cde674628aba2d7263419ba0b3

Observation 0f577e07-8c5a-48e4-9a26-cdaf27b5fe6a · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:14.719597Z

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=2026-08-06T18:09:09.034768Z digest=sha256:0d8c3f84f6c31e8da1138ecd3d4ab2085fddc8ba04c2c5d2ae54384ed1840e67

Observation ae9153c9-cc38-442a-b259-fb01284dfca1 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:15.025340Z

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=2026-08-06T18:09:08.610437Z digest=sha256:becb09dea77bb2bbfae4ed0cc4ad47c7b9716150a9021fbf5be7e194264e0d58

Observation e4ab56b1-8127-4d9d-afa9-a99611ef65a5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:09.204371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:09.204371Z digest=sha256:97f8225d0f25dfad2a8a61554f7150d8d846edde673a0f4c495eab835baa7547

Observation af9ed801-5e99-4573-ab8d-052c41e5cd48 · outbound

This paper cites Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:09:14.514762Z

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=2026-08-06T18:09:09.275068Z digest=sha256:21041cca3faae66141e9aef35e26186c9c8eaca9565afb0952ff88b6581e2e26

Observation d1961a3a-0f36-41fb-a516-09781e85eecd · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:14.869493Z

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=2026-08-06T18:09:08.943756Z digest=sha256:8e4cd0dbc3ab925c9a1154aa013ac1ecc64b2427be3f53170571ea0e7ce7cd15

Observation a17ce182-7c35-4914-8e42-e257f91fb604 · outbound

This paper cites VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:09.645932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:09.645932Z digest=sha256:9ab3874f6ffc2af0b1908cebbc1b32b93e566eb554464d2c0eee6e66e4381e60

Observation 2a700b16-c4c3-459e-b125-83428ddbfdda · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:14.626533Z

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=2026-08-06T18:09:09.122298Z digest=sha256:25e24b3bad9a7f7cc550c9dcb7b6bd587db3dca53b69b8ee34bce7556218d973

Observation c396b57c-ee72-4e57-83bf-541e749a2636 · outbound

This paper cites Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:09.900466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:09.900466Z digest=sha256:43074747fa600a84bd5361e57be2a030325b6a63466e1c004af7076163577c5f

Observation a334d24c-4646-4bc9-894e-1a9fc7635546 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:10.031074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:10.031074Z digest=sha256:10ee267a636b3e9415bc9dbd97f2335274d5d20836b63dc4343d2cf9dc1715d8

Observation a8db0e4d-af71-4ae6-8e6c-67244ac9b2e8 · outbound

This paper cites mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models mDPO: Conditional Preference Optimization for Multimodal Large Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:09.378681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:09.378681Z digest=sha256:16d5080c68cf30db875e15bf54ed9e9f40d7eeccaa7b352667ebd8bb24012e02

Observation 563b46ce-91bc-487f-8af0-ab6aeb176d77 · outbound

This paper cites CREAM: Consistency Regularized Self-Rewarding Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models CREAM: Consistency Regularized Self-Rewarding Language Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:10.242420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:10.242420Z digest=sha256:1ad11b693174aa63a048b8b5c716eb1094210cecdb9dffddfdc55302b399526f

Observation f0052603-68f4-487f-a407-945ff5ca17e6 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:14.419804Z

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=2026-08-06T18:09:09.817941Z digest=sha256:ea25e94dadae9246a0d148c0f72ead63d2ac4643efb2153c647d82e63f07d709

Observation e886fdb5-cb9a-4bec-afa8-0bf0f6213364 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:14.162248Z

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=2026-08-06T18:09:10.441019Z digest=sha256:590b11a86413427576f7247e5f40406f6796b393e4d71c0b21b73ac42463a6fd

Observation 411a568b-4c58-45f2-a6ed-5323307509ea · outbound

This paper cites Mitigating Object Hallucination via Concentric Causal Attention.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Mitigating Object Hallucination via Concentric Causal Attention

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:10.520717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:10.520717Z digest=sha256:ff9c81bfa14111f6be85ea66ed344a14600f512ca3ac7cdf052871ffaa90d48a

Observation e743edde-d29a-44c7-8718-14b8c0d283f5 · outbound

This paper cites Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:10.145870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:10.145870Z digest=sha256:640a39287668bed85d1293afd5acc33679ac79e716234c822e98a19537748f17

Observation 92ee96e0-4a3f-49f5-9aac-b12393d9a28f · outbound

This paper cites MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:10.674561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:10.674561Z digest=sha256:f86e2d68fa75b1a56042e4be73098c512e0d8740d18ef0d4bbef1cca619d4664

Observation 07cbe223-db0a-407a-a553-d73414818924 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:14.297573Z

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=2026-08-06T18:09:10.346439Z digest=sha256:85e962499c4611dcc74c537a6942ec76a3481be0aff31e8bc92db34a9bb43f19

Observation 6db15840-a5d1-42f6-a76d-41eece62ede4 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:13.966372Z

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=2026-08-06T18:09:10.916123Z digest=sha256:24ec6572ef8ee78c3959ac92c3f4743a3647b2a041632957473f1dae94f8503e

Observation 46bbd451-a378-441c-ad19-406afd5b816f · outbound

This paper cites A Survey on Multimodal Large Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models A Survey on Multimodal Large Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:10.998551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:10.998551Z digest=sha256:73a1b0d0c3afde42b7442a2a18e5d1e666b13ff8c16bf237b71beddea36fe91f

Observation 708e58dd-3871-433a-9b07-054563273b3e · outbound

This paper cites LLaVA-Critic: Learning to Evaluate Multimodal Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models LLaVA-Critic: Learning to Evaluate Multimodal Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:10.589173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:10.589173Z digest=sha256:1d444b58e9ea0c4de7f14d7c3ad4ad50c36bf0fded6e23407d2168524ef15af2

Observation 8f808cba-a471-4b70-aeb0-656436b2e9a7 · outbound

This paper cites RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:11.211296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:11.211296Z digest=sha256:1fc471e65b7f2c962f2c6556a121460197e736a3d969f3a172cf4f5291ecef84

Observation 0cd6c351-2d75-417f-9eb7-e788722dfcf6 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:14.091155Z

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=2026-08-06T18:09:10.776242Z digest=sha256:f8377d678395f0d6efcf5933e21be3d38077f2d911087d6d10bce88883e3b8a6

Observation 3b3b67f3-291b-40f7-8796-9667f427ba3a · outbound

This paper cites Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration

Reference 75

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unresolved
no resolver link, observed 2026-08-06T18:09:11.418491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:11.418491Z digest=sha256:4f11b1d519272fcbe5df675f3a931f9494658e226124f76fd1d07badf176e37b

Observation 3046f952-ebd4-44c8-af68-99b8cccb82e1 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:13.685418Z

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=2026-08-06T18:09:11.498499Z digest=sha256:78f65b5f2d45deeed2d0ca815c3ec2af566289c8636022806c663f0452bddb0d

Observation 89422fe3-b9c0-462c-bec1-f882dab904e5 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:13.809146Z

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=2026-08-06T18:09:11.065192Z digest=sha256:598377b90188651a3fb4a9f187af2da2d6acedd8007b307cbfab312638056f7d

Observation 1e66cf87-d599-48a7-921d-7210abbedea0 · outbound

This paper cites Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models

Reference 78

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verified exact
local_arxiv, observed 2026-08-06T18:09:13.037301Z

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=2026-08-06T18:09:11.719079Z digest=sha256:16405da28d040cd44300b70cddebf00d2e3b68cc66abd4494dad5f6db00ee52b

Observation 30459bec-247f-4e65-bbad-a03dc65153d9 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 79

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no resolver link, observed 2026-08-06T18:09:11.337073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:11.337073Z digest=sha256:a2e22a514a70164f74e5bf6b0b7a01fcf9b0f89d1aaebd0541d5ef37211bb572

Observation d01f3afc-539a-41da-ae2a-b9f69b3bb80b · outbound

This paper cites Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 80

Resolution
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no resolver link, observed 2026-08-06T18:09:11.917632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:11.917632Z digest=sha256:c95fbd96a0a3840677062effec4a4047f71d2c6977a3051eec57cd852c08348c

Observation dd20abaf-9c03-42fb-8614-74593012eb15 · outbound

This paper cites From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:09:12.932697Z

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=2026-08-06T18:09:12.046604Z digest=sha256:47a63d6162f524c17af23f62d231960664e50ff96c4f1d3807f7cdc30adf3606

Observation 53e7fa6d-e143-4f36-aa72-3690680403f5 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 82

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no resolver link, observed 2026-08-06T18:09:11.588609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:11.588609Z digest=sha256:794ba4e9ecce92f1f70e3512312b679c527cba99c468aa5a663bbf059ae7b2d5

Observation 76c7d8a6-a913-4400-8967-34ebb786dca1 · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:13.449450Z

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=2026-08-06T18:09:12.225814Z digest=sha256:7197b60263f54e1fdfc360e2574db3c0991e0ec431d2ef03ef446645a9abd426

Observation 51643b6c-c484-4f9e-8a29-d8079c653794 · outbound

This paper cites GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Reference 84

Resolution
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no resolver link, observed 2026-08-06T18:09:11.814271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:11.814271Z digest=sha256:356dd03979bc308b322f22774e9334c8909b02bc62a7120f6aef154c2ddc3428

Observation b6aaca34-97a0-4a9e-a37e-973914438421 · outbound

This paper cites Calibrated Self-Rewarding Vision Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Calibrated Self-Rewarding Vision Language Models

Reference 85

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unresolved
no resolver link, observed 2026-08-06T18:09:12.392099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:12.392099Z digest=sha256:e74819856ec2a7b19bfe248d935abe8b4fef0581d1f8c8b1f0c61ddb61f6fa84

Observation bf184da4-4f7d-41da-86fc-545c081ffa3d · outbound

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 86

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unresolved
no resolver link, observed 2026-08-06T18:09:12.489350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:12.489350Z digest=sha256:daab416edfb13202623f74d06db13ff6f97b0307409baa820e6f6b325141581d

Observation 11926a68-755d-45a7-86f0-458ee677f19f · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:09:13.565406Z

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=2026-08-06T18:09:12.143697Z digest=sha256:500e46da401ad5e89efa660168efa00a17732d620d2300d4e70ee078cfba0e1c

Observation 6cf7bf70-5853-428f-80e8-95f8bf768da5 · outbound

This paper cites Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:12.654015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:12.654015Z digest=sha256:dccdf74f5e42a6ab2d874fadc40581e69eea613884cf38c0735016eba72bd6a0

Observation 5536d1b1-88aa-4703-8df5-96e920f57a79 · outbound

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:12.304104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:12.304104Z digest=sha256:6b16dd14ab1979434b11751e2d9efc2a509184316fb0f13e15943dd8c0f4bc92

Observation edae4f2c-96c7-4d3d-9a0a-0d0d4ee61267 · outbound

This paper cites IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:12.583205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:12.583205Z digest=sha256:881c0bef72bbbc28e4ad4f5a8d3cfb329a2bacae35b30bb01d55e91707a28904

Observation e3f35456-f795-4df4-b3f2-3947d9e951fd · outbound

This paper cites an unresolved cited work.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Unresolved cited work

Reference 94

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unresolved
no resolver link, observed 2026-08-06T18:09:12.703445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:12.703445Z digest=sha256:be3bd780fb9e6262c2c63824c553b03ccdb7abf47dd99770a145fb02d6438e42

Observation ad44aed1-9d8f-4444-96f7-7175fad57f12 · outbound

This paper cites International Journal of Computer Vision 127 (2016), 398 – 414.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models International Journal of Computer Vision 127 (2016), 398 – 414

Reference 2016

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no resolver link, observed 2026-08-06T18:09:05.239502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:05.239502Z digest=sha256:132f5d6f5a9f3ea3f17b0ff5d275c1153b6afa94e7fd8de186d3517757de69c8

Observation f69c65f3-fa10-4de4-b0a9-bfaeec53e372 · outbound

This paper cites VACoDe: Visual Augmented Contrastive Decoding.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models VACoDe: Visual Augmented Contrastive Decoding

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:06.394893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:06.394893Z digest=sha256:94ac8ba0c7c02c21efa37308e40184e533be5fcf5227e744256da3399a923dcd

Pith citing papers

Observation 81bf9e71-ab5f-44e4-ad37-d7abec4e2070 · inbound

VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation cites this paper.

VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:50:25.867148Z

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=arxiv_source observed=2026-05-08T19:34:02.860270Z digest=sha256:23921323c3c2f119a1b652a8da3c4c24d6c508f7b624c29a267f7527f663ead1

Observation f5d5434a-704e-48e1-8f08-2dcb379a58ea · inbound

When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics cites this paper.

When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:36:26.496640Z

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=2026-06-28T10:51:38.455604Z digest=sha256:2c6ed8b6301607d35fecac1f8fdcdd1bc7cf9bd18bf6c096da3ef63125363a66