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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:290933085c1ae261c7e0542bb13a411ce7c1088520eb4efc4314327357e53f0c

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=sha256:9c6f8f3df7d62f14e7c95c1f2b8a0ff5401deef40101fa54492c239f2fb05dc9

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:f58a6adf2578c6dbe368066a1e7660fdf66b64c79123b940a527727fd985c24e

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=sha256:579f2585d08bd51654a7b415a1a5944fc29cebe3f5a293316ca95de773d8b9c4

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=sha256:6e27cb94484c018947a487bbc1ee94811534bce8016cd385d24d5716b4aef813

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:d00861a5088a97a39aa2f63590c8d1f67444ac0e3a4922e2575609d685fb608e

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=sha256:1701a930a621322e86709ef8010e355e6372aa372e7ba0b4cec254a79b937021

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:dcb4e43169a72a8e76962c23989b00c1f244eb1402302d1e2e1dd42dab5b7032

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=sha256:2934642f924a5e3b4a027d118f13895e310aaaa0de31570592ccf02a0b4e9913

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=sha256:81349145eae2fb9a0663bbea4280b9ac5e40bee64f00c57e571f38af5d333aad

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=sha256:653a832a1f63c91cb5888508af189e55b8449a1809f6e730159017038930eca9

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:a2509c4ac6c53801be67e8b1ba49e61e91b91a53412a1316c2e1575e5ef7da72

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=sha256:08a46f53b2b9eace8b6fd29a75e9bbd053c42b8e9b3b62155aa72e637ae7c4ae

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=sha256:19f1e614c875f4328c8af6154b28b45c93dd6c423840ad41dc406a4f1b8e615f

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=sha256:40f10aafde40c4dd205d6a559d695b2419f5fc34bc62ec838f3ff0525c63c093

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:da71e144f21cc7e878aa6b6d5befdcbd813dc474fc2b0783297e57cd45aff180

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=sha256:2a6ea8390273e623b9fffd9ac6ca0ea6fd5bcb1c2afa172bf3e0bc34f198af8b

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=sha256:810a3f7ee2f01e4cb82b0973c9631e9081f1fea3fae722b703b97a710a52ed30

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:da0872b8aabea6b0ba61431aa01040e1fb839c49763dc7d886ee064210dd4987

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=sha256:77bc354dd8f2b9ebc900f018c2926eefe1e23a174477ff5cda0fd70a6cabc47f

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=sha256:9c14f97b07ea923bb44f56a45873a651cbac810df78e31f9370660e4be3d93a7

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=sha256:66813f63cedc72bc66538b22931032e2750f2b373954b26c950bb4901987e4a5

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=sha256:87f556903448ecef0bb10ec4be899a35716d7a39f86753f550f8fbc8c601d6c6

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:d4564da43f40f5dadefa888ea8e9b5ca33506a0d7d496111a4bf87668edc447d

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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source=pdf_text observed=2026-08-06T18:09:06.125436Z digest=sha256:0d655714b021397679739a14e0b8e73bc6c0ac41ba2423fcdf464466d745aa02

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:06.188949Z digest=sha256:ff3bc56e3e517112ce6a37ae6bf3ddc2db992cb41624d07842c0b8d9bda51976

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=sha256:2f404f8e9dad5286d0f6fc6885119afb1fa2341dd2b948cd7f9776c8fef2dd6e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:06.323073Z digest=sha256:7527a03bbcac1e9bc357c3c30849b4f0f1d541a2fcb8d7ee704d064969a8dac1

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:d8ff31997c21b1ec7c1c409cc1d65084c42a0eccef0c54c45bdf8399a54d1d11

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:06.501121Z digest=sha256:077fa2a72a17717bbf17ce9b824edb0e2e454167a737088c223086ccf13648eb

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=sha256:79d92265cc6946c5473fbf97a4bf98c0bbcdb8a9158b0ca686a9f275096b4590

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=sha256:3607a986249d044d15f4a1c5634d031104032f912bf0868337307a1a01d7f494

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:06.758371Z digest=sha256:e8d476f0f6f25af03d70a10402819be562d57da171d5bac360bd486601160797

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:e8d6ce31415ff29c024d7bfb802e3a4595404298216b95d95760825c97f18c38

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=sha256:4ff44188ba99efadb9a0d22f38304d6e3297ab309e7c5425be11a412a2067faf

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=sha256:763425fd1ff23541ea4f71e0d5e84be8fd1b3f80b6e50422d403af549470151a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:07.380701Z digest=sha256:2638550254d1bc3ea54bff0b038dbc70ea61bf7e06ce29377ae1bc561ad74076

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=sha256:4ff5eb8c30b774ada20be3505a668e89164a63e264e3f0109492b7d3cd6de255

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
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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=sha256:719b8d43d377537f16e5353d4fd564a3a140e79deb145fafaefd2dce27c96c2c

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:ba7193a7e64077137861d68d7c91768d0d4fc00ff49f3e0b7e72dc345d44620b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:07.322599Z digest=sha256:1b45ec43acafc423f4cfd6ebcd954ede9107f8d4a015bfd5fdcf404fa0cea5f2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:07.960230Z digest=sha256:b6ccf0fb668a239628944c96b3ec05809d39c773e6bf15ce38251cc2ef3f741c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:07.521404Z digest=sha256:0438c348522f1d843ade45e5e7799284e8b340332902c22c4f73ed43a5176791

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:acbd9d0f7e1da77c36a9e6d1828dc8768ae91fdc12aeca01b140ecb50140531b

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=sha256:3711018eccddb0eb67d32fb8ec9d5d3416b394773ad7198ed8dba84d6f6b1a3b

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:ef6c183d2027f93b7b846bb1f84ab6c5164dbfd47c7a4c6f4447d4e56329dd32

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=sha256:1038f3cd66a6c1183a866277040830564a1ee95557ef6b75263b7e13ff9f414a

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=sha256:69657bcc481b6c595c2c244c49e2746b2263aa76eee5da91936ab5d56d8210f2

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=sha256:3ff207760f7094aa0bb06d4f62f1511382eb5918bcc23de42efa8e905da49923

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=sha256:8a752684f12bce75676a4ab791497582848633850a39e489170d2388247c7dbd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:08.400129Z digest=sha256:67f43eeaae4cf839ef20d2cfa8f1c4294ec8324be5243a8cf393748932c65594

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:09.034768Z digest=sha256:1d22683db9ab3e7a2162f8f7541870d87cd3dfc17d0d86e59668dbc11c2af20c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:08.610437Z digest=sha256:4cdcf4f898e15eee657733a4ea9b5d9f65acbef6a3e9f6ad5e2df9a12f3c9140

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=sha256:72190ad4b613b1d50bf18a77c78df5581fbf5759bd90258899ff847b56abec57

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:09.275068Z digest=sha256:3853665c7bb59e311f36a04ad26b3be04be323fbb5e7e6670c070b1f1d51e984

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:08.943756Z digest=sha256:f6249c65b84833fa1a24423694fe81357fbf8befddebc4645495e533423f5c25

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=sha256:7e5ee4ae0b0065dbb6484fb5627d5f2c4b68d38aa4edc5573b83dc4122953848

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:09.122298Z digest=sha256:4ec900056ea7cee2b11490612e5c5fdb5ae6ad00b6f197f7df13de5b468bc28a

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:ab7505163c42d237681bab36ed1e1949eaf712aa28a504058cd34513e50c2744

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:da2975866a75c5538e795f68384a8e270567c80b9d1c66039bb6fbe8796679ff

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=sha256:8892cd336d8c00a48e5f79f2b5ffae14b5e854c3e9519cc1ff7e27ab5ab9dc81

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:a0014561790c9ca0ef26b3bf9abb2598e7037af9e57aa575a88f3444872fd4f6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:09.817941Z digest=sha256:e1dedc4f0a3116f9d1963c25232b2d1dc18bccb58a6fefd13fcecbdf492e8421

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:10.441019Z digest=sha256:2e584e98ae0d015f6c423f67615d68b7c3078f4366d588f6ec9f9b747a32926e

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=sha256:000b5eb34a6f270468d7fb2f55304abe4d72ee1469ad36f20737c516b5f970c5

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:e6b8c8b3a04e6bd99c60ba7ef1fec1246788c5f4884b1141d2059dd293f14273

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=sha256:913cf6cdb7c9b94626f5d4c08de457d3068a95a157e2438c42ced3f3715feb37

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:10.346439Z digest=sha256:aabf47130f9504890dec14a40ce8c51760ba5bdae5ae24455e145b5a25a07159

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:10.916123Z digest=sha256:d56d0ff1670fd914d82b8f064335074d27aea4de72be1436bf13605a79a31df8

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:d880d3c9aaec97ec653ed827a7d62bc2446f03e1dc80fce8376b9f9d04618e56

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=sha256:975775bbab79aea27653076eae5ab28931427bc63ce0d65205c53b1c90b06fbf

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:a20b3e4bc8d48e27c1f2b4639d5c25f3bebcf17aaac66d1303496dec8d013894

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:10.776242Z digest=sha256:ed4696aa0875c83a10d099999bdcb47cdda7a9d0d04fa4b255328100396141e8

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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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=sha256:0f048a5e63d22343432fdb0610daa30b7a89a3f99982b2237dd7201eee7402bd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:11.498499Z digest=sha256:5b854abfcd9231ee8e41049474976e532b9cdcce2abd886a3491da6eefffb3b9

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:11.065192Z digest=sha256:1c7dd9fdd575e5677c125bda1237d94dc56f333aa170a721c702405cb1c87569

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:11.719079Z digest=sha256:363e294cf5baf8b1a1fcd5b9c1c8a8e98ece01521961873cf6d44cd1679b331c

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:ac47f6eaab4c130806e59236bec5b2420b25f03f40c29368843867bd0af5e491

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

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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=sha256:88bb20d987c6940c26b0172d5a84fc273cc7d42cb9500bb4d8a4166cb8f0af05

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:12.046604Z digest=sha256:b1a87002df227934949cffb1c70898e4c08a6736f77cbaf1dc93de7e0f3fc12b

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=sha256:04c1db4d2895e2a419b250cedf3b157c102b3b1e63753db542b32dbea83eecae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:12.225814Z digest=sha256:6cb86bbb04d9e6280fb6b50873ce9685bad5e2a44c756e8dd2da0d75029cabcb

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

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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:bb3b7bd2b7cc9c54f52bf9103c70e57a2bd1e87e351b112144666fe69ceb2cd5

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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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:faa51b5172d3288483ed8f575de674bf8499d55e58f175773d68f2e4afaabea6

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=sha256:2ffda106ff8ce0e56ddbdff35161d409e21d521059141d13e3b79cb9ecd3db45

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:09:12.143697Z digest=sha256:2645ea699a587e2ae87508f5fe580001cbfff23dcf560df17e36a05d6a622a5d

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

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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:cde1f941967f29b4d9cf868bdffe8f5e2225d1e16dd38466a63ee023581337da

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

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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:cd7511e02d0a531eac50577ba9daa99caa63f6d1225985e2c4808a5fb2ad2ba5

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=sha256:1d7506f227f9e7708464fd5f2b95a813a8cc60b64a3d837fa48aae0d7f6bad4a

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:d0d0a94b4f39d39bec50712b44d320c639964f699910c8d5e518d8b6c8f9a3d3

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=sha256:3d9c352111d629b61c9a45cb401bac3c5f013e7e1d937336691eca7bc9271a6f

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

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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:bd93c0b9f1fcb6554505e402ca8e2c8aee79fc1245b1f2678d3da6bb67cefe98

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T19:34:02.860270Z digest=sha256:79c657838f956e4fa2ef84858190626e97a960d988829cc257da1986fa2f4fab

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:51:38.455604Z digest=sha256:b45ffeffdcf9470f9adbdd9d0c4957903ce324f96468801aead49a5f08ce3d6d