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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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=sha256:869be4314ca729c3622b954e53c43f45c7920c5e04c7b53bd37f22cedbacc945

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=sha256:8645dcdaa0f2b5e4e86a8e2bb9fd9ce604378d199c69833332640844faf630cb

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=sha256:1bcb7d88725f268a59c8866842250a9b7ca5015f850846b9ea31909acfafaa21

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=sha256:3c94f6ec828da506caa8657921a8a20cbced389affb9c954f94bac298830fbc1

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=sha256:258e038ffb4edda82c1c6162eb54299c719c4d6097afb35639cb72e085150561

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:a17c1c91f6dfa3ed70649b2e4f6f0bc361ee4eb748430c0f1a543f71cf6f8d15

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:a3a607e05fc066528de4e1632e86e7497a64002a53001fad361cd333222fec4f

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=sha256:1db7b7c65f3a8674324ba878d8f96703b6dc1cc913d2faa22825757988490378

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:06.188949Z digest=sha256:b451275ee0ece14d8aa4a2dc92e3466a7e447cd79162d0888485502916324d82

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=sha256:866ba8a388f4d8e8158d09f57bea5a1ec5d88fb5e1ae1956ecdf8288f5beb4c9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:06.323073Z digest=sha256:37fc41853e8631c3dff1bf9425eea47b8565aab8588b7d7dc3469c59ddbeb44a

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:a63e6d0fcf203064584c7639d5320c2c0bfd9338be0ab2b53ac6dcac7cf69337

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:06.501121Z digest=sha256:f7f6e9ddd3787101e63d90e02d54bca697f8149b25f39ca95bc5d01c6f29f116

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:06.758371Z digest=sha256:071e8764318e5fb0307ed3bc69c38345af80bfb69c372b3c688440a71ac594d5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:07.380701Z digest=sha256:4d7def4f3d73927f11af158fa5d7cc37bd6d991ff6d5bb7ae35c2f2094bd2ccf

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=sha256:0dc70c2cfc4ce0070c5317afb3fcda9d61b6404226327052b54f54837031f4f8

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=sha256:3d90069d2c54622df9f2021761b79c4fa3f99de8b2920f3dc46488d94fcb0126

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:a4f90afc2e81889e9d4ba66f3a53e0a85b9feacec696db46819f05a3474e071d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:07.322599Z digest=sha256:559016b6d503e4c52dbb2dcec98cf20e27d42f376109e6e07223728620176cc2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:07.960230Z digest=sha256:dbbd18f48113cba25b912716a9365be460b88e68dd872a5913f29993f516e723

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:07.521404Z digest=sha256:585b156cec5ec594d8f8f4470bf53cbf4589d1f8a13bb6dd8d1e80e73294960d

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:cedbfe4665c69ccc0caa6420928cdb3a4ee6e6643d04c1bff9c4e83a185b6b31

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:ab02b151139927d2e95fec8dea8dcc8935ac56ad12dc55523225804617451c87

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=sha256:987256aae972fddb608457714120400fb79c006e3367c6b676dbd37c848f494a

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:ccadadd8ee86c6b1d804533aefb66af9b7d6e7f452276f456ef68519dd4be85c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:08.400129Z digest=sha256:18587f6df828899e41fbc7530b3bad9f6203b8325559068b2cfdcb8893c44c45

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:09.034768Z digest=sha256:9b50935bdb6307c2243aa1d7515a1b2c89b90cf1d3c650050a5ca9717dc23b4b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:08.610437Z digest=sha256:539f317feab25a550ca9a299228ce3796b5c25dcb0f45e74e66658bd5200f48b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:09.275068Z digest=sha256:37fddebef170ec847fcffbde4df5849e3db3d513c227741850593739df4a5166

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:08.943756Z digest=sha256:7e9887db106034aa50dc8c9b237779bb06f1ac37929714df63d2c2e4754adb88

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:a39e311efd8e21b2cc118dd443298a82d7d7a2476e50900be84cc90fc17b39bf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:09.122298Z digest=sha256:83b00d116646cbee715b4240145afd40cdafb634f30464c09125720f63867111

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:e95b76e7826743554a2bd8fc56f9b0736c8dc5656c127f6ad47e94a63b990854

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=sha256:985163a0e3a8708ba55fc158f21c05a4df3c3726b5b69d83d5b35f0eca0c2949

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=sha256:9a1f3ac69e51e82b5ad4ea23c0898cc6b3652c3fc68c57e6b1cef512d6efca67

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:09.817941Z digest=sha256:2aee2aa5021d0dec04bb89f86c643b5cd85cd3ca84bbd930bb3d21ec97560b9a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:10.441019Z digest=sha256:39f45698e9a5a8811fd9a69e5e49f62a8d737d9a22eccaee144befc30fe55531

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=sha256:5cca0f77dd8335b6e4ecef501227f6dd2f13d706e37843dc27709ed6b6000bc1

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=sha256:228921ff420f49e4ab4bcbd4e69e62a22767b4f47db640a94b6b1a31212f51bf

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:10.346439Z digest=sha256:59015ed3b52c59f5ec93590a8aa7b6008989ef1488498afacf178bb68b0c5102

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:10.916123Z digest=sha256:90239848b56412cc8c6a2e05cdf219fcd46bfc06f8858793bdf796a7ad93a092

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=sha256:1e5817c7f1bc2284d9efc4ee353f0f061055f4498fd3d9f45df65163db0a2c29

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=sha256:44185f50ae66845e6a9b966035ed4f3515a3b447d873e5e8e9d7f7bc26ff3acb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:10.776242Z digest=sha256:96493d2dcc99ce082e6850e06809b6b7ca3eafe93df22f1297410ab7d1077500

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=sha256:03f9f4d0efb83303fb1ab13b1aae1519eb92fa186c9adeaab1fd3169e6cc34ed

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:11.498499Z digest=sha256:49bb46c09fad09148c85f452025b78a714b666188db8da6c5f42e11dc0202ef4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:11.065192Z digest=sha256:b68db6964dba9677b6fb6ae6c3127bfb172cd15e67c3cca72192051c33d1c234

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:11.719079Z digest=sha256:044d9e7222410f7aa3b7321bd375b277f113be9139aecc6b01f1783395081701

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=sha256:7451e30b009b1dcc1156f2db2f49fe4120fc2b8e5f4176fbb7b8fb9a6931091a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:12.046604Z digest=sha256:7aaf5f4587af667a3af7366695cd6cd1177a0b2210cb4ff761bc21cfc3db1495

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:f03ea9de5d6f294be43ffceadc711299cfa259f7b88bac465f196e00bea09e49

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:12.225814Z digest=sha256:ffdb66f707cc937ef97453bb778e5010489a050a75749e8481a89a695759fbd9

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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unresolved
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:e3ed9bc4957dc95607de56eca2ea400e7542f2ea6cedfb6b239637a54760a531

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=sha256:9ca465a4de1af6dd8a1a9b1d53c52313c05c735c82a732716b973f9b4f5d317e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:09:12.143697Z digest=sha256:e1a377332f76a4e66a09f3de9df92b42c9d83ab3a3dc37759450a761a5e4018b

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=sha256:97cbeca4411fa30071ddc85e85a9a13599e6cfe8d4e82978a69593f5504df1d5

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=sha256:2b6969e2f2da97e6efbf5ffca522510caec17c2211ea52ae6a796268e501ed75

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

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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=sha256:384fe78ab166246f063a77f7ce3288d8fa65e50998bfd59333fbce4bf19de6ba

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

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:aeaf0a5a0ab4102c7cfd3c329f956e536881f066d743ff9f4186604228f614dd

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-08T19:34:02.860270Z digest=sha256:eb9e8fc36a0ef62d96eb4c33e8796903e94a6648fdba3b7833913d0f9d878fe4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T10:51:38.455604Z digest=sha256:fe99db753c301ae7f774fb7d4520ada6990979742d36769fbb3ac0801d531e40