Paper Citation Record · LEDGER

Large Vision-Language Models Get Lost in Attention

As of 7 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 5 inbound Pith citation observations for arXiv:2605.05668.

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

pith.paper-citation-record.v1
2605.05668 v1

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T11:54:01.224588Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:01:25.702271Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T10:15:44.347614Z

Reference resolution

100 of 111 outbound references displayed

verified exact11
verified fuzzy63
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch22

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5874dbd3-6fa2-4ab2-83ae-de89d9b1da6e · outbound

This paper cites Advances in neural information processing systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in neural information processing systems , volume=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.934517Z

Source-reported events for the cited work

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

Observation c0ec3bbb-9608-4d08-a253-fdfdebdfcc4e · outbound

This paper cites International conference on machine learning , pages=.

Large Vision-Language Models Get Lost in Attention International conference on machine learning , pages=

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.937823Z

Source-reported events for the cited work

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

Observation 69136ca9-0807-45b1-825c-86e280710a07 · outbound

This paper cites Advances in neural information processing systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in neural information processing systems , volume=

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.941486Z

Source-reported events for the cited work

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

Observation 5e1ec3b3-c21f-43d7-b27a-496e7ee41ecd · outbound

This paper cites International conference on machine learning , pages=.

Large Vision-Language Models Get Lost in Attention International conference on machine learning , pages=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.948213Z

Source-reported events for the cited work

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

Observation 95886555-ebb2-452d-a5c9-b79562755ed6 · outbound

This paper cites Advances in neural information processing systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in neural information processing systems , volume=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.921835Z

Source-reported events for the cited work

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

Observation 35c37ec2-5df4-4903-8871-6bc5616b4314 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Large Vision-Language Models Get Lost in Attention DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:26:10.249262Z

Source-reported events for the cited work

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

Observation d38caf90-1c26-41ab-9394-aea7b9e46726 · outbound

This paper cites Advances in neural information processing systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in neural information processing systems , volume=

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.825619Z

Source-reported events for the cited work

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

Observation 62476e59-8514-4586-b93b-6f24fd814602 · outbound

This paper cites Transformer Circuits Thread , volume=.

Large Vision-Language Models Get Lost in Attention Transformer Circuits Thread , volume=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.829619Z

Source-reported events for the cited work

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

Observation a5980628-4d64-483c-bbdf-bcbafbbb06e3 · outbound

This paper cites In-context Learning and Induction Heads.

Large Vision-Language Models Get Lost in Attention In-context Learning and Induction Heads

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:26:10.254921Z

Source-reported events for the cited work

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

Observation 53856dd7-4ad9-4cee-982c-f07ce21fe98e · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.818409Z

Source-reported events for the cited work

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

Observation e063775c-5aa3-4d83-bed0-678e4bbd5274 · outbound

This paper cites Advances in neural information processing systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in neural information processing systems , volume=

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.931017Z

Source-reported events for the cited work

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

Observation faf566b2-a17b-4c86-b456-91f8422ae026 · outbound

This paper cites Attention is not Explanation.

Large Vision-Language Models Get Lost in Attention Attention is not Explanation

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.049196Z

Source-reported events for the cited work

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

Observation 8995c1fc-aae9-4456-a8a2-78f6869d8565 · outbound

This paper cites Is Attention Interpretable?.

Large Vision-Language Models Get Lost in Attention Is Attention Interpretable?

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.265219Z

Source-reported events for the cited work

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

Observation 1b64469a-0452-4fdd-9dc3-126027866f77 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in Neural Information Processing Systems , volume=

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.951654Z

Source-reported events for the cited work

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

Observation 059b7852-da1f-4841-986f-df280b06a196 · outbound

This paper cites Layer by Layer: Uncovering Hidden Representations in Language Models.

Large Vision-Language Models Get Lost in Attention Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

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

Observation cc737df7-85e7-4416-ab3a-9c04ae0c2912 · outbound

This paper cites On the Role of Attention Heads in Large Language Model Safety.

Large Vision-Language Models Get Lost in Attention On the Role of Attention Heads in Large Language Model Safety

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.092015Z

Source-reported events for the cited work

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

Observation ee429dfc-1c89-46a0-9718-0521a8dcc4e2 · outbound

This paper cites The atlas of in-context learning: How attention heads shape in-context retrieval augmentation.

Large Vision-Language Models Get Lost in Attention The atlas of in-context learning: How attention heads shape in-context retrieval augmentation

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.212145Z

Source-reported events for the cited work

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

Observation 8573ee90-7223-4e22-a47b-bff9bb59007c · outbound

This paper cites arXiv preprint arXiv:2505.13737 , year=.

Large Vision-Language Models Get Lost in Attention arXiv preprint arXiv:2505.13737 , year=

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.224922Z

Source-reported events for the cited work

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

Observation 2b32abe6-7a5c-49f9-9010-6754f4faa88b · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.814547Z

Source-reported events for the cited work

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

Observation e1848fd5-c362-4845-b254-6389a309252d · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Large Vision-Language Models Get Lost in Attention Transactions of the Association for Computational Linguistics , volume=

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.821713Z

Source-reported events for the cited work

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

Observation 98459c57-a0a2-4e59-bc59-ba4d30c679ba · outbound

This paper cites What you can cram into a single vector: Probing sentence embeddings for linguistic properties.

Large Vision-Language Models Get Lost in Attention What you can cram into a single vector: Probing sentence embeddings for linguistic properties

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.231206Z

Source-reported events for the cited work

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

Observation a50ac0d0-b55e-4637-9e85-f1dc3e74fa31 · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models Get Lost in Attention Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-26T13:52:25.832774Z

Source-reported events for the cited work

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

Observation 869e285f-ade9-4909-b04b-55561ec773e2 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Large Vision-Language Models Get Lost in Attention Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T16:54:37.831311Z

Source-reported events for the cited work

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

Observation 02250f89-e70a-466b-a63f-79b471885148 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in Neural Information Processing Systems , volume=

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.894952Z

Source-reported events for the cited work

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

Observation a18a5d08-e78a-4d76-ac78-c0397fe9774c · outbound

This paper cites Attention is not not Explanation.

Large Vision-Language Models Get Lost in Attention Attention is not not Explanation

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.260259Z

Source-reported events for the cited work

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

Observation b295bd63-3412-41dd-8125-43564fd2a9bd · outbound

This paper cites Entropy , volume=.

Large Vision-Language Models Get Lost in Attention Entropy , volume=

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.875560Z

Source-reported events for the cited work

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

Observation 4566a0c8-e827-4395-bf5d-cb8ec66cd7a8 · outbound

This paper cites See What You Are Told: Visual Attention Sink in Large Multimodal Models.

Large Vision-Language Models Get Lost in Attention See What You Are Told: Visual Attention Sink in Large Multimodal Models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.066217Z

Source-reported events for the cited work

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

Observation 66284184-9f59-437d-b3e7-cc5eb0d9b949 · outbound

This paper cites More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models.

Large Vision-Language Models Get Lost in Attention More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.200461Z

Source-reported events for the cited work

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

Observation 0cc31f25-924d-4549-86fc-deeefac5c370 · outbound

This paper cites JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention.

Large Vision-Language Models Get Lost in Attention JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.189531Z

Source-reported events for the cited work

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

Observation 53ffb285-ca53-494d-a9a5-2a96f7ffa0c9 · outbound

This paper cites Findings of the Association for Computational Linguistics: EACL 2024 , pages=.

Large Vision-Language Models Get Lost in Attention Findings of the Association for Computational Linguistics: EACL 2024 , pages=

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.810187Z

Source-reported events for the cited work

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

Observation a482cf70-10cb-4360-9530-2a8890957c9a · outbound

This paper cites Transformer Circuits Thread , volume=.

Large Vision-Language Models Get Lost in Attention Transformer Circuits Thread , volume=

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.798965Z

Source-reported events for the cited work

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

Observation 1c663a01-8f6c-49c3-a04c-07649353b506 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Large Vision-Language Models Get Lost in Attention Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:26:10.142203Z

Source-reported events for the cited work

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

Observation b72b1a2e-e3e0-4cee-b8ed-0bffd4d89d67 · outbound

This paper cites Interpreting attention heads for image-to-text information flow in large vision-language models.

Large Vision-Language Models Get Lost in Attention Interpreting attention heads for image-to-text information flow in large vision-language models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.163074Z

Source-reported events for the cited work

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

Observation 5c047616-2eeb-4cfb-8c61-1e59ee10b3ad · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Large Vision-Language Models Get Lost in Attention Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.802373Z

Source-reported events for the cited work

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

Observation fbf202cd-feb8-4368-8757-4ff4fa8cea35 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in Neural Information Processing Systems , volume=

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.806186Z

Source-reported events for the cited work

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

Observation 416363e4-a177-452b-9b2f-3fc84d4a6b27 · outbound

This paper cites Audenaert, K.

Large Vision-Language Models Get Lost in Attention Audenaert, K

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.123957Z

Source-reported events for the cited work

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

Observation 582439f8-2f8d-4a1e-a512-31cf8eae82ec · outbound

This paper cites Journal of Machine Learning Research , volume=.

Large Vision-Language Models Get Lost in Attention Journal of Machine Learning Research , volume=

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.789265Z

Source-reported events for the cited work

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

Observation 68192cf2-fa02-4f75-9eb4-565d652fa5c9 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in Neural Information Processing Systems , volume=

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.795941Z

Source-reported events for the cited work

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

Observation 8786df24-8881-4072-a91a-9dd9282d2ff1 · outbound

This paper cites Information Bottleneck Approach to Spatial Attention Learning.

Large Vision-Language Models Get Lost in Attention Information Bottleneck Approach to Spatial Attention Learning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.054290Z

Source-reported events for the cited work

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

Observation 7b8bde65-68ad-452d-937f-b81d0b44536b · outbound

This paper cites 2013 , publisher=.

Large Vision-Language Models Get Lost in Attention 2013 , publisher=

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.786288Z

Source-reported events for the cited work

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

Observation be60ccc8-a21d-4fc5-b356-39a8aa97636b · outbound

This paper cites Psychometrika , volume=.

Large Vision-Language Models Get Lost in Attention Psychometrika , volume=

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.778919Z

Source-reported events for the cited work

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

Observation 3b09be8d-effd-4cff-b471-ef6ec74b0257 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Large Vision-Language Models Get Lost in Attention IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.782738Z

Source-reported events for the cited work

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

Observation e5c836f6-a265-4b1d-a2cf-cbda0874fcdc · outbound

This paper cites 2007 15th European signal processing conference , pages=.

Large Vision-Language Models Get Lost in Attention 2007 15th European signal processing conference , pages=

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.792425Z

Source-reported events for the cited work

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

Observation 7b5bee18-34de-4438-8c5f-64ad2e85a134 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Large Vision-Language Models Get Lost in Attention IEEE Transactions on Information Theory , volume=

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.872204Z

Source-reported events for the cited work

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

Observation c1941ddb-a261-4aa2-97f5-48a9766bb1fa · outbound

This paper cites DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies.

Large Vision-Language Models Get Lost in Attention DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.243588Z

Source-reported events for the cited work

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

Observation 0e529cbc-50ef-4366-902d-a38a2320e034 · outbound

This paper cites 2000 , publisher=.

Large Vision-Language Models Get Lost in Attention 2000 , publisher=

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.702582Z

Source-reported events for the cited work

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

Observation 0c8915c3-1413-49e0-9a25-05ed61ef3148 · outbound

This paper cites SIAM Journal on Optimization , volume =.

Large Vision-Language Models Get Lost in Attention SIAM Journal on Optimization , volume =

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.760880Z

Source-reported events for the cited work

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

Observation 00d19844-b119-4a6d-a77b-1c16d6e3f391 · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models Get Lost in Attention Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-05-26T13:52:25.764482Z

Source-reported events for the cited work

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

Observation 3b96c35b-2379-4378-b233-d154bf5d80f5 · outbound

This paper cites Qwen2.5-VL , url =.

Large Vision-Language Models Get Lost in Attention Qwen2.5-VL , url =

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.768562Z

Source-reported events for the cited work

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

Observation 068429b2-b2cc-4f67-aa7a-ad5a16f3cd40 · outbound

This paper cites Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs.

Large Vision-Language Models Get Lost in Attention Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T05:35:13.359401Z

Source-reported events for the cited work

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

Observation b0b33b45-c771-4775-bfdb-bdf3d1f2a3a3 · outbound

This paper cites arXiv preprint arXiv:2504.13169 , year=.

Large Vision-Language Models Get Lost in Attention arXiv preprint arXiv:2504.13169 , year=

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.135954Z

Source-reported events for the cited work

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

Observation b89aab72-9ed6-4827-9fa9-b98d581fbfde · outbound

This paper cites 2025 , eprint =.

Large Vision-Language Models Get Lost in Attention 2025 , eprint =

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.732377Z

Source-reported events for the cited work

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

Observation 2d660488-8df8-493c-b415-64407d051e5d · outbound

This paper cites One RL to See Them All: Visual Triple Unified Reinforcement Learning.

Large Vision-Language Models Get Lost in Attention One RL to See Them All: Visual Triple Unified Reinforcement Learning

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:26:10.205409Z

Source-reported events for the cited work

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

Observation 3a1acca7-8ab1-482a-b535-af5f2fc2878c · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models Get Lost in Attention Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-05-26T13:52:25.750439Z

Source-reported events for the cited work

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

Observation b489444c-9990-467b-ad5b-d1839a80b7c3 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.743639Z

Source-reported events for the cited work

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

Observation 4e174427-276f-4403-a7dc-185accbf5c0b · outbound

This paper cites 2024 , eprint=.

Large Vision-Language Models Get Lost in Attention 2024 , eprint=

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.747403Z

Source-reported events for the cited work

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

Observation 201d3591-14c6-4433-bd73-8b72a85ee21c · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Large Vision-Language Models Get Lost in Attention LLaVA-OneVision: Easy Visual Task Transfer

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:26:10.128001Z

Source-reported events for the cited work

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

Observation 88827a89-69bc-4140-8d0e-df0bc41c67b9 · outbound

This paper cites LLaVA-NeXT: Improved reasoning, OCR, and world knowledge , url=.

Large Vision-Language Models Get Lost in Attention LLaVA-NeXT: Improved reasoning, OCR, and world knowledge , url=

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.757711Z

Source-reported events for the cited work

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

Observation 3e58b132-cb45-4261-a6ff-cf5b3f4b1ecc · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , address =.

Large Vision-Language Models Get Lost in Attention Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , address =

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.753594Z

Source-reported events for the cited work

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

Observation e5a27a54-120d-4d86-93d5-f11fd28dca30 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.740607Z

Source-reported events for the cited work

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

Observation 5387310c-4297-4e22-8ad6-78466a78c815 · outbound

This paper cites 2024 , note =.

Large Vision-Language Models Get Lost in Attention 2024 , note =

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.737734Z

Source-reported events for the cited work

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

Observation 35fb147b-bbc6-4a9b-865f-8ffeef1582d9 · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models Get Lost in Attention Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-05-26T13:52:25.735348Z

Source-reported events for the cited work

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

Observation 6de9c8d1-a24e-4ab3-8d4a-51407cc339f2 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.839251Z

Source-reported events for the cited work

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

Observation ae25341f-7933-40f2-b1e8-8a8e3996bf99 · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

Large Vision-Language Models Get Lost in Attention MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:26:10.101788Z

Source-reported events for the cited work

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

Observation d930e8e3-ff68-42d4-9052-34bb2f705894 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.721632Z

Source-reported events for the cited work

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

Observation a2eef8cc-ba56-442e-93e0-eb4c4cc9eb7f · outbound

This paper cites OpenAI o1 System Card.

Large Vision-Language Models Get Lost in Attention OpenAI o1 System Card

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:26:10.193278Z

Source-reported events for the cited work

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

Observation 60539a78-41af-4516-b11e-075c43b1aac0 · outbound

This paper cites Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers.

Large Vision-Language Models Get Lost in Attention Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.270566Z

Source-reported events for the cited work

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

Observation 5993c2d1-ee84-4ba1-81d0-70fdae14862a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in Neural Information Processing Systems , volume=

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.850886Z

Source-reported events for the cited work

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

Observation d667b1c1-b3f7-433f-b04b-10ad27b3eb1b · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.729140Z

Source-reported events for the cited work

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

Observation a5d929e3-9f52-43a3-a9b2-05d1577c64ae · outbound

This paper cites Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?.

Large Vision-Language Models Get Lost in Attention Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.080049Z

Source-reported events for the cited work

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

Observation 4f5c6dd2-36da-40b3-a1bf-a61ed64292af · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.712121Z

Source-reported events for the cited work

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

Observation 912cd2c2-2b7a-4ebb-9ca7-916f73994568 · outbound

This paper cites arXiv preprint arXiv:2510.21518 , year=.

Large Vision-Language Models Get Lost in Attention arXiv preprint arXiv:2510.21518 , year=

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.075678Z

Source-reported events for the cited work

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

Observation ecc35f15-70b4-4455-8d19-fa734d3cbdba · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Large Vision-Language Models Get Lost in Attention Forty-first International Conference on Machine Learning , year=

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.715039Z

Source-reported events for the cited work

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

Observation 635985ab-d5ac-4a52-86d2-2c5fcd355c6a · outbound

This paper cites Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.

Large Vision-Language Models Get Lost in Attention Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.184826Z

Source-reported events for the cited work

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

Observation a7996abb-467e-476c-9d6c-b2d086734f16 · outbound

This paper cites Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations.

Large Vision-Language Models Get Lost in Attention Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.150605Z

Source-reported events for the cited work

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

Observation 6f00ac41-e549-4122-a7fc-3f2c6c5782db · outbound

This paper cites Forty-second International Conference on Machine Learning.

Large Vision-Language Models Get Lost in Attention Forty-second International Conference on Machine Learning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.708875Z

Source-reported events for the cited work

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

Observation 1eb70753-24ce-431f-a34b-ec06fc5a0e49 · outbound

This paper cites Forty-second International Conference on Machine Learning.

Large Vision-Language Models Get Lost in Attention Forty-second International Conference on Machine Learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.718168Z

Source-reported events for the cited work

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

Observation d63fac20-b46f-46b1-9877-a7256ccc21d8 · outbound

This paper cites Neurocomputing , volume=.

Large Vision-Language Models Get Lost in Attention Neurocomputing , volume=

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.861266Z

Source-reported events for the cited work

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

Observation 3d4ac313-d8bb-4bf5-8623-7661961cc025 · outbound

This paper cites Microsoft COCO: Common Objects in Context , booktitle =.

Large Vision-Language Models Get Lost in Attention Microsoft COCO: Common Objects in Context , booktitle =

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.705691Z

Source-reported events for the cited work

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

Observation 6c377550-8827-4dc7-b79b-dab140750c4e · outbound

This paper cites Lost in embeddings: Information loss in vision-language models.

Large Vision-Language Models Get Lost in Attention Lost in embeddings: Information loss in vision-language models

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.177589Z

Source-reported events for the cited work

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

Observation 18d20210-6506-470c-993e-8ef6ab7ba764 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.911527Z

Source-reported events for the cited work

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

Observation db8789d8-9a56-4ceb-ac7f-8ebf9a68d692 · outbound

This paper cites Proceedings of the IEEE/cvf conference on computer vision and pattern recognition , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/cvf conference on computer vision and pattern recognition , pages=

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.696101Z

Source-reported events for the cited work

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

Observation 89e85854-9e2f-4a16-8249-a43253fd8e4d · outbound

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

Large Vision-Language Models Get Lost in Attention MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 83

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:26:10.087311Z

Source-reported events for the cited work

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

Observation 989e81c3-98d2-487b-882d-8b6f8a2bdf41 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.699628Z

Source-reported events for the cited work

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

Observation 74919e17-09df-484e-8232-213e2d76e562 · outbound

This paper cites European conference on computer vision , pages=.

Large Vision-Language Models Get Lost in Attention European conference on computer vision , pages=

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.725215Z

Source-reported events for the cited work

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

Observation 861aa146-28df-4eeb-a40c-f0c255f10a4e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in Neural Information Processing Systems , volume=

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.775530Z

Source-reported events for the cited work

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

Observation 190f78a1-64fd-4c96-b180-65b8048bd918 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.835778Z

Source-reported events for the cited work

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

Observation 4a7c1da0-d9a6-48c7-af51-432ad6f89c8e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in Neural Information Processing Systems , volume=

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.924869Z

Source-reported events for the cited work

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

Observation 3b5ff55d-546f-48b7-b430-d2b787eee422 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.915062Z

Source-reported events for the cited work

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

Observation de248ec5-5dcb-465e-a4ce-603797241e82 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Large Vision-Language Models Get Lost in Attention Advances in Neural Information Processing Systems , volume=

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.904816Z

Source-reported events for the cited work

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

Observation 3bb661be-b375-479f-8ec9-11b986d45457 · outbound

This paper cites 2019 international conference on document analysis and recognition (ICDAR) , pages=.

Large Vision-Language Models Get Lost in Attention 2019 international conference on document analysis and recognition (ICDAR) , pages=

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.908069Z

Source-reported events for the cited work

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

Observation 81a5c754-9d88-4a9e-b8ea-a0eb599dce08 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.918280Z

Source-reported events for the cited work

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

Observation bca0cddb-f28c-4606-b0d5-7739454cf8e2 · outbound

This paper cites Proceedings of the IEEE/CVF winter conference on applications of computer vision , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF winter conference on applications of computer vision , pages=

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.927772Z

Source-reported events for the cited work

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

Observation b898e084-f28e-41b2-a8bd-a7a276d22f88 · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.

Large Vision-Language Models Get Lost in Attention Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.944629Z

Source-reported events for the cited work

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

Observation b8de3f03-d4b1-433d-8177-a1d4fda22277 · outbound

This paper cites Findings of the association for computational linguistics: ACL 2022 , pages=.

Large Vision-Language Models Get Lost in Attention Findings of the association for computational linguistics: ACL 2022 , pages=

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.901680Z

Source-reported events for the cited work

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

Observation 337392d0-cd18-4361-8da3-3c078145457c · outbound

This paper cites TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains.

Large Vision-Language Models Get Lost in Attention TableVQA-Bench: A Visual Question Answering Benchmark on Multiple Table Domains

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:26:10.158675Z

Source-reported events for the cited work

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

Observation 19cfb20e-dd59-4195-9f13-628dc819a40c · outbound

This paper cites European conference on computer vision , pages=.

Large Vision-Language Models Get Lost in Attention European conference on computer vision , pages=

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.891445Z

Source-reported events for the cited work

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

Observation 09b73168-6da8-44ac-b4b9-191051aee032 · outbound

This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , year=.

Large Vision-Language Models Get Lost in Attention Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , year=

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.881827Z

Source-reported events for the cited work

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

Observation f8fd19c9-641b-4e45-be0a-d40216b67aac · outbound

This paper cites Pattern Recognition , volume=.

Large Vision-Language Models Get Lost in Attention Pattern Recognition , volume=

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.771786Z

Source-reported events for the cited work

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

Observation 6d1d8e82-7c52-4633-a306-9b10674a8cdc · outbound

This paper cites International radio consultative committee international telecommunication union, Switzerland, CCIR Rep , year=.

Large Vision-Language Models Get Lost in Attention International radio consultative committee international telecommunication union, Switzerland, CCIR Rep , year=

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T13:52:25.878524Z

Source-reported events for the cited work

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

Pith citing papers

Observation 041da2f2-47f5-4c30-a270-ef1644f2b887 · inbound

Neutral-Reference Prompting for Vision-Language Models cites this paper.

Neutral-Reference Prompting for Vision-Language Models Large Vision-Language Models Get Lost in Attention

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-20T19:18:54.588613Z

Source-reported events for the cited work

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

Observation 2932d443-7ca2-4eb8-91e9-9d3ae65cfb9b · inbound

Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR cites this paper.

Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR Large Vision-Language Models Get Lost in Attention

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T23:22:46.859174Z

Source-reported events for the cited work

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

Observation 93f6a3f6-8b13-40e2-91c3-439bbea38df3 · inbound

Attend, Transform, or Silence: Operator-Level Visual Skipping for Efficient Multimodal LLM Inference cites this paper.

Attend, Transform, or Silence: Operator-Level Visual Skipping for Efficient Multimodal LLM Inference Large Vision-Language Models Get Lost in Attention

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-01T10:15:44.348814Z

Source-reported events for the cited work

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

Observation 8464f449-14a3-48b5-a720-e099a9d89376 · inbound

The Ebb and Flow of Multimodal Focus: Scheduling Visual Relay Windows for Grounded VLM Reasoning cites this paper.

The Ebb and Flow of Multimodal Focus: Scheduling Visual Relay Windows for Grounded VLM Reasoning Large Vision-Language Models Get Lost in Attention

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-14T05:37:19.632869Z

Source-reported events for the cited work

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Observation 96c465d8-e87e-435d-b505-406ff384edd9 · inbound

The Ebb and Flow of Multimodal Focus: Scheduling Visual Relay Windows for Grounded VLM Reasoning cites this paper.

The Ebb and Flow of Multimodal Focus: Scheduling Visual Relay Windows for Grounded VLM Reasoning Large Vision-Language Models Get Lost in Attention

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