Paper Citation Record · LEDGER

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

As of 13 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 26 inbound Pith citation observations for arXiv:2411.09968.

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

pith.paper-citation-record.v1
2411.09968 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:12:25.404728Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:45:44.844437Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.531800Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy11
unresolved34
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bdf3ce59-f4fb-443c-b551-e1cdc020408b · outbound

This paper cites GPT-4 Technical Report.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.203681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7edc2242-ccb9-4131-bdc0-7323c428ea06 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.208627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ec5f85-d198-4d90-9c18-217dfa8d8ad4 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.214251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdebd2eb-b4a3-4829-94c9-6d9ea2d514b6 · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.218918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17949207-2723-4a66-818d-56cc299b48a8 · outbound

This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:26.042804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e08f02a7-5035-45cd-af36-091819707549 · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:26.026650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50dc7d26-2604-4912-b175-5a42100c1be3 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.232011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90dd223b-9406-44c2-91c4-9c6ec5305db1 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.236127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28930993-de74-4e22-ac99-749a59bcc78e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Training Verifiers to Solve Math Word Problems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.241066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fee5eec-0fbb-46b3-969d-889ba0becc2b · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Instructblip: Towards general-purpose vision-language models with instruction tuning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:26.012141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4944e9e-bd67-4a88-92c1-f0a5547785b1 · outbound

This paper cites The Llama 3 Herd of Models.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs The Llama 3 Herd of Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.248563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a73a8d-5055-4bab-a60d-3fca6d663680 · outbound

This paper cites BLINK: Multimodal Large Language Models Can See but Not Perceive.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs BLINK: Multimodal Large Language Models Can See but Not Perceive

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.253133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67f5bda6-596a-4d9a-a239-64c14c72b8df · outbound

This paper cites MultiModal-GPT: A Vision and Language Model for Dialogue with Humans.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs MultiModal-GPT: A Vision and Language Model for Dialogue with Humans

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.257623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249facda-1336-49e5-8d2b-9fedfb069ed3 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.263326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08f94172-720d-4d48-b4e7-c60aa6411e96 · outbound

This paper cites HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.268178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04fd8043-e9b7-43e6-8cd3-5d6d94a60980 · outbound

This paper cites Vizwiz grand challenge: Answering visual questions from blind people.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Vizwiz grand challenge: Answering visual questions from blind people

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.273662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dd6f320-4415-40c5-ae84-4ffd40b13db7 · outbound

This paper cites Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection- allocation.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection- allocation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:25.980565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 71b4606c-a735-4a59-bdc2-9cb188612e7e · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.282846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3c6c01-cae0-42e2-a720-6c6dbbdb855a · outbound

This paper cites Mistral 7B.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Mistral 7B

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.287281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3f93f4-6b9b-4d6a-ae35-89e96d5df01a · outbound

This paper cites Mitigating object hal- lucinations in large vision-language models through visual contrastive decoding.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Mitigating object hal- lucinations in large vision-language models through visual contrastive decoding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:25.958089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 12e930f2-abdb-4369-a725-0fdd98b63cdb · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.296636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fac54ec-00b3-4245-bab3-54e5af2ebd1b · outbound

This paper cites Fine-tuning multimodal llms to follow zero-shot demonstrative instructions.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Fine-tuning multimodal llms to follow zero-shot demonstrative instructions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:25.944435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b66e17d-6d70-4075-8d5b-d02e123e53d6 · outbound

This paper cites Inference-time intervention: Elicit- ing truthful answers from a language model.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Inference-time intervention: Elicit- ing truthful answers from a language model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:25.930773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 41c52b43-b604-4860-be98-45ad83773317 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Evaluating Object Hallucination in Large Vision-Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.309482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a96c06-e4e9-428f-82e6-e6caed302a18 · outbound

This paper cites LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.313654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faf51b02-6611-4def-a105-ed2e629d979c · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.317748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 101b9bf6-7512-4ad7-83b4-f8a685d48526 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.323100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3627312f-4097-4036-88b1-15e0e8897df0 · outbound

This paper cites Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.327970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cfc0dfa-21d9-4b2e-8541-baf5e2644961 · outbound

This paper cites Visual instruction tuning.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Visual instruction tuning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:25.916731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6090bd95-5c06-4e1a-abdd-f86a34d4c252 · outbound

This paper cites Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Mitigating Dialogue Hallucination for Large Vision Language Models via Adversarial Instruction Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.335894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a55ec2-3aac-4279-a420-b4cac8b0513b · outbound

This paper cites Object Hallucination in Image Captioning.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Object Hallucination in Image Captioning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.339770Z

Source-reported events for the cited work

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Observation 512cb94c-b825-4d7c-9595-460fdb5b935b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Gemini: A Family of Highly Capable Multimodal Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.343655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96e4df4f-10ad-412a-940b-42dded73a0ad · outbound

This paper cites Qwen2.5: A party of foundation models, 2024.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Qwen2.5: A party of foundation models, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:25.903605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37a4881e-785b-4bf9-b3e8-5a552002ccb0 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs LLaMA: Open and Efficient Foundation Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.352607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d09e604-e5bb-45b0-bb55-56cd6ae902f4 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.357101Z

Source-reported events for the cited work

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Observation 6d34a6f8-646b-4d3b-961e-020806eddbfb · outbound

This paper cites Dopra: Decoding over-accumulation penalization and re-allocation in specific weighting layer.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Dopra: Decoding over-accumulation penalization and re-allocation in specific weighting layer

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:25.891262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad6b1db3-5500-43e3-a82f-2eb847c59763 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Efficient Streaming Language Models with Attention Sinks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.365865Z

Source-reported events for the cited work

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Observation bef5eb58-35af-4d93-bf56-ec2992193af6 · outbound

This paper cites Mitigating Object Hallucination via Concentric Causal Attention.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Mitigating Object Hallucination via Concentric Causal Attention

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.370246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50911a35-d0c8-4b9a-b77b-c795299b24d3 · outbound

This paper cites Qwen2 Technical Report.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Qwen2 Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.374701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20c63d24-b751-40d1-8413-7eb3c0896b70 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs A Survey on Multimodal Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.378642Z

Source-reported events for the cited work

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Observation e2ae72f2-a74e-4f25-b16c-9c8de09397e2 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.382754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dae5ba5-8f92-49ef-b141-71c705dc3706 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.386894Z

Source-reported events for the cited work

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Observation 986840d2-860e-4ea8-aadf-d8a3198c3ec6 · outbound

This paper cites Less is more: Mit- igating multimodal hallucination from an eos decision per- spective.

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Less is more: Mit- igating multimodal hallucination from an eos decision per- spective

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:12:25.877905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a42786b8-adcd-447c-9b03-8663bfeb7d2c · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.396200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e289667-89a8-4c1a-bbaa-5a491e60b570 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T20:12:25.400685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1c0026-83ec-4945-988b-9196c20bd4c7 · outbound

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

Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 46

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Source-reported events for the cited work

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Pith citing papers

Observation 83c98cf1-a1eb-4065-94db-c6cafa868ab6 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:33:33.392872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a995798a-d4f3-4859-90c3-06a9585b31c1 · inbound

Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation cites this paper.

Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:44.844437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28872082-b61b-4bc2-a25c-581e6cef690d · inbound

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence cites this paper.

Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T12:43:20.946064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc7c7a60-b5cd-455f-9cbd-42add66843ff · inbound

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP cites this paper.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T00:13:13.296393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e15d85e-44ab-453c-a203-02c5a20a7bdb · inbound

First-place Solution for Streetscape Shop Sign Recognition Competition cites this paper.

First-place Solution for Streetscape Shop Sign Recognition Competition Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:47.769539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec6a6d8e-3533-4188-af1d-8de9b73f68c0 · inbound

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models cites this paper.

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T15:26:18.988905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebc0f3a-e102-4dca-b569-c3eb4c548913 · inbound

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration cites this paper.

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:52:18.038564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd025866-4c0b-4594-a251-6f09b8e08d4a · inbound

Mitigating Object Hallucination via Robust Local Perception Search cites this paper.

Mitigating Object Hallucination via Robust Local Perception Search Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:03.925130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40febfed-cfd1-45df-b202-9a1c71f8ff8a · inbound

Dense360: Dense Understanding from Omnidirectional Panoramas cites this paper.

Dense360: Dense Understanding from Omnidirectional Panoramas Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:55.899256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e6f998-a196-4e31-9939-9d1029a12a5b · inbound

DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World cites this paper.

DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:40.755138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39613d2d-a4c9-482a-b3a3-f5002c3b70f0 · inbound

Kwai Keye-VL Technical Report cites this paper.

Kwai Keye-VL Technical Report Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T20:45:10.173386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models cites this paper.

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

Reference 80

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bacc4ae4-e3ee-494c-9aba-71a237fc9cf9 · inbound

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models cites this paper.

METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T13:18:05.927482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62c4938f-dd71-462f-864a-de109ec7fbf6 · inbound

ART: Attention Replacement Technique to Improve Factuality in LLMs cites this paper.

ART: Attention Replacement Technique to Improve Factuality in LLMs Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:30:50.979622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37287928-a3b5-44a7-bc42-95ff7d4b799c · inbound

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation cites this paper.

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 115

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:05:58.215429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5747b385-5d87-4b9b-aba8-13ecf1503094 · inbound

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models cites this paper.

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:51:09.369022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e982e3b9-b9e9-42e6-8717-eae43d9fc9fa · inbound

When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs cites this paper.

When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:57:05.213662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5db316ef-8f41-418d-aa82-0024bc6a2b87 · inbound

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning cites this paper.

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:34:01.812681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 92e378c1-1714-4936-9518-e44b121c1eea · inbound

Kwai Keye-VL-2.0 Technical Report cites this paper.

Kwai Keye-VL-2.0 Technical Report Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:37.089106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 84a780bb-3bc0-4210-9694-dd90f5009521 · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:20:06.533244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 73f85c7e-294c-4727-b8ef-8ffda2e6fd37 · inbound

Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation cites this paper.

Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:14:18.706272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a30c4598-20f2-4a9c-88e3-5a1c5d2af6da · inbound

Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation cites this paper.

Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T07:05:28.648935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 61274ef6-e42d-42c0-9004-a2d54a9bb2f6 · 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 Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 57

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b720e1-8e49-4199-8617-94ac48974886 · 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 Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T07:01:25.384563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b67b8773-e6d1-4d58-94f5-fec2ac192c8e · inbound

ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding cites this paper.

ST-Veto: Spatio-Temporal Token Veto for Diffusion MLLMs via Taylor Prediction and Visual Grounding Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T16:48:36.743797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef72004c-976b-4f46-82b5-678fe5cacc2f · inbound

Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs cites this paper.

Role-Break in Attention Heads: Understanding and Detecting Hallucinations in VLMs Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T07:33:41.915824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.