Paper Citation Record · LEDGER

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

As of 6 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 83 inbound Pith citation observations for arXiv:2311.07397.

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

pith.paper-citation-record.v1
2311.07397 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T06:44:30.244832Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 83 of 83 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:01:21.911363Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

15 of 15 outbound references displayed

verified exact2
verified fuzzy1
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch11

External citation measurements

5
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 4fae456d-dcfd-49f0-8dd5-d522b445651a · outbound

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

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T06:44:30.255573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 72438d33-d6a7-4c81-ae4d-ac15b8f77eb5 · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:13:09.112362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ebfe2f07-3c75-4b6a-a751-44e18dc5068f · outbound

This paper cites Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:44:30.262451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation db64966c-f9ca-4183-8ba3-b3b51aeabc8e · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T06:44:30.265570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8c07c8cd-fb6a-4391-8e50-37ab43adedc0 · outbound

This paper cites Detecting and Preventing Hallucinations in Large Vision Language Models.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.269162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4259dd1d-4bdb-4ba4-98ae-3e5402d1be4a · outbound

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

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Evaluating Object Hallucination in Large Vision-Language Models

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T06:44:30.272031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5516fe02-acea-481b-ba3f-ca92fb1914d9 · outbound

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

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T01:22:04.360724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d1427d34-d1c9-463d-8c29-1914b729ebb1 · outbound

This paper cites GPT-4 Technical Report.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation GPT-4 Technical Report

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T06:44:30.277943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b2ecb0dd-577a-4dee-a739-ebb90b134473 · outbound

This paper cites Object Hallucination in Image Captioning.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Object Hallucination in Image Captioning

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T06:44:30.280751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f27492ce-3c6b-4e25-99fd-08acb02b087b · outbound

This paper cites An Early Evaluation of GPT-4V(ision).

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation An Early Evaluation of GPT-4V(ision)

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.283867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8fd516e5-25b9-4ba0-8838-8dacf945c03b · outbound

This paper cites Woodpecker: Hallucination Correction for Multimodal Large Language Models.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:44:30.287001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 36fa94fb-4a79-4e12-9047-107b572f97f8 · outbound

This paper cites HallE-Control: Controlling Object Hallucination in Large Multimodal Models.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation HallE-Control: Controlling Object Hallucination in Large Multimodal Models

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:44:30.289828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 03cff078-5166-4b34-b19b-d38acffb1595 · outbound

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

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T06:44:30.292836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 22f5d81d-582b-4519-a30d-9bfd4f6343b5 · outbound

This paper cites UnSplash adopts the Cre- ative Commons Zero (CC0) license, allowing free use anywhere without requiring attribution to the source or author.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation UnSplash adopts the Cre- ative Commons Zero (CC0) license, allowing free use anywhere without requiring attribution to the source or author

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T06:44:30.295030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ce7f92a7-37df-4a2d-893b-368d70ee4c00 · outbound

This paper cites an unresolved cited work.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-16T06:44:30.297015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation 696495b4-cf43-40ba-9a82-d1a771272f7c · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 03adb8c5-8b16-4bb9-9a12-b55352981b01 · inbound

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

A Survey on Hallucination in Large Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 425dcb82-e27a-4760-9917-6af1e2a865f7 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 164

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d0d3e306-646e-4345-8442-c89e2f3f0d57 · inbound

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs cites this paper.

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-23T16:58:12.066140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4d288d77-fe5d-4cbc-9377-b4bd9d896f40 · 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 AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T12:52:18.049277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f45e98b7-e781-4d27-9edd-a4e445a515fa · inbound

Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding cites this paper.

Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:43:02.177568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1980e2c4-2e4d-41ba-9368-81126aa4d22e · inbound

ZINA: Multimodal Fine-grained Hallucination Detection and Editing cites this paper.

ZINA: Multimodal Fine-grained Hallucination Detection and Editing AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T10:12:14.605836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fcc17498-c68c-42f6-8f16-af4949a063ad · inbound

Mitigating Object Hallucinations via Sentence-Level Early Intervention cites this paper.

Mitigating Object Hallucinations via Sentence-Level Early Intervention AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:35:32.748703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1d626fc4-04e1-45b0-8f32-b2b63f8b26ac · inbound

TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs cites this paper.

TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-19T02:57:00.464427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 438cd640-75ce-4f27-b2f4-723bf4f42247 · inbound

SHALE: A Scalable Benchmark for Fine-grained Hallucination Evaluation in LVLMs cites this paper.

SHALE: A Scalable Benchmark for Fine-grained Hallucination Evaluation in LVLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:21.911363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5bee5c2-4487-4ccc-a420-ecd5e506f822 · inbound

Controlling Multimodal LLMs via Reward-guided Decoding cites this paper.

Controlling Multimodal LLMs via Reward-guided Decoding AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T19:52:50.342468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e47e4548-3d66-4c7c-812c-0ee946ed0445 · inbound

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization cites this paper.

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T15:18:37.343758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b6c077-23cc-4477-a5c5-6b81ac26d8f7 · inbound

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models cites this paper.

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-18T15:26:33.825904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6dcb111f-2b4a-42af-9f45-3526529cefa9 · inbound

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models cites this paper.

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-21T21:30:39.426357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 724c066f-4de0-4433-9fdf-1f9bd3082f46 · inbound

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-18T04:40:52.975909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7901e68e-1256-4f6f-8687-125f3d63a3c0 · inbound

VOPE: Revisiting Hallucination of Vision-Language Models in Voluntary Imagination Task cites this paper.

VOPE: Revisiting Hallucination of Vision-Language Models in Voluntary Imagination Task AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T21:51:15.558216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814881ca-cc68-40cf-b3cb-552b112a7982 · inbound

MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.

MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-21T19:54:20.280876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d7bff121-8c7d-46a1-abdf-1be599f5440a · inbound

MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.

MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T21:44:02.688593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6c6808-7b3e-488e-b724-536632b5001d · inbound

Tell Model Where to Look: Mitigating Hallucinations in MLLMs by Vision-Guided Attention cites this paper.

Tell Model Where to Look: Mitigating Hallucinations in MLLMs by Vision-Guided Attention AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:59:03.939203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 06cb738e-2201-498e-9c17-a496c9d3847c · inbound

AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models cites this paper.

AGMark: Attention-Guided Dynamic Watermarking for Large Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T02:55:54.264673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d978bc6-0e08-46f7-85d7-95f63966899b · inbound

SAVAA: Mitigating Hallucinations in LVLMs via Step-wise Adaptive Visual Attention Amplification cites this paper.

SAVAA: Mitigating Hallucinations in LVLMs via Step-wise Adaptive Visual Attention Amplification AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T23:33:15.723808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52337cd1-dd23-46a7-bf09-246223ee009c · inbound

Steering the Verifiability of Multimodal AI Hallucinations cites this paper.

Steering the Verifiability of Multimodal AI Hallucinations AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dea0aeca-22fe-41aa-95db-da4987d329f3 · inbound

Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction cites this paper.

Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c0c099b1-e24e-45a5-a263-6c9b07969776 · inbound

AVID: A Benchmark for Omni-Modal Audio-Visual Inconsistency Understanding via Agent-Driven Construction cites this paper.

AVID: A Benchmark for Omni-Modal Audio-Visual Inconsistency Understanding via Agent-Driven Construction AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ed17b389-8c49-42d4-950e-703a0deabac0 · inbound

SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models cites this paper.

SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 110004b0-559c-40ff-9652-55dded68e5fd · inbound

Mitigating Multimodal Hallucination via Phase-wise Self-reward cites this paper.

Mitigating Multimodal Hallucination via Phase-wise Self-reward AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d72a03cd-466c-4772-990c-3884a7870a73 · inbound

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation cites this paper.

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 169

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4d13a34b-6089-4305-92f3-b9e43ed02d7e · inbound

R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs cites this paper.

R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 78de0ede-9701-4a55-a3d7-1864992201e0 · inbound

DO-Bench: An Attributable Benchmark for Diagnosing Object Hallucination in Vision-Language Models cites this paper.

DO-Bench: An Attributable Benchmark for Diagnosing Object Hallucination in Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a0057b95-6a8d-4d91-9559-469005593ede · 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 AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f5a5cb60-f0a0-4408-8da6-0ea7367b1178 · inbound

Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent cites this paper.

Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8c535f83-c195-4bec-961c-03b752575d32 · inbound

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination cites this paper.

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f388d7bf-c20c-44dd-a2fb-ebed63d6825b · inbound

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models cites this paper.

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 107

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d49c79f8-a40a-4f67-8f9f-a95544485820 · inbound

Dual-Pathway Circuits of Object Hallucination in Vision-Language Models cites this paper.

Dual-Pathway Circuits of Object Hallucination in Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8cfa8987-711c-439a-9cee-226963125ca3 · inbound

OxyEcomBench: Benchmarking Multimodal Foundation Models across E-Commerce Ecosystems cites this paper.

OxyEcomBench: Benchmarking Multimodal Foundation Models across E-Commerce Ecosystems AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c0ee329a-0924-4614-aa4c-eddd91b5e93a · inbound

Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution cites this paper.

Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:44:30.297623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 38f0b5b6-2c5b-486d-9bd5-16c53418ab14 · inbound

MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMs cites this paper.

MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-30T21:45:05.366568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0f299485-e1ce-4558-9259-5049c4fc8ae4 · inbound

Deep Pre-Alignment for VLMs cites this paper.

Deep Pre-Alignment for VLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-05-19T16:27:39.200852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9ea02b02-a5f0-412d-8c7a-692caae57399 · inbound

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study cites this paper.

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:37:45.348375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 07692a6f-49ca-4a0b-ab83-f372e41f6148 · inbound

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study cites this paper.

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:00.650041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bb18b16c-4cdd-4e80-808f-c991c79f7320 · inbound

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? cites this paper.

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-21T06:59:45.703790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 21fec242-85a5-45ef-9b96-72c197095ab6 · inbound

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? cites this paper.

Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects? AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:54:57.798451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d3dedb39-0026-4fb8-8706-f7a54e0c7578 · inbound

CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs cites this paper.

CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:05:22.954131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bcd0a2ac-14bc-4b50-96e7-13adb61aedc3 · inbound

Adversarial Orthogonal Disentanglement for LVLM Hallucination Mitigation cites this paper.

Adversarial Orthogonal Disentanglement for LVLM Hallucination Mitigation AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:44:01.544790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d4eea06d-10e0-422f-8b66-2a9f9150628c · inbound

DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models cites this paper.

DRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:54:00.648151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8db8049f-d419-4e2e-adfa-ca016eea7b48 · inbound

Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization cites this paper.

Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:13:27.593584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 75f1a8b4-e8e6-4255-b364-91cfc975f5ec · inbound

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation cites this paper.

Rethinking Visual Neglect: Steering via Context-Preference for MLLM Hallucination Mitigation AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:33:28.071727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6cc4f3b2-5980-4151-8048-a249405a1a46 · inbound

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning cites this paper.

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:23:28.431392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1b020066-d35a-4584-9613-aa90841a3b9d · inbound

The Abstraction Gap in Vision-Language Causal Reasoning cites this paper.

The Abstraction Gap in Vision-Language Causal Reasoning AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T13:23:27.358017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0d63217c-ff0f-40e7-9fca-2a0da55ef107 · inbound

Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization cites this paper.

Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T22:52:44.642823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97f3db78-6e84-43b1-ad5a-601278b945e8 · inbound

YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models cites this paper.

YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:22:46.907565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d6482512-9d86-4e62-901a-dc1060dab702 · inbound

MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue cites this paper.

MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T19:12:34.930643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fd12317a-5689-4364-96a3-ddefd2799536 · inbound

P$^2$-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization cites this paper.

P$^2$-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 105

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:06:27.148612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a4233c4c-eb73-4529-8b2d-aeed4f611c4c · inbound

OmniHalluc-L: Counterfactual Benchmarking and Modality-Perturbation Reliability Calibration for Long-Form Omni Hallucination cites this paper.

OmniHalluc-L: Counterfactual Benchmarking and Modality-Perturbation Reliability Calibration for Long-Form Omni Hallucination AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-02T06:06:41.668889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 19d85dd3-999a-45a4-b510-c9eeb746b59b · inbound

Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation cites this paper.

Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:06:29.653852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dfab3b2b-9e2d-44a9-88d4-b308ddd35b12 · inbound

Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality cites this paper.

Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T14:28:31.503875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f46f349e-279c-40af-9e28-903ead1dc23d · inbound

Spectral Query-Key Product Weight Steering for Training-Free VLM Hallucination Mitigation cites this paper.

Spectral Query-Key Product Weight Steering for Training-Free VLM Hallucination Mitigation AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T03:19:30.613780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fda5f32f-48c4-4dfc-8b7a-3b63c2786b48 · inbound

Mind the Heads: Topological Representation Alignment for Multimodal LLMs cites this paper.

Mind the Heads: Topological Representation Alignment for Multimodal LLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:29:45.291160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 332108f1-275b-4c3b-ae1a-1138c1c0b657 · inbound

Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs cites this paper.

Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:49:57.367448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 89e50f02-4ba7-44be-b5b0-6567a98ab129 · inbound

GAVEL: Grounded Caption Error Verification and Localization cites this paper.

GAVEL: Grounded Caption Error Verification and Localization AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 88

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T13:59:52.173536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 24a85fdf-1b84-4464-8917-17f9451079bb · inbound

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs cites this paper.

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:35:47.673766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8e7cfbb3-9e58-4941-acd1-5e71b67b8467 · inbound

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty cites this paper.

Detecting Clinical Hallucinations in LVLMs via Counterfactual Visual Grounding Uncertainty AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T15:25:47.549579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2ba23782-a643-48a2-a572-8254bbf996f3 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 296

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:45:47.767870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 659d5c3a-6979-4774-90d9-038a018fb6b6 · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 296

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:17:23.983710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5eecbff1-546f-4101-899a-ffdfe42c1c61 · 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 AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:14:18.712001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b869c51c-d46c-4a21-a823-a5127f6d84e3 · 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 AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-07-01T07:05:28.595401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 98874eb0-f959-4d7f-8ece-a41fd31f1d8c · inbound

Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning cites this paper.

Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:14:19.324844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7c52c8f6-3d7f-4078-8035-42b46cc72396 · inbound

ADAPT: Attention Dynamics Alignment with Preference Tuning for Faithful MLLMs cites this paper.

ADAPT: Attention Dynamics Alignment with Preference Tuning for Faithful MLLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T06:55:29.454884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b758eb0e-a615-48d8-a20e-cfcfe6254cd4 · inbound

MoHallBench: A Benchmark for Motion Hallucination in Video Large Language Models cites this paper.

MoHallBench: A Benchmark for Motion Hallucination in Video Large Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:46:58.699085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 61c767f6-271d-412d-a0af-c84cc599ffe5 · inbound

SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering cites this paper.

SeeMe: Mitigating Hallucinations in Large Vision-Language Models through Effective Visual Token Engineering AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T21:15:25.010442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba68e578-2f5c-4c87-8554-e2e497fa2898 · inbound

Failing to See or Failing to Know? Attributing Errors in Vision-Language Models cites this paper.

Failing to See or Failing to Know? Attributing Errors in Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T15:14:25.526254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c31dd46-d53f-41ed-a283-5d2c7b7bd83e · inbound

Failing to See or Failing to Know? Attributing Errors in Vision-Language Models cites this paper.

Failing to See or Failing to Know? Attributing Errors in Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T06:57:34.446788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a6c600-5fa5-42d7-9369-8a80301bce63 · inbound

Failing to See or Failing to Know? Attributing Errors in Vision-Language Models cites this paper.

Failing to See or Failing to Know? Attributing Errors in Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T04:32:13.456810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c90494-c6af-478c-bc5c-8ace625ed026 · inbound

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs cites this paper.

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T04:15:38.829299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e853cb15-1467-49b3-9232-eafd1d654b27 · inbound

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models cites this paper.

HalluScope: Fine-grained Hallucination Diagnosis for Multimodal Large Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T08:33:10.159367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f392fc2-ebd7-4c9d-b058-17b934684485 · inbound

Do VLMs Read or Rewrite? On Transcription Faithfulness in Vision-Language Models cites this paper.

Do VLMs Read or Rewrite? On Transcription Faithfulness in Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T12:46:11.926310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2def962e-65c5-4aac-a3f6-e23a0724565e · inbound

Witness Evidence Portfolios: Single-Prefill Risk Detection for Closed Multimodal Answers cites this paper.

Witness Evidence Portfolios: Single-Prefill Risk Detection for Closed Multimodal Answers AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T03:42:52.846157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27009a57-23bd-409e-a5c4-904af27009de · inbound

Hallucinations Leave a Grounding Signature:Verifier-Guided Decoding for Selective Object Correction cites this paper.

Hallucinations Leave a Grounding Signature:Verifier-Guided Decoding for Selective Object Correction AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T00:51:14.580758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bde4e6e-b9e5-42d1-9176-f155c58c7a3c · inbound

When Model Priors Conflict with Visual Evidence: Mitigating Commonsense-Driven Hallucinations by Selective Prior Calibration cites this paper.

When Model Priors Conflict with Visual Evidence: Mitigating Commonsense-Driven Hallucinations by Selective Prior Calibration AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T11:04:34.793200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8791458-a3bf-460a-b865-a9b6c84fe5ed · 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 AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T07:33:41.848506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36c4bcb1-7f19-46cb-b2e1-9ac049456285 · inbound

What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs cites this paper.

What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T02:46:49.754557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b564b04-09e0-4309-b93f-7128966682b0 · inbound

KnowHal: A Knowledge-Driven Benchmark for Comprehensive Multimodal Hallucination Evaluation cites this paper.

KnowHal: A Knowledge-Driven Benchmark for Comprehensive Multimodal Hallucination Evaluation AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T12:40:15.133755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a30d32d5-2efc-4a72-b0cc-239e8a86a31a · inbound

UHP Detection: LVLMs have their Unique Hallucination Pattern in the Consistency Space cites this paper.

UHP Detection: LVLMs have their Unique Hallucination Pattern in the Consistency Space AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T11:53:26.590262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.