Paper Citation Record · LEDGER

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

As of 18 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 7 inbound Pith citation observations for arXiv:2411.15268.

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

pith.paper-citation-record.v1
2411.15268 v1

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:13.537132Z

measured 107 of 107 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:31:48.129034Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

100 of 109 outbound references displayed

verified exact0
verified fuzzy32
unresolved68
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 5bf3cff3-b313-4ebb-9688-180bb63494ff · outbound

This paper cites Characterizing attri- bution and fluency tradeoffs for retrieval-augmented large language models, 2023.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Characterizing attri- bution and fluency tradeoffs for retrieval-augmented large language models, 2023

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.073295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2110590e-931b-48e0-8525-78aec777a575 · outbound

This paper cites Flamingo: A visual language model for few-shot learn- ing.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Flamingo: A visual language model for few-shot learn- ing

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.078618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d06465c-163e-4f2f-a0fa-0d34a6ddf5b9 · outbound

This paper cites Agla: Mitigating object hallucinations in large vision- language models with assembly of global and local atten- tion.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Agla: Mitigating object hallucinations in large vision- language models with assembly of global and local atten- tion

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.083455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d513063-a17a-42ae-bf08-f0c3b91b87f0 · outbound

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

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.087983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 087fe474-6710-4b00-97f2-ccb891fad723 · outbound

This paper cites Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.092979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc274547-f61a-4c02-a4ae-e07e0c60ed7c · outbound

This paper cites Kaplan, Prafulla Dhariwal, Arvind Neelakan- tan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Kaplan, Prafulla Dhariwal, Arvind Neelakan- tan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.097933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4a84d4-d90c-42e7-b71f-0e151caaaced · outbound

This paper cites Alleviating hallucinations in large vision- language models through hallucination-induced optimiza- tion, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Alleviating hallucinations in large vision- language models through hallucination-induced optimiza- tion, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.102430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b2fa43-ba5e-4b71-a8cf-3df6530646a9 · outbound

This paper cites Selfie: Self-interpretation of large language model embeddings,.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Selfie: Self-interpretation of large language model embeddings,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.106757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b866d73-ad6e-4106-a507-168f2ae2f244 · outbound

This paper cites Halc: Object hallucination re- duction via adaptive focal-contrast decoding.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Halc: Object hallucination re- duction via adaptive focal-contrast decoding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.111106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f83474-4071-49f9-b51b-3b74b128bc68 · outbound

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

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.115617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe2fede-d354-462c-8ea5-1aa7c7bb9baf · outbound

This paper cites FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.120482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93dbd33a-4c9f-43fc-a7e3-e12014474197 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.125233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 401b0bbf-362d-4f5b-8f3b-73c27306b6ee · outbound

This paper cites Fine-grained im- age captioning with clip reward.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Fine-grained im- age captioning with clip reward

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.129587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4cb23d-e92d-49af-944d-2b55e2c36d14 · outbound

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

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.134982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 213e1443-4bae-4003-a86f-e7e055f4d87c · outbound

This paper cites Support-vector networks.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Support-vector networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.141448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce569ec1-9415-4cc1-875f-bc775dcba34d · outbound

This paper cites Large Language Models with Controllable Working Memory.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Large Language Models with Controllable Working Memory

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.145701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4f527fa-94ca-43ce-b211-ca1245be8cfa · outbound

This paper cites Retrieve only when it needs: Adaptive re- trieval augmentation for hallucination mitigation in large language models, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Retrieve only when it needs: Adaptive re- trieval augmentation for hallucination mitigation in large language models, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.149745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d6686d7-37f8-4d10-8d46-194e17e21d75 · outbound

This paper cites Detecting hallucinations in large language mod- els using semantic entropy.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Detecting hallucinations in large language mod- els using semantic entropy

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.155659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f74253a-5d5a-4151-a937-0671bfa4f927 · outbound

This paper cites Costa-juss `a.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Costa-juss `a

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.162836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 892e2787-dd54-48b3-a4de-7e98615d5cb8 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.169039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8503eef4-ac4a-4251-9192-4638951f7437 · outbound

This paper cites Textbooks are all you need, 2023.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Textbooks are all you need, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.174191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 085bc131-ba80-4dad-a7dd-2139119a287c · outbound

This paper cites Detecting and preventing hallucinations in large vision language models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Detecting and preventing hallucinations in large vision language models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.178415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2abb2be-3c02-44e0-bc83-2047cbf33a90 · outbound

This paper cites Detecting and preventing hallucinations in large vision language models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Detecting and preventing hallucinations in large vision language models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.182461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1abcd346-d645-44b5-8487-b3339d102b12 · outbound

This paper cites Swapmix: Diagnosing and regularizing the over-reliance on visual context in vi- sual question answering.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Swapmix: Diagnosing and regularizing the over-reliance on visual context in vi- sual question answering

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.186680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a75ddbc-1da3-4c8d-8227-4c24124d7133 · outbound

This paper cites Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.191009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd8eb20-b655-4a0b-9bc6-66f6f2b5f18e · outbound

This paper cites Denoising dif- fusion probabilistic models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Denoising dif- fusion probabilistic models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.195786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb90199-14d9-4d0b-b297-647d44f44a60 · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models CogVLM2: Visual Language Models for Image and Video Understanding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.200029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5c5b4e-b6a2-4059-8164-800edc402382 · outbound

This paper cites LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models LRP4RAG: Detecting Hallucinations in Retrieval-Augmented Generation via Layer-wise Relevance Propagation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.204560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 336853ca-4c79-4f18-a62e-2f0d7da1ee4d · outbound

This paper cites Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.209174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a98b5cba-d3d6-4837-ae21-f26db240bdd9 · outbound

This paper cites A survey on hallucination in large language models: Principles, tax- onomy, challenges, and open questions, 2023.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models A survey on hallucination in large language models: Principles, tax- onomy, challenges, and open questions, 2023

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.213791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a1a174-2906-4f4a-b2cd-3f0cbdebfb76 · outbound

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

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Opera: Alleviating hallucination in multi- modal large language models via over-trust penalty and retrospection-allocation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.217815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82eb58ed-5e93-4258-8515-ba784113ba96 · outbound

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

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.222032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7fd3ad-4109-49ee-b26e-b7fa96daf1c8 · outbound

This paper cites Self-introspective decod- ing: Alleviating hallucinations for large vision-language models, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Self-introspective decod- ing: Alleviating hallucinations for large vision-language models, 2024

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.226060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c299754-9ff6-496d-a508-29f33f405fda · outbound

This paper cites Vcoder: Ver- satile vision encoders for multimodal large language mod- els.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Vcoder: Ver- satile vision encoders for multimodal large language mod- els

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.230742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fdff65-6464-410d-9327-c5c0eda4d477 · outbound

This paper cites Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.235289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e978140-a199-4266-9648-18384299a1a4 · outbound

This paper cites Code: Contrasting self-generated description to combat hallucination in large multi-modal models, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Code: Contrasting self-generated description to combat hallucination in large multi-modal models, 2024

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.239674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26f6229-b526-4e74-bb79-0b241042e41f · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncertainty estima- tion in natural language generation.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Semantic uncertainty: Linguistic invariances for uncertainty estima- tion in natural language generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.244293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fff3911c-50dd-4f63-bbf0-65af462c1cbc · outbound

This paper cites Multimodal Reasoning with Multimodal Knowledge Graph.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Multimodal Reasoning with Multimodal Knowledge Graph

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.248300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da6456eb-f0f9-440b-96b0-b3749d787f91 · outbound

This paper cites Deduplicating training data makes lan- guage models better.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Deduplicating training data makes lan- guage models better

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.252601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29699687-dcfe-4740-ab43-260d807ea59b · outbound

This paper cites VLind-Bench: Measuring Language Priors in Large Vision-Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models VLind-Bench: Measuring Language Priors in Large Vision-Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.257175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 356fc5a2-8b31-4897-95c4-dbafa67fd732 · outbound

This paper cites Factuality enhanced language models for open-ended text generation.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Factuality enhanced language models for open-ended text generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.261073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce5e6c9b-fa4a-4eff-8997-eb4b6555807a · outbound

This paper cites V olcano: Mitigating multimodal hallucination through self-feedback guided revision.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models V olcano: Mitigating multimodal hallucination through self-feedback guided revision

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.265329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99757d3-d411-4214-b1f5-39c5c75ad72d · outbound

This paper cites Mitigating object hallucinations in large vision-language models through vi- sual contrastive decoding.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Mitigating object hallucinations in large vision-language models through vi- sual contrastive decoding

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.269884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51653247-0ef4-498f-b592-72fdfb9fa654 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:15.019937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d129402b-1547-4745-9ae9-74fcd1e49f97 · outbound

This paper cites Inference-time intervention: Elic- iting truthful answers from a language model.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Inference-time intervention: Elic- iting truthful answers from a language model

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:15.004788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d82854eb-fe74-4059-9c07-f55be1bdfe6b · outbound

This paper cites Vlfeedback: A large-scale ai feedback dataset for large vision-language models alignment.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Vlfeedback: A large-scale ai feedback dataset for large vision-language models alignment

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.983714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 730f8504-67e2-46df-a853-499e640099c2 · outbound

This paper cites Contrastive decoding: Open-ended text gen- eration as optimization.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Contrastive decoding: Open-ended text gen- eration as optimization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.969655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fce6c817-bba6-4624-9bdf-aff0e9186dbe · outbound

This paper cites Evaluating object hallucination in large vision-language models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Evaluating object hallucination in large vision-language models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.955669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2d36e6af-79e8-4479-b9bb-6e1cdaf2e8cb · outbound

This paper cites Microsoft coco: Common objects in context.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Microsoft coco: Common objects in context

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.941324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3aa8117f-9d64-49a1-93a5-5b0e076505af · outbound

This paper cites Ash, Surbhi Goel, Akshay Krishna- murthy, and Cyril Zhang.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Ash, Surbhi Goel, Akshay Krishna- murthy, and Cyril Zhang

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.926654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbd092d7-74c6-4df5-946b-23092e40e971 · outbound

This paper cites Mitigating hallucination in large multi-modal models via robust instruction tuning.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Mitigating hallucination in large multi-modal models via robust instruction tuning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.304745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a7bf60-d02d-4d34-b3db-75790830f246 · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Improved baselines with visual instruction tuning, 2023

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.903430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e543e8e-a1dd-4829-bf48-a1f4de42631c · outbound

This paper cites Visual instruction tuning.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Visual instruction tuning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.889607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 059f555c-1fa3-489e-af3c-0382431e591c · outbound

This paper cites A survey on hallucination in large vision-language models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models A survey on hallucination in large vision-language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.876468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9aece20-561a-4ef2-b511-c5fa0086b4fe · outbound

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

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models A Survey on Hallucination in Large Vision-Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.322176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2416ca54-bd0d-4ed3-9b0c-db82703579c4 · outbound

This paper cites Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.327097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25d2dce8-07cc-458a-af5c-0045e9bbab99 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.331566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6172c66-9dd0-462c-bf95-143b1f6de185 · outbound

This paper cites Paying more at- tention to image: A training-free method for alleviating hal- lucination in lvlms, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Paying more at- tention to image: A training-free method for alleviating hal- lucination in lvlms, 2024

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.861777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8a8e54d-4570-497f-bc78-fd9f38ea7589 · outbound

This paper cites Kernel language entropy: Fine-grained uncer- tainty quantification for llms from semantic similarities.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Kernel language entropy: Fine-grained uncer- tainty quantification for llms from semantic similarities

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.848086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79e238a5-05c6-42a3-be08-929623f7f78e · outbound

This paper cites an unresolved cited work.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:14.833371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29685117-4a4e-4fab-a1ee-2e73133405b7 · outbound

This paper cites Training language models to follow instructions with hu- man feedback.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Training language models to follow instructions with hu- man feedback

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.819498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 35915078-bb5e-4023-b277-5a0ad7eb95ff · outbound

This paper cites Bender, Emily Denton, and Alex Hanna.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Bender, Emily Denton, and Alex Hanna

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.801988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c892f1b-5d37-4151-a367-e794c5a45e0e · outbound

This paper cites Distillation con- trastive decoding: Improving llms reasoning with con- trastive decoding and distillation, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Distillation con- trastive decoding: Improving llms reasoning with con- trastive decoding and distillation, 2024

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.780715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a8ad1a3-6d65-4fbd-afd1-402b74913b5e · outbound

This paper cites Nationality Bias in Text Generation.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Nationality Bias in Text Generation

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.363376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2010860e-cb9e-40c7-aa75-c81c3e3c126a · outbound

This paper cites Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.367454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac792a3-e42c-4abd-b19d-f2f451d67135 · outbound

This paper cites Look, compare, decide: Alleviating hallucination in large vision- language models via multi-view multi-path reasoning,.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Look, compare, decide: Alleviating hallucination in large vision- language models via multi-view multi-path reasoning,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.766949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7df8902e-c394-4505-bdfd-13430d98d264 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Learn- ing transferable visual models from natural language super- vision

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.754696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 71730b8c-716f-41cf-8641-3362c6ef5f98 · outbound

This paper cites The curious case of hallucinations in neural ma- chine translation.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models The curious case of hallucinations in neural ma- chine translation

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.741653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9311be88-8fba-4bea-90a5-a3600df8d4f7 · outbound

This paper cites VACoDe: Visual Augmented Contrastive Decoding.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models VACoDe: Visual Augmented Contrastive Decoding

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.389489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff49af95-9183-416b-955f-27eec21ac721 · outbound

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

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.393752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1fdcbd-0cb9-4683-bd37-2974c18ca225 · outbound

This paper cites A Survey on Multimodal Large Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models A Survey on Multimodal Large Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.397504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8148f63-b166-4e12-9a06-1d595249ab8a · outbound

This paper cites A comprehensive survey of hallucination in large language, image, video and audio foundation models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models A comprehensive survey of hallucination in large language, image, video and audio foundation models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.727350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65984bb8-f9ae-41ff-a4ad-af36c9b468f2 · outbound

This paper cites A-okvqa: A benchmark for visual question answering using world knowledge.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models A-okvqa: A benchmark for visual question answering using world knowledge

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.406812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29b3869-347d-46bb-a57d-53fab73bd7d6 · outbound

This paper cites Identifying untrustwor- thy samples: Data filtering for open-domain dialogues with bayesian optimization.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Identifying untrustwor- thy samples: Data filtering for open-domain dialogues with bayesian optimization

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.704442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 973f47b6-e87a-4e4e-bae7-c18ce0ba6b61 · outbound

This paper cites Trusting your evidence: Hallucinate less with context-aware decoding,.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Trusting your evidence: Hallucinate less with context-aware decoding,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.688943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f886d41-de93-4c48-a396-bb801fab01e9 · outbound

This paper cites Smith, Luke Zettlemoyer, Scott Yih, and Mike Lewis.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Smith, Luke Zettlemoyer, Scott Yih, and Mike Lewis

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.676078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ee926b0-5281-4737-89dc-7e3f34716795 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.424226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeaf63e2-6bba-405f-a273-796e784aab3f · outbound

This paper cites an unresolved cited work.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:51:14.662850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 53324393-c2e0-4bca-bd7b-fe12aebea6ff · outbound

This paper cites Llama: Open and efficient foundation language mod- els.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Llama: Open and efficient foundation language mod- els

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.649608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3280ff75-07b8-45c4-a8fb-a7fc5dfc4451 · outbound

This paper cites Analyzing multi-head self-attention: Spe- cialized heads do the heavy lifting, the rest can be pruned.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Analyzing multi-head self-attention: Spe- cialized heads do the heavy lifting, the rest can be pruned

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.635351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac472452-9128-4b33-8b51-17f800cef2f4 · outbound

This paper cites Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.442741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76724240-ce29-4a24-92b5-8e10bd04667c · outbound

This paper cites Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Surgical-LVLM: Learning to Adapt Large Vision-Language Model for Grounded Visual Question Answering in Robotic Surgery

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.447212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7aaa10e-3905-460d-b2c4-bc411fb9a65a · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.452087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a23ff717-ec6a-4156-8c60-436aebeba4b6 · outbound

This paper cites Mitigating hallucinations in large vision-language models with instruction contrastive decoding, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Mitigating hallucinations in large vision-language models with instruction contrastive decoding, 2024

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.616304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89e1ad5e-8bfc-47c1-ae0b-7f6344760855 · outbound

This paper cites RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.462151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a520ce0a-feb5-4173-9b9b-f58ec09a8abd · outbound

This paper cites Don’t miss the forest for the trees: At- tentional vision calibration for large vision language mod- els, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Don’t miss the forest for the trees: At- tentional vision calibration for large vision language mod- els, 2024

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.599709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b17bfe6-fb16-4ce6-b632-f648d940d13f · outbound

This paper cites Logical closed loop: Uncov- ering object hallucinations in large vision-language models,.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Logical closed loop: Uncov- ering object hallucinations in large vision-language models,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.584437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff7c3020-d9dc-4083-a7c0-10a40b24e285 · outbound

This paper cites NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.483866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94ba22db-8002-4e3f-88fe-8735845fb8bc · outbound

This paper cites Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.478587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2618aa7-e75a-4c7a-a192-ad767377884e · outbound

This paper cites Re-Reading Improves Reasoning in Large Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Re-Reading Improves Reasoning in Large Language Models

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.492928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3eabaa6-eec2-4e7a-a8d7-026eab39b2ff · outbound

This paper cites Seeing the image: Prioritizing visual correlation by contrastive alignment, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Seeing the image: Prioritizing visual correlation by contrastive alignment, 2024

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.571567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 926e55d5-9c98-4f4a-81e5-5ca6df704205 · outbound

This paper cites Entity Cloze By Date: What LMs Know About Unseen Entities.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Entity Cloze By Date: What LMs Know About Unseen Entities

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.501992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aba9877-8703-4f4a-afd7-929e0c615513 · outbound

This paper cites xgen-mm (blip-3): A family of open large mul- timodal models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models xgen-mm (blip-3): A family of open large mul- timodal models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.497725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a481bb95-73c7-4f73-b99b-1b671464df3d · outbound

This paper cites Llm4drive: A survey of large language models for au- tonomous driving.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Llm4drive: A survey of large language models for au- tonomous driving

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.557944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 500dcdf5-6225-47fc-99ca-71bca75984db · outbound

This paper cites ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.506254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343ba93f-d988-4f89-bf9f-759a020f88ed · outbound

This paper cites Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.518161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f467d83c-f1d9-4d72-91db-d3a8c5204a94 · outbound

This paper cites Woodpecker: Hallucination correction for multimodal large language models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Woodpecker: Hallucination correction for multimodal large language models

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.542067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e5e23fe-2683-461c-937c-cdae018021c7 · outbound

This paper cites Less is more: Mit- igating multimodal hallucination from an eos decision per- spective, 2024.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Less is more: Mit- igating multimodal hallucination from an eos decision per- spective, 2024

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.501842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4350ba55-5dbd-4924-aad3-ddbe9e51c2b7 · outbound

This paper cites Rlhf-v: Towards trustwor- thy mllms via behavior alignment from fine-grained correc- tional human feedback.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Rlhf-v: Towards trustwor- thy mllms via behavior alignment from fine-grained correc- tional human feedback

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:51:14.518279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24162259-5cb0-468e-80cc-7741ae1daaf4 · outbound

This paper cites Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-12T14:51:13.537132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d207a248-f7cd-4ed0-b283-c923232f563f · inbound

Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering cites this paper.

Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:31:48.129034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad860591-dd20-4f99-9944-9c9f1db318f6 · inbound

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations cites this paper.

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:28.344201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8db010ab-6002-4ace-9595-504c9bfb64a9 · inbound

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention cites this paper.

CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:38.778028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472e75fd-80c5-4a34-abf7-c13dfc1fc7ab · inbound

GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs cites this paper.

GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:08.585297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d4b064-def8-4da0-89ec-19ecbafe052f · inbound

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens cites this paper.

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T05:04:21.748100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d0bec9-0f49-4ce3-97e1-6ebb9e4e42ef · inbound

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability cites this paper.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:26.157643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e70b1380-311e-4d2d-bfc7-743dc351d180 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models

Reference 275

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:54:45.848250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.