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Paper Citation Record · LEDGER

Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2402.08680.

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

pith.paper-citation-record.v1
2402.08680 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:23:24.313664Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 63c27c1d-e28b-4010-a470-52cbd3c06e8d · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 217

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.412933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:4b8414fc6d6acc7447410036705289a64bf6a64ee181685ce2a04217cd6fcd49

Observation c33bcc55-f5ff-45b5-b42d-5d60612732c4 · inbound

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding cites this paper.

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-12T13:54:22.824865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:54:22.824865Z digest=sha256:182941b242493dd6c0d7d488d8e72ee24a7705026f179c433f12c911e6bb976f

Observation e1f83bc1-1bde-46f8-a754-233d9f2cc601 · inbound

Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens cites this paper.

Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T14:23:24.313664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:23:24.313664Z digest=sha256:4c6b32cf17fa3aa56d7c21d3a95d431689b4a53074c3a9bb2e45657ae20fde51

Observation 55c2b4ba-d51b-41a1-80e6-dc9025e27e65 · inbound

Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis cites this paper.

Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T23:01:32.360373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:01:32.360373Z digest=sha256:f769d6afe1bdf1ec8427fe1950b37843fb7000ccbb305caa2465bbb99605a707

Observation 0d62925a-d421-47ca-94d9-fdd50e15561d · inbound

Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild cites this paper.

Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:30.574674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:06:30.574674Z digest=sha256:c7521a9fd745bb41d90dca2da1e2312e432e355c21ec72ff9cb4a2186b8f532b

Observation 26c07d63-eb7f-4cfe-b766-28ba79cd7a93 · inbound

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs cites this paper.

PostAlign: Multimodal Grounding as a Corrective Lens for MLLMs Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:27:19.313207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:27:19.313207Z digest=sha256:1a37704f8c6bdd068eeb54f135c7d2b6baa0e456dcd0e6a53b3f062ab96f5f19

Observation 173273e0-7335-4ff1-86b7-31e0a6bd7eaf · inbound

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T21:44:58.960339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:44:58.960339Z digest=sha256:9b833f7f0f459adda918a2083833210ac62a02b0833181a2256246a1a26502e9

Observation 9a6e7ddc-b304-4ad9-ba1e-0ff10c7e9035 · inbound

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

Controlling Multimodal LLMs via Reward-guided Decoding Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T19:52:50.376122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:52:50.376122Z digest=sha256:e277a63f88b85f06c1e75cfd80f9c8b8d5af94070b17a833e5f38a00ef4904f8

Observation adfa57dc-5851-4dd4-816e-15dc83123ccd · inbound

EraseLoRA: MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal cites this paper.

EraseLoRA: MLLM-Driven Foreground Exclusion and Background Subtype Aggregation for Dataset-Free Object Removal Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T14:08:24.198843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T14:08:24.198843Z digest=sha256:b45a7fb53851bc79d698002797602799f687515c3e01bb54f679b162f3651674

Observation 22b90dd8-c7b3-4b41-8b88-baa44a271fcb · inbound

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models cites this paper.

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:04.205621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T15:13:49.239474Z digest=sha256:045f90e42cb2181d085911f56937d5bcda3aeb8b072aefc250b15505ad20f208

Observation 1643f244-21db-4430-bc29-b47fc8a929fc · 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 Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 293

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:45.570429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:413147227687fc06c9530cbca7bf7bf9da4982cfab0ad970d7e671d1b143b2c4

Observation abee00ed-80ac-42ee-9ff5-2f46fe982bda · inbound

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering cites this paper.

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:50:40.227994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-08T18:05:38.705480Z digest=sha256:674af1ffd55dcdcc23a8b2a5ce12472d9553cb82e3378d7126ac67813a56baaf

Observation 0a07e083-12f8-4e69-a26f-d36df1a5788b · 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 Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:51:09.400970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T17:00:36.574362Z digest=sha256:51a660b4c647fef5fdb0d3a9d4d3d46ba9cd8bd7e39f3c277885181a4b86f8e9

Observation 0515d51c-440a-42c4-9d4d-646fd5a981a3 · 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 Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:16:24.225433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T05:15:34.156717Z digest=sha256:744b61b8c5dd57e9ca07c45803932baf72a531639e7b934f44801df8ec8fd6a5

Observation f3dec13b-4127-4b73-98f8-f5d1c026c9fc · inbound

Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium cites this paper.

Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:56:25.183732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T04:48:21.798287Z digest=sha256:70db10d64447dd13054ee1b73f03dc4927a47b96c43bb98a7c2d88a08b0627b4

Observation 886c82d5-ed3e-40d1-a41d-77bce4077c9d · inbound

Deep Pre-Alignment for VLMs cites this paper.

Deep Pre-Alignment for VLMs Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:27:39.268554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-19T16:26:41.094936Z digest=sha256:b519debb6552968b437b5419e884a9a4cbc20644f1434816bc893321bc9f34cf

Observation a45842d1-9e30-40e6-9939-06d06a651d69 · inbound

Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration cites this paper.

Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:44:38.761873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T11:35:59.397767Z digest=sha256:c6def0118dd0f8cd9fbdd09b2e65bef6ba4f9c20e0d8f724c63a1ee46c389072

Observation 60e86605-37fd-490d-a951-9a0b833000f7 · inbound

What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness cites this paper.

What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:22:46.597361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T23:21:50.254449Z digest=sha256:9ed0c1ca917e6810b89b718abbf95b118b95e3578f8da5ea9c7a2c98c3162b78