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Paper Citation Record · LEDGER

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.11622.

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

pith.paper-citation-record.v1
2402.11622 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:27.741065Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:14:41.035773Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ed8c68a1-379c-4be1-923a-00a05f4cba62 · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.168647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:0b323c2450a59ecaad7ab93ade5ecd243326a69589ee0ab5991a789f84a58343

Observation 781dcc68-97e9-48c0-a037-4d2e467f9977 · inbound

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding cites this paper.

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:27.741065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:27.741065Z digest=sha256:03d5ea5a7a737f7a8d6d7055021de34f46e9562cf0aa8786b2844de09ac82272

Observation ede795c9-048d-40ed-b18a-c06e86ddd231 · inbound

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding cites this paper.

Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:00.324864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:00.324864Z digest=sha256:7190c9255b26bee3ac757d15f24b4b1df7de32509e423423f02655083d527d5c

Observation 113b31ca-8fcf-4f13-af46-a0a15659ff77 · 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 Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T05:04:25.735537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:04:25.735537Z digest=sha256:33b72973c280aed44cb66870680465850f72507cb62226a782cd05c5ccfaca81

Observation 8ab70447-fb16-44c2-a235-c2979d9db021 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 193

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:02.466740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:02.466740Z digest=sha256:eca34652b6ed970e14c4fb1dc694eb8f00f7d4fed199fd9229c48fa5461c0e54

Observation 47ef1170-bb62-4471-a8a6-582df0ec4586 · inbound

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination cites this paper.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-05T13:22:21.145228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:22:21.145228Z digest=sha256:b52be22abfd79a0841b028050897a151e35f330f311d3b0d08c08e7843e9bea8

Observation ecfc60da-1601-4c76-83e0-a6f345f3539a · 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 Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:26:33.836951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T15:23:13.318310Z digest=sha256:96671dc59f7a7c26b83ae093fa690263717c3fa49a42e7aae5bf676aa6cbfc18

Observation 2a565552-b69b-47ea-86cd-eaa58603c19f · 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 Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:30:39.463263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T21:28:59.898029Z digest=sha256:f1d3a4549a35f48075d5216561fc9ca2368dcbb99163f6f5baf72b2d2082e600

Observation 28187585-8fb5-4b56-adb9-759bc7406e2c · inbound

Visual Reasoning Agent: Robust Vision Systems in Remote Sensing via Inference-Time Scaling cites this paper.

Visual Reasoning Agent: Robust Vision Systems in Remote Sensing via Inference-Time Scaling Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:21:32.829480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T15:19:59.478032Z digest=sha256:ab8a089d2c4c2a0a7740e3187e8b0de6abf8ad32667db626de1844c2d24e21f3

Observation 5f5c26db-38c2-48ac-bb71-6b0571aa7c88 · inbound

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory cites this paper.

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:14:41.037403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T13:06:29.565195Z digest=sha256:e9659e24456b12bc8d05791197cca0623b3a266787b111027315ef2c87c53fd0

Observation 42826314-0abb-41c7-b2a3-bb4f1dddc496 · inbound

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory cites this paper.

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-12T16:06:30.682427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:06:30.682427Z digest=sha256:7006d36cd6aff7165e45932de81ab1144b80bbc50f1c3fd48bbcbb53631a2596

Observation fb901fb2-4814-4da2-923f-3f657709916f · inbound

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory cites this paper.

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-15T11:04:59.754115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:04:59.754115Z digest=sha256:48b21bc182af82b012ea0af13bf580ecad0b46efc3f0410ebcc0291179f84078

Observation e1fbe420-9d8e-480a-bf00-493b5579cae5 · inbound

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory cites this paper.

Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T13:18:57.528882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:18:57.528882Z digest=sha256:b646c252abfe6a916870bfe398e3fa3456dcbd77ebf45ccbe13e0ee569a038bd

Observation 16eb6a8d-8f59-429b-b403-5d0db347f6ca · inbound

DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models cites this paper.

DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language Models Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-07-31T23:32:10.267986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:32:10.267986Z digest=sha256:d491fa3ac2655b2b243fa66f44ce4ead366cc6ba06a565c0a2a9fe6b15d6e21d