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Paper Citation Record · LEDGER

Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.07772.

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

pith.paper-citation-record.v1
2503.07772 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:48.503042Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

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 dc3c5d78-0325-4018-8823-995b1b02aabb · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:33.586704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:d23a600b26356514b14094e18e73ee7a21d422c78a41e8702ed88ce7bb0d4bb6

Observation 6d9ceea7-434a-4dab-ac73-5838e9779dfe · inbound

Backdoor Cleaning without External Guidance in MLLM Fine-tuning cites this paper.

Backdoor Cleaning without External Guidance in MLLM Fine-tuning Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:48.503042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:48.503042Z digest=sha256:cb99444f7363d696bf24ec8589636d92c179f0600f3d3c79489515d8604c2cb2

Observation c37d8890-93d1-486b-aa19-ac68caf21341 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:14.788695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:14.788695Z digest=sha256:6ec028d67aab4db239ffb39dfb6809bd0112ee1b5618f099bb6342ca476864af

Observation db46fd28-dbca-4143-bad8-c6b2d78089e3 · inbound

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

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 194

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:02.619396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:02.619396Z digest=sha256:d625bd5266921a096c384adefefc72cc6f0c9ccddc6dad3e12ab313cdbfd1a73

Observation 1c217363-4ec6-4e66-add4-2942b437d54a · inbound

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

Mitigating Multimodal Hallucination via Phase-wise Self-reward Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:38:43.295173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:10:45.144421Z digest=sha256:6fbb31ed31744c7c239435faad86aa8b8939f4e4820b4e2deb093a08fa74ecb3

Observation a703479d-e038-42e3-b3bd-f59f22446ef6 · 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 Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 220

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:54:45.607016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:24d89cba7ae7ee58166581423c72b87ca96dd3e69f3b240d5047d79f5416750f

Observation b1decf2b-8255-4035-b0c5-8dbc7b0af250 · inbound

Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding cites this paper.

Dismantling Pathological Shortcuts: A Causal Framework for Faithful LVLM Decoding Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:06:02.513320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T01:18:13.657975Z digest=sha256:5bef12769837b245a468d2d20fb5aeb5d6ccb59848e81abeca267863032bfada

Observation 4eaef454-e64d-4848-b478-eb1ab57e35ef · 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 Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs

Reference 3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:15:25.010442Z digest=sha256:4dc564f47364a78b93f43b8572d0c7cd957286063a83fb5e7337be3c90b2d078