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Paper Citation Record · LEDGER

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.10900.

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

pith.paper-citation-record.v1
2406.10900 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:58.968730Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:56.619359Z

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 ad7278ce-b8e9-4fc0-b928-a74fcfd77ee9 · inbound

Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model cites this paper.

Preemptive Hallucination Reduction: An Input-Level Approach for Multimodal Language Model AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:58.968730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:58.968730Z digest=sha256:253fa54a1e3a3f6dc6127f768141ca1d07b00b3027176b87e29f79e475fb928d

Observation 85533a89-f4f5-42e4-a519-bbd9dd3cbd31 · inbound

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models cites this paper.

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:34:36.773583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:34:36.773583Z digest=sha256:9dcaa9359bb6c6c50f9a3f75d309de43616d74794297a37db0ad650513e26f55

Observation cdc4c725-886e-4113-8257-8d1651bade11 · inbound

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images cites this paper.

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:35.049938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:35.049938Z digest=sha256:a1f5dee06502d96e52f21e89d970b80af86677106da3b9fac6c33771b6f72366

Observation ba96c738-9179-45e6-aab5-624306115f80 · inbound

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

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T20:28:47.015807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:28:47.015807Z digest=sha256:48c5eb12e81aee8bf7bb1094d0fbc89e4c267d0f7c030cc8d6e52cc383b9a4dc

Observation 16292844-c8d1-4df3-93e7-67e2dac2207d · inbound

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models cites this paper.

MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:59:08.733182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T05:55:11.495430Z digest=sha256:3f5d0206c40f18deef1f9468080f1776c5f8c27075b3d30853f72543a87a226f

Observation 208f81bc-7599-420f-8677-ebc2ff9c4668 · inbound

MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias cites this paper.

MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:18:56.621305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T01:28:50.021432Z digest=sha256:11298188c42af5e389a89df964b40c221e1fad5bdbc74558b3751260f2a0e6cb

Observation 356c9562-2eb2-4a97-b227-1ce8c6c25b70 · inbound

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs cites this paper.

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:25:41.403835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T05:35:08.200219Z digest=sha256:5d450576d71713fccd47b570f54ae42268695ecabc901a0910b96e16504f1b19