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Paper Citation Record · LEDGER

HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.15680.

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

pith.paper-citation-record.v1
2407.15680 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:41:00.398895Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:58:12.068638Z

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 b94e8b8e-9fb3-46ef-8533-0717e39eea54 · inbound

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs cites this paper.

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:58:12.071712Z

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=2026-05-23T16:57:12.821916Z digest=sha256:9a8b6c9f925edd4f3efcfcf0ff83dc62e0571d7f880eeb04880046c37ea02dea

Observation a6ce1d0e-33e8-4244-97ba-91b9add0c013 · 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 HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:00.398895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:00.398895Z digest=sha256:dd28d5c2f858b24cbcf05a056b7b7ce0d317b363c741c739cf88c77f961b0fa3