Paper Citation Record · LEDGER

PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2501.12206.

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

pith.paper-citation-record.v1
2501.12206 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:44:54.981867Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:01.801514Z

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 eff686ce-38f4-432d-871b-66cc90968a7d · 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 PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T21:44:54.981867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ad7066-1187-4b0e-98f2-ea60b2651ddd · inbound

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings cites this paper.

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T23:35:18.882276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 992b2855-7ec2-4c27-94d7-51fccf0ab630 · 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 PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:50:40.327897Z

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.

Observation 5a8682e6-8c52-484c-a40a-7d4c8aa504b5 · inbound

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning cites this paper.

Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:34:01.803714Z

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.