Paper Citation Record · LEDGER

Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.00555.

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

pith.paper-citation-record.v1
2408.00555 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:54:16.035119Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f907e392-fff6-4136-813d-212418d7734b · inbound

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

Hallucination of Multimodal Large Language Models: A Survey Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

Reference 137

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:33:32.917206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19c69085-513f-47e0-9035-33bc8a69694c · inbound

UniCoRN: Unified Commented Retrieval Network with LMMs cites this paper.

UniCoRN: Unified Commented Retrieval Network with LMMs Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-08T05:54:16.035119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f765f54-6aef-4994-89ab-a45e1ea5a0dd · inbound

See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs cites this paper.

See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T12:12:23.654603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb157cb8-2692-431f-8a0a-67c212cb6256 · inbound

Augmented Vision-Language Models: A Systematic Review cites this paper.

Augmented Vision-Language Models: A Systematic Review Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T14:33:39.558793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d3ec62e-f20a-4c30-a468-cf8dddb3e6d2 · 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 Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

Reference 261

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:54:45.564168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5a506aa-b7a4-437b-aff7-b49aafbd777e · inbound

When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs cites this paper.

When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:05.268852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.