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Paper Citation Record · LEDGER

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.09589.

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

pith.paper-citation-record.v1
2405.09589 v4

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 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:26.014029Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:22:46.576840Z

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 7ca79a28-e8a6-47d5-b3a5-4c9c3aac7978 · inbound

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation cites this paper.

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:26.014029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:42:26.014029Z digest=sha256:94a5888df82a2866a1b8242286e966cc7fe721dc0853ba26e2d4b9a21ab05897

Observation 2e4617c3-7299-4941-ac55-bdcdb220bfe5 · inbound

Infogen: Generating Complex Statistical Infographics from Documents cites this paper.

Infogen: Generating Complex Statistical Infographics from Documents A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:31.438048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:31.438048Z digest=sha256:ba965b4a9114372f88f2c0c5dd5bef97d678f4da06f28737795124ae75463fba

Observation af27ab92-2087-409c-835b-7e2bfa9a0212 · inbound

Locus: Agentic Predicate Synthesis for Directed Fuzzing cites this paper.

Locus: Agentic Predicate Synthesis for Directed Fuzzing A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-05T14:29:47.071590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:29:47.071590Z digest=sha256:563e19b70ced06e6841daee608333038ed746206a386e174d3f421c57575bab9

Observation cd7a7a2f-5127-4713-9ec0-14b0dc18d603 · inbound

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models cites this paper.

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-04T20:32:56.800975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:32:56.800975Z digest=sha256:b1a524bbd11d11686992cf01d3833653f1ed5502b9ffddbaf37fb01d165224f2

Observation e5868f76-eb83-432f-91c3-80b0262c6ed5 · inbound

CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing cites this paper.

CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:44:17.178947Z

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.

source=pdf_text observed=2026-05-21T17:40:36.730192Z digest=sha256:9d88974d4708f43a6094cbdd53a5a1959552ec41c60f110e5513b4a3a8a2b422

Observation 95b5d3f5-b54b-45dc-b9cb-6a3adfb342a9 · inbound

What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness cites this paper.

What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:22:46.578427Z

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.

source=pdf_text observed=2026-06-28T23:21:50.254449Z digest=sha256:a21da0460835f10f736cb5a117d80b9c932d6d4800057ad5ce20dbd9ddd5b01b

Observation 5ed5cc64-2189-4462-9e90-c7472642e5d0 · inbound

Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning cites this paper.

Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T11:36:49.145765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T11:36:49.145765Z digest=sha256:ab167bcd6627274c21239c5f2c24af4e0ae3243572956b1c1a0ee025eb09b82e