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Paper Citation Record · LEDGER

ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.07490.

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

pith.paper-citation-record.v1
2305.07490 v6

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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:26:38.451113Z

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

2
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 06032024-28f9-4005-9370-07aed85f912b · inbound

Multimodal LLMs Can Reason about Aesthetics in Zero-Shot cites this paper.

Multimodal LLMs Can Reason about Aesthetics in Zero-Shot ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-10T20:16:09.730620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:16:09.730620Z digest=sha256:2182573a5dd0bf105322108262f06998c8a14f4450321c839aa0988ca24623d7

Observation 5cc8578f-30bb-4c35-bef8-96b035d57021 · inbound

Assessing LLMs in Art Contexts: Critique Generation and Theory of Mind Evaluation cites this paper.

Assessing LLMs in Art Contexts: Critique Generation and Theory of Mind Evaluation ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T12:26:38.451113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:26:38.451113Z digest=sha256:5149ffb8176296c7ee22750e25a09c7a9bc600be70bc5caba16cbf63469e99a1

Observation 82ddbe2f-079b-4080-8e8e-f674a9773db3 · inbound

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval cites this paper.

ArtSeek: Deep artwork understanding via multimodal in-context reasoning and late interaction retrieval ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T12:21:15.393243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:21:15.393243Z digest=sha256:0047df62c20e5c11381f281546db9ee562e75ead41211379a8f3a4dab11cf540

Observation e0310a4a-553a-4efc-9fc6-e35934b90c54 · inbound

MIRAGE: A Micro-Interaction Relational Architecture for Grounded Exploration in Multi-Figure Artworks cites this paper.

MIRAGE: A Micro-Interaction Relational Architecture for Grounded Exploration in Multi-Figure Artworks ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:14:22.869852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T06:32:57.198044Z digest=sha256:5375f33c26a7d14e270464aac29e6f2d318d5847f35eeb7bbb57efa2ad01eef4