Paper Citation Record · LEDGER

The ArtBench Dataset: Benchmarking Generative Models with Artworks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2206.11404.

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

pith.paper-citation-record.v1
2206.11404 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:13.952374Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.049102Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 17cb3cfd-1c58-450c-bbb6-a7b54733e9e3 · inbound

Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification cites this paper.

Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:33:50.886732Z

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 caf117cc-bb0f-4d4a-bac7-1f376c9c39c2 · inbound

OmniStyle: Filtering High Quality Style Transfer Data at Scale cites this paper.

OmniStyle: Filtering High Quality Style Transfer Data at Scale The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:13.952374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e66832-04ca-4e18-b4e5-a273cdad973d · inbound

StyleSentinel: Reliable Artistic Copyright Verification via Stylistic Fingerprints cites this paper.

StyleSentinel: Reliable Artistic Copyright Verification via Stylistic Fingerprints The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:45:15.746294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afcfd81-55a4-470c-9d3f-4ddc01647bcd · inbound

Insert In Style: A Zero-Shot Generative Framework for Harmonious Cross-Domain Object Composition cites this paper.

Insert In Style: A Zero-Shot Generative Framework for Harmonious Cross-Domain Object Composition The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:20:17.105678Z

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 68f9d6b2-7240-4a86-86e7-93ec57f04b27 · inbound

HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning cites this paper.

HyCal: A Training-Free Prototype Calibration Method for Cross-Discipline Few-Shot Class-Incremental Learning The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:31.477546Z

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 c1431f47-f511-4470-b273-75cd7d9be6e3 · inbound

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge cites this paper.

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:30:19.418662Z

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 5d73f2cb-b749-4a47-896e-a051f78102a1 · inbound

Stylistic Attribute Control in Latent Diffusion Models cites this paper.

Stylistic Attribute Control in Latent Diffusion Models The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 122

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:15:38.044033Z

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 aab11383-8457-4a01-bac1-0a6ac628b0ea · inbound

When Style Similarity Scores Fail: Diagnosing Raw CSD Cosine in Artist-Style Evaluation cites this paper.

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T17:15:39.501492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa8af1b1-f41a-4048-8575-b40bb349b8ce · inbound

Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew cites this paper.

Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:23:18.480048Z

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 03280e39-15fb-4d28-802a-4bd57d627a79 · inbound

Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing cites this paper.

Chameleon: Style-Content Disentangled Framework for Cross-Domain Object Compositing The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:02:27.405431Z

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 e13ce53a-d747-4a18-9c1f-69880fff6f79 · inbound

Training-free Task Classification for Multi-Task Model Merging cites this paper.

Training-free Task Classification for Multi-Task Model Merging The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:59:42.219737Z

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 6cdcf6dc-8f7a-4a5b-9a95-9c5669ada7a0 · inbound

Learning to Recover Task Experts from a Multi-Task Merged Model cites this paper.

Learning to Recover Task Experts from a Multi-Task Merged Model The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:51.051055Z

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 80c0ecb9-00a1-43f9-927f-81e241b83860 · inbound

FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding cites this paper.

FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T13:05:30.313133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc999485-d3b2-457a-8d18-12d1b96c618d · inbound

DODA: A Database of Datasets for Aesthetics Research cites this paper.

DODA: A Database of Datasets for Aesthetics Research The ArtBench Dataset: Benchmarking Generative Models with Artworks

Reference 508

Resolution: unresolved; no resolver link, observed 2026-08-04T01:22:46.317920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.