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Paper Citation Record · LEDGER

AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.08276.

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

pith.paper-citation-record.v1
2401.08276 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:15:51.494437Z

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

6
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 f10a1178-ef77-4fd6-ad54-37a8a2eac59f · inbound

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models cites this paper.

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T08:15:51.494437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:15:51.494437Z digest=sha256:b542cac4f73e569920b9579db37a99eaaf388c9061a081912f6c7810adee138c

Observation dfdbdebe-fb74-413d-b857-1f70215a14e2 · inbound

Stable diffusion models reveal a persisting human and AI gap in visual creativity cites this paper.

Stable diffusion models reveal a persisting human and AI gap in visual creativity AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:15:10.453972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T20:13:33.577367Z digest=sha256:3180f99458332cb76c3a15ff131acd56ee976acda1c68cb010f7cce02221f759

Observation ed057bbe-e274-4e92-bef8-37aa46ab4330 · inbound

The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor cites this paper.

The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:07:58.830600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T14:03:00.513248Z digest=sha256:3a94dd8b8ab480cc669299532376b8ae6ab17a05c3d074bfbbb37e795d23f543

Observation cdc64231-7b91-4916-9a7c-d41367bec60b · inbound

What Do Vision-Language Models Encode for Personalized Image Aesthetics Assessment? cites this paper.

What Do Vision-Language Models Encode for Personalized Image Aesthetics Assessment? AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:16:03.367700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T16:07:39.486278Z digest=sha256:9e1b683a440fc2be8e1d4cb593529150fbb4ee1d51e0c687b2ae174fb2bbe6d5

Observation 53eeca0a-9547-4e63-ae04-306198b310aa · inbound

Tunable Polariton Canalization in Natural van der Waals Oxide cites this paper.

Tunable Polariton Canalization in Natural van der Waals Oxide AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T21:31:36.368963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:31:36.368963Z digest=sha256:8ac796e21ba67fe0c42e478d5a63eee4b522518128c96c0f5d423b44d128927c

Observation 6feb9074-2ca1-43a3-8b4d-b8e7545fff10 · inbound

Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment cites this paper.

Redefining Quality Criteria and Distance-Aware Score Modeling for Image Editing Assessment AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:36:04.775235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:24:57.306003Z digest=sha256:90ab682d9fe4726b42d030c58219acd77978c49ccfb6bde9c4a036d2275923d2

Observation 5a0f223d-562b-4e09-992a-f7a1e2e95289 · inbound

MultiEmo-Bench: Multi-label Visual Emotion Analysis for Multi-modal Large Language Models cites this paper.

MultiEmo-Bench: Multi-label Visual Emotion Analysis for Multi-modal Large Language Models AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:49:48.010048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T05:46:58.056363Z digest=sha256:fdf41d5889ef333861dd717f3bc0111a4610f8f537db6aa2765e672806f87f25

Observation 5911451f-e2b2-4e76-a183-440db95061fb · inbound

PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models cites this paper.

PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Models AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.345739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T02:10:12.974244Z digest=sha256:b0ce2c92b7ef2dd922cb876226f5d85485f61060ad744f91ec0832328a2c6ba8

Observation 6995fd78-dc0f-402e-81e9-096123fe0577 · inbound

COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models cites this paper.

COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T10:14:36.379574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T10:10:59.772213Z digest=sha256:3bf952d6183662d5a765adc1c8c12a6688ceaae793ae2827241262df088091b3

Observation 26e410f7-60e1-471d-842c-afb17610e2fc · inbound

Can MLLMs Critique Like Humans? Evaluating Open-Ended Aesthetic Reasoning in Multimodal Large Language Models cites this paper.

Can MLLMs Critique Like Humans? Evaluating Open-Ended Aesthetic Reasoning in Multimodal Large Language Models AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:54:20.894790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T06:46:55.320579Z digest=sha256:6c799475d1d17369cd8b7a57b9f20f8eb6d0ed0bbadb840d3a99c9a29d95235a

Observation 4a3dba16-dc5a-40bd-9e15-6ff73d6c2ab9 · inbound

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging cites this paper.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T22:28:23.644746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:28:23.644746Z digest=sha256:f635230a8778f4a1c96a362675b8384c3607df37d1c7275d169d42f8d5d5024e

Observation 192a3b2a-fcb1-41e3-ab21-d4c82faa3394 · inbound

What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs cites this paper.

What Transfers from Text to Vision? Capability Scaling Laws and Transfer Dynamics for VLMs AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T02:46:49.750743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T02:46:49.750743Z digest=sha256:30e937bde626b31873ecb4e50697f65438f7407a25134d4e3bdfddf2f2542d10