Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T08:15:51.494437Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation f10a1178-ef77-4fd6-ad54-37a8a2eac59f · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfdbdebe-fb74-413d-b857-1f70215a14e2 · inbound
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
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.
Observation ed057bbe-e274-4e92-bef8-37aa46ab4330 · inbound
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
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.
Observation cdc64231-7b91-4916-9a7c-d41367bec60b · inbound
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
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.
Observation 53eeca0a-9547-4e63-ae04-306198b310aa · inbound
Tunable Polariton Canalization in Natural van der Waals Oxide AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6feb9074-2ca1-43a3-8b4d-b8e7545fff10 · inbound
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
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.
Observation 5a0f223d-562b-4e09-992a-f7a1e2e95289 · inbound
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
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.
Observation 5911451f-e2b2-4e76-a183-440db95061fb · inbound
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
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.
Observation 6995fd78-dc0f-402e-81e9-096123fe0577 · inbound
COMPASS: Grounding Composition-Intent Guidance in Unified Multimodal Models AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
Reference 19
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.
Observation 26e410f7-60e1-471d-842c-afb17610e2fc · inbound
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
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.
Observation 4a3dba16-dc5a-40bd-9e15-6ff73d6c2ab9 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 192a3b2a-fcb1-41e3-ab21-d4c82faa3394 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.