Paper Citation Record · LEDGER

Explaining Automatic Image Assessment

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2502.01873.

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

pith.paper-citation-record.v1
2502.01873 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:15:08.135493Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:15:08.017497Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T14:15:08.353215Z

Reference resolution

28 of 28 outbound references displayed

verified exact3
verified fuzzy17
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78fac8ce-658f-40a4-b60f-910bd0632d30 · outbound

This paper cites modalities.

Explaining Automatic Image Assessment modalities

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.584686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 532242e8-aea2-4234-be69-518c45f4ebb8 · outbound

This paper cites Older methods that use saliency and rule of thirds based techniques [4] used limited datasets and were implemented using algorithms.

Explaining Automatic Image Assessment Older methods that use saliency and rule of thirds based techniques [4] used limited datasets and were implemented using algorithms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.572695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 671cbc7b-fdc1-460e-92d0-10a4de89060b · outbound

This paper cites modalities.

Explaining Automatic Image Assessment modalities

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.560015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4abc630f-b48e-454f-91e0-af59faf1a58b · outbound

This paper cites Datasets The dataset we chose to apply our methods to is the most widely used image aesthetics dataset; A V A or Aesthetic Vi- sual Analysis [6].

Explaining Automatic Image Assessment Datasets The dataset we chose to apply our methods to is the most widely used image aesthetics dataset; A V A or Aesthetic Vi- sual Analysis [6]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.548186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d23d526-a407-45bd-b1a7-95ea1870cf0f · outbound

This paper cites It was surpris- ing to find such significant similarities between the different modalities in preference.

Explaining Automatic Image Assessment It was surpris- ing to find such significant similarities between the different modalities in preference

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.510102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c437b797-5d9c-48ad-89cd-99af505cdc8a · outbound

This paper cites This would allow us to explore in greater depth the differences in modalities if they are present.

Explaining Automatic Image Assessment This would allow us to explore in greater depth the differences in modalities if they are present

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.496897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d036adef-ee7c-431c-b903-9a5d06f98c87 · outbound

This paper cites Baseline.

Explaining Automatic Image Assessment Baseline

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.522751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 73ac7bcb-4494-43bb-9543-f8553ef63609 · outbound

This paper cites Attention- based multi-patch aggregation for image aesthetic as- sessment,.

Explaining Automatic Image Assessment Attention- based multi-patch aggregation for image aesthetic as- sessment,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.405803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 503d5166-d712-4eae-8bd2-d6b04bbe8358 · outbound

This paper cites Explaining Automatic Image Assessment.

Explaining Automatic Image Assessment Explaining Automatic Image Assessment

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T14:15:08.358786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d71f0add-6486-4e94-8f98-fa66510ee5ff · outbound

This paper cites We show im- provements in correlation scores over NIMA using hyper- parameter controlled loss terms, and apply this method to generated modalities of the source dataset.

Explaining Automatic Image Assessment We show im- provements in correlation scores over NIMA using hyper- parameter controlled loss terms, and apply this method to generated modalities of the source dataset

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.484453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9694cc24-23b4-47b8-9fca-409eeb6edeae · outbound

This paper cites NIMA: Neural Image Assessment.

Explaining Automatic Image Assessment NIMA: Neural Image Assessment

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:15:08.338442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3de6c93-59da-4ce8-9c20-7148c862cdfa · outbound

This paper cites Image Composition Assessment with Saliency-augmented Multi-pattern Pooling.

Explaining Automatic Image Assessment Image Composition Assessment with Saliency-augmented Multi-pattern Pooling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T14:15:08.063741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3184d5-5bec-45e8-82e4-c1a81f942905 · outbound

This paper cites Eva: An explainable visual aesthetics dataset,.

Explaining Automatic Image Assessment Eva: An explainable visual aesthetics dataset,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.472630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1dd04beb-7e8f-42da-8d75-297d4d7ba21a · outbound

This paper cites Automatic aesthetic photo composition,.

Explaining Automatic Image Assessment Automatic aesthetic photo composition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.460699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8b1e3e94-8865-4ead-843f-af048abb5f8f · outbound

This paper cites A framework for photo-quality assess- ment and enhancement based on visual aesthetics,.

Explaining Automatic Image Assessment A framework for photo-quality assess- ment and enhancement based on visual aesthetics,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.448993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 245d6234-a1d2-48c0-a56f-87d3e490000f · outbound

This paper cites Ava: A large-scale database for aesthetic visual analy- sis,.

Explaining Automatic Image Assessment Ava: A large-scale database for aesthetic visual analy- sis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.435634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89c24fcc-14ff-4317-80f1-88b580ac9c3a · outbound

This paper cites good” or “bad.

Explaining Automatic Image Assessment good” or “bad

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.536034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f9a3cb2-0c61-4733-a86e-5636c296d35a · outbound

This paper cites Deep multi-patch aggregation network for image style, aesthetics, and quality estimation,.

Explaining Automatic Image Assessment Deep multi-patch aggregation network for image style, aesthetics, and quality estimation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.420904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94d5be4d-cb58-4a99-8d64-db1151fe4809 · outbound

This paper cites A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment.

Explaining Automatic Image Assessment A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:15:08.302780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aceaa71c-3e94-45cc-847f-f71ff578ca44 · outbound

This paper cites Effective Aesthetics Prediction with Multi-level Spatially Pooled Features.

Explaining Automatic Image Assessment Effective Aesthetics Prediction with Multi-level Spatially Pooled Features

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-09T14:15:08.280234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3e1b482-8593-43a2-bc0f-e90bb3e881bb · outbound

This paper cites Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks.

Explaining Automatic Image Assessment Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T14:15:08.104434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06d507cc-e1ce-4918-9ba2-52c4a43be15f · outbound

This paper cites Rethinking the Inception Architecture for Computer Vision.

Explaining Automatic Image Assessment Rethinking the Inception Architecture for Computer Vision

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T14:15:08.108741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caa5c777-36f0-4558-a7ed-635774232608 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Explaining Automatic Image Assessment MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T14:15:08.113216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c100b6b6-737a-4c72-8cd2-e7258d72082f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Explaining Automatic Image Assessment Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T14:15:08.117209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4bf461-0845-41ab-b457-3fa77f83f6b5 · outbound

This paper cites Mean-variance loss for deep age estimation from a face,.

Explaining Automatic Image Assessment Mean-variance loss for deep age estimation from a face,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.389490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 44db3f99-afd1-45c1-aa62-3f44d56876ba · outbound

This paper cites Single-view view synthesis with multiplane images,.

Explaining Automatic Image Assessment Single-view view synthesis with multiplane images,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:15:08.374495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 98a741c6-61f4-46dd-ad14-4ebebb2b8293 · outbound

This paper cites Photo Aesthetics Ranking Network with Attributes and Content Adaptation.

Explaining Automatic Image Assessment Photo Aesthetics Ranking Network with Attributes and Content Adaptation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T14:15:08.130898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c57717b-59b9-41ee-b898-0d2b39055170 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Explaining Automatic Image Assessment Adam: A Method for Stochastic Optimization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T14:15:08.135493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 503d5166-d712-4eae-8bd2-d6b04bbe8358 · inbound