Paper Citation Record · LEDGER

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1908.01308.

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

pith.paper-citation-record.v1
1908.01308 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:23:34.345099Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy36
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53f62fdb-e027-421a-9d25-5a5f8c51b2a7 · outbound

This paper cites Aesthetic-driven image enhancement by adversarial learning.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Aesthetic-driven image enhancement by adversarial learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.932505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 99136ae9-8c0c-4c2a-b30c-d32e77b08f65 · outbound

This paper cites The design of high-level features for photo quality assessment.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs The design of high-level features for photo quality assessment

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.922193Z

Source-reported events for the cited work

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Observation 3c8f5b95-3231-4f3a-adf4-ad3889b68dc2 · outbound

This paper cites Content-based photo quality assessment.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Content-based photo quality assessment

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.909620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e96d9a69-d1b4-4211-9324-a2455002aa18 · outbound

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

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs A framework for photo-quality assessment and enhancement based on visual aesthetics

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.897893Z

Source-reported events for the cited work

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Observation 750cbd28-0328-44b6-9a46-3e5ad7411b51 · outbound

This paper cites High level describable attributes for predicting aesthetics and interestingness.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs High level describable attributes for predicting aesthetics and interestingness

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.886821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1eea80e7-a546-4979-8c8f-eaf4b211c0f8 · outbound

This paper cites Scenic photo quality assessment with bag of aesthetics- preserving features.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Scenic photo quality assessment with bag of aesthetics- preserving features

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.875476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a82cbffb-405b-4321-b2b3-3aff67ca2bd2 · outbound

This paper cites Towards aesthetics: A photo quality assessment and photo selection system.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Towards aesthetics: A photo quality assessment and photo selection system

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.734150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cdc7c1f3-0e01-4201-bf30-18663e2643e0 · outbound

This paper cites Lin, Xiaohui Shen, Radom ´ır Mech, and James Zijun Wang.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Lin, Xiaohui Shen, Radom ´ır Mech, and James Zijun Wang

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.722399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4b66d862-fa20-4aae-a4f5-739757e5e643 · outbound

This paper cites A-lamp: Adaptive layout- aware multi-patch deep convolutional neural network for photo aesthetic assessment.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs A-lamp: Adaptive layout- aware multi-patch deep convolutional neural network for photo aesthetic assessment

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.711080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation be94c3ae-6252-414e-8fe9-7653155e94de · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Fully convolutional networks for semantic segmentation

Reference 10

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Source-reported events for the cited work

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Observation 0b5b932d-c65f-43f9-98a2-99b4fae35f49 · outbound

This paper cites Spatial pyra- mid pooling in deep convolutional networks for visual recognition.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Spatial pyra- mid pooling in deep convolutional networks for visual recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.694821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9890c58d-61c1-4395-8488-b5ba7d6cf76c · outbound

This paper cites Image aesthetic distribution prediction with fully convolutional network.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Image aesthetic distribution prediction with fully convolutional network

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.681229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a967a54c-5a72-4396-a010-cba01bdcfda7 · outbound

This paper cites Image aesthetics assessment using fully convolutional neural networks.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Image aesthetics assessment using fully convolutional neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.670239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 776c8bc5-f1d1-4eaa-a17e-1d270cdce821 · outbound

This paper cites Distribution-oriented aesthetics assessment with semantic-aware hybrid network.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Distribution-oriented aesthetics assessment with semantic-aware hybrid network

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.659018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28013957-624e-4446-abc6-fed7ac289a41 · outbound

This paper cites Fast r-cnn.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Fast r-cnn

Reference 15

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Source-reported events for the cited work

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Observation d296d738-c991-4d27-b74f-cf2f8e671fca · outbound

This paper cites Deep aesthetic quality assessment with semantic information.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Deep aesthetic quality assessment with semantic information

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.641490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a55b3ea6-8fc5-4914-8ba3-62728c3798e7 · outbound

This paper cites Predicting aesthetic score distribution through cumulative jensen-shannon divergence.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Predicting aesthetic score distribution through cumulative jensen-shannon divergence

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.620982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 949c7213-aa22-4282-8689-d6d5c67cf99d · outbound

This paper cites Nima: Neural image assessment.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Nima: Neural image assessment

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.481787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c4913856-e962-4612-98fc-7b2d485196e0 · outbound

This paper cites A gated peripheral- foveal convolutional neural network for uniﬁed image aesthetic predic- tion.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs A gated peripheral- foveal convolutional neural network for uniﬁed image aesthetic predic- tion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.390912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 09b88b79-feaf-46d8-9423-991341fb869e · outbound

This paper cites Photo and video quality evaluation: Focusing on the subject.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Photo and video quality evaluation: Focusing on the subject

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.379197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d2d14ec-4a56-412e-babc-1616b893787a · outbound

This paper cites Modeling the shape of the scene: A holistic representation of the spatial envelope.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Modeling the shape of the scene: A holistic representation of the spatial envelope

Reference 21

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Source-reported events for the cited work

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Observation 692ae3c4-4ca1-4c5f-b980-000e0c2e60b1 · outbound

This paper cites Distinctive image features from scale-invariant key- points.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Distinctive image features from scale-invariant key- points

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.360729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad4f74a0-5700-4598-9425-e835f5239e58 · outbound

This paper cites Assessing the aesthetic quality of photographs using generic image descriptors.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Assessing the aesthetic quality of photographs using generic image descriptors

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.349860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1578345f-3fbc-4496-9929-1c0d3d226088 · outbound

This paper cites Rapid: Rating pictorial aesthetics using deep learning.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Rapid: Rating pictorial aesthetics using deep learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.312711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4421166-b6d5-456d-9b70-d4eabe30e6da · outbound

This paper cites Rating image aesthetics using deep learning.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Rating image aesthetics using deep learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.125018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fe9af406-85ba-4b76-b2b8-1e94feda7e3a · outbound

This paper cites Visual aesthetic quality assessment with a regression model.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Visual aesthetic quality assessment with a regression model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.088798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fc60b75e-4678-4ef0-ba7a-5d3743716c87 · outbound

This paper cites Photo quality assessment with dcnn that understands image well.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Photo quality assessment with dcnn that understands image well

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.078810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ae5ce91e-4d73-421a-982c-7e75a6ecb9da · outbound

This paper cites Query-dependent aesthetic model with deep learning for photo quality assessment.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Query-dependent aesthetic model with deep learning for photo quality assessment

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.068659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 25ede63c-e4ac-4f1c-8e1a-e51a8bf05bc2 · outbound

This paper cites Aspect-ratio-preserving multi-patch image aesthetics score prediction.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Aspect-ratio-preserving multi-patch image aesthetics score prediction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.057280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05a33316-dffd-466c-bdd1-f2d3dec3f2d3 · outbound

This paper cites Composition-preserving deep photo aesthetics assessment.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Composition-preserving deep photo aesthetics assessment

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.046643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1a273fcc-95e9-4ecd-8d5a-a636ec4d5088 · outbound

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

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Effective Aesthetics Prediction with Multi-level Spatially Pooled Features

Reference 31

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Source-reported events for the cited work

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Observation 382abfa7-2399-4b96-952f-55172c77c161 · outbound

This paper cites Learning to predict the perceived visual quality of photos.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Learning to predict the perceived visual quality of photos

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:35.036149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation edb2cb16-de9a-4822-929a-5fa1f8e985a6 · outbound

This paper cites Image aesthetic predictors based on weighted cnns.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Image aesthetic predictors based on weighted cnns

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.933536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 503965b2-6275-4f0e-aca7-ac3573b73b0c · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmen- tation.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Rich feature hierarchies for accurate object detection and semantic segmen- tation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.753787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ce237ef-78b4-4fb5-96e9-46754fb031f2 · outbound

This paper cites Mask r-cnn.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Mask r-cnn

Reference 35

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Source-reported events for the cited work

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Observation 4e55c734-0153-4698-be46-c6550bfc29ea · outbound

This paper cites R-fcn: Object detection via region-based fully convolutional networks.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs R-fcn: Object detection via region-based fully convolutional networks

Reference 36

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Source-reported events for the cited work

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Observation 63b4f0f1-4338-4e6c-b7d9-04699cce7063 · outbound

This paper cites Feature pyramid networks for object detection.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Feature pyramid networks for object detection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.648710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0aa597f6-c28d-4832-8be4-c7129783b2be · outbound

This paper cites Cascade r-cnn: Delving into high quality object detection.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Cascade r-cnn: Delving into high quality object detection

Reference 38

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Source-reported events for the cited work

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Observation 3bfdba91-f108-4d09-96b8-a8d25fd4e990 · outbound

This paper cites Rethinking the inception architecture for computer vision.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Rethinking the inception architecture for computer vision

Reference 39

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Source-reported events for the cited work

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Observation d5c61f1b-cdd2-43ff-9548-986b9debb5f0 · outbound

This paper cites Ava: A large- scale database for aesthetic visual analysis.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Ava: A large- scale database for aesthetic visual analysis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.603961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 969ae758-9ec1-4810-aebf-5b437a9271d5 · outbound

This paper cites Algorithmic inferencing of aesthetics and emotion in natural images: An exposition.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Algorithmic inferencing of aesthetics and emotion in natural images: An exposition

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.591084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2ea62685-cbe4-444c-98d1-7a74525e7c53 · outbound

This paper cites Hierarchical aesthetic quality assessment using deep convolutional neural networks.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Hierarchical aesthetic quality assessment using deep convolutional neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.579090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d1f9010-8146-4fca-aa97-fc8bf78668dc · outbound

This paper cites Photo aesthetics ranking network with attributes and content adaptation.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Photo aesthetics ranking network with attributes and content adaptation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.452645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4ce6a1b1-68f7-4889-bec6-25baa55e911b · outbound

This paper cites Mlans: Image aesthetic assessment via multi-layer aggregation networks.

Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs Mlans: Image aesthetic assessment via multi-layer aggregation networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:23:34.390063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.