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Paper Citation Record · LEDGER

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2606.10894.

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

pith.paper-citation-record.v1
2606.10894 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T13:36:15.259428Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

21 of 21 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c988ef2-58df-4646-b182-6570d414c1d7 · outbound

This paper cites The 3rd ai for visual arts work- shop (ai4va).

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation The 3rd ai for visual arts work- shop (ai4va)

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:5fd892fdf41ef43d8b9ef67d50f1576ac8139128de27663a56fcca4646958e72

Observation 83f16813-861d-4d0c-89ad-ab4fb228d3de · outbound

This paper cites Artimuse: Fine-grained image aesthetics assessment with joint scoring and expert-level understanding.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Artimuse: Fine-grained image aesthetics assessment with joint scoring and expert-level understanding

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:9c4d9be0aa144a94bf34b45341813175d3048dde96a41177b2b1b9480c31fbe1

Observation 8f2c2c58-1966-48e7-9ac2-83a346c7f278 · outbound

This paper cites Z-image-turbo-distillpatch.https : / / huggingface.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Z-image-turbo-distillpatch.https : / / huggingface

Reference 3

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source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:341f317f79b2756a54890882a8b1bb912ac6f93a7f6610786164fc3b7b30b0bb

Observation f2d41cee-314e-4db4-bdc1-9ae7cfbc9fbf · outbound

This paper cites z-image-turbo-flow-dpo.https://huggingface.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation z-image-turbo-flow-dpo.https://huggingface

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:f9b74d34dcb0e79d519d6c5d891421509152090bd655de19f4b0789d0308dfab

Observation 0d25e6e6-7af5-430b-88d9-4e981fd86192 · outbound

This paper cites Ava: A video dataset of spatio-temporally localized atomic visual actions.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Ava: A video dataset of spatio-temporally localized atomic visual actions

Reference 5

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no resolver link, observed 2026-06-27T13:36:15.259428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:2941157f961c81c7fc236e1af33d0174f2fe809dfbd1fc62239d81a15f5b542b

Observation 3990e826-0a14-4622-ac7f-266e03b1e9af · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:9faafa5750d894b56b12f12d34680bfcc04c789d0bbbd0a887e835b09e3629cf

Observation c36a0972-42aa-4627-87cf-683d58c59ef2 · outbound

This paper cites APDDv2: Aesthetics of paintings and drawings dataset with artist labeled scores and comments.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation APDDv2: Aesthetics of paintings and drawings dataset with artist labeled scores and comments

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:cd7174ee0402280c581541788ec41af904a0815a4090cc4d2b2208948822b1c6

Observation 0b81fad1-9879-42e2-bff5-7c1281b4c801 · outbound

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

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Photo aesthetics ranking network with attributes and content adaptation

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:b524cce2f3420b96581dad54f794e9a6e009be3a44fe01bbd155e167ba01549b

Observation 7bc88407-56c7-4f5d-831d-dd046afd724e · outbound

This paper cites Decoupled weight decay regularization.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Decoupled weight decay regularization

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:c89b552c0c97c2c024bd2226259e0674516fd1f0d8d4611031942deb73f73705

Observation fba51d5d-d80a-4287-9fbf-f28e03d19c7c · outbound

This paper cites Sdedit: Guided image synthesis and editing with stochastic differential equa- tions.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Sdedit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:c5aaa3ff05b57b15188c761448e946eee02770a06664bdb05fba243a893d03ef

Observation 0397b69c-165c-49be-bee9-ee730f070631 · outbound

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

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Ava: A large-scale database for aesthetic visual analysis

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:91e735ace25b740451b36af7b2aac2804c7baa2bc0987d97b7d44e457ff19544

Observation e4690d06-a840-4734-9e25-9fb312a85692 · outbound

This paper cites Z-image-turbo-fun-controlnet-union-2.1.https : //www.modelscope.cn/models/PAI/Z- Image- Turbo-Fun-Controlnet-Union-2.1, 2025.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Z-image-turbo-fun-controlnet-union-2.1.https : //www.modelscope.cn/models/PAI/Z- Image- Turbo-Fun-Controlnet-Union-2.1, 2025

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:f89452c0ec43c60056d0d727a4860a0e8465bdf1a6981047de68be4e30bc8b8f

Observation 59beb386-d1e4-4a55-bbca-c2e14c9ce07e · outbound

This paper cites Manning, and Chelsea Finn.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Manning, and Chelsea Finn

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:7e2594c62199a1e12eb7971286a929667bd41a2379530673d49c4e43f36eefd2

Observation 3101257f-a7d1-4f49-abdb-ae14aa10a3b1 · outbound

This paper cites Improved aesthetic predic- tor: Clip+mlp aesthetic score predictor.https : / / github.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Improved aesthetic predic- tor: Clip+mlp aesthetic score predictor.https : / / github

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:8b0d81da27b4f6ee4f5a2986f814a079391f2ef0914b52ba6ea5a040bec76b75

Observation 3c22eafd-98fa-429a-a236-01e91f4f5b62 · outbound

This paper cites PortraitCraft: A Benchmark for Portrait Composition Understanding and Generation.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation PortraitCraft: A Benchmark for Portrait Composition Understanding and Generation

Reference 15

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verified exact
local_arxiv, observed 2026-07-03T04:47:38.640235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:c6e757b05e4cad12d773a53c0788866069b467542d80b224e3400f47f8834160

Observation 261c8ba9-d3ec-4f02-afae-aab84ef74086 · outbound

This paper cites Qwen3 Technical Report.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Qwen3 Technical Report

Reference 16

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verified exact
local_arxiv, observed 2026-07-03T04:47:38.645494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:e0a0964fdfedc483dd24a9067712afeb5833387076a44618697a5180f15b151e

Observation 1a1ed24b-21e6-4820-891e-efb56068a497 · outbound

This paper cites Qwen3.6-27b: Flagship-level coding in a 27b dense model, 2026.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Qwen3.6-27b: Flagship-level coding in a 27b dense model, 2026

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:4f89d0daa2b580143747962f30b713cbf6cb9d6b6c42d6cd19709b294326439f

Observation a2cd6be4-646e-488c-8f30-afb48953ef69 · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-03T04:47:38.642928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T14:08:11.489191+00:00.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:8c081f2349877bb1b8ff082b4ead5f261e8fce13b086a1b06cead7d1f3a8a5c3

Observation 306140d9-e6ad-43fb-b60d-39e93cee006e · outbound

This paper cites Unsplash datasets.https://github.com/ unsplash/datasets, 2023.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Unsplash datasets.https://github.com/ unsplash/datasets, 2023

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:2f569ee8b2b20b11bfa940aaa84b87ca8401d65dc549f3b19f450431746447f4

Observation 3c96a82f-04e6-4b9f-9d1a-f9fa0ee81eab · outbound

This paper cites Personalized image aes- thetics assessment with rich attributes.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Personalized image aes- thetics assessment with rich attributes

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:0acf1f7eb08d2c6836691f1ffc2ae84e51f5859f023fe7e2a4fce4416fff323e

Observation 3eb12f89-c858-44c5-8aa6-166de98331f2 · outbound

This paper cites Can machines understand composition? dataset and benchmark for photographic image composition embedding and understanding.

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation Can machines understand composition? dataset and benchmark for photographic image composition embedding and understanding

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:450f723a22a9ebf55435f554099463c12f639336c095ec08c4487909e78f367a

Pith citing papers

No inbound Pith citation observations are available.