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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 12 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 2026-08-11T06:34:44.6726+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=sha256:08289a90999c4ec0cff93b9e7d82e15f79402bae77b0f6747cf2e52a5bd47d55

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=sha256:9f65045e20f5cd2a8c2699d77495b426e207fbbf95e0a9d6ab49eeef30668fd1

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:e752ba31c202263dcbfbad4c38408092975bb588e0f15ec93088a7657d6643dd

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=sha256:1b51e223f610a81623c1dc89be4a82e30ff756f90b425d9d93329ef4321f693e

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=sha256:82e3e7342cdb1c3a7de329ef05238c796a55fed833e50f83723194f12ce28b0d

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=sha256:7d86249cd0a381f9a7647c5c914e6b9dea745d04e803329a3d05a780514f71fc

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:b207df5893a8d30b4c429b4d6641cc3ced0f01ffd1c53987c9990586d3217b53

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=sha256:9e772f63fd7169795ef0c17957a8b18ecf5eb870cfa7faa12aa81622c321b4d8

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=sha256:3940f58094dd3a8a8a728b09ba27b1835b2b66441196abfc3a44cfb717400d99

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=sha256:4c67b8b7204836d4a76f09f67871e0451b0cc815e9036532b437f877bbd8014f

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=sha256:4e30a1a8ce2111e03e69e57cd6e153173d15e0b1ed8056833b5be393d23096c8

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=sha256:8bef3eadbe6c266765ed3582a387756f563e9f9ae006541a1f80aeb5b2bba606

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:a5c34e48b66d46065459e912ac0e73596b9aa19e0f55eafee968570bc4500237

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=sha256:8c617ba9ccc8ccafa9863a7156795d5f7ea9740dda6ea7f0e05b7156ffea7aa9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:afec7f7cf93638ba8cfc9b6254365749a9336f7d3a5c34ada5d875c396496d5c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:6a51f81e5ad6fabd21a2911638b095525e15e6559b9188b9bff44c53cdfb7453

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=sha256:6a21497730a9a8f9d30f3e977f20a72f4964d9dc03ed67bdc0ec4f2dc8f118ed

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T13:36:15.259428Z digest=sha256:ad8fefd795f15138b847266e2de13b78c341f471cc115cf359c5c3f4b5afee9e

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=sha256:83cbecf90e0b3cd49c5757c1cfb46e59de674f8f8dc399734df412e792ae8ce1

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=sha256:4a4fec97f27641aed15399b113d0e6a6a15085b49ba60b590811b7cfe90d5613

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:fa1f3f37a1da7c43c2a3a832cccb97b9cec172888db7a1d05d438be372f2171c

Pith citing papers

No inbound Pith citation observations are available.