Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:35:31.856902Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 4 inbound Pith citation observations for arXiv:2508.05069.
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, observed 2026-08-05T23:35:31.856902Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T14:38:57.196538Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:29:30.614202Z
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b9bcf384-f6bc-461b-b0c8-3468a654db27 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Reference 1
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Observation 0814976c-51af-484e-8214-1a52e1a9f16a · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: International Conference on Learn- ing Representations (2016) 3
Reference 2
Source-reported events for the cited work
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Observation 827a960c-cd82-431b-88cb-e1cc0c728ec9 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Mathe- matics of control, signals and systems2(4), 303–314 (1989) 1
Reference 3
Source-reported events for the cited work
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Observation 3b9afbe5-2173-44e4-adbe-c644b3f5e54b · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: IEEE International Conference on Computer Vision Workshops
Reference 4
Source-reported events for the cited work
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Observation 2968a15b-9234-4dc5-843f-d4608d41b533 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: Neural Networks (IJCNN), 2018 International Joint Conference on
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Observation 36cca7db-8050-4502-aa8a-faadec4f6380 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer IJCV88(2), 303–338 (2010) 12
Reference 6
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Observation 34aded27-c9a2-47df-897b-afe3b73ef0de · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Journal of Machine Learning Research9(106), 249–256 (2010) 1
Reference 7
Source-reported events for the cited work
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Observation 83634cc5-1189-4ccc-935d-6203eadde368 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: 2013 IEEE international conference on acoustics, speech and signal processing
Reference 8
Source-reported events for the cited work
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Observation 9cb3983a-5ccc-43f1-8c4a-cd7b3ae67428 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: IEEE International Conference on Computer Vision
Reference 9
Source-reported events for the cited work
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Observation 374a3c34-c29d-4d9a-b5d8-645683610ded · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Proceedings of the IEEE international conference on computer vision pp
Reference 10
Source-reported events for the cited work
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Observation 3fec15c3-16ce-41dd-a4eb-a6ff8d9a9bff · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Unresolved cited work
Reference 11
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Observation ebb8f6a3-5a1c-4cf5-a52f-08a80f5bc98f · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019) 9
Reference 12
Source-reported events for the cited work
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Observation 949ae424-ff9c-4ecc-9af6-68fb625e8f65 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Gaussian Error Linear Units (GELUs)
Reference 13
Source-reported events for the cited work
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Observation c546b275-8981-467f-b41b-61edd3ad8133 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems6(02), 107–116 (1998) 1
Reference 14
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Observation e77febe9-4a72-4725-a01c-c5275f51e1d6 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neural computation 9(8), 1735–1780 (1997) 1
Reference 15
Source-reported events for the cited work
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Observation 349bb42f-2243-4d7e-89d3-9d50b2b0feaa · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Proceedings of the IEEE conference on computer vision and pattern recognition pp
Reference 16
Source-reported events for the cited work
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Observation 5debaacf-bd2c-4e93-ac42-9b3e86938eea · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Reference 17
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Observation e0170da7-b04a-4613-9685-d8c4776dddab · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 7db633e5-396b-4d88-b23f-a7e79e877cb7 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Advances in neural information processing systems30 (2017) 2, 10
Reference 19
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Observation 47b8330c-4928-4620-8abc-1fc90d54095e · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: Advances in Neural Information Processing Systems
Reference 20
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Observation 218defc5-9775-4c24-92c0-fa4bed0a38d0 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Technical report, University of Toronto (2009) 8, 9
Reference 21
Source-reported events for the cited work
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Observation 92fa3b9e-221e-4346-b0e8-fbc167b4e3ba · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: Advances in neural information processing systems (2012) 1
Reference 22
Source-reported events for the cited work
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Observation 6157358c-6a25-42a6-be68-1d52c599ad40 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neural computation 1(4), 541–551 (1989) 1
Reference 23
Source-reported events for the cited work
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Observation 1b4f137c-de56-409b-a271-6f69e4da5165 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Proceedings of the IEEE86(11), 2278–2324 (1998) 8
Reference 24
Source-reported events for the cited work
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Observation e2fcc11c-f96c-4da0-a7a7-a3f9d14f63ab · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neural net- works: Tricks of the trade pp
Reference 25
Source-reported events for the cited work
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Observation eb85845c-c6e6-43a1-a00b-ad60e1173d15 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neurocomputing 216, 718–734 (2016) 3
Reference 26
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Observation 3905f733-ada9-48bb-9b32-584738a4e80c · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Proceedings of the European conference on computer vision (ECCV) pp
Reference 27
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Observation cd05bfd9-55a7-4d8a-ba1e-01e340b7eced · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Unresolved cited work
Reference 28
Source-reported events for the cited work
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Observation a697ca39-cd0f-43c1-a309-f3df1768b290 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Mish: A Self Regularized Non-Monotonic Activation Function
Reference 29
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Observation 6a237a5d-d3bc-4cc5-b790-e0bed5abab8b · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: Proceedings of the 27th international conference on machine learning (ICML-10)
Reference 30
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Observation adb81197-c249-4eb2-8973-05987c08d4f8 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Searching for Activation Functions
Reference 31
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Observation f69e177e-8c19-4731-a620-7405dba55016 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp
Reference 32
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Observation 00f62dcf-aa95-4215-8802-6af2c967328c · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer YOLOv3: An Incremental Improvement
Reference 33
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Observation aacd1ce6-1cac-4b11-bdf3-ccad7d5af8d9 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer The annals of math- ematical statistics pp
Reference 34
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Observation 12e0eb6d-37d3-4aa1-99c1-7956178313b6 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Proceedings of the IEEE conference on computer vision and pattern recognition pp
Reference 35
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Observation 35e3b608-8919-4eef-84b5-d19cb65ccf12 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: International Conference on Machine Learning
Reference 36
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Observation 99e32abd-8afe-4864-a928-32de783c1a9f · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Thirty-first AAAI conference on artificial intelligence (2017) 11
Reference 37
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Observation 5029a953-65b2-4052-a609-6faa12b9619e · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer International Conference on Machine Learning pp
Reference 38
Source-reported events for the cited work
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Observation 46aa5860-b11c-4af0-a485-514443fa4167 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: IEEE International Conference on Machine Learning and Applications
Reference 39
Source-reported events for the cited work
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Observation d4e49bee-b370-48ca-8b90-98ce4df3cbf4 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neurocomputing363, 88–98 (2019) 3
Reference 40
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Observation 15edc10d-f001-46ac-a7aa-e3f7ac3aa06c · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 42
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Observation 050afb05-53b4-4c28-aae0-b2c702e8c4f0 · outbound
FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Wide Residual Networks
Reference 43
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Unavailable: canonical work link unavailable.
Observation 2a34208b-42b1-4619-ba39-4c95ed79c4d7 · inbound
Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer
Reference 27
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Observation 8c4b5fdd-ef54-4e02-bdb8-cde1753e2b8a · inbound
From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer
Reference 15
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Observation 7705176a-173c-4528-be0c-64e55bdd65f4 · inbound
From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e1abe48-9f4e-49bb-8484-640405c61673 · inbound
MakeupMirror: Improving Facial Attribute Preservation in Diffusion Models for Makeup Transfer FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.