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Paper Citation Record · LEDGER

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer

As of 10 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.

pith.paper-citation-record.v1
2508.05069 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:35:31.856902Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:38:57.196538Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:30.614202Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9bcf384-f6bc-461b-b0c8-3468a654db27 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

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

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:27.621964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:27.621964Z digest=sha256:0d8872a4cfb2adea237e90d83c48a3f073bad9405b783b04f2abfc643f04b9ab

Observation 0814976c-51af-484e-8214-1a52e1a9f16a · outbound

This paper cites In: International Conference on Learn- ing Representations (2016) 3.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: International Conference on Learn- ing Representations (2016) 3

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:40.750925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:27.706622Z digest=sha256:9ce40fd23546e657d5b74047b6c42879609581c7a24520bcd34d7d3e1cea8e0a

Observation 827a960c-cd82-431b-88cb-e1cc0c728ec9 · outbound

This paper cites Mathe- matics of control, signals and systems2(4), 303–314 (1989) 1.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:40.583970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3b9afbe5-2173-44e4-adbe-c644b3f5e54b · outbound

This paper cites In: IEEE International Conference on Computer Vision Workshops.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: IEEE International Conference on Computer Vision Workshops

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:40.471604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:27.848217Z digest=sha256:ba4a46db84c345fd53625ea1814cf3b55855da8f1a58ddda0c5dc4ef965cb813

Observation 2968a15b-9234-4dc5-843f-d4608d41b533 · outbound

This paper cites In: Neural Networks (IJCNN), 2018 International Joint Conference on.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: Neural Networks (IJCNN), 2018 International Joint Conference on

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:40.333755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:27.928449Z digest=sha256:a8b1c8106db399ed3084e459f6c45f5fad1f396197e1d08b254d8f4f5e55d286

Observation 36cca7db-8050-4502-aa8a-faadec4f6380 · outbound

This paper cites IJCV88(2), 303–338 (2010) 12.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer IJCV88(2), 303–338 (2010) 12

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:40.159809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:27.976286Z digest=sha256:01023c7037428106f034f9dac61d85b884f4b46a1b64e89a8c304cf07437e8bb

Observation 34aded27-c9a2-47df-897b-afe3b73ef0de · outbound

This paper cites Journal of Machine Learning Research9(106), 249–256 (2010) 1.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:40.002875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.092086Z digest=sha256:3db604f8d471d8c016b51da5c88e826d7a12b474df573adeec0a686003da4954

Observation 83634cc5-1189-4ccc-935d-6203eadde368 · outbound

This paper cites In: 2013 IEEE international conference on acoustics, speech and signal processing.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:39.773111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.155744Z digest=sha256:18b07e95d7f7bedbfcfcc73c8a10c61bfe7feb7c03706f457f28cd6766e43e65

Observation 9cb3983a-5ccc-43f1-8c4a-cd7b3ae67428 · outbound

This paper cites In: IEEE International Conference on Computer Vision.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: IEEE International Conference on Computer Vision

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:39.597160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.246420Z digest=sha256:6b719102e8564dc176f4c835d6fea8343d031621c96a82fe278ac7b422326f40

Observation 374a3c34-c29d-4d9a-b5d8-645683610ded · outbound

This paper cites Proceedings of the IEEE international conference on computer vision pp.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:39.454293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.303352Z digest=sha256:df828c0d2055ed8e7fb64161050098501df75ccebb1442b401c03eb6cd5bc86e

Observation 3fec15c3-16ce-41dd-a4eb-a6ff8d9a9bff · outbound

This paper cites an unresolved cited work.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:35:39.250260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.372972Z digest=sha256:232afa00cc0ad70d049601b7f603c91ed9219bfe2a89ee4d6737463d3a168461

Observation ebb8f6a3-5a1c-4cf5-a52f-08a80f5bc98f · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019) 9.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:39.035883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.431219Z digest=sha256:d9db7ab8eac32287f6ce28cc9673235ef03fd5fd40e73228065244e0a5e94703

Observation 949ae424-ff9c-4ecc-9af6-68fb625e8f65 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Gaussian Error Linear Units (GELUs)

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:28.534301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:28.534301Z digest=sha256:0b0939df3584942b9e62b1300a3d4a75f08a15d2d47c42992259cc3aff26ea5f

Observation c546b275-8981-467f-b41b-61edd3ad8133 · outbound

This paper cites International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems6(02), 107–116 (1998) 1.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:38.842003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.599848Z digest=sha256:6629e1382d91678803afeace7d6faf424fbb5b228658163d65dbdffe49f8b3e3

Observation e77febe9-4a72-4725-a01c-c5275f51e1d6 · outbound

This paper cites Neural computation 9(8), 1735–1780 (1997) 1.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neural computation 9(8), 1735–1780 (1997) 1

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:38.641034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.665587Z digest=sha256:79279d99fe61ec87c520295ca17c83f1e19ce10581918215332f973e11a20dc5

Observation 349bb42f-2243-4d7e-89d3-9d50b2b0feaa · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition pp.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:37.607756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.736789Z digest=sha256:effed8cee95a99ef7143df28f95c82cab0dc3e4cdd17b60a6f4b41c757091af3

Observation 5debaacf-bd2c-4e93-ac42-9b3e86938eea · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

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

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:28.823426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:28.823426Z digest=sha256:43d679556c5ccbd342220f6f46a042ccff905211c834d3da0ece98266045bab5

Observation e0170da7-b04a-4613-9685-d8c4776dddab · outbound

This paper cites an unresolved cited work.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:35:36.320532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.879649Z digest=sha256:9207cb8e7f4a9a098e20513e98e231707739be51712a9b5c511bcf2fcae7bd0a

Observation 7db633e5-396b-4d88-b23f-a7e79e877cb7 · outbound

This paper cites Advances in neural information processing systems30 (2017) 2, 10.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Advances in neural information processing systems30 (2017) 2, 10

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:35.968322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:28.938143Z digest=sha256:35a11cb2b20f06965c892cf859eaccc37945ef826a0e49c33b6a0f048927e54f

Observation 47b8330c-4928-4620-8abc-1fc90d54095e · outbound

This paper cites In: Advances in Neural Information Processing Systems.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: Advances in Neural Information Processing Systems

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:35.794365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.024641Z digest=sha256:b03070e7665a7e49be57c17bc27bf4a04e5ee6685ad1d75efd023d3001d15ba9

Observation 218defc5-9775-4c24-92c0-fa4bed0a38d0 · outbound

This paper cites Technical report, University of Toronto (2009) 8, 9.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Technical report, University of Toronto (2009) 8, 9

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:35.591944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.081907Z digest=sha256:7f472e5b670e9a57d60e71e501a3a0c0d63e9d8c85794888afa94a54980a2108

Observation 92fa3b9e-221e-4346-b0e8-fbc167b4e3ba · outbound

This paper cites In: Advances in neural information processing systems (2012) 1.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: Advances in neural information processing systems (2012) 1

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:35.380351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.131585Z digest=sha256:cdf89699bc27d4b66f2622b499b98bcf950849e346071a82a832a8edf355fcda

Observation 6157358c-6a25-42a6-be68-1d52c599ad40 · outbound

This paper cites Neural computation 1(4), 541–551 (1989) 1.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neural computation 1(4), 541–551 (1989) 1

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:35.183364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.212371Z digest=sha256:460488951ec56cd915dd3f6dff34aab52af5fe18f2a2c13c8d73fcae23412670

Observation 1b4f137c-de56-409b-a271-6f69e4da5165 · outbound

This paper cites Proceedings of the IEEE86(11), 2278–2324 (1998) 8.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Proceedings of the IEEE86(11), 2278–2324 (1998) 8

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:34.962956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.301207Z digest=sha256:7c0ff10f9c6986a596679dcecbf691b7eafd425be8ae8e1a1c984a4bff39ae82

Observation e2fcc11c-f96c-4da0-a7a7-a3f9d14f63ab · outbound

This paper cites Neural net- works: Tricks of the trade pp.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neural net- works: Tricks of the trade pp

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:34.746767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.370445Z digest=sha256:441e5e5417407354c2f23661de9d30404e4cdb9eaf7ef78e117f00ed240cbbb5

Observation eb85845c-c6e6-43a1-a00b-ad60e1173d15 · outbound

This paper cites Neurocomputing 216, 718–734 (2016) 3.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neurocomputing 216, 718–734 (2016) 3

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:34.490025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.468965Z digest=sha256:7dfdf3f34061959581375c9c17c4e4fc751f398c423bbff69685f4c505905e43

Observation 3905f733-ada9-48bb-9b32-584738a4e80c · outbound

This paper cites Proceedings of the European conference on computer vision (ECCV) pp.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:34.235359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.555911Z digest=sha256:39fdc8bcc62fece349eff466b412cd112e56becba2601c0219b263eace5c77ff

Observation cd05bfd9-55a7-4d8a-ba1e-01e340b7eced · outbound

This paper cites an unresolved cited work.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T23:35:33.997689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.621821Z digest=sha256:cd506e902bc656f50418d881126237dbff5d1845916fb5889033147c06f7a2f0

Observation a697ca39-cd0f-43c1-a309-f3df1768b290 · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Mish: A Self Regularized Non-Monotonic Activation Function

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:29.658524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:29.658524Z digest=sha256:211ea5bea1824870776eed0b4965300f637b06ea27fe96ed84c3119ea4111b61

Observation 6a237a5d-d3bc-4cc5-b790-e0bed5abab8b · outbound

This paper cites In: Proceedings of the 27th international conference on machine learning (ICML-10).

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:33.813532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:29.765168Z digest=sha256:fe1c15dbc8f00e38da29bffa510473138225bd34913da068e24f42b2906c7690

Observation adb81197-c249-4eb2-8973-05987c08d4f8 · outbound

This paper cites Searching for Activation Functions.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Searching for Activation Functions

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:30.014902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:30.014902Z digest=sha256:82293e89a7b224e93b1659f8a6c4276380bc3346c94eb0e9cc14244e67cdf50e

Observation f69e177e-8c19-4731-a620-7405dba55016 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp.

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

Resolution
malformed identifier
no resolver link, observed 2026-08-05T23:35:30.171042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:30.171042Z digest=sha256:6e7adebb4e506e520016ae6e298fc978b57be66ae1870325be7ce95fd458006a

Observation 00f62dcf-aa95-4215-8802-6af2c967328c · outbound

This paper cites YOLOv3: An Incremental Improvement.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer YOLOv3: An Incremental Improvement

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:30.423138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:30.423138Z digest=sha256:347c697976d895c94a52acc79d05334f4561d9cf49003658f4244a402730c18d

Observation aacd1ce6-1cac-4b11-bdf3-ccad7d5af8d9 · outbound

This paper cites The annals of math- ematical statistics pp.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer The annals of math- ematical statistics pp

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:33.561984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:30.640472Z digest=sha256:0ce83366cba4096842079e2397c7360d4ce117304f4673caabb0044531784efd

Observation 12e0eb6d-37d3-4aa1-99c1-7956178313b6 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition pp.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:33.367531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:30.795349Z digest=sha256:68ae09780675fbb838ef8ec4c478e9ccd0bc9859b07e1dfca8026fd887b6fedd

Observation 35e3b608-8919-4eef-84b5-d19cb65ccf12 · outbound

This paper cites In: International Conference on Machine Learning.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: International Conference on Machine Learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:33.155914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:30.946183Z digest=sha256:75307b4a8ad1c36ee032577a7d63050eaa4019a86cc06e23d7fa3cd019f440d0

Observation 99e32abd-8afe-4864-a928-32de783c1a9f · outbound

This paper cites Thirty-first AAAI conference on artificial intelligence (2017) 11.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Thirty-first AAAI conference on artificial intelligence (2017) 11

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:32.965141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:31.071879Z digest=sha256:c3ffe72c46b975bba0d1cef82f83c0c8131c2e2de89da1a40c937dfaadf096f7

Observation 5029a953-65b2-4052-a609-6faa12b9619e · outbound

This paper cites International Conference on Machine Learning pp.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer International Conference on Machine Learning pp

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:32.780036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:31.191287Z digest=sha256:419b5b24772e98e2d40b874baf74c4523e9ad9e1a29c06282025591836419298

Observation 46aa5860-b11c-4af0-a485-514443fa4167 · outbound

This paper cites In: IEEE International Conference on Machine Learning and Applications.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer In: IEEE International Conference on Machine Learning and Applications

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:32.460645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:31.359058Z digest=sha256:745ef37a5f43d0403ffdd6cc5c23ed6594d82d1113be1ce000f695fc7b4acdab

Observation d4e49bee-b370-48ca-8b90-98ce4df3cbf4 · outbound

This paper cites Neurocomputing363, 88–98 (2019) 3.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Neurocomputing363, 88–98 (2019) 3

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:35:32.195608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T23:35:31.508891Z digest=sha256:547cc296bf1215a0d568ca0a80dbeb902c71ee6c9f43184aad01191b2febf58f

Observation 15edc10d-f001-46ac-a7aa-e3f7ac3aa06c · outbound

This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:31.745376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:31.745376Z digest=sha256:f530dad894116dff16480dd9ea7dd74635c9ccad79ea00f46271cff48d9d5774

Observation 050afb05-53b4-4c28-aae0-b2c702e8c4f0 · outbound

This paper cites Wide Residual Networks.

FLUX-Makeup: High-Fidelity, Identity-Consistent, and Robust Makeup Transfer via Diffusion Transformer Wide Residual Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T23:35:31.856902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:35:31.856902Z digest=sha256:41c968cea5fdaca828da49bfdf00c0cc35e700f31658391893651f265e43b6d6

Pith citing papers

Observation 2a34208b-42b1-4619-ba39-4c95ed79c4d7 · inbound

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:31:15.569074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:52:29.681159Z digest=sha256:c4ec3f93c8ecb9239a4b39f4e6b8fa7157ff7799caded7b0bbf19b6e130603e4

Observation 8c4b5fdd-ef54-4e02-bdb8-cde1753e2b8a · inbound

From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:54.358984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T02:22:55.682373Z digest=sha256:568b1f1d6de9537ea91b835a54c481257f32a15ea3c4d535b0ebd03d7053c70b

Observation 7705176a-173c-4528-be0c-64e55bdd65f4 · inbound

From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-02T14:38:57.196538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:38:57.196538Z digest=sha256:ab1734ea6b8b6c8ecc52c50f88b3ad9e5dd3fecfba870991667eda2f8dc20cf2

Observation 8e1abe48-9f4e-49bb-8484-640405c61673 · inbound

MakeupMirror: Improving Facial Attribute Preservation in Diffusion Models for Makeup Transfer cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:29:30.617576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T17:59:56.102450Z digest=sha256:340cc50a134343b5ff87b2ba5378ae39bd2d2fb2eee1287b31afa37b638008c0