Pith. sign in

Paper Citation Record · LEDGER

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

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.

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:27.706622Z digest=sha256:da2aa815c4f87084aada77424177752b552f864bd8c0f9da620c35e76d5e9e01

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:27.762467Z digest=sha256:fa18c27c595b25e4811a4ab9fdc7a1be7933033d3691bd481ea671bb1573411a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:27.848217Z digest=sha256:3b229f3080d94ba89258a36c3099ff2108fd3060ef976408261e17f2aee26871

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:27.928449Z digest=sha256:aa06c2dd85583e9ed60c122e61959259e93d0d5ac49b0ad62de8e5f102a837d4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:27.976286Z digest=sha256:7dcd046141d9bf9800b4f8a344443fbd2b193a8bfff77317348695f72fa49fbc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.092086Z digest=sha256:bc5aa84742931f5e6b5f679f03390abda446eaca3e5a741290a561143f61f2d6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.155744Z digest=sha256:53f1f78ab9723b40f0ff3c14c6175c2188c4c9848d14190a37667a5003848d80

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.246420Z digest=sha256:0e870fd6e6bd797f4bac3ecdefa02ea5af909974db18d496a8bc39df80560ec3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.303352Z digest=sha256:ab3c5033c834d6a14b1d6b0c41808fb17d4b92f97ec24a512de017876d725c59

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.372972Z digest=sha256:1798c974afc3deca0f4e2422ff837f3b15e34315264c8f0ca76de11e3d9f5217

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.431219Z digest=sha256:fe7f9a5191f79066e87cc956f305b8d6e078716c8005dc38fdff4ff2b57e21bb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.599848Z digest=sha256:1338cdc4a8d33d7230ad41b1b034c0ac0c58be1bb3ec7d4ebe48306c28ece3e7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.665587Z digest=sha256:f396a17483405c6ed850388fc133d837709e00bb54a784b881e02e1879507a10

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.736789Z digest=sha256:f81a360a41b99669f47b5ce904a447d5d56f633c85fadccfcb07c0aa472d1255

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.879649Z digest=sha256:f3d50ee53fc404e1a27f0b5d3f3bcb621134f187ad53bd321a821ee0b7640a2a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:28.938143Z digest=sha256:b19bad27258c095ad4274aa90dc156fbdb15c5eacbb1b2100ef59807016116f9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.024641Z digest=sha256:13243c02ac2ae1c03d46835a4609cfca2462a47c9794ccb6dc5ed385fade46f4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.081907Z digest=sha256:3fe3b42b6b8f421e9cc2df20f18d5fdb01ab87cd0f8ec793682d6a3181ad39b1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.131585Z digest=sha256:a475252ad8fdc8b55ed86599e31a9152ba7affd72e430648985fa959ae0ec411

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.212371Z digest=sha256:9b846d050616657db819510c4b69ff09372ecf924970d13fb21386f9b4dd95b7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.301207Z digest=sha256:fa686fd260715ee76b8dacae808ef2ec124b168500c033687aa979c325224de2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.370445Z digest=sha256:5f32519e215d8506aee2f68c65c09b18979095f150d400dcf76b0ab3faa4ad1e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.468965Z digest=sha256:40b3edcca9a60514c2bbd6e9a665cd2ae1235d930e4b62db915ba66dd1ea9773

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.555911Z digest=sha256:5ed1b4740ea629c7bffe92000fde06ab3bc15f7d44ecbeb42b5d17ae4cef5d8e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.621821Z digest=sha256:6c57c7602f7915262f5a37e049654bd983b9e1d7b30105ff01ac93a7ed953829

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:29.765168Z digest=sha256:863d9a330ea007d3aeaf33130d1b00fd8d8ce8289538bf55fbf7ca5342d27c63

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:edc51ea17e7cda21b4ec7a9669bbf2d8e3662c31f6afb157b527af59b6f86cab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:30.640472Z digest=sha256:51a57feb869957c34a7412571b734366ea759fc889945dd13adb2480662d914c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:30.795349Z digest=sha256:78c445e8189356ed9f95847d07375f827db4347b7801194b58bc7cbea62fcd41

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:30.946183Z digest=sha256:970d85d2c31fe187871cef7c18a0c978fa25e98c9e7cf92cf29d0757417aaa31

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:31.071879Z digest=sha256:64d7955fb8d248d280a8cf24da4deffd93174a8676db43125a3eea6f2c72d10c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:31.191287Z digest=sha256:b60e60b8be75ebe1467d61bde7e13bc8d3fa41884e28f24daab1321d9ee6726d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:31.359058Z digest=sha256:e61af81b34b145810c720231627db5eb6bb6b72d7e2bfe23d2d45f0f56703f74

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T23:35:31.508891Z digest=sha256:f31a4fe1b075908c307a1de755babd5636703e96fc9931613465d8e47e7bdf4d

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=sha256:4ed0434360950e9502814a447cf1468bfb5d30c2e4d1c811177da22a4658f353

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:52:29.681159Z digest=sha256:73063f60be9a441804b6e0a9ec39df8635a3c5aa160d51ebca8fca3549e9414c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T02:22:55.682373Z digest=sha256:367204285e5990ace098ddf72f7eb05ee6ab73b0e2bbb63bc775b82da807d60e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T17:59:56.102450Z digest=sha256:76a12d7ae55131948f2550d44d566b1bed6f9d0e85391ccf184525ba02b7670d