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Paper Citation Record · LEDGER

Real-Time Person Image Synthesis Using a Flow Matching Model

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.03562.

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

pith.paper-citation-record.v1
2505.03562 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:52:05.950390Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4846949-4bc6-45e9-91d0-99d126af49f4 · outbound

This paper cites Person image synthesis via de- noising diffusion model.

Real-Time Person Image Synthesis Using a Flow Matching Model Person image synthesis via de- noising diffusion model

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.832066Z digest=sha256:38a1cbc4aff42fdaa4171ebfe0c92cb410162894f44f2c2756321054b4aa6f92

Observation 75b53ea4-b775-468a-81ef-e257fdcaee13 · outbound

This paper cites Neural ordinary differential equa- tions.

Real-Time Person Image Synthesis Using a Flow Matching Model Neural ordinary differential equa- tions

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 88ab866f-cf76-4939-8c90-b89fa7157619 · outbound

This paper cites Flow Matching in Latent Space.

Real-Time Person Image Synthesis Using a Flow Matching Model Flow Matching in Latent Space

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 14d127c8-cd1a-4506-8611-5c9e83dc7609 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Real-Time Person Image Synthesis Using a Flow Matching Model Taming transformers for high-resolution image synthesis

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c0ae50df-7539-48c2-af68-63674a340e5e · outbound

This paper cites Generative adversarial networks.

Real-Time Person Image Synthesis Using a Flow Matching Model Generative adversarial networks

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7136ba18-fffd-4899-abfe-b73f753210e3 · outbound

This paper cites Controllable person image synthesis with pose-constrained latent diffusion.

Real-Time Person Image Synthesis Using a Flow Matching Model Controllable person image synthesis with pose-constrained latent diffusion

Reference 6

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raw_fallback, observed 2026-08-15T23:52:06.265127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 27e2ada4-6bca-4c53-b374-a7f5c8f63feb · outbound

This paper cites Deep residual learning for image recognition.

Real-Time Person Image Synthesis Using a Flow Matching Model Deep residual learning for image recognition

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation be6a1938-b312-4a79-a670-a4dfe2035a69 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Real-Time Person Image Synthesis Using a Flow Matching Model Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f17a9197-1fd0-4cd6-be97-12f27c2d63d8 · outbound

This paper cites Classifier-free diffusion guidance.

Real-Time Person Image Synthesis Using a Flow Matching Model Classifier-free diffusion guidance

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation df969eee-f36b-4dc6-b61e-eb805427d48a · outbound

This paper cites Denoising dif- fusion probabilistic models.

Real-Time Person Image Synthesis Using a Flow Matching Model Denoising dif- fusion probabilistic models

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de5f6c95-0aee-4822-8156-c5690c03c6a0 · outbound

This paper cites Motion Flow Matching for Human Motion Synthesis and Editing.

Real-Time Person Image Synthesis Using a Flow Matching Model Motion Flow Matching for Human Motion Synthesis and Editing

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:05.869766Z digest=sha256:b359f94526eb3783c1eac883224064b44dd4750d40f10ac7dfc91a8d3fa1f481

Observation 88e61490-9206-4984-9298-2d9182bd4e2e · outbound

This paper cites A survey on gans for computer vision: Recent re- search, analysis and taxonomy.

Real-Time Person Image Synthesis Using a Flow Matching Model A survey on gans for computer vision: Recent re- search, analysis and taxonomy

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0b461315-32b6-4865-961d-6e57896513f1 · outbound

This paper cites V oicebox: Text-guided multilingual universal speech generation at scale.

Real-Time Person Image Synthesis Using a Flow Matching Model V oicebox: Text-guided multilingual universal speech generation at scale

Reference 13

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raw_fallback, observed 2026-08-15T23:52:06.219475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.876954Z digest=sha256:282b01432501db3ea0506c44b31775fd13600cfe072f614fecd05ea1d0c3d743

Observation 0ca0b70a-ff06-4695-9a90-269dbc519610 · outbound

This paper cites Appear- ance and pose-guided human generation: A survey.

Real-Time Person Image Synthesis Using a Flow Matching Model Appear- ance and pose-guided human generation: A survey

Reference 14

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raw_fallback, observed 2026-08-15T23:52:06.209201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation eb0847db-2e09-4e67-8512-94ce1eb7b612 · outbound

This paper cites Flow matching for generative mod- eling.

Real-Time Person Image Synthesis Using a Flow Matching Model Flow matching for generative mod- eling

Reference 15

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raw_fallback, observed 2026-08-15T23:52:06.199527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.883711Z digest=sha256:5bd082343db1285961b106c211012a856002c97728fb22bcd492d2b288389224

Observation 50df0d28-b079-4d6d-b4f5-660da268b4e7 · outbound

This paper cites Generative pre-training for speech with flow matching.

Real-Time Person Image Synthesis Using a Flow Matching Model Generative pre-training for speech with flow matching

Reference 16

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raw_fallback, observed 2026-08-15T23:52:06.189491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9269af60-d555-47b3-ba2c-64e0d7af0eca · outbound

This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

Real-Time Person Image Synthesis Using a Flow Matching Model Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Reference 17

Resolution
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raw_fallback, observed 2026-08-15T23:52:06.178219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 83b50f65-8a2a-4f33-b046-16391a645218 · outbound

This paper cites Coarse-to-fine latent diffusion for pose- guided person image synthesis.

Real-Time Person Image Synthesis Using a Flow Matching Model Coarse-to-fine latent diffusion for pose- guided person image synthesis

Reference 18

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raw_fallback, observed 2026-08-15T23:52:06.167330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 88a33194-850b-4842-bbdc-9bd81f6f491e · outbound

This paper cites Learning semantic per- son image generation by region-adaptive normalization.

Real-Time Person Image Synthesis Using a Flow Matching Model Learning semantic per- son image generation by region-adaptive normalization

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d1e7cda2-b02b-4947-82a6-0d96f6a37721 · outbound

This paper cites Pose guided person image gener- ation.

Real-Time Person Image Synthesis Using a Flow Matching Model Pose guided person image gener- ation

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9bb1b4fb-b518-4123-99ee-0b1e2eb44634 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

Real-Time Person Image Synthesis Using a Flow Matching Model Dinov2: Learning robust visual features without supervision

Reference 21

Resolution
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raw_fallback, observed 2026-08-15T23:52:06.136265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2ada54f0-0a78-4d96-96dd-16f8414e6081 · outbound

This paper cites Scalable diffusion models with transformers.

Real-Time Person Image Synthesis Using a Flow Matching Model Scalable diffusion models with transformers

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8854402d-6e20-4861-a7b5-02179b5dd7fa · outbound

This paper cites Cross-view masked diffusion transformers for person image synthesis.

Real-Time Person Image Synthesis Using a Flow Matching Model Cross-view masked diffusion transformers for person image synthesis

Reference 23

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raw_fallback, observed 2026-08-15T23:52:06.119234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0d4c310a-ca6a-45a7-a785-c5474490ad00 · outbound

This paper cites Neural texture extraction and distribution for controllable person image synthesis.

Real-Time Person Image Synthesis Using a Flow Matching Model Neural texture extraction and distribution for controllable person image synthesis

Reference 24

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raw_fallback, observed 2026-08-15T23:52:06.108287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e790f06f-81f6-4fe9-9ef0-4334207c8b7d · outbound

This paper cites Variational inference with normalizing flows.

Real-Time Person Image Synthesis Using a Flow Matching Model Variational inference with normalizing flows

Reference 25

Resolution
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raw_fallback, observed 2026-08-15T23:52:06.097307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1a1727b3-6ee0-4099-84ea-99b546cbfd28 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Real-Time Person Image Synthesis Using a Flow Matching Model High-resolution image synthesis with latent diffusion models

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2cd8709e-c9f0-4ff5-89b4-2e308bbe2a59 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Real-Time Person Image Synthesis Using a Flow Matching Model U- net: Convolutional networks for biomedical image segmen- tation

Reference 27

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raw_fallback, observed 2026-08-15T23:52:06.080657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation adb8c085-b732-4377-be84-4db68bc1d5ba · outbound

This paper cites Deep person generation: A survey from the perspective of face, pose, and cloth synthesis.

Real-Time Person Image Synthesis Using a Flow Matching Model Deep person generation: A survey from the perspective of face, pose, and cloth synthesis

Reference 28

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raw_fallback, observed 2026-08-15T23:52:06.069187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.926774Z digest=sha256:5d9b4d2dea52ed5a8bc8dd2519bc3a2413cf2eebdda49c564129b91db72faf72

Observation ed9de0af-c699-40f2-92ec-5ac25c917c14 · outbound

This paper cites Advancing pose-guided image synthesis with progres- sive conditional diffusion models.

Real-Time Person Image Synthesis Using a Flow Matching Model Advancing pose-guided image synthesis with progres- sive conditional diffusion models

Reference 29

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raw_fallback, observed 2026-08-15T23:52:06.059009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.930096Z digest=sha256:9037168e253cd71c565ecdc114b08d21c170bd43cbc1135c730b3fdcefd203c2

Observation d237b6de-f25b-48cc-a785-13416dc7339e · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Real-Time Person Image Synthesis Using a Flow Matching Model Image quality assessment: from error visibility to structural similarity

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:05.933587Z digest=sha256:1cb4d20dd9be9c756858aac7dc9e0151396640bd1595cbb8da9c986757d3f5bf

Observation cc260231-1fe6-4a84-bbee-7a745f4a854a · outbound

This paper cites Exploring dual-task correlation for pose guided person image generation.

Real-Time Person Image Synthesis Using a Flow Matching Model Exploring dual-task correlation for pose guided person image generation

Reference 31

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raw_fallback, observed 2026-08-15T23:52:06.042431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.936771Z digest=sha256:f41e111190c49043801c617e7925d1360c4a7cf8c5b65c18c80e0927017e809c

Observation 71eee864-b849-4d80-9fc4-2fd102612b05 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Real-Time Person Image Synthesis Using a Flow Matching Model The unreasonable effectiveness of deep features as a perceptual metric

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:52:05.939955Z digest=sha256:3c951c51d2006fb69dd2bbda377732ba038e9243a824edf968c4760a50747cd1

Observation 93db677f-89df-4629-842b-3dfce15e842b · outbound

This paper cites Cocosnet v2: Full-resolution correspondence learning for image trans- lation.

Real-Time Person Image Synthesis Using a Flow Matching Model Cocosnet v2: Full-resolution correspondence learning for image trans- lation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:52:06.025056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.943185Z digest=sha256:464c3a8d3f8c1d25b72a0532eca9ab56d9db10b2068bd781bf9a7cad7da0cff5

Observation 4130d108-1098-4404-a943-eabeae4dec33 · outbound

This paper cites Cross attention based style distribution for controllable person image synthesis.

Real-Time Person Image Synthesis Using a Flow Matching Model Cross attention based style distribution for controllable person image synthesis

Reference 34

Resolution
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raw_fallback, observed 2026-08-15T23:52:06.014392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.946762Z digest=sha256:c784b8966721e3fb63923ce1b207fb2e7f56f245787384cee35d7ebc7e5eadaa

Observation 48bc6d4f-d1fe-416b-8964-fee5a2d962f8 · outbound

This paper cites Progressive pose attention transfer for person image generation.

Real-Time Person Image Synthesis Using a Flow Matching Model Progressive pose attention transfer for person image generation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:52:06.002701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T23:52:05.950390Z digest=sha256:cef8029f67b20716fc7bab20856921dcc12f002dbe201a6a3108abbce29c11b8

Pith citing papers

No inbound Pith citation observations are available.