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Paper Citation Record · LEDGER

Perceptual Flow Matching for Few-Step Generative Modeling

As of 23 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2607.03524.

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

pith.paper-citation-record.v1
2607.03524 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:53:57.900599Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:49:34.760798Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7c80bb1-33a2-44df-80f1-2c273baae2ec · outbound

This paper cites MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model.

Perceptual Flow Matching for Few-Step Generative Modeling MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:96a3ceaaa6bf217d81c5228430fa6b8a32cc96cee7c4b8f9f51a9565279f39f5

Observation 975854c9-6ccc-4676-ba89-f3d5d7e8d6d0 · outbound

This paper cites Visual Generation Without Guidance.

Perceptual Flow Matching for Few-Step Generative Modeling Visual Generation Without Guidance

Reference 2

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unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:5341fcb121e3430aeb9f017481442a545c2b761ead1d695c88f87112a31811fb

Observation 74c989e8-3e28-4976-b450-87f8716a1309 · outbound

This paper cites Mean Flows for One-step Generative Modeling.

Perceptual Flow Matching for Few-Step Generative Modeling Mean Flows for One-step Generative Modeling

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:cfecf4e56200ead26ef40aa9a107ff89537a4938739b0f91e74852eb2d947a08

Observation 39093a83-a000-45c3-ae0f-69db0ca2f3c0 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Perceptual Flow Matching for Few-Step Generative Modeling Classifier-Free Diffusion Guidance

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:c760170466766c4d1b79b403c940a18405e7305704806018344d173e8c5515ba

Observation 9ae7373c-526e-438d-9225-e9aff366042b · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Perceptual Flow Matching for Few-Step Generative Modeling FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:4d4633e81c55c50deb7cff8aa74f943ac5fe2b65776e6f44f54cb6e2b435c6ba

Observation ac9b9a62-1f48-4183-9376-ff6019a4b70c · outbound

This paper cites Back to Basics: Let Denoising Generative Models Denoise.

Perceptual Flow Matching for Few-Step Generative Modeling Back to Basics: Let Denoising Generative Models Denoise

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:f234d8d4a0c19bddd06df923110676ab45b33cbb02d53d3c7f627918d05c0e93

Observation 9ac9029a-bd23-4e39-b80a-f4b819b8eac2 · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

Perceptual Flow Matching for Few-Step Generative Modeling Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:98ae6908067a0ab6d0c58a37a67f179f16606381acc43bd01f0c9f6e22744f22

Observation 54a381d6-b202-4f13-a5c6-451e1e0dc17d · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Perceptual Flow Matching for Few-Step Generative Modeling DINOv2: Learning Robust Visual Features without Supervision

Reference 8

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unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:38b2dfc51fc8b05726ef7d6a8d16fadc10457d01bb8d2a009ead49bd2c360c16

Observation 58db98d1-06a6-4348-9721-010e10052f0c · outbound

This paper cites Align Your Flow: Scaling Continuous-Time Flow Map Distillation.

Perceptual Flow Matching for Few-Step Generative Modeling Align Your Flow: Scaling Continuous-Time Flow Map Distillation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:7c5b92f6738c4ecd76490b10f5a4898fe818615a4d72b9f3bcb85fdca184d178

Observation 5aebe7ff-e0b2-48c5-a779-a79dd411faad · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Perceptual Flow Matching for Few-Step Generative Modeling Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:9d4617f9c9db420fb5e72ad23d49c9c9362ec2b8bfc717fa84d31310f160948b

Observation d2d46df3-20ac-4e3f-aa07-c8c72a8176f0 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Perceptual Flow Matching for Few-Step Generative Modeling Wan: Open and Advanced Large-Scale Video Generative Models

Reference 11

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unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:0eae55b54b2df160b4eee40b549e487e2112e52169c302e8174825637be576ae

Observation c0071568-fcc9-46ab-9540-edc2788deafd · outbound

This paper cites Internvideo2: Scaling foundation models for multimodal video understanding.

Perceptual Flow Matching for Few-Step Generative Modeling Internvideo2: Scaling foundation models for multimodal video understanding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:1bfed319268b2e2329d242cbb9099d1e574d216150ca45da0c240fcb3fcb036d

Observation 0a712d08-8b67-420e-b545-70f9ad15db42 · outbound

This paper cites Qwen-Image Technical Report.

Perceptual Flow Matching for Few-Step Generative Modeling Qwen-Image Technical Report

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:f56208f0b6fae71436d52c4d8d2eea3f46867608e396e48939ff67990c02b0de

Observation b11bb2d0-483e-4f69-9ece-26a5feffe2a2 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Perceptual Flow Matching for Few-Step Generative Modeling Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:e33e9cfdb51f027c7459bc7fad87a6fc4da323773b372de8b9a3cac2c5754528

Observation b7ad1bbe-38af-4240-9660-396f9f148cd3 · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Perceptual Flow Matching for Few-Step Generative Modeling Diffusion Transformers with Representation Autoencoders

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T01:53:57.900599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:53:57.900599Z digest=sha256:a59c9777fe3a202b57b072a1be9bdd967fec6f43693b42c16ae02a41f082af47

Pith citing papers

Observation 6eff6f55-d01b-4c38-8570-6935cb3d77f7 · inbound

Three-Body Scattering for Generative Modeling cites this paper.

Three-Body Scattering for Generative Modeling Perceptual Flow Matching for Few-Step Generative Modeling

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-01T15:49:34.760798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:49:34.760798Z digest=sha256:9402522b454fddff06c46d758425e6ac8931724ee35cf7ef9e6cacc445fea149