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Paper Citation Record · LEDGER

Perceptual Flow Matching for Few-Step Generative Modeling

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:68bc0896209919b05e499828882fc6821d9138c363052a56ec290b9712dcf8b0

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:fc792fdad18c02beeb7fa783b9341e4237a62cb0f6a0dd27b657389fdee01963

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:d15d0bb9aafb16bda2f7482c37f8442bbccc6fe5ca6c8e21c4833cd77e62afd7

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=sha256:14b6b902ff3d38a42de30b91b629dbc6a608205775c946cf172ccc742fa373c0

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=sha256:508a917f89d6d4534e949252b47d5039361fda9532ad3bbcbe6db563eba707c5

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=sha256:8317fdbca04217c7505a3ea88d02b43ba92282629594a35c09da7cfd8fe8bddc

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=sha256:091f86806559291a1c64af599754cb02c8a50f32228a8d04ccc5dc6b846d5347

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

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:bad3c004e86a4bcd5c3ae12e32e013a73d410e056b3a26dbf83a4c36aed5c712

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=sha256:9434939c42a780db6a67adcc40ecc475f831d7eabe343efb9f55568eadea9299

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:ee0746e3170b91a5f0c41c07367e96167db53845200b10fbebf951fd7b581bac

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

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=sha256:76f1242edaebfb4b2450edce39ee9d8c481b421bfe1fa99946e8598d6eb11390

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=sha256:44a8ae1c2fa6a9ebb66967d47bf241c0952ce6c913c02658c65ca896d1e58b7a

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:d018e56016660a0fcc053c03fc3160bf2177f1dd80e4cd7604c672e9026beb9e

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=sha256:05e3ba72b960db0ea105557fc2cd178c47bae155a5dfb88baf1f377f35b38c38

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

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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:e48cb4ad81da44f91ea6902a5496ad94b4233b8c61ecd640dcc439bb0fec6716

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=sha256:140669279a810ccc0c4d10ac94223070edc6917f3e7fc7ef0df2159f00f5ed20