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Paper Citation Record · LEDGER

Block Flow: Learning Straight Flow on Data Blocks

As of 11 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.11361.

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

pith.paper-citation-record.v1
2501.11361 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:23:58.063903Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

25 of 25 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f7a5d84-7878-470c-8a8c-fdbe800794b5 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Block Flow: Learning Straight Flow on Data Blocks Deep unsupervised learning using nonequilibrium thermodynamics

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:23:57.939911Z digest=sha256:eb9d29f32960c14982a2d951d87139510c8b93c5a49c4483261a5ab5fe1c143f

Observation ab93dd97-24ec-461c-804c-d1da92a0aa0f · outbound

This paper cites Denoising diffusion probabilistic models.

Block Flow: Learning Straight Flow on Data Blocks Denoising diffusion probabilistic models

Reference 2

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source=pdf_text observed=2026-08-10T18:23:57.947353Z digest=sha256:22ffacbdd861e4c4e1996cf26accb76e01a1e75afd7942931945a0778adbd1dc

Observation 47a1fec9-e076-46cc-995f-787645f13da3 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Block Flow: Learning Straight Flow on Data Blocks Score-Based Generative Modeling through Stochastic Differential Equations

Reference 3

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source=pdf_text observed=2026-08-10T18:23:57.954024Z digest=sha256:d91bfe8824a025bfd44d07f8342bb2505b313ccdcf9f1e8f11e5fb4fc46103cd

Observation 6d8ce789-4a68-4eb4-8ba6-e89278e73a2c · outbound

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

Block Flow: Learning Straight Flow on Data Blocks High-resolution image synthesis with latent diffusion models

Reference 4

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Observation 98aa8d8b-c68f-430c-99b8-adf9383960bc · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Block Flow: Learning Straight Flow on Data Blocks Scaling rectified flow transformers for high-resolution image synthesis

Reference 5

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Observation 0080c4d0-c8b5-460c-bfb8-854c67304947 · outbound

This paper cites Video diffusion models.

Block Flow: Learning Straight Flow on Data Blocks Video diffusion models

Reference 6

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source=pdf_text observed=2026-08-10T18:23:57.972443Z digest=sha256:ea46f8e74713eb474fc7c96ed176232f8818216b9a8fa0f61ba6db3c4ccd4a74

Observation 95bef678-090d-4b39-8283-8c6a9842839c · outbound

This paper cites Lumiere: A space-time diffusion model for video generation.

Block Flow: Learning Straight Flow on Data Blocks Lumiere: A space-time diffusion model for video generation

Reference 7

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source=pdf_text observed=2026-08-10T18:23:57.977321Z digest=sha256:7ea1b2e8ed961478749ce8c3b93560da37549488537b93fe27ced640ed6823a7

Observation bc6c2fed-d444-4ed1-96a3-5ca58272cd13 · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Block Flow: Learning Straight Flow on Data Blocks DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 8

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source=pdf_text observed=2026-08-10T18:23:57.981277Z digest=sha256:89273344837691c5f586e80cfe171126fbd27e83c39c87e7bee5fb9381386a5a

Observation 2b91852d-ad9a-4fca-a538-f853e55b2396 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.

Block Flow: Learning Straight Flow on Data Blocks Accurate structure prediction of biomolecular interactions with alphafold 3

Reference 9

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source=pdf_text observed=2026-08-10T18:23:57.985536Z digest=sha256:77f19a99720a8927300b0d3403ee87196ed7988406554e9bf3b27cbd2502b6aa

Observation 16e95cb3-eb49-47e7-8e57-c3e1620646c3 · outbound

This paper cites A connection between score matching and denoising autoencoders.

Block Flow: Learning Straight Flow on Data Blocks A connection between score matching and denoising autoencoders

Reference 10

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source=pdf_text observed=2026-08-10T18:23:57.989795Z digest=sha256:388f4d96edfdce83460a00500f1f84067476702531b7331374bac6faee9cf3b0

Observation 05e97d77-1bc0-4cd7-b98b-8ce616c2aa12 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Block Flow: Learning Straight Flow on Data Blocks Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 11

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source=pdf_text observed=2026-08-10T18:23:57.993832Z digest=sha256:d8a4aa5ada0f12dbabc1b90bcd720d27606842ca260ed707d0b6a4323356fdd9

Observation 2321ff74-8a9e-42e7-9637-e21be9da0170 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Block Flow: Learning Straight Flow on Data Blocks Photorealistic text-to-image diffusion models with deep language understanding

Reference 12

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source=pdf_text observed=2026-08-10T18:23:57.998276Z digest=sha256:1684141dd19988f7938908daf6e284163ca832b5596bdc1eb5ae0f102fc39424

Observation 17abc513-730d-41b4-afae-c2e8c9195430 · outbound

This paper cites Neural ordinary differential equations.

Block Flow: Learning Straight Flow on Data Blocks Neural ordinary differential equations

Reference 13

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source=pdf_text observed=2026-08-10T18:23:58.003481Z digest=sha256:e6b1daa512f2a19e3d9d72ebc4a5f6b843c393297d5a68abbf839b2fe73d2bcc

Observation 240eae7a-7bf1-4af2-a0f0-a658b7708e5e · outbound

This paper cites Maximum likelihood training of score-based diffusion models.

Block Flow: Learning Straight Flow on Data Blocks Maximum likelihood training of score-based diffusion models

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:23:58.008074Z digest=sha256:427c9bf260b7e95012e3e6b501cb7008a3c09a9a3c51bf3be529e06315a6b817

Observation 23cbb07a-9e48-4cf3-926b-f52a51dea27f · outbound

This paper cites an unresolved cited work.

Block Flow: Learning Straight Flow on Data Blocks Unresolved cited work

Reference 15

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Observation d508050b-2b43-4c1f-9c01-42f3f05e847e · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow, 2022.

Block Flow: Learning Straight Flow on Data Blocks Flow straight and fast: Learning to generate and transfer data with rectified flow, 2022

Reference 16

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Observation 91283f20-e3af-44cc-9511-1850f562729b · outbound

This paper cites Bellman Optimal Stepsize Straightening of Flow-Matching Models.

Block Flow: Learning Straight Flow on Data Blocks Bellman Optimal Stepsize Straightening of Flow-Matching Models

Reference 17

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local_arxiv, observed 2026-08-10T18:23:58.127793Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 390a87cf-78d4-42ea-8506-8be7a4964d98 · outbound

This paper cites Minimizing Trajectory Curvature of ODE-based Generative Models.

Block Flow: Learning Straight Flow on Data Blocks Minimizing Trajectory Curvature of ODE-based Generative Models

Reference 18

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Observation e3344765-043c-4cc0-9b7d-f63f5504e694 · outbound

This paper cites an unresolved cited work.

Block Flow: Learning Straight Flow on Data Blocks Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c4d50cae-26c3-402a-ae3f-0714a2855875 · outbound

This paper cites Training generative adversarial networks with limited data.

Block Flow: Learning Straight Flow on Data Blocks Training generative adversarial networks with limited data

Reference 20

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation eb3094e6-700a-4b94-bf62-ad731f2a0d0f · outbound

This paper cites Differentiable augmentation for data-efficient gan training.

Block Flow: Learning Straight Flow on Data Blocks Differentiable augmentation for data-efficient gan training

Reference 21

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:23:58.045746Z digest=sha256:d2349c8d94fb8ff1afaac02904bcb16cd0cef62f65db97b1e89cc762adfd6905

Observation 67dd865e-6353-4d7b-9ba7-d853fbbbb949 · outbound

This paper cites Transgan: Two pure transformers can make one strong gan, and that can scale up.

Block Flow: Learning Straight Flow on Data Blocks Transgan: Two pure transformers can make one strong gan, and that can scale up

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dec96507-02e4-4bc0-91b7-97eaa7fdbf9f · outbound

This paper cites Spiking diffusion models.

Block Flow: Learning Straight Flow on Data Blocks Spiking diffusion models

Reference 23

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raw_fallback, observed 2026-08-10T18:23:58.224323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:23:58.055272Z digest=sha256:a471d2f563229404eea024cead8fa7940cf212f18ce7782607e660a15527a176

Observation e34bbb95-bd0e-4a67-9805-45166c2b9c0b · outbound

This paper cites Pfgm++: Unlocking the potential of physics-inspired generative models.

Block Flow: Learning Straight Flow on Data Blocks Pfgm++: Unlocking the potential of physics-inspired generative models

Reference 24

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T18:23:58.059673Z digest=sha256:fd085725bc5b626b4216bec16d78452daab6165598600ae4ae271b52b4913532

Observation aa50ec7e-08ad-4154-a8f9-3afe8c07295e · outbound

This paper cites Structured diffusion models with mixture of gaussians as prior distribution, 2024.

Block Flow: Learning Straight Flow on Data Blocks Structured diffusion models with mixture of gaussians as prior distribution, 2024

Reference 25

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

No inbound Pith citation observations are available.