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Paper Citation Record · LEDGER

Beckmann Transport Models: From Autonomous Flows to One-Step Maps

As of 7 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.01692.

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

pith.paper-citation-record.v1
2608.01692 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:16:57.100866Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 257d77df-b7ad-4124-bd52-b4cf3786d495 · outbound

This paper cites The condition’s role in higher codim is to promote oblique streamlines to normal — a stronger but inessential form of regularity.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps The condition’s role in higher codim is to promote oblique streamlines to normal — a stronger but inessential form of regularity

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:16:58.926343Z

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=2026-08-07T00:16:56.978637Z digest=sha256:e52e66253fc4bf73550a33bbb6587598ab4abc5c0289679b57094180ac73098f

Observation 46b38e27-fe5b-4482-a2ef-aea0eac7136f · outbound

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

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Mean Flows for One-step Generative Modeling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:55.394562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:55.394562Z digest=sha256:3f42e2a8d429bfaee473cae68f9d8a691f441f3c9cacd7da7720a6511a13fb0e

Observation b1e9c12a-0097-470c-809d-426312916776 · outbound

This paper cites Poisson Flow Generative Models.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Poisson Flow Generative Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:56.404840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:56.404840Z digest=sha256:f4edf1ba8c845f7f2ad386ba8261d4b987370e8194f0c902119cfa6dd103fbb5

Observation 4cef09ea-6555-4a27-a592-cac9df0bb19a · outbound

This paper cites PFGM++: Unlocking the Potential of Physics-Inspired Generative Models.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps PFGM++: Unlocking the Potential of Physics-Inspired Generative Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:56.584959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:56.584959Z digest=sha256:a21c03e2d89e4a32bcd02177fff15abd4d6061473dc540ee9e259ce51ec9ac67

Observation 0755df0a-347d-4cec-b67f-13d26d748dd9 · outbound

This paper cites an unresolved cited work.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:16:59.247649Z

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=2026-08-07T00:16:56.790477Z digest=sha256:07b425f3b3fd2faf6030796d7ce5df0971fe162d96d2b76ec94f52535b128eab

Observation 4815d86c-5a83-49ce-b5a5-f9b7a17c3be8 · outbound

This paper cites Flow map matching with stochastic interpolants: A mathematical framework for consistency models.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 2000

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:54.917604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:54.917604Z digest=sha256:bad3127d0a32d025d409edbceb8d19f112a013b7c5dec97873be73df79736a19

Observation 97e4478a-a621-4536-97db-4410be434ea4 · outbound

This paper cites Equilibrium matching: Generative modeling with implicit energy-based models.arXiv preprint arXiv:2510.02300,.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Equilibrium matching: Generative modeling with implicit energy-based models.arXiv preprint arXiv:2510.02300,

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:56.326855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:56.326855Z digest=sha256:07ce9cf5e09f20442ffd72bb92a115415a9e041ca7e3a23a2211410e4604c28f

Observation e141316b-02bf-4007-a89f-4c28ed4e4321 · outbound

This paper cites Dynamical computation of the density of states and Bayes factors using nonequilibrium importance sampling.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Dynamical computation of the density of states and Bayes factors using nonequilibrium importance sampling

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:16:57.614751Z

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=2026-08-07T00:16:56.042369Z digest=sha256:6f3190a7b2e7ac79242b469261d6abb1ddfddf07193831f29614822f33d587c3

Observation be91546a-7a79-43f6-96e9-f9d374cc5728 · outbound

This paper cites Learning Optimal Flows for Non-Equilibrium Importance Sampling.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Learning Optimal Flows for Non-Equilibrium Importance Sampling

Reference 2022

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T00:16:57.942015Z

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=2026-08-07T00:16:55.111520Z digest=sha256:695479233f964e12f778e47e30f3ada586cd2b7a6247c2cb364dd3bc1e4f15c6

Observation 0bff74ee-9cb0-47f8-a3b8-fe9db6ffd690 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:54.832776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:54.832776Z digest=sha256:5f2cd691505d233929030daaec8825c5fe169312debb3ee5f7d96852cc382ccc

Observation 9a9afcdd-7c6f-4ffe-900f-e70d2b221952 · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:55.622484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:55.622484Z digest=sha256:ee31795f7447cedd054bb34dadb12352b631077d5ac26d0d3cce88500abd6ed9

Observation 27eb65dc-2b6c-4206-89c5-5437d59cf5a9 · outbound

This paper cites One Step Diffusion via Shortcut Models.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps One Step Diffusion via Shortcut Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:55.240000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:55.240000Z digest=sha256:5aa4a63783153363babfd983b71758b6d564116edf5f911aec082705dd7e022c

Observation 9de1a864-f23b-47f4-8aed-a1a5063b682d · outbound

This paper cites Drifting relies on learning the fixed-point of a McKean-Vlasov dynamics, driving samples from measure µ0 to a target probability measureµ ∗ ast→ ∞.

Beckmann Transport Models: From Autonomous Flows to One-Step Maps Drifting relies on learning the fixed-point of a McKean-Vlasov dynamics, driving samples from measure µ0 to a target probability measureµ ∗ ast→ ∞

Reference 2026

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:16:58.688471Z

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=2026-08-07T00:16:57.100866Z digest=sha256:dafd9221132afb87065fe4c52951735a624baeac120e486fb807a6d185be5b8c

Pith citing papers

No inbound Pith citation observations are available.