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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:a44274cc8fa8af147c82408a7c8dfdcd7d0e53a6dc841caac697b137c02fa479

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=sha256:23a202b9d82611bbba567fbe215cca8016f6207eca5c3c4782273181b69b86ed

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=sha256:87c8b3ffc97247e7af923617efbb97e28a3f52e8e4e62975ce8d7187808c721a

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=sha256:783bc65935fba1290fd1eb96bcf2daff3c8c8836544cfbcedc23fdf966f4076a

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:ba8217cf4bb9cca8d7aaa6232514ebead0b1758efe98d6413eb95be907bd1e99

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:e1646fe0fd5c9d8a69388059ae57335edcbe6762d656cd8915020fbe8892d62a

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:c7d1835b8da908a25f0d305e98a690abe09992cfa19a1eb6cfe9c0de093d2d39

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=sha256:4e9dd8b6c5512ae76c3b91b0110a268f2cff957277745ea29e7119b53c669bef

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=sha256:21c709ec23fb40721ff44d9c5dbf625afc1fd43820c3b6df8e1e7e7eef83ea8d

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=sha256:8e9706e3d35f070af1bcf6df0e5ec7c0e3f1035928ffa8d2c298877ad27fa507

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=sha256:3c70acea020e3766d7a395b6cb54a08a0611c04e3f2d681684810311e778e7e3

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=sha256:5f9f5ee6bf6fd74ec7e374b831836cd835b8318739d11bbda4e3cc86afc41344

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:a486d32aecce048ed86a30e1b7b7e619369717897c250e00a63c2d6b24862660

Pith citing papers

No inbound Pith citation observations are available.