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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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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:e533a1a42867c7467144786a73c99021c0282bddcf03d15c1dff729c524e6146

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=sha256:271727b7ecd0cea1af37269693165fa6a3ab4391567cf976fa3fb153b804619b

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=sha256:6ca65c230ed50ea8b1d86d9357a315e7d37e476f98eb09e76cb6b3d4f46e1946

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:16:56.790477Z digest=sha256:7764b68203bbd419be078f800674a51016c3212ad043d57880d9c76662a4a77a

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:db43da1e838568a9d33f83bc342dd1ed9582e54e9e973442a2028d880a04a63b

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=sha256:9913fd7d79f5f0d04b88503f0429c6d45bd5f12bb4ac007a2ffada1abe355af2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:16:56.042369Z digest=sha256:d4430f80ebc1f1db401c4bcbbd802169468f23ca24b8cd91d6358c6a7064f83d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:16:55.111520Z digest=sha256:7cebda18758b615d3efebf8c4bbd1a3f65f544a32d4c8bb23262b314a6a25c0b

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=sha256:4d344385193c73669619ddf8d61deaf5b414563b31045125a3a569637d39633d

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=sha256:84adeef967cded21fe4a32545cb8d4d536b3467abd096234b8426588d20a9a6a

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:cbfe7c2e8c2fb86a7da6ff787a3ab36e8d9522b6ba0c6c30963652018438c3f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:16:57.100866Z digest=sha256:73f7e98db4849ceac5b3ee0a94a4e30a65cab89c2f01d0955c121b4671bc8c89

Pith citing papers

No inbound Pith citation observations are available.