Paper Citation Record · LEDGER

Measure-to-measure Regression with Transformers

As of 7 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2605.28075.

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

pith.paper-citation-record.v1
2605.28075 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T14:46:53.510044Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

38 of 38 outbound references displayed

verified exact20
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1bef63aa-c2dc-4ab7-800d-246a9c84d6e0 · outbound

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

Measure-to-measure Regression with Transformers Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.330083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 126ea353-53dd-41e2-ad99-9eaa529bfca8 · outbound

This paper cites Meta Optimal Transport.

Measure-to-measure Regression with Transformers Meta Optimal Transport

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.318319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1ebd693f-92cc-4442-94ab-579cb5424481 · outbound

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

Measure-to-measure Regression with Transformers Flow map matching with stochastic interpolants: A mathematical framework for consistency models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:53:31.324398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7799c5e3-d8be-4420-a228-19e4f7cb80c0 · outbound

This paper cites A Unified Perspective on the Dynamics of Deep Transformers.

Measure-to-measure Regression with Transformers A Unified Perspective on the Dynamics of Deep Transformers

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.340906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f71c74cb-94af-45ae-b82e-93c25b601361 · outbound

This paper cites Quantitative Clustering in Mean-Field Transformer Models.

Measure-to-measure Regression with Transformers Quantitative Clustering in Mean-Field Transformer Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.321126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3ed05067-ed33-4d99-8cc0-b7a3fff227f8 · outbound

This paper cites Generative Modeling via Drifting.

Measure-to-measure Regression with Transformers Generative Modeling via Drifting

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.306990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 07197684-ed9b-468f-80de-1abb8bfa1a31 · outbound

This paper cites Minibatch optimal transport distances; analysis and applications.

Measure-to-measure Regression with Transformers Minibatch optimal transport distances; analysis and applications

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.304488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8de837fe-2085-42f1-a2fb-391ac72df38b · outbound

This paper cites Generative distribution embeddings.arXiv preprint arXiv:2505.18150,.

Measure-to-measure Regression with Transformers Generative distribution embeddings.arXiv preprint arXiv:2505.18150,

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.327245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7e0ef90f-57f5-4e31-b591-c30ba23946f5 · outbound

This paper cites Distribution-conditioned transport.arXiv preprint arXiv:2603.04736,.

Measure-to-measure Regression with Transformers Distribution-conditioned transport.arXiv preprint arXiv:2603.04736,

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.315297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ae19ae0-a86a-476d-ba70-941e96fc954d · outbound

This paper cites Measure-to-measure interpolation using Transformers.

Measure-to-measure Regression with Transformers Measure-to-measure interpolation using Transformers

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-28T02:23:12.844056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 56ec8c77-f41f-454c-8e60-0eebf00684ea · outbound

This paper cites Transportation of Measure Regression in Higher Dimensions.

Measure-to-measure Regression with Transformers Transportation of Measure Regression in Higher Dimensions

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.344588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2835b6f2-4da9-4619-9da4-dd442b0c4f2a · outbound

This paper cites A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots.

Measure-to-measure Regression with Transformers A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.336780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d3cc0b66-9a72-4037-ba06-a0ffe82cccd5 · outbound

This paper cites A Brief Survey on the Approximation Theory for Sequence Modelling.

Measure-to-measure Regression with Transformers A Brief Survey on the Approximation Theory for Sequence Modelling

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.310092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 59499fc7-5c6f-45e5-8d0e-5f56f3b94c64 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Measure-to-measure Regression with Transformers Adam: A Method for Stochastic Optimization

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.272795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97ccb4cb-9abb-44af-a45c-b42e79cc0894 · outbound

This paper cites Continuous transformations of probability measures and their transport representations.

Measure-to-measure Regression with Transformers Continuous transformations of probability measures and their transport representations

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.275790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6fa8801c-7746-4ad7-b544-0a8091917221 · outbound

This paper cites Flow Matching for Generative Modeling.

Measure-to-measure Regression with Transformers Flow Matching for Generative Modeling

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.283851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b4b6cd66-d5f7-40e8-b37b-017bdb78afca · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Measure-to-measure Regression with Transformers Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.300179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 513ed503-2cc8-4610-8f14-ff46b723cd99 · outbound

This paper cites A class of markov processes associated with nonlinear parabolic equations.

Measure-to-measure Regression with Transformers A class of markov processes associated with nonlinear parabolic equations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da4b3708-c484-4d51-a5a6-540dddedf637 · outbound

This paper cites Wfr-fm: Simulation-free dynamic unbalanced optimal transport.arXiv preprint arXiv:2601.06810,.

Measure-to-measure Regression with Transformers Wfr-fm: Simulation-free dynamic unbalanced optimal transport.arXiv preprint arXiv:2601.06810,

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.294964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 935415be-8ff3-4773-9bce-4145c48713da · outbound

This paper cites Prompting a Pretrained Transformer Can Be a Universal Approximator.

Measure-to-measure Regression with Transformers Prompting a Pretrained Transformer Can Be a Universal Approximator

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:53:31.289287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2cfff8ed-3fef-4f01-9d4e-7497efe72897 · outbound

This paper cites Meta Flow Maps enable scalable reward alignment.

Measure-to-measure Regression with Transformers Meta Flow Maps enable scalable reward alignment

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T14:53:31.297418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5758d7c-a7fc-49e9-9454-9d0bc1652102 · outbound

This paper cites SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants.

Measure-to-measure Regression with Transformers SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.281238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 15420b7f-8649-4307-aaf3-ee601c42a9d0 · outbound

This paper cites Modeling microenvironment trajectories on spatial transcriptomics with nicheflow.arXiv preprint arXiv:2511.00977,.

Measure-to-measure Regression with Transformers Modeling microenvironment trajectories on spatial transcriptomics with nicheflow.arXiv preprint arXiv:2511.00977,

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.270545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0ee8fbc7-42c6-4fd7-8dc2-f23190427332 · outbound

This paper cites Towards Understanding the Universality of Transformers for Next-Token Prediction.

Measure-to-measure Regression with Transformers Towards Understanding the Universality of Transformers for Next-Token Prediction

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:53:31.278659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b54afaf7-0a43-4c38-9a12-70840e426896 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Measure-to-measure Regression with Transformers Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-29T14:53:31.286517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 08fe3080-15e3-4fb7-a097-f0a4b067d53a · outbound

This paper cites Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling.

Measure-to-measure Regression with Transformers Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:53:31.291948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1ea5273c-51a3-4016-a4e8-4d9b31ce48fe · outbound

This paper cites Tahoe-100m: A giga-scale single-cell perturbation atlas for context-dependent gene function and cellular modeling.BioRxiv, pages 2025–02,.

Measure-to-measure Regression with Transformers Tahoe-100m: A giga-scale single-cell perturbation atlas for context-dependent gene function and cellular modeling.BioRxiv, pages 2025–02,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 825b6062-416c-42fd-85ce-0b7804117f02 · outbound

This paper cites Learning gaussian mix- ture models via transformer measure flows.

Measure-to-measure Regression with Transformers Learning gaussian mix- ture models via transformer measure flows

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

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Observation 0095b5f2-6a95-48fb-acd0-6405c1ea3c9f · outbound

This paper cites an unresolved cited work.

Measure-to-measure Regression with Transformers Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc06bec0-8c6e-4009-aa3b-fe1175d2c759 · outbound

This paper cites We choose to treat these pairs as independent rather than employ complex solutions used for multi-marginal flow matching Rohbeck et al.

Measure-to-measure Regression with Transformers We choose to treat these pairs as independent rather than employ complex solutions used for multi-marginal flow matching Rohbeck et al

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa4e27c-d9a9-4c2a-a8f3-fbe9721feaf9 · outbound

This paper cites Statistics reported for each split.

Measure-to-measure Regression with Transformers Statistics reported for each split

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

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Observation 543beeb2-aaef-48f7-bf05-4491566b4ca9 · outbound

This paper cites maximum mean discrepancy (MMD).

Measure-to-measure Regression with Transformers maximum mean discrepancy (MMD)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1357c5-8d99-48be-a9ca-3ac4b6ae537d · outbound

This paper cites Computation of Losses.To compute distributional losses efficiently, we employ the Geometric Loss Functions package [Feydy et al., 2019].

Measure-to-measure Regression with Transformers Computation of Losses.To compute distributional losses efficiently, we employ the Geometric Loss Functions package [Feydy et al., 2019]

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

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Observation c23b86ad-f829-4182-b904-8c5cf8c90181 · outbound

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Measure-to-measure Regression with Transformers Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

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Unavailable: canonical work link unavailable.

Observation 563be224-6a6d-4068-8ff4-07fe37481611 · outbound

This paper cites an unresolved cited work.

Measure-to-measure Regression with Transformers Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

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Observation 1144ff44-c6ba-492a-8e70-64c2eed55694 · outbound

This paper cites The hyperparameters for Meta-FM are shown in table Table.

Measure-to-measure Regression with Transformers The hyperparameters for Meta-FM are shown in table Table

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

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Observation b65d5e80-2db9-422e-a471-b885191d11f4 · outbound

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Measure-to-measure Regression with Transformers Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-29T14:46:53.510044Z

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Unavailable: canonical work link unavailable.

Observation abd47c88-0d03-4e96-8978-bbb9d2978cac · outbound

This paper cites an unresolved cited work.

Measure-to-measure Regression with Transformers Unresolved cited work

Reference 38

Resolution: malformed identifier; no resolver link, observed 2026-06-29T14:46:53.510044Z

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Pith citing papers

No inbound Pith citation observations are available.