Paper Citation Record · LEDGER

Optimal Self-Distillation for Rectified Flow via Linear Probing

As of 15 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.14947.

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

pith.paper-citation-record.v1
2607.14947 v1

Coverage vector

measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T00:41:47.909250Z

measured 42 of 42 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation 98017e9c-c522-409a-bf5a-88c7b55cda44 · outbound

This paper cites Albergo and Eric Vanden-Eijnden.

Optimal Self-Distillation for Rectified Flow via Linear Probing Albergo and Eric Vanden-Eijnden

Reference 1

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Observation c5aad98a-ad13-4503-89dc-aca39007059d · outbound

This paper cites Baraniuk.

Optimal Self-Distillation for Rectified Flow via Linear Probing Baraniuk

Reference 2

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Observation d6419216-ffe6-4c0b-baa6-c5ab58a5c3e6 · outbound

This paper cites On the Convergence and Straightness of Rectified Flow.

Optimal Self-Distillation for Rectified Flow via Linear Probing On the Convergence and Straightness of Rectified Flow

Reference 3

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Observation ef0d2287-4756-45c5-b84c-9a4b3b609e8c · outbound

This paper cites Error bounds for flow matching methods.

Optimal Self-Distillation for Rectified Flow via Linear Probing Error bounds for flow matching methods

Reference 4

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Observation 84029c0c-3eb1-4a2e-b824-d850d3b17922 · outbound

This paper cites Nepotistically Trained Generative-AI Models Collapse.

Optimal Self-Distillation for Rectified Flow via Linear Probing Nepotistically Trained Generative-AI Models Collapse

Reference 5

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Observation 680f9b24-27fc-4587-a8b0-4c2d863221fa · outbound

This paper cites Optimal unconstrained self-distillation in ridge regression: Strict improvements, precise asymptotics, and one-shot tuning.

Optimal Self-Distillation for Rectified Flow via Linear Probing Optimal unconstrained self-distillation in ridge regression: Strict improvements, precise asymptotics, and one-shot tuning

Reference 6

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Observation 42782b07-c960-4e3b-8043-8f92ad33a120 · outbound

This paper cites Understanding Self-Distillation in the Presence of Label Noise.

Optimal Self-Distillation for Rectified Flow via Linear Probing Understanding Self-Distillation in the Presence of Label Noise

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:46.971638Z

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Observation 63eb674a-d6f4-4e2c-a7b2-cb94ebf164fd · outbound

This paper cites Implicit regularization paths of weighted neural representations.

Optimal Self-Distillation for Rectified Flow via Linear Probing Implicit regularization paths of weighted neural representations

Reference 8

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Observation d2663bd0-367c-438d-953a-97211f19b48d · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Optimal Self-Distillation for Rectified Flow via Linear Probing Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.083154Z

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Observation c1b7258f-4d2a-48e1-9c6d-d64c8df0c621 · outbound

This paper cites Bayesian knowledge distillation: A bayesian perspective of distillation with uncertainty quantification.

Optimal Self-Distillation for Rectified Flow via Linear Probing Bayesian knowledge distillation: A bayesian perspective of distillation with uncertainty quantification

Reference 10

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Observation c86a12fc-b3e9-4f1c-8a58-4120a2847b95 · outbound

This paper cites Towards Theoretical Understandings of Self-Consuming Generative Models.

Optimal Self-Distillation for Rectified Flow via Linear Probing Towards Theoretical Understandings of Self-Consuming Generative Models

Reference 11

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Observation 6e3bffac-286c-4cf0-92e7-54ef63efebf1 · outbound

This paper cites Born Again Neural Networks.

Optimal Self-Distillation for Rectified Flow via Linear Probing Born Again Neural Networks

Reference 12

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Observation e185542b-bdd3-4018-a0cb-392359007c8a · outbound

This paper cites Will Large-scale Generative Models Corrupt Future Datasets?.

Optimal Self-Distillation for Rectified Flow via Linear Probing Will Large-scale Generative Models Corrupt Future Datasets?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.510367Z

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Observation 7a8a8d7b-8c02-4340-b151-e26d5e490301 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Optimal Self-Distillation for Rectified Flow via Linear Probing Distilling the Knowledge in a Neural Network

Reference 14

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Observation 33fc3ec6-e131-4a2d-a80c-1221d033f8d4 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Optimal Self-Distillation for Rectified Flow via Linear Probing Classifier-Free Diffusion Guidance

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.724009Z

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Observation 4826f225-8a30-4c7d-b5fd-346d6fe28c28 · outbound

This paper cites Knowledge distillation in wide neural networks: Risk bound, data efficiency and imperfect teacher.

Optimal Self-Distillation for Rectified Flow via Linear Probing Knowledge distillation in wide neural networks: Risk bound, data efficiency and imperfect teacher

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.836529Z

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Observation b1a1c645-b4e7-4b28-adfb-2b08df7f3f14 · outbound

This paper cites Pyramidal flow matching for efficient video generative modeling.

Optimal Self-Distillation for Rectified Flow via Linear Probing Pyramidal flow matching for efficient video generative modeling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.842966Z

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Observation 1f4fdcf6-82dc-44a1-84f6-633a5ab69e89 · outbound

This paper cites Balanced conic rectified flow.

Optimal Self-Distillation for Rectified Flow via Linear Probing Balanced conic rectified flow

Reference 18

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Observation 5989b13a-a420-418d-9a55-617a81de4770 · outbound

This paper cites Dynamic Negative Guidance of Diffusion Models.

Optimal Self-Distillation for Rectified Flow via Linear Probing Dynamic Negative Guidance of Diffusion Models

Reference 19

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Observation 5c8b34bd-fec2-4385-adf4-0efd85f397f1 · outbound

This paper cites Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

Optimal Self-Distillation for Rectified Flow via Linear Probing Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.852613Z

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Observation 02bcab2f-d7b1-462a-b062-50ba2e73d25c · outbound

This paper cites Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale.

Optimal Self-Distillation for Rectified Flow via Linear Probing Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.855999Z

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Observation 83433347-241d-451d-b704-e25f04d82acc · outbound

This paper cites Flow Matching for Generative Modeling.

Optimal Self-Distillation for Rectified Flow via Linear Probing Flow Matching for Generative Modeling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.859266Z

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Observation f931b068-a373-4c89-8277-945fd2989d9a · outbound

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

Optimal Self-Distillation for Rectified Flow via Linear Probing Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.862762Z

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Observation 7f738c0d-85da-4e5c-9b98-14eab6d6e6d9 · outbound

This paper cites A Comprehensive Survey on Knowledge Distillation of Diffusion Models.

Optimal Self-Distillation for Rectified Flow via Linear Probing A Comprehensive Survey on Knowledge Distillation of Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.866012Z

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Observation 69d4a3e5-51e2-42ad-a805-9cdaaf923e46 · outbound

This paper cites Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?.

Optimal Self-Distillation for Rectified Flow via Linear Probing Combining Generative Artificial Intelligence (AI) and the Internet: Heading towards Evolution or Degradation?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.869267Z

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Observation d0321f80-28a1-4400-8008-192a9e52286e · outbound

This paper cites Self-Distillation Amplifies Regularization in Hilbert Space.

Optimal Self-Distillation for Rectified Flow via Linear Probing Self-Distillation Amplifies Regularization in Hilbert Space

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.872515Z

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Observation e3126bad-c1aa-4cc9-aa1d-736120002e4e · outbound

This paper cites Understanding the Gains from Repeated Self-Distillation.

Optimal Self-Distillation for Rectified Flow via Linear Probing Understanding the Gains from Repeated Self-Distillation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.875766Z

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Observation 5af86b29-131a-40d4-b5e7-68acdbd5d154 · outbound

This paper cites Tibshirani.

Optimal Self-Distillation for Rectified Flow via Linear Probing Tibshirani

Reference 28

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Observation 14cecbc4-937c-493d-abc4-4764b7c77786 · outbound

This paper cites Tibshirani.

Optimal Self-Distillation for Rectified Flow via Linear Probing Tibshirani

Reference 29

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Observation f1bfd25f-4d6c-4262-93a3-8f0b31d0e935 · outbound

This paper cites Towards Understanding Knowledge Distillation.

Optimal Self-Distillation for Rectified Flow via Linear Probing Towards Understanding Knowledge Distillation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.884586Z

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Observation 876f7c87-b398-405c-9862-6f93f27ed541 · outbound

This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

Optimal Self-Distillation for Rectified Flow via Linear Probing Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.887875Z

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Observation c99ca6e8-e62a-4c0d-bfae-34dde231b411 · outbound

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Optimal Self-Distillation for Rectified Flow via Linear Probing Unresolved cited work

Reference 32

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Observation 77d5a7a2-ec6f-45a7-a0bc-97f2b9a13708 · outbound

This paper cites On Kinetic Optimal Probability Paths for Generative Models.

Optimal Self-Distillation for Rectified Flow via Linear Probing On Kinetic Optimal Probability Paths for Generative Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.893768Z

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Observation e2305447-48d4-43e6-9f70-bcce9ce6fd28 · outbound

This paper cites AI models collapse when trained on recursively generated data.Nature, 631(8022): 755–759, 2024.

Optimal Self-Distillation for Rectified Flow via Linear Probing AI models collapse when trained on recursively generated data.Nature, 631(8022): 755–759, 2024

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:47.896837Z

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Observation 6c5a93f8-7aba-4f43-be67-5ceae21c2d70 · outbound

This paper cites Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective.

Optimal Self-Distillation for Rectified Flow via Linear Probing Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective

Reference 35

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Observation cfc779cf-36f6-43ce-b83e-e5ab6d00e4c1 · outbound

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

Optimal Self-Distillation for Rectified Flow via Linear Probing Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 36

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Observation 5154a53b-7df3-41eb-beaf-6592d61ecd9c · outbound

This paper cites Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation.

Optimal Self-Distillation for Rectified Flow via Linear Probing Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation

Reference 37

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Observation d437b9ec-4c96-4fe9-921c-b4cafd31d447 · outbound

This paper cites Analyzing and Mitigating Model Collapse in Rectified Flow Models.

Optimal Self-Distillation for Rectified Flow via Linear Probing Analyzing and Mitigating Model Collapse in Rectified Flow Models

Reference 38

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Observation 471187d8-1150-47f1-be0f-e4c1fe22a198 · outbound

This paper cites Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher.

Optimal Self-Distillation for Rectified Flow via Linear Probing Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher

Reference 2020

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Observation b21d8688-ee99-4c23-9b1d-04df5d876121 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Optimal Self-Distillation for Rectified Flow via Linear Probing Building Normalizing Flows with Stochastic Interpolants

Reference 2023

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Observation 7acc8a5e-7cb7-47d1-a0e6-a80737ac4f6a · outbound

This paper cites Self-Consuming Generative Models Go MAD.

Optimal Self-Distillation for Rectified Flow via Linear Probing Self-Consuming Generative Models Go MAD

Reference 2024

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Observation 3abc0611-0f4f-4fda-9f62-ba99d9cf0e32 · outbound

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Optimal Self-Distillation for Rectified Flow via Linear Probing Unresolved cited work

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T00:41:46.915987Z

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Pith citing papers

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