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Paper Citation Record · LEDGER

Generalization and Memorization in Rectified Flow

As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2603.13421.

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

pith.paper-citation-record.v1
2603.13421 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-15T12:03:26.994509Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T18:35:15.196183Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T22:57:26.194450Z

Reference resolution

50 of 50 outbound references displayed

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  • verified fuzzy0
  • unresolved50
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation b8b59ff1-76f4-4eb8-8289-752d3cb0a843 · outbound

This paper cites In: Proceedings of the 2016 ACM SIGSAC conference on computer and communications security.

Generalization and Memorization in Rectified Flow In: Proceedings of the 2016 ACM SIGSAC conference on computer and communications security

Reference 1

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Observation 432e6d95-0570-4d30-896a-0db737b5b27d · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Generalization and Memorization in Rectified Flow Building Normalizing Flows with Stochastic Interpolants

Reference 2

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Observation 3b4dc627-057f-49e2-af1e-9ff37750c456 · outbound

This paper cites arXiv preprint arXiv:2505.17638 (2025).

Generalization and Memorization in Rectified Flow arXiv preprint arXiv:2505.17638 (2025)

Reference 3

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Observation ff32995d-7f45-46d5-af1e-959fba907377 · outbound

This paper cites Advances in neural information processing systems34, 27916–27928 (2021).

Generalization and Memorization in Rectified Flow Advances in neural information processing systems34, 27916–27928 (2021)

Reference 4

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Observation 1d88576a-46a0-487e-9ed8-76734a455589 · outbound

This paper cites In: 2022 IEEE symposium on security and privacy (SP).

Generalization and Memorization in Rectified Flow In: 2022 IEEE symposium on security and privacy (SP)

Reference 5

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Observation 4ba07180-7680-449a-bdd5-3bf578393a8b · outbound

This paper cites In: 32nd USENIX security symposium (USENIX Security 23).

Generalization and Memorization in Rectified Flow In: 32nd USENIX security symposium (USENIX Security 23)

Reference 6

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Observation 861e0aa5-d625-453c-a3f2-fd08e0c89ab5 · outbound

This paper cites In: 2009 IEEE conference on com- puter vision and pattern recognition.

Generalization and Memorization in Rectified Flow In: 2009 IEEE conference on com- puter vision and pattern recognition

Reference 7

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Observation 899e4730-fe83-4cbe-bd77-843af6be2804 · outbound

This paper cites Differentially Private Diffusion Models.

Generalization and Memorization in Rectified Flow Differentially Private Diffusion Models

Reference 8

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source=pdf_text observed=2026-07-15T12:03:26.994509Z digest=sha256:61e2eb939cfa7f99fef97a58c6bd4b1be20c5edb12056ed09c4c3f1a977f9843

Observation 707d0e44-7cb4-46e1-bd6d-090ce0e89b1e · outbound

This paper cites an unresolved cited work.

Generalization and Memorization in Rectified Flow Unresolved cited work

Reference 9

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Observation 47c429e5-96b7-4c5f-bcd4-9a741934bd89 · outbound

This paper cites In: Forty-first international confer- ence on machine learning (2024).

Generalization and Memorization in Rectified Flow In: Forty-first international confer- ence on machine learning (2024)

Reference 10

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Observation 9bc45d16-8075-40d5-a92b-abce13a7548e · outbound

This paper cites In: Proceedings of the 22nd ACM SIGSAC conference on computer and communications security.

Generalization and Memorization in Rectified Flow In: Proceedings of the 22nd ACM SIGSAC conference on computer and communications security

Reference 11

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Observation 4f237975-9a9d-47d9-9691-ec4089281ecd · outbound

This paper cites A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models.

Generalization and Memorization in Rectified Flow A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models

Reference 12

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Observation 78b248fa-4f37-43fc-ad05-072e51241d21 · outbound

This paper cites Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models.

Generalization and Memorization in Rectified Flow Likelihood-based Out-of-Distribution Detection with Denoising Diffusion Probabilistic Models

Reference 13

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Observation de3a3eb3-a8ff-4a50-8a4a-cbeafbc0e23e · outbound

This paper cites FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.

Generalization and Memorization in Rectified Flow FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 14

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Observation 94c4298a-8dcc-4da9-9e16-1677eaff9a21 · outbound

This paper cites On Memorization in Diffusion Models.

Generalization and Memorization in Rectified Flow On Memorization in Diffusion Models

Reference 15

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Observation abff22e8-5bb8-4961-93da-3360290a261c · outbound

This paper cites LOGAN: Membership Inference Attacks Against Generative Models.

Generalization and Memorization in Rectified Flow LOGAN: Membership Inference Attacks Against Generative Models

Reference 16

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Observation 27efa6cf-d85d-4d12-bd5b-cea245e3267f · outbound

This paper cites Ad- vances in neural information processing systems33, 6840–6851 (2020).

Generalization and Memorization in Rectified Flow Ad- vances in neural information processing systems33, 6840–6851 (2020)

Reference 17

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Observation 33a9dcc4-fe42-40e8-9d00-99400762bcd2 · outbound

This paper cites Generalization in diffusion models arises from geometry-adaptive harmonic representations.

Generalization and Memorization in Rectified Flow Generalization in diffusion models arises from geometry-adaptive harmonic representations

Reference 18

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Observation 09b92f5a-77f0-45e4-89eb-f8c40d79541b · outbound

This paper cites Advances in neural information process- ing systems35, 26565–26577 (2022).

Generalization and Memorization in Rectified Flow Advances in neural information process- ing systems35, 26565–26577 (2022)

Reference 19

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Observation ca796335-3635-407c-af29-d7e0fb901839 · outbound

This paper cites Auto-Encoding Variational Bayes.

Generalization and Memorization in Rectified Flow Auto-Encoding Variational Bayes

Reference 20

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Observation d7e37aa4-677a-482f-83a4-f2b65476eae3 · outbound

This paper cites Advances in neural information processing systems31(2018).

Generalization and Memorization in Rectified Flow Advances in neural information processing systems31(2018)

Reference 21

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Observation 8e97f97a-e1fa-4d5e-838f-1be3e646da47 · outbound

This paper cites An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization.

Generalization and Memorization in Rectified Flow An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization

Reference 22

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Observation 0f3290eb-ff87-47e8-88d0-118c205ccf41 · outbound

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Generalization and Memorization in Rectified Flow Unresolved cited work

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Observation e7b54928-5229-442b-b19b-4fdd6947ce05 · outbound

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Generalization and Memorization in Rectified Flow Unresolved cited work

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Observation b8dbc48b-f8a6-4ba7-849b-049551d27938 · outbound

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Generalization and Memorization in Rectified Flow Unresolved cited work

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Observation f115dfc2-dcae-4d4a-bbca-b75b088e65fd · outbound

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Generalization and Memorization in Rectified Flow Unresolved cited work

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Observation ce4b83e5-f694-43ea-b361-944efd421340 · outbound

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Generalization and Memorization in Rectified Flow Unresolved cited work

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Observation 99b89e82-00a9-497a-8b35-5ecce7fcc0a7 · outbound

This paper cites Advances in Neural Information Processing Systems36, 2097– 2127 (2023).

Generalization and Memorization in Rectified Flow Advances in Neural Information Processing Systems36, 2097– 2127 (2023)

Reference 28

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Observation be95f74d-d14a-4a6f-a21b-d09a57cecc87 · outbound

This paper cites Advances in neural information processing systems37, 57499–57538 (2024).

Generalization and Memorization in Rectified Flow Advances in neural information processing systems37, 57499–57538 (2024)

Reference 29

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Observation ce5128d8-2fcb-4dd5-a54f-3fa6a740ae53 · outbound

This paper cites Flow Matching for Generative Modeling.

Generalization and Memorization in Rectified Flow Flow Matching for Generative Modeling

Reference 30

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Observation d6da6a09-8f5b-4bec-ac0d-a8aadfb0c248 · outbound

This paper cites Flow Matching Guide and Code.

Generalization and Memorization in Rectified Flow Flow Matching Guide and Code

Reference 31

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Observation b740b4ff-ada6-4b01-8b84-dbcd5ac3b29d · outbound

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

Generalization and Memorization in Rectified Flow Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 32

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Observation 11b5f7eb-cf74-4868-82e5-b230721cb74a · outbound

This paper cites arXiv preprint arXiv:2509.09672 (2025).

Generalization and Memorization in Rectified Flow arXiv preprint arXiv:2509.09672 (2025)

Reference 33

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Observation 143677a2-4910-46d9-96ec-5bd99747c0d1 · outbound

This paper cites Do Deep Generative Models Know What They Don't Know?.

Generalization and Memorization in Rectified Flow Do Deep Generative Models Know What They Don't Know?

Reference 34

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Observation 186a334a-dcca-4941-aa8e-ff5ea9ca6ae3 · outbound

This paper cites In: NIPS workshop on deep learning and unsupervised feature learning.

Generalization and Memorization in Rectified Flow In: NIPS workshop on deep learning and unsupervised feature learning

Reference 35

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Observation 1aa156cf-3b68-4e4c-b329-2290513fc2d2 · outbound

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

Generalization and Memorization in Rectified Flow Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 36

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Observation 27329968-d637-4a82-a4f6-b982eadbe0f3 · outbound

This paper cites arXiv preprint arXiv:2511.20592 (2025).

Generalization and Memorization in Rectified Flow arXiv preprint arXiv:2511.20592 (2025)

Reference 37

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Observation e20ac427-6dc9-42a0-bd09-1e8ea7039178 · outbound

This paper cites Score-based Membership Inference on Diffusion Models.

Generalization and Memorization in Rectified Flow Score-based Membership Inference on Diffusion Models

Reference 38

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Observation 4a123328-83b0-4a06-bbb3-506bb2a8baee · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Generalization and Memorization in Rectified Flow In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

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This paper cites Input complexity and out-of-distribution detection with likelihood-based generative models.

Generalization and Memorization in Rectified Flow Input complexity and out-of-distribution detection with likelihood-based generative models

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This paper cites Advances in neural information processing systems32 (2019).

Generalization and Memorization in Rectified Flow Advances in neural information processing systems32 (2019)

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Generalization and Memorization in Rectified Flow Score-Based Generative Modeling through Stochastic Differential Equations

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

Generalization and Memorization in Rectified Flow Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 43

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This paper cites Differentially Private Learning Needs Better Features (or Much More Data).

Generalization and Memorization in Rectified Flow Differentially Private Learning Needs Better Features (or Much More Data)

Reference 44

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Generalization and Memorization in Rectified Flow Unresolved cited work

Reference 45

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This paper cites Research in the Mathematical Sciences9(1), 8 (2022).

Generalization and Memorization in Rectified Flow Research in the Mathematical Sciences9(1), 8 (2022)

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This paper cites In: Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition.

Generalization and Memorization in Rectified Flow In: Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition

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This paper cites In: ICML 2023 workshop on struc- tured probabilistic inference{\&}generative modeling (2023).

Generalization and Memorization in Rectified Flow In: ICML 2023 workshop on struc- tured probabilistic inference{\&}generative modeling (2023)

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Observation 9e8e7a4f-a116-405c-9e2c-59b8829708f6 · outbound

This paper cites Advances in Neural Information Processing Systems37, 74122–74146 (2024) 20 M.

Generalization and Memorization in Rectified Flow Advances in Neural Information Processing Systems37, 74122–74146 (2024) 20 M

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Observation 747f0dca-6395-4458-b329-d9049318242c · outbound

This paper cites B Training/val Loss Gap in Recitified Flow As shown in Fig.

Generalization and Memorization in Rectified Flow B Training/val Loss Gap in Recitified Flow As shown in Fig

Reference 50

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Pith citing papers

Observation 3d0f29d8-7574-45ee-bb9b-ba7db8c5906f · inbound

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models cites this paper.

A Theoretical Analysis of Memory and Overfitting Phenomena in Stochastic Interpolation Models Generalization and Memorization in Rectified Flow

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