Paper Citation Record · LEDGER

Diffusion models and stochastic quantisation in lattice field theory

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2412.13704.

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

pith.paper-citation-record.v1
2412.13704 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:56:01.023850Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T22:24:51.990184Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T22:27:49.570313Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy2
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d85cbb75-a198-44ea-8e20-8b4037eb459c · outbound

This paper cites Applications of Machine Learning to Lattice Quantum Field Theory.

Diffusion models and stochastic quantisation in lattice field theory Applications of Machine Learning to Lattice Quantum Field Theory

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.534122Z

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Observation 6c8ab0c5-1e64-4943-9d5e-a628111e8e7b · outbound

This paper cites Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics.

Diffusion models and stochastic quantisation in lattice field theory Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.546515Z

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Observation a0c63149-acdf-49ca-86a1-90fdf4889f74 · outbound

This paper cites Flow-based sampling for lattice field theories.

Diffusion models and stochastic quantisation in lattice field theory Flow-based sampling for lattice field theories

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.560435Z

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Observation 3a129774-5f24-4c0f-8f7c-ae4175d17c9d · outbound

This paper cites Duane, A.D.

Diffusion models and stochastic quantisation in lattice field theory Duane, A.D

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.568155Z

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Observation 0fccec41-6bb1-4ddf-a410-cb74dac19fe0 · outbound

This paper cites Flow-based generative models for Markov chain Monte Carlo in lattice field theory.

Diffusion models and stochastic quantisation in lattice field theory Flow-based generative models for Markov chain Monte Carlo in lattice field theory

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.588800Z

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Observation 9c461659-5f24-406c-9afe-29abc2600a79 · outbound

This paper cites Equivariant flow-based sampling for lattice gauge theory.

Diffusion models and stochastic quantisation in lattice field theory Equivariant flow-based sampling for lattice gauge theory

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.595135Z

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Observation af661fa5-17fd-4728-b0df-dda32df9c01d · outbound

This paper cites Variational Inference with Normalizing Flows.

Diffusion models and stochastic quantisation in lattice field theory Variational Inference with Normalizing Flows

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.601662Z

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Observation 83e676f2-0b76-461a-bc48-deea08680f21 · outbound

This paper cites Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems with Deep Learning.

Diffusion models and stochastic quantisation in lattice field theory Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems with Deep Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.616054Z

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Observation e352c404-1891-4045-83b3-1cd2b973e88f · outbound

This paper cites Asymptotically unbiased estimation of physical observables with neural samplers.

Diffusion models and stochastic quantisation in lattice field theory Asymptotically unbiased estimation of physical observables with neural samplers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.639379Z

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Observation ffe3376c-0347-43ef-a1f8-3d895f67910b · outbound

This paper cites Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models.

Diffusion models and stochastic quantisation in lattice field theory Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.649961Z

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Observation df4834dd-b6c6-40ec-b038-e5edf48f05d6 · outbound

This paper cites Efficient Modelling of Trivializing Maps for Lattice $\phi^4$ Theory Using Normalizing Flows: A First Look at Scalability.

Diffusion models and stochastic quantisation in lattice field theory Efficient Modelling of Trivializing Maps for Lattice $\phi^4$ Theory Using Normalizing Flows: A First Look at Scalability

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.660509Z

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Observation 4bc357d3-a9c7-4700-a35c-ece6a9265c93 · outbound

This paper cites Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories.

Diffusion models and stochastic quantisation in lattice field theory Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.668762Z

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Observation b3299054-cfe1-4cc4-a7a1-d4202042a7ff · outbound

This paper cites Neural Ordinary Differential Equations.

Diffusion models and stochastic quantisation in lattice field theory Neural Ordinary Differential Equations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.681063Z

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Observation de22ac82-3c93-4755-a269-bcf1c43e9061 · outbound

This paper cites Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows.

Diffusion models and stochastic quantisation in lattice field theory Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.689112Z

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Observation 4249c32b-13d3-4e53-86c8-0f60043ce8b2 · outbound

This paper cites Learning Lattice Quantum Field Theories with Equivariant Continuous Flows.

Diffusion models and stochastic quantisation in lattice field theory Learning Lattice Quantum Field Theories with Equivariant Continuous Flows

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.697412Z

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Observation 136c3b7d-054a-4946-b6b4-cc2d2752fc94 · outbound

This paper cites Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows.

Diffusion models and stochastic quantisation in lattice field theory Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.709802Z

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Observation 60f8b060-8d19-4165-a6ae-a0369569b49a · outbound

This paper cites Stochastic Normalizing Flows.

Diffusion models and stochastic quantisation in lattice field theory Stochastic Normalizing Flows

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.740285Z

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Observation 7061e1fb-fef1-49ec-8711-f2b1a6ab2383 · outbound

This paper cites Stochastic normalizing flows as non-equilibrium transformations.

Diffusion models and stochastic quantisation in lattice field theory Stochastic normalizing flows as non-equilibrium transformations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.764430Z

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Observation 7e0a53e3-e25f-4348-8e0c-75c44f35776c · outbound

This paper cites an unresolved cited work.

Diffusion models and stochastic quantisation in lattice field theory Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:56:02.503808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4c931e54-0d48-4a17-b813-8fa97be3422e · outbound

This paper cites Diffusion Models as Stochastic Quantization in Lattice Field Theory.

Diffusion models and stochastic quantisation in lattice field theory Diffusion Models as Stochastic Quantization in Lattice Field Theory

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.788531Z

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Observation f99936b5-c090-4039-ae54-aa1b42e3f7ae · outbound

This paper cites Generative Diffusion Models for Lattice Field Theory.

Diffusion models and stochastic quantisation in lattice field theory Generative Diffusion Models for Lattice Field Theory

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.800298Z

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Observation 055bfebb-a397-4a88-a859-bdd82279635a · outbound

This paper cites Diffusion models for lattice gauge field simulations.

Diffusion models and stochastic quantisation in lattice field theory Diffusion models for lattice gauge field simulations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.814013Z

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Observation ca2e1137-010e-4aff-bcbe-4ac6b3517f6f · outbound

This paper cites On learning higher-order cumulants in diffusion models.

Diffusion models and stochastic quantisation in lattice field theory On learning higher-order cumulants in diffusion models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.829692Z

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Observation efc0b13c-7ca8-4fb6-a936-fbad37528b9a · outbound

This paper cites Diffusion models learn distributions generated by complex Langevin dynamics.

Diffusion models and stochastic quantisation in lattice field theory Diffusion models learn distributions generated by complex Langevin dynamics

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.840460Z

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Observation cae36ede-8f33-4acc-a668-0f36debedbac · outbound

This paper cites Understanding Diffusion Models by Feynman's Path Integral.

Diffusion models and stochastic quantisation in lattice field theory Understanding Diffusion Models by Feynman's Path Integral

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.855072Z

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Observation 1de8389c-26c3-4043-9801-a07b5db7484b · outbound

This paper cites Stochastic quantization and diffusion models.

Diffusion models and stochastic quantisation in lattice field theory Stochastic quantization and diffusion models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.863776Z

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Observation 0df1f535-8059-4619-aee0-1c042e5398a7 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Diffusion models and stochastic quantisation in lattice field theory Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.890615Z

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Observation 5adb9aff-2aec-447d-833e-20d9d703ac0f · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Diffusion models and stochastic quantisation in lattice field theory High-Resolution Image Synthesis with Latent Diffusion Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.919551Z

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Observation 5257de63-3da7-4016-ba3f-053ce30851eb · outbound

This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.

Diffusion models and stochastic quantisation in lattice field theory Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.927147Z

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Observation ae409dbd-8b80-4a14-9f18-7d5ad4f5ff02 · outbound

This paper cites an unresolved cited work.

Diffusion models and stochastic quantisation in lattice field theory Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:56:02.476985Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 404efe57-f3d6-4184-8296-443b004b5479 · outbound

This paper cites Damgaard and H.

Diffusion models and stochastic quantisation in lattice field theory Damgaard and H

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:02.446826Z

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Observation cbc44882-25aa-4863-acd8-df6778972f85 · outbound

This paper cites Towards learning optimized kernels for complex Langevin.

Diffusion models and stochastic quantisation in lattice field theory Towards learning optimized kernels for complex Langevin

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.957805Z

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Observation da793c72-da22-483b-964f-ee1dc237e1ea · outbound

This paper cites Sampling using $SU(N)$ gauge equivariant flows.

Diffusion models and stochastic quantisation in lattice field theory Sampling using $SU(N)$ gauge equivariant flows

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.965124Z

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Observation 959c5dda-f07f-474a-a940-0147cdd583d4 · outbound

This paper cites Lattice gauge equivariant convolutional neural networks.

Diffusion models and stochastic quantisation in lattice field theory Lattice gauge equivariant convolutional neural networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:00.982786Z

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Observation 51e51a75-a29d-40c1-b37e-865eb11207dd · outbound

This paper cites Parisi,On complex probabilities, Physics Letters B131(1983) 393.

Diffusion models and stochastic quantisation in lattice field theory Parisi,On complex probabilities, Physics Letters B131(1983) 393

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:56:02.413734Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5884191a-2391-46cb-89f3-fdbb5435b48b · outbound

This paper cites Stochastic quantization at finite chemical potential.

Diffusion models and stochastic quantisation in lattice field theory Stochastic quantization at finite chemical potential

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:01.007604Z

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Observation b06979dc-a942-4810-a735-28f075bcca17 · outbound

This paper cites Gauge cooling in complex Langevin for QCD with heavy quarks.

Diffusion models and stochastic quantisation in lattice field theory Gauge cooling in complex Langevin for QCD with heavy quarks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:01.013530Z

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Observation 9cb9906c-ee73-48ea-8464-b1a3dfd78cea · outbound

This paper cites Introductory lectures on lattice QCD at nonzero baryon number.

Diffusion models and stochastic quantisation in lattice field theory Introductory lectures on lattice QCD at nonzero baryon number

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T12:56:01.023850Z

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Pith citing papers

Observation cd855408-cdc0-467b-9ccb-65d309648011 · inbound

Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model cites this paper.

Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model Diffusion models and stochastic quantisation in lattice field theory

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:27:49.571575Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.