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Paper Citation Record · LEDGER

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging

As of 3 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2605.06606.

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

pith.paper-citation-record.v1
2605.06606 v2

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T22:40:15.639935Z

measured 67 of 67 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 227eefe6-c385-4695-acf9-c0aa1d10e527 · outbound

This paper cites Collins and D.E.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Collins and D.E

Reference 1

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Observation 88987c33-fd83-4a00-9e13-5b22be1402fc · outbound

This paper cites Collins and D.E.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Collins and D.E

Reference 2

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Observation 21ae3a9a-d34e-4649-a64a-0805a234750e · outbound

This paper cites Collins, D.E.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Collins, D.E

Reference 3

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Observation 1253b816-4bbf-4102-be5a-8555caeebfe6 · outbound

This paper cites Collins-Soper Equation for the Energy Evolution of Transverse-Momentum and Spin Dependent Parton Distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Collins-Soper Equation for the Energy Evolution of Transverse-Momentum and Spin Dependent Parton Distributions

Reference 4

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local_arxiv, observed 2026-05-20T22:43:51.565026Z

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Observation 81f25260-382c-4374-8a56-00f986e8a78b · outbound

This paper cites Universality of soft and collinear factors in hard-scattering factorization.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Universality of soft and collinear factors in hard-scattering factorization

Reference 5

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local_arxiv, observed 2026-05-20T22:43:51.593112Z

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Observation bfaeff71-4566-4328-896f-34296a64a08d · outbound

This paper cites QCD Factorization for Semi-Inclusive Deep-Inelastic Scattering at Low Transverse Momentum.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging QCD Factorization for Semi-Inclusive Deep-Inelastic Scattering at Low Transverse Momentum

Reference 6

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Observation 7a9164c0-44f5-4f16-afce-183a585d380a · outbound

This paper cites Collins,Foundations of Perturbative QCD, vol.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Collins,Foundations of Perturbative QCD, vol

Reference 7

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Observation b93b6462-f8a4-424d-b6a7-041a3504bbc0 · outbound

This paper cites Factorization Theorem For Drell-Yan At Low q_T And Transverse-Momentum Distributions On-The-Light-Cone.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Factorization Theorem For Drell-Yan At Low q_T And Transverse-Momentum Distributions On-The-Light-Cone

Reference 8

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Observation 2af9fb7e-8dd3-4fff-9823-dd3305e28d3f · outbound

This paper cites The Transverse Momentum Dependent Fragmentation Function at NNLO.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging The Transverse Momentum Dependent Fragmentation Function at NNLO

Reference 9

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Observation 179e20ca-71d1-44ec-ae29-e40f06efe835 · outbound

This paper cites Piessens,The Hankel Transform, inThe Transforms and Applications Handbook, A.D.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Piessens,The Hankel Transform, inThe Transforms and Applications Handbook, A.D

Reference 10

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Observation 13290f52-a177-4a2c-a716-da6f4ed74ffd · outbound

This paper cites Tikhonov and V.Y.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Tikhonov and V.Y

Reference 11

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Observation ad0efb14-f322-46c2-b22f-bdaabb509e41 · outbound

This paper cites Groetsch,The Theory of Tikhonov Regularization for Fredholm Equations of the First Kind, Pitman, Boston (1984).

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Groetsch,The Theory of Tikhonov Regularization for Fredholm Equations of the First Kind, Pitman, Boston (1984)

Reference 12

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Observation 9d696284-d463-48b2-b185-0898e44c028b · outbound

This paper cites Cerutti and A.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Cerutti and A

Reference 13

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Observation 862f42ea-6784-45d6-add6-89b889e2fd3c · outbound

This paper cites Non-perturbative structure of semi-inclusive deep-inelastic and Drell-Yan scattering at small transverse momentum.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Non-perturbative structure of semi-inclusive deep-inelastic and Drell-Yan scattering at small transverse momentum

Reference 14

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Observation 038ae221-932b-4112-8f38-e4fc54c9a569 · outbound

This paper cites Extraction of unpolarized transverse momentum distributions from fit of Drell-Yan data at N$^4$LL.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Extraction of unpolarized transverse momentum distributions from fit of Drell-Yan data at N$^4$LL

Reference 15

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Observation 2afcce9e-6cce-4ea8-8c0b-225cbc36f555 · outbound

This paper cites Extraction of partonic transverse momentum distributions from semi-inclusive deep-inelastic scattering, Drell-Yan and Z-boson production.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Extraction of partonic transverse momentum distributions from semi-inclusive deep-inelastic scattering, Drell-Yan and Z-boson production

Reference 16

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correction dated 2019-06-14. Source: crossref record 10.1007/jhep06(2019)051->10.1007/jhep06(2017)081:correction, observed 2026-07-11T03:17:12.607958+00:00. This notice travels one citation hop only.

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Observation 3990a2f1-41dd-45ae-bfc6-c35619f3813e · outbound

This paper cites Unpolarized Transverse Momentum Distributions from a global fit of Drell-Yan and Semi-Inclusive Deep-Inelastic Scattering data.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Unpolarized Transverse Momentum Distributions from a global fit of Drell-Yan and Semi-Inclusive Deep-Inelastic Scattering data

Reference 17

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Observation 5f627ff7-5a64-4889-be89-188e44698460 · outbound

This paper cites Tomography of pions and protons via transverse momentum dependent distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Tomography of pions and protons via transverse momentum dependent distributions

Reference 18

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Observation 76c4a4d8-1945-48ae-a48b-eb91ade59101 · outbound

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TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Unresolved cited work

Reference 19

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Observation abf85d29-ee19-425f-8455-e97cef0d640d · outbound

This paper cites Camarda, G.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Camarda, G

Reference 20

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Observation c7ea0f23-3582-47a5-8301-be104e40ef85 · outbound

This paper cites Flavor dependence of unpolarized quark Transverse Momentum Distributions from a global fit.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Flavor dependence of unpolarized quark Transverse Momentum Distributions from a global fit

Reference 21

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Observation 8b074031-5c11-431f-b454-717349543b45 · outbound

This paper cites Exploring the three-dimensional momentum distribution of longitudinally polarized quarks in the proton.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Exploring the three-dimensional momentum distribution of longitudinally polarized quarks in the proton

Reference 22

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Observation 75d83b34-a043-45b8-b6d1-f1cea25f347c · outbound

This paper cites First Extraction of Transverse Momentum Dependent Helicity Distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging First Extraction of Transverse Momentum Dependent Helicity Distributions

Reference 23

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Observation 8f10d3cc-8d4f-4f50-937b-fee95a39de4b · outbound

This paper cites Transversity and Collins functions from SIDIS and e+e- data.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Transversity and Collins functions from SIDIS and e+e- data

Reference 24

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 4848c067-1f64-49fa-af82-d12bf70d0d96 · outbound

This paper cites Simultaneous extraction of transversity and Collins functions from new SIDIS and e+e- data.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Simultaneous extraction of transversity and Collins functions from new SIDIS and e+e- data

Reference 25

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation b5371c74-9d5b-47d5-a91e-e3d384dacafe · outbound

This paper cites First Extraction of Transversity from a Global Analysis of Electron-Proton and Proton-Proton Data.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging First Extraction of Transversity from a Global Analysis of Electron-Proton and Proton-Proton Data

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation b54917fc-9ad2-4a76-978b-dbaf084b23cb · outbound

This paper cites Origin of single transverse-spin asymmetries in high-energy collisions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Origin of single transverse-spin asymmetries in high-energy collisions

Reference 27

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Observation 37acc8c4-db3c-4c35-a199-a1bb1c8a84b0 · outbound

This paper cites Role of the Soffer bound in determination of transversity and the tensor charge.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Role of the Soffer bound in determination of transversity and the tensor charge

Reference 28

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 0adbd7f7-6263-4a60-ad7c-1d6ff8cefe3e · outbound

This paper cites Updated QCD global analysis of single transverse-spin asymmetries I: Extracting $\tilde{H}$, and the role of the Soffer bound and lattice QCD.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Updated QCD global analysis of single transverse-spin asymmetries I: Extracting $\tilde{H}$, and the role of the Soffer bound and lattice QCD

Reference 29

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 00ac7039-9478-4982-9ed2-ee453dd9dbe9 · outbound

This paper cites First simultaneous global QCD analysis of dihadron fragmentation functions and transversity parton distribution functions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging First simultaneous global QCD analysis of dihadron fragmentation functions and transversity parton distribution functions

Reference 30

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arxiv_id, observed 2026-05-20T22:43:51.455163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 6d9591eb-898a-42d3-8239-7ad3838f6c90 · outbound

This paper cites Transversity distributions and tensor charges of the nucleon: extraction from dihadron production and their universal nature.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Transversity distributions and tensor charges of the nucleon: extraction from dihadron production and their universal nature

Reference 31

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arxiv_id, observed 2026-05-20T22:43:51.450399Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 763442ed-cf4a-4fca-8591-e21e572fe5dc · outbound

This paper cites Simultaneous reweighting of Transverse Momentum Dependent distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Simultaneous reweighting of Transverse Momentum Dependent distributions

Reference 32

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arxiv_id, observed 2026-05-20T22:43:51.472282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 83ddf348-8b27-4b69-9b0f-3880b957ee2f · outbound

This paper cites Global analysis of Sivers and Collins asymmetries within the TMD factorization.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Global analysis of Sivers and Collins asymmetries within the TMD factorization

Reference 33

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arxiv_id, observed 2026-05-20T22:43:51.440208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 0fe2e983-e2bc-42d4-b0a4-039d1bb26afb · outbound

This paper cites Extraction of the Sivers function from SIDIS, Drell-Yan, and $W^\pm/Z$ boson production data with TMD evolution.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Extraction of the Sivers function from SIDIS, Drell-Yan, and $W^\pm/Z$ boson production data with TMD evolution

Reference 34

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arxiv_id, observed 2026-05-20T22:43:51.434090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation c7f38822-33d3-43d9-b953-62e6b1e369c5 · outbound

This paper cites Study of the sign change of the Sivers function from STAR Collaboration W/Z production data.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Study of the sign change of the Sivers function from STAR Collaboration W/Z production data

Reference 35

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local_arxiv, observed 2026-05-20T22:43:51.427618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 8a7fee1d-5ce3-48a5-aabc-2528de1e3ebe · outbound

This paper cites The three-dimensional distribution of quarks in momentum space.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging The three-dimensional distribution of quarks in momentum space

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:43:51.422892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:8dd1e12095a30b6790eb69a49cf0bf196ff1c1fc4dc4d77f10c0789a4816fd5a

Observation 6219e505-1e26-4bd3-81f6-6bfe96f6e557 · outbound

This paper cites Global analysis of the Sivers functions at NLO+NNLL in QCD.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Global analysis of the Sivers functions at NLO+NNLL in QCD

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:43:51.569650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:d56a41b9c0c62ca8816a7e3bc7fd1185096e4d692257d380f5d7bd6ec4534156

Observation 59e29d35-f849-491b-99cc-081ac4df3158 · outbound

This paper cites Assessing signals of TMD physics in SIDIS azimuthal asymmetries and in the extraction of the Sivers function.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Assessing signals of TMD physics in SIDIS azimuthal asymmetries and in the extraction of the Sivers function

Reference 38

Resolution
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local_arxiv, observed 2026-05-20T22:43:51.418055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:fcd462de2e52993a5e1c6de7af6de08b8fbf899f21b990633c4e5540ce21a7ca

Observation 160bf9e2-9d55-4949-80df-02fa958e5e4c · outbound

This paper cites Extraction of Pion Transverse Momentum Distributions from Drell-Yan data.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Extraction of Pion Transverse Momentum Distributions from Drell-Yan data

Reference 39

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.413828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:1fffe853651be86651ee1e39a1de705d88cc30b1736ca5cc7a3ccfb643e531fa

Observation 60392af3-1ed3-4851-a651-4d92fe9e3e76 · outbound

This paper cites New insights from the flavor dependence of quark transverse momentum distributions in the pion.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging New insights from the flavor dependence of quark transverse momentum distributions in the pion

Reference 40

Resolution
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arxiv_id, observed 2026-06-19T17:11:30.441597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation c5253ab1-0f6b-4dec-b3cf-fef4a6fa6f5f · outbound

This paper cites Factorization of $e^+e^- \to H \, X$ cross section, differential in $z_h$, $P_T$ and thrust, in the $2$-jet limit.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Factorization of $e^+e^- \to H \, X$ cross section, differential in $z_h$, $P_T$ and thrust, in the $2$-jet limit

Reference 41

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.409324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:e0b55eb6fe6d8a33b312156d725b299198d7ec93939e74fb472e47b3fc15b8f8

Observation b37a71ea-41de-4fab-964f-4cecf47a82b8 · outbound

This paper cites Creating and controlling exceptional points of non-Hermitian Hamiltonians via homodyne Lindbladian invariance.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Creating and controlling exceptional points of non-Hermitian Hamiltonians via homodyne Lindbladian invariance

Reference 42

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.398682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:549825d6b7068873812459bec98645d519ed4703e23b003e35bff82f03b6e496

Observation ed596efb-0e9a-4a2c-ac23-b2d44738276e · outbound

This paper cites Full treatment of the thrust distribution in single inclusive $e^+ e^- \to h \, X$ processes.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Full treatment of the thrust distribution in single inclusive $e^+ e^- \to h \, X$ processes

Reference 43

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.393404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:0bfe73a1c2fb87c8262536d26d4cc992281416f27e4555183795559214f73ffc

Observation 4f51e577-6f16-458a-b671-874c0dce760a · outbound

This paper cites Collins functions for pions from SIDIS and new e+e- data: a first glance at their transverse momentum dependence.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Collins functions for pions from SIDIS and new e+e- data: a first glance at their transverse momentum dependence

Reference 44

Resolution
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local_arxiv, observed 2026-05-20T22:43:51.499436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:3ca58ffc987ad47e4c7c87a7a5a28281d48856dce76213bba8f16cba51320883

Observation 7d370447-ebdd-4d59-a257-a537bcb62df0 · outbound

This paper cites Extraction of Quark Transversity Distribution and Collins Fragmentation Functions with QCD Evolution.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Extraction of Quark Transversity Distribution and Collins Fragmentation Functions with QCD Evolution

Reference 45

Resolution
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local_arxiv, observed 2026-05-20T22:43:51.422873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:ca296c330c072df097c2a275a1942ed35a8d15fb886b9f9c789655de95caabd9

Observation b15ae67b-6b57-4cea-9d98-084ab8ad521e · outbound

This paper cites Impossibility of $n-1$-strong-equllibrium for Distributed Consensus with Rational Agents.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Impossibility of $n-1$-strong-equllibrium for Distributed Consensus with Rational Agents

Reference 46

Resolution
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local_arxiv, observed 2026-05-20T22:43:51.280813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:653052202545943bd877a7358dbceefb74cd46a0bbc0746f8cb333e08ce19927

Observation 31a51672-dacf-4d54-b817-4f3d265c2259 · outbound

This paper cites First extraction of the $\Lambda$ polarising fragmentation function from Belle $e^+e^-$ data.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging First extraction of the $\Lambda$ polarising fragmentation function from Belle $e^+e^-$ data

Reference 47

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.413260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:ebcfa115c2466590b561bfb90b4e65f1418dc273e839b37372fa41b43c83e958

Observation fa404c7e-dd0f-47a8-a698-4dd5196033b2 · outbound

This paper cites Extracting the Transverse Momentum Dependent Polarizing Fragmentation Functions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Extracting the Transverse Momentum Dependent Polarizing Fragmentation Functions

Reference 48

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.372729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:4b3deeefb07aef5b1cadec1aad81ffa8f3660334c5ce1a1e70d1ffb14a38b7e1

Observation 6b1e4dbc-cc3b-4296-8740-fc6b91bfcf84 · outbound

This paper cites Transverse $\Lambda$ Polarization in $e^+ e^-$ collisions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Transverse $\Lambda$ Polarization in $e^+ e^-$ collisions

Reference 49

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.417683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 6532a96e-3f89-464b-b54f-cf1a5f3425bd · outbound

This paper cites Transverse $\Lambda$ polarization in $e^+e^-$ processes within a TMD factorization approach and the polarizing fragmentation function.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Transverse $\Lambda$ polarization in $e^+e^-$ processes within a TMD factorization approach and the polarizing fragmentation function

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:43:51.368074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:5e707753710280d04aa1a0ba5c72f9df631fe55cd188827c8d0610dff99a4d76

Observation 56ba4d17-10d2-4336-a2ad-6a9f4b52f716 · outbound

This paper cites Isospin Symmetry of Fragmentation Functions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Isospin Symmetry of Fragmentation Functions

Reference 51

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.363400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation cb284408-e29e-44dc-af65-0c0f95eb98ab · outbound

This paper cites Extraction of the Sivers function with deep neural networks.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Extraction of the Sivers function with deep neural networks

Reference 52

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.358262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 9aaa7540-90be-4c3b-9553-9e0799835da4 · outbound

This paper cites A Neural-Network Extraction of Unpolarised Transverse-Momentum-Dependent Distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging A Neural-Network Extraction of Unpolarised Transverse-Momentum-Dependent Distributions

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:43:51.445254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:b272620552a97ad93e1f5cc64ca8ca7b136102f49544cc1f676a086107f2447c

Observation 1cbc0186-0a10-4c27-81db-6d7dd480ac3d · outbound

This paper cites Deep Neural Network extraction of Unpolarized Transverse Momentum Distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Deep Neural Network extraction of Unpolarized Transverse Momentum Distributions

Reference 54

Resolution
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local_arxiv, observed 2026-05-20T22:43:51.449563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:498a4412e37ff045d1f8682e4baaeda2645e5659db92e8914f42512d546179e0

Observation 9cc613f6-9e69-4eb2-9e71-8af53e6cd921 · outbound

This paper cites AI-assisted modeling and Bayesian inference of unpolarized quark transverse momentum distributions from Drell-Yan data.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging AI-assisted modeling and Bayesian inference of unpolarized quark transverse momentum distributions from Drell-Yan data

Reference 55

Resolution
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local_arxiv, observed 2026-05-20T22:43:51.476236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:d7a5ff9af777e8658d506c316eea045d70c07420ec58e9aa288c9214a29935f9

Observation a7c66edc-6a7a-423e-b12f-eaa382fd6bff · outbound

This paper cites The deconvolution problem of deeply virtual Compton scattering.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging The deconvolution problem of deeply virtual Compton scattering

Reference 56

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.468011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation e540d0af-dfb4-4387-9704-2e3d640d1195 · outbound

This paper cites Shedding light on shadow generalized parton distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Shedding light on shadow generalized parton distributions

Reference 57

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.463880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:1357e0e78cb23f5d5066faff097f29cd2379c6b16141f7e761f4d9d55928f06c

Observation b3b582ba-3e89-4cc2-9aa2-d5a61c434ec4 · outbound

This paper cites Kernel methods for evolution of generalized parton distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Kernel methods for evolution of generalized parton distributions

Reference 58

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.324288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:6cf6599d2bc06d79ef209323f0daead453aa6dc782c64618aec3a09274ff3f81

Observation 808ed545-b413-40f5-a4ee-ab432e1ced36 · outbound

This paper cites A Higher Order Perturbative Parton Evolution Toolkit (HOPPET).

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging A Higher Order Perturbative Parton Evolution Toolkit (HOPPET)

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-20T22:43:51.547433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:5811f5b40d2d83f055915bb3fc8d05707b7e7ad30bd28fa75fa2916270c228eb

Observation 466f3710-f02c-43d5-bd16-cbb4ea029ab1 · outbound

This paper cites APFEL: A PDF Evolution Library with QED corrections.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging APFEL: A PDF Evolution Library with QED corrections

Reference 60

Resolution
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local_arxiv, observed 2026-05-20T22:43:51.527819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:e9006d3124e12169529e27d0b2cac2f8a3a0419af76c97048d2c301e1650cc50

Observation 742909b7-b3a5-4acc-a1f1-009be645affe · outbound

This paper cites One-loop evolution of twist-2 generalized parton distributions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging One-loop evolution of twist-2 generalized parton distributions

Reference 61

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.535700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:7905966ad0d587d85dd16e1da5675438f588e9b6c8f0d24768f140d684708b94

Observation a84a811c-f120-4174-b730-fbf4e84b8d9d · outbound

This paper cites Density estimation using Real NVP.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Density estimation using Real NVP

Reference 62

Resolution
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local_arxiv, observed 2026-05-20T22:43:51.520750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:d5f4f32606cb804bc02c644fc970da407aabdabe99bef2e1c6aa6dfa7587c312

Observation c2076451-ec20-4d6c-bd28-de3819e59214 · outbound

This paper cites Aster, B.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Aster, B

Reference 63

Resolution
verified exact
doi, observed 2026-05-20T22:43:49.756260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:c89c094326f2989ef79e3f94e054dd487a41962cb73e0a52dbd9b15c9072fe18

Observation a7eb3a59-746e-4f39-a81e-8e2b281a141f · outbound

This paper cites Barry et al.,First simultaneous analysis of transverse momentum dependent and collinear parton distributions in the proton,2510.13771.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Barry et al.,First simultaneous analysis of transverse momentum dependent and collinear parton distributions in the proton,2510.13771

Reference 64

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.516153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:50e4efc9fba784d50f40b52c01b98da0092fdc0d1a0cd72240f7f506e7919ea5

Observation 7bda78d1-1817-4582-8ed1-e50bcd2d2c79 · outbound

This paper cites Simultaneous Monte Carlo analysis of parton densities and fragmentation functions.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Simultaneous Monte Carlo analysis of parton densities and fragmentation functions

Reference 65

Resolution
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arxiv_id, observed 2026-05-20T22:43:51.540445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:a8f8ed63b5ec010fd74cdde9b7491958d95202a4d825be75409cc4376813c6a7

Observation 9ac3f836-97b3-4bc6-a0c1-fa747b1af8da · outbound

This paper cites TMD Parton Distribution and Fragmentation Functions with QCD Evolution.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging TMD Parton Distribution and Fragmentation Functions with QCD Evolution

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-20T22:43:51.498946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:b3fe75d7bd60f8a2cab4d295b9c3329d55328ad29a892b3269af580c0111b4d4

Observation d9348b43-b841-4333-b646-a0a423ced099 · outbound

This paper cites Semi-inclusive deep inelastic scattering at small transverse momentum.

TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging Semi-inclusive deep inelastic scattering at small transverse momentum

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-20T22:43:51.555638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-20T22:40:15.639935Z digest=sha256:6d1ae4358270d4a06ca146f00389406b459aaec89bddb5764d7054f8ea27ca60

Pith citing papers

No inbound Pith citation observations are available.