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Paper Citation Record · LEDGER

High-Dimensional Unfolding in Large Backgrounds

As of 7 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 1 inbound Pith citation observation for arXiv:2507.06291.

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

pith.paper-citation-record.v1
2507.06291 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:56.844499Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:29:53.413939Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:29:54.096358Z

Reference resolution

85 of 85 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved77
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d276c02d-2574-420d-ace4-555d57c1a12d · outbound

This paper cites Towards Jetography.

High-Dimensional Unfolding in Large Backgrounds Towards Jetography

Reference 1

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source=pdf_text observed=2026-08-06T19:14:49.138351Z digest=sha256:a8b6521a836545d6de5b0c5328e739a9b7fc021640391c716148cdb830547bd4

Observation 2030633e-7c0e-4fe7-954d-f9bd69a65739 · outbound

This paper cites Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning.

High-Dimensional Unfolding in Large Backgrounds Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning

Reference 2

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source=pdf_text observed=2026-08-06T19:14:49.241822Z digest=sha256:0af803e6a47bfa60373754c1c6ec9eab4a2fb6c0be5b4fc8d0eb67e03aa1c0fc

Observation fe6a34f8-d769-4e7d-a13d-a2e76e40c7fa · outbound

This paper cites Marzani, G.

High-Dimensional Unfolding in Large Backgrounds Marzani, G

Reference 3

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source=pdf_text observed=2026-08-06T19:14:49.355624Z digest=sha256:1390699d1358f8d8cb575579f1bc3c34228816efad60cfdbd2d99a75ee299027

Observation 2c17fa68-e917-4095-a7ae-c3d531658343 · outbound

This paper cites Jet Substructure at the Large Hadron Collider: Experimental Review.

High-Dimensional Unfolding in Large Backgrounds Jet Substructure at the Large Hadron Collider: Experimental Review

Reference 4

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source=pdf_text observed=2026-08-06T19:14:49.443870Z digest=sha256:6feb1ba803dcfc6b5fc4aa49a8558e6c65a235a5e21d1b806b24088377370cc2

Observation a2cd8b21-e697-4363-aa7f-b231a9b01a76 · outbound

This paper cites Jet quenching.

High-Dimensional Unfolding in Large Backgrounds Jet quenching

Reference 5

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no resolver link, observed 2026-08-06T19:14:49.526635Z

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source=pdf_text observed=2026-08-06T19:14:49.526635Z digest=sha256:b203738dc5c92eff714c3b49e83af11cdafc75fe5535d42b9fad6fb49ca9470d

Observation 985971c1-45f9-4777-b6cd-481c109420a9 · outbound

This paper cites Review of Jet Measurements in Heavy Ion Collisions.

High-Dimensional Unfolding in Large Backgrounds Review of Jet Measurements in Heavy Ion Collisions

Reference 6

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no resolver link, observed 2026-08-06T19:14:49.667857Z

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source=pdf_text observed=2026-08-06T19:14:49.667857Z digest=sha256:868c4c723090de26511b277e26c1d8e65dcf16638cf00cd1fadd70a2c82b8589

Observation 5bb00c94-237d-424d-8335-abc0aabf173a · outbound

This paper cites Studying the QGP with Jets at the LHC and RHIC.

High-Dimensional Unfolding in Large Backgrounds Studying the QGP with Jets at the LHC and RHIC

Reference 7

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source=pdf_text observed=2026-08-06T19:14:49.794450Z digest=sha256:df7980820e1b83570b7e0a59774402fc70e05b4dca9f5585dc65e483f5b7ef5d

Observation a795a0e8-81c0-4373-8f7c-417453d85b90 · outbound

This paper cites Zurbano Fernandez et al.,High-Luminosity Large Hadron Collider (HL-LHC): Technical design report,.

High-Dimensional Unfolding in Large Backgrounds Zurbano Fernandez et al.,High-Luminosity Large Hadron Collider (HL-LHC): Technical design report,

Reference 8

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source=pdf_text observed=2026-08-06T19:14:49.890137Z digest=sha256:7b72a4c1c2ec364bf6e39953b4a33d9d63c4101175203e26ab38eaa0f2a7f403

Observation cc0bd47f-cc92-4ae7-98d9-96b624f6ead9 · outbound

This paper cites Pileup subtraction using jet areas.

High-Dimensional Unfolding in Large Backgrounds Pileup subtraction using jet areas

Reference 9

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source=pdf_text observed=2026-08-06T19:14:50.010294Z digest=sha256:9af56d5bfc0c5c289703927edebd906c4d58dff5a29cd5b0de102779838a8e8b

Observation d436fc9c-fc68-4977-9692-cdbe4316338d · outbound

This paper cites Particle-level pileup subtraction for jets and jet shapes.

High-Dimensional Unfolding in Large Backgrounds Particle-level pileup subtraction for jets and jet shapes

Reference 10

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source=pdf_text observed=2026-08-06T19:14:50.151153Z digest=sha256:caec6fe56d7f5bb296a81fe816c63f83abb23479bb3e01bcc4819164b84783f6

Observation ff542cbf-6d5a-4946-bee7-c4ebd63bed90 · outbound

This paper cites SoftKiller, a particle-level pileup removal method.

High-Dimensional Unfolding in Large Backgrounds SoftKiller, a particle-level pileup removal method

Reference 11

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source=pdf_text observed=2026-08-06T19:14:50.217309Z digest=sha256:ee55875697cc9b66a84b4035af0cd9ee08fbe12bbc596acfaf36ad9c072aff6f

Observation 9af7818e-92fb-4cce-899f-09e91bdc79a8 · outbound

This paper cites Pileup Per Particle Identification.

High-Dimensional Unfolding in Large Backgrounds Pileup Per Particle Identification

Reference 12

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source=pdf_text observed=2026-08-06T19:14:50.307880Z digest=sha256:609be6cd0eafed737d9b005f9a3f1a96b45a5ff2d12e985a3ca4561718072ec4

Observation 535177a9-f9c9-444d-a7c8-78617b4a72e1 · outbound

This paper cites Pileup mitigation at the Large Hadron Collider with Graph Neural Networks.

High-Dimensional Unfolding in Large Backgrounds Pileup mitigation at the Large Hadron Collider with Graph Neural Networks

Reference 14

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source=pdf_text observed=2026-08-06T19:14:50.366562Z digest=sha256:9ae1616a7817cf94db417f9401908d365298b4c429f49e78813ad8a4f0d74d0b

Observation 0b337f61-a0b0-4d0b-b02a-fda813c6eb26 · outbound

This paper cites Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction.

High-Dimensional Unfolding in Large Backgrounds Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction

Reference 15

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verified exact
local_arxiv, observed 2026-08-06T19:15:00.211342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:50.475869Z digest=sha256:aaa5649adfaa4ee8b2598cc5763910fac34f66c8e4a599a8024b62286337f079

Observation 8816fdf3-29a5-4a00-86b3-56b8736f68be · outbound

This paper cites Pileup mitigation at the LHC: a theorist's view.

High-Dimensional Unfolding in Large Backgrounds Pileup mitigation at the LHC: a theorist's view

Reference 16

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source=pdf_text observed=2026-08-06T19:14:50.644741Z digest=sha256:cb3f9266e9bb342dbb7ad3e4b9b5f9536be8536b22fbda00173b1ecc135522bd

Observation 80cf6d8f-384c-42f1-b983-40c3898c2b1f · outbound

This paper cites Jet physics in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Jet physics in heavy-ion collisions

Reference 22

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source=pdf_text observed=2026-08-06T19:14:50.774237Z digest=sha256:b61dc564291588d6e76d3409b2f5df6dfeb026ec6ce234eb96a45c9942c559d8

Observation dfdd7337-9b5d-435e-b194-5f0c69447274 · outbound

This paper cites Jet Structure in Heavy Ion Collisions.

High-Dimensional Unfolding in Large Backgrounds Jet Structure in Heavy Ion Collisions

Reference 23

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Observation de53c960-b4ac-47fd-acbe-24a570e54c8a · outbound

This paper cites Jet Quenching: From Theory to Simulation.

High-Dimensional Unfolding in Large Backgrounds Jet Quenching: From Theory to Simulation

Reference 24

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source=pdf_text observed=2026-08-06T19:14:50.980678Z digest=sha256:b3ffaecb30c5b94a1b32be065651b1b76e2849e38ee27d4e33e4062fcd64c180

Observation 0469d1b0-5359-460d-b520-7f90a1286300 · outbound

This paper cites Jet quenching and medium response in high-energy heavy-ion collisions: a review.

High-Dimensional Unfolding in Large Backgrounds Jet quenching and medium response in high-energy heavy-ion collisions: a review

Reference 25

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source=pdf_text observed=2026-08-06T19:14:51.114526Z digest=sha256:351b64890d0637ca165bdaa24396a41cc73e7620f7d21040fc8c549a9dc82c6e

Observation 9c1041e7-5a29-4bfa-a314-2bc800ac5616 · outbound

This paper cites OmniFold: A Method to Simultaneously Unfold All Observables.

High-Dimensional Unfolding in Large Backgrounds OmniFold: A Method to Simultaneously Unfold All Observables

Reference 26

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source=pdf_text observed=2026-08-06T19:14:51.207196Z digest=sha256:c342d17ce77e937f9ce268b909fab2974603420eb0bb7f9f262b3bcf97378dbf

Observation b1e3b60d-7a16-4577-952b-36c8dc7e5aeb · outbound

This paper cites Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution.

High-Dimensional Unfolding in Large Backgrounds Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 27

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Observation 46994a45-4b01-400e-8f69-ecb3cc7b19b0 · outbound

This paper cites Invertible Networks or Partons to Detector and Back Again.

High-Dimensional Unfolding in Large Backgrounds Invertible Networks or Partons to Detector and Back Again

Reference 28

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source=pdf_text observed=2026-08-06T19:14:51.380724Z digest=sha256:76cc90ccbaf2b502f166d5f8c1b93143b0535dfb82f55aac67671a9562fd0b15

Observation 9abbaec6-2d42-4adb-82f6-8b70f56d6211 · outbound

This paper cites An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training.

High-Dimensional Unfolding in Large Backgrounds An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training

Reference 29

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Observation 4b55fca9-52a7-4e02-b50d-d9ea6c59ecbd · outbound

This paper cites Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods.

High-Dimensional Unfolding in Large Backgrounds Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods

Reference 30

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Observation d4125a0e-4919-4875-affd-fa4570812d2d · outbound

This paper cites Diefenbacher, G.-H.

High-Dimensional Unfolding in Large Backgrounds Diefenbacher, G.-H

Reference 31

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source=pdf_text observed=2026-08-06T19:14:51.613490Z digest=sha256:fc63a02d6c79362b1444211db9ff39f1d241e0032ec28aac225aa1f45c16ac69

Observation f1ad5f04-010b-4429-b1ed-3717a5327445 · outbound

This paper cites Exploring QCD matter in extreme conditions with Machine Learning.

High-Dimensional Unfolding in Large Backgrounds Exploring QCD matter in extreme conditions with Machine Learning

Reference 32

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Observation 9cfa21ef-4e1d-4d30-be15-5f43850952dc · outbound

This paper cites QCD Masterclass Lectures on Jet Physics and Machine Learning.

High-Dimensional Unfolding in Large Backgrounds QCD Masterclass Lectures on Jet Physics and Machine Learning

Reference 33

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Observation dadbcf19-3ecb-4ba6-8fec-f769c7308f62 · outbound

This paper cites Hep ml living review.

High-Dimensional Unfolding in Large Backgrounds Hep ml living review

Reference 34

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Observation 7024a887-b220-42aa-ac68-0bf4f8383709 · outbound

This paper cites an unresolved cited work.

High-Dimensional Unfolding in Large Backgrounds Unresolved cited work

Reference 43

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Observation 3bd67166-53dc-42d6-9cd4-b1651ed60573 · outbound

This paper cites Improved iterative Bayesian unfolding.

High-Dimensional Unfolding in Large Backgrounds Improved iterative Bayesian unfolding

Reference 44

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source=pdf_text observed=2026-08-06T19:14:52.030269Z digest=sha256:12000f3afdb297d7165af2ec5b6a138270d3e9396063b3c48b184f51f1c0153b

Observation 6e9ff88c-5b07-422d-842b-74c8535cbee8 · outbound

This paper cites Particle-flow reconstruction and global event description with the CMS detector.

High-Dimensional Unfolding in Large Backgrounds Particle-flow reconstruction and global event description with the CMS detector

Reference 45

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no resolver link, observed 2026-08-06T19:14:52.092991Z

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source=pdf_text observed=2026-08-06T19:14:52.092991Z digest=sha256:121afae0ca8c5f2d352afb8704418c023692a22ca080683b8f2ac198825f97e7

Observation 3e6872d1-8032-4e4c-b888-1d6a54d0d2ec · outbound

This paper cites The Metric Space of Collider Events.

High-Dimensional Unfolding in Large Backgrounds The Metric Space of Collider Events

Reference 48

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source=pdf_text observed=2026-08-06T19:14:52.169408Z digest=sha256:047216e5f933b3373a867c5b0548f4027dc724b3f39a964dcfbe8b46dd88cf1a

Observation 785f57b1-eeed-4ac8-92bb-cfa25199310d · outbound

This paper cites The Hidden Geometry of Particle Collisions.

High-Dimensional Unfolding in Large Backgrounds The Hidden Geometry of Particle Collisions

Reference 49

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source=pdf_text observed=2026-08-06T19:14:52.221390Z digest=sha256:eca3214b8557ac4b2bd4a7adac7d0e6689bbcd31e39d3af1020a7d3f700458ed

Observation af836513-1e6f-4bdb-8de2-a921bfc60f35 · outbound

This paper cites A Spectral Metric for Collider Geometry.

High-Dimensional Unfolding in Large Backgrounds A Spectral Metric for Collider Geometry

Reference 50

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Observation 08a15464-9dae-4868-ae46-7da66dc0020e · outbound

This paper cites A Theory of Quark vs. Gluon Discrimination.

High-Dimensional Unfolding in Large Backgrounds A Theory of Quark vs. Gluon Discrimination

Reference 51

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source=pdf_text observed=2026-08-06T19:14:52.410943Z digest=sha256:42904a5d595d5679d617fce3dcd24cd3dc98ddc4a1df4735aa057f4c6a0ff6cb

Observation 325df72b-6493-4aa4-b73c-31779ae8900e · outbound

This paper cites The Lund Jet Plane.

High-Dimensional Unfolding in Large Backgrounds The Lund Jet Plane

Reference 52

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source=pdf_text observed=2026-08-06T19:14:52.495102Z digest=sha256:80739514bd9dd3bae05c49b00cce13b2d9f14b181218af9764f4f11488215e6e

Observation e7cabd5a-b4a4-4b10-879c-a53618371e25 · outbound

This paper cites Quarks and gluons in the Lund plane.

High-Dimensional Unfolding in Large Backgrounds Quarks and gluons in the Lund plane

Reference 53

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source=pdf_text observed=2026-08-06T19:14:52.567674Z digest=sha256:a743a71a01540c1c2361b1c1ed4be6dbf7eb4b8a4e0bf3a80edd0df149779cbd

Observation 451d1f5c-1e44-4680-9753-42fc05bb6ff6 · outbound

This paper cites Sorting out quenched jets.

High-Dimensional Unfolding in Large Backgrounds Sorting out quenched jets

Reference 54

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source=pdf_text observed=2026-08-06T19:14:52.630412Z digest=sha256:ce974f3e1b2bf2b2f5e33d169641abc5542ea2518713bd59856b86fc02621174

Observation 5d0b7a15-2de5-4785-ba05-887220c9260a · outbound

This paper cites Quenching effects in the cumulative jet spectrum.

High-Dimensional Unfolding in Large Backgrounds Quenching effects in the cumulative jet spectrum

Reference 55

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Observation 9b16df61-4e32-414b-a3c5-7fe017c3cfc3 · outbound

This paper cites Deep learning jet modifications in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Deep learning jet modifications in heavy-ion collisions

Reference 56

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Observation c5ccc36d-826b-43bd-bda1-a36e9fcac6e5 · outbound

This paper cites Jet tomography in heavy ion collisions with deep learning.

High-Dimensional Unfolding in Large Backgrounds Jet tomography in heavy ion collisions with deep learning

Reference 57

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source=pdf_text observed=2026-08-06T19:14:52.872798Z digest=sha256:ca71fc66228a1ee237899a321a92069bc2dd6bab3f4e06af841833326667d973

Observation 436f7127-fe36-4ac4-b7bb-5de309f4a1d5 · outbound

This paper cites The information content of jet quenching and machine learning assisted observable design.

High-Dimensional Unfolding in Large Backgrounds The information content of jet quenching and machine learning assisted observable design

Reference 58

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source=pdf_text observed=2026-08-06T19:14:52.940025Z digest=sha256:bbc1084c601ce5deea8c8a578b9fb43a9bb1da12d1cd00e3aa503cfabeb1c8ec

Observation 72e61b55-f4a3-4882-98cc-7f99a2c60471 · outbound

This paper cites Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis.

High-Dimensional Unfolding in Large Backgrounds Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis

Reference 59

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source=pdf_text observed=2026-08-06T19:14:53.011013Z digest=sha256:798d020cf0c8f6ccf3ab201de3b46ca5ca5391b7eaa60e44a6bee2651b101a37

Observation d384e06a-8ce0-4e44-aef5-b60075949363 · outbound

This paper cites E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once.

High-Dimensional Unfolding in Large Backgrounds E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once

Reference 60

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source=pdf_text observed=2026-08-06T19:14:53.089942Z digest=sha256:fe1213b8530c7eaa195d580c18622ad93b5d1b2d41a0ca9882c5efd28d40a7c2

Observation fa03cbcf-279d-4f6f-8660-a0fd96a189fe · outbound

This paper cites Learning Likelihood Ratios with Neural Network Classifiers.

High-Dimensional Unfolding in Large Backgrounds Learning Likelihood Ratios with Neural Network Classifiers

Reference 61

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source=pdf_text observed=2026-08-06T19:14:53.137971Z digest=sha256:85dea8f428835420def60b3d73b0acaf809099ac84aad5541b12bbba4fe2cdfc

Observation 33b47cd5-1459-477a-933c-b5b693b995de · outbound

This paper cites A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties.

High-Dimensional Unfolding in Large Backgrounds A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties

Reference 62

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source=pdf_text observed=2026-08-06T19:14:53.195082Z digest=sha256:3cf982c4f8c31f2f37e44f9a639a71cbe0f0201f773a2ac702f9256c33a35bae

Observation 6adf623d-3b26-488b-93cf-fc6d69ccf44a · outbound

This paper cites Tune: A Research Platform for Distributed Model Selection and Training.

High-Dimensional Unfolding in Large Backgrounds Tune: A Research Platform for Distributed Model Selection and Training

Reference 63

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source=pdf_text observed=2026-08-06T19:14:53.308583Z digest=sha256:1aae0ad6bd4bb36760668fa06eef4e75b1afc8003c81ada079d33c7fb2238a24

Observation 8e8de3b2-b149-4e3d-ac05-9aa8112da278 · outbound

This paper cites Modern Machine Learning for LHC Physicists.

High-Dimensional Unfolding in Large Backgrounds Modern Machine Learning for LHC Physicists

Reference 64

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source=pdf_text observed=2026-08-06T19:14:53.388308Z digest=sha256:37493e6e1145355b7e4c4538df443c6feac70338f7af80eeac78c7a538ba10c8

Observation 05200bd8-c5b0-45df-8f69-748fd5453cc8 · outbound

This paper cites Tuning PYTHIA 8.1: the Monash 2013 Tune.

High-Dimensional Unfolding in Large Backgrounds Tuning PYTHIA 8.1: the Monash 2013 Tune

Reference 65

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source=pdf_text observed=2026-08-06T19:14:53.446078Z digest=sha256:6c14e91a264599b79244e7d941d6bbe6dfb6a80dbf72123c3407569b8cba8c5b

Observation 3bf8930f-4581-4650-8d48-c6974027443b · outbound

This paper cites An Introduction to PYTHIA 8.2.

High-Dimensional Unfolding in Large Backgrounds An Introduction to PYTHIA 8.2

Reference 66

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source=pdf_text observed=2026-08-06T19:14:53.508624Z digest=sha256:e7c2da4d2e7645a73bc46d504d44d7f0e5f938fba8975fe8f31faea03aae0496

Observation 5d8d42b3-4c51-4828-a347-ed84e73595a6 · outbound

This paper cites Herwig 7.0 / Herwig++ 3.0 Release Note.

High-Dimensional Unfolding in Large Backgrounds Herwig 7.0 / Herwig++ 3.0 Release Note

Reference 67

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source=pdf_text observed=2026-08-06T19:14:53.625418Z digest=sha256:5f09e0165d221c1ebe30462600d2504bcb569d249dc6344b047ec55245e897cb

Observation 3e4a7ed4-fff0-4aed-bf85-e7cad4e4560c · outbound

This paper cites Herwig 7.3 Release Note.

High-Dimensional Unfolding in Large Backgrounds Herwig 7.3 Release Note

Reference 68

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source=pdf_text observed=2026-08-06T19:14:53.728221Z digest=sha256:01044bf812314ed1cff2a27b0c117caf4e07467a9a395e5b604b5742d6d295c9

Observation 8310034c-85bb-43cf-bbef-40810afe3b6d · outbound

This paper cites JetToyHI GitHub repository.

High-Dimensional Unfolding in Large Backgrounds JetToyHI GitHub repository

Reference 69

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source=pdf_text observed=2026-08-06T19:14:53.815916Z digest=sha256:31f599085127a85af8098ceffb3d984048d48e6011b202e95f5d589914c8d32f

Observation 5045080e-dde6-4053-aa78-30e0e851bdaf · outbound

This paper cites Novel tools and observables for jet physics in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Novel tools and observables for jet physics in heavy-ion collisions

Reference 70

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source=pdf_text observed=2026-08-06T19:14:53.905443Z digest=sha256:b999b3a905f1e115b8815d676c342fa542e164ee27b7a6a17ef01cb14cd0b349

Observation 0e781574-d03e-4cd1-b6ff-540e8af90565 · outbound

This paper cites Model studies of fluctuations in the background for jets in heavy ion collisions.

High-Dimensional Unfolding in Large Backgrounds Model studies of fluctuations in the background for jets in heavy ion collisions

Reference 71

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verified exact
local_arxiv, observed 2026-08-06T19:14:59.005436Z

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source=pdf_text observed=2026-08-06T19:14:53.984463Z digest=sha256:6bec6caf985ce6264a21817914bacf23cac2bf60e2ee18c43da7c98e58c3532f

Observation a3275c46-d6c4-4c01-b842-11a7fe1260f8 · outbound

This paper cites The anti-k_t jet clustering algorithm.

High-Dimensional Unfolding in Large Backgrounds The anti-k_t jet clustering algorithm

Reference 73

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source=pdf_text observed=2026-08-06T19:14:54.070865Z digest=sha256:f72d6ccfcd9e7908550f3dc8efda44dedc121d81ee87c03ae3ac4e076d1f56ba

Observation 82f14889-4af7-4901-8aca-94d66e15ee86 · outbound

This paper cites FastJet user manual.

High-Dimensional Unfolding in Large Backgrounds FastJet user manual

Reference 74

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source=pdf_text observed=2026-08-06T19:14:54.147131Z digest=sha256:d81812a1b5b8f7350d706185cc8d1d3962c577052b9d8f41c1963bac00dfdbb9

Observation 7eba13e0-6cdb-4478-ad3a-16c9d3dbc762 · outbound

This paper cites OmniFold GitHub repository.

High-Dimensional Unfolding in Large Backgrounds OmniFold GitHub repository

Reference 75

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source=pdf_text observed=2026-08-06T19:14:54.210567Z digest=sha256:9258ddda80090bea9178ea5d10543789cced42baf5077e32acd14967be98c89d

Observation 9df84bbc-ab11-40b9-bb6c-8822b08d1a1b · outbound

This paper cites Dynamical grooming of QCD jets.

High-Dimensional Unfolding in Large Backgrounds Dynamical grooming of QCD jets

Reference 76

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source=pdf_text observed=2026-08-06T19:14:54.277237Z digest=sha256:ea7bc3cb64660cc6a192386eb8e757ede3d696ea78174c7564fbef817fa38fb0

Observation 9b2ded95-5bb9-4797-9b2b-e72324716f3f · outbound

This paper cites Dynamical grooming meets LHC data.

High-Dimensional Unfolding in Large Backgrounds Dynamical grooming meets LHC data

Reference 77

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source=pdf_text observed=2026-08-06T19:14:54.348564Z digest=sha256:fcf48d62cdce5e500c804420d1677357cc256a63aa04a18c351b20739b80cc0f

Observation 130747b1-3e43-4027-a31f-8bd38f0c17f2 · outbound

This paper cites Soft Drop.

High-Dimensional Unfolding in Large Backgrounds Soft Drop

Reference 78

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source=pdf_text observed=2026-08-06T19:14:54.401522Z digest=sha256:f40522f0a4cb6675643b9b919701e4ab54db0b6e6914d928858496a8c68a830e

Observation 8c7780e4-b15c-413e-926b-b3267bac6bfd · outbound

This paper cites Recursive Soft Drop.

High-Dimensional Unfolding in Large Backgrounds Recursive Soft Drop

Reference 79

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source=pdf_text observed=2026-08-06T19:14:54.482327Z digest=sha256:a9910ce6897cdee43ff503f455209205279550d31d1a742deda5d8be36a1c479

Observation 25e634fc-646c-4725-b6f8-cdeed96d2804 · outbound

This paper cites Identifying Boosted Objects with N-subjettiness.

High-Dimensional Unfolding in Large Backgrounds Identifying Boosted Objects with N-subjettiness

Reference 80

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source=pdf_text observed=2026-08-06T19:14:54.554327Z digest=sha256:c64fbdb91a14f89adc11c44261a35ab99fa1ff80648d496de9cfc5b331a67ff0

Observation d17b69ff-109d-4873-babb-c2335df36257 · outbound

This paper cites Dynamically groomed jet radius in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Dynamically groomed jet radius in heavy-ion collisions

Reference 81

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source=pdf_text observed=2026-08-06T19:14:54.623644Z digest=sha256:93c5c71667db9edfe303a2120cab73aa734f2891be0346ccd02d0b9dd54690ea

Observation cb40446d-ad29-4bfc-9b0f-09f2c55756da · outbound

This paper cites Jet radius and momentum splitting fraction with dynamical grooming in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Jet radius and momentum splitting fraction with dynamical grooming in heavy-ion collisions

Reference 82

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source=pdf_text observed=2026-08-06T19:14:54.677013Z digest=sha256:05fd6fdea98f41e3839395a9d6961946c938e5209db01b73a7964fb161e236e8

Observation f1d99e73-d6e0-4f24-b233-739c0f8c9776 · outbound

This paper cites Isolating perturbative QCD splittings in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Isolating perturbative QCD splittings in heavy-ion collisions

Reference 83

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source=pdf_text observed=2026-08-06T19:14:54.745335Z digest=sha256:fc143f11d48e520c6df9af3dc5e8003e8f5351ac16baf5630d98b0fc2ffaa7f5

Observation 181825d9-8ec6-4a4c-9132-742784c06956 · outbound

This paper cites Study of jet quenching with isolated-photon+jet correlations in PbPb and pp collisions at $\sqrt{s_{_{\mathrm{NN}}}} =$ 5.02 TeV.

High-Dimensional Unfolding in Large Backgrounds Study of jet quenching with isolated-photon+jet correlations in PbPb and pp collisions at $\sqrt{s_{_{\mathrm{NN}}}} =$ 5.02 TeV

Reference 89

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source=pdf_text observed=2026-08-06T19:14:54.812779Z digest=sha256:b490ccc98d47e790bfdc84c6f3c09928c357f726b1495a275453531efe6d75d9

Observation cfe6f829-29d9-41bc-9808-836362f142e3 · outbound

This paper cites Machine Learning based jet momentum reconstruction in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Machine Learning based jet momentum reconstruction in heavy-ion collisions

Reference 97

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source=pdf_text observed=2026-08-06T19:14:54.881867Z digest=sha256:9d72f023137158f694a233a13b5af0b84dd86a8f56c3045a262af9ca9c5a6ceb

Observation 4de62ae4-02a2-4dfd-b1f3-58ef8809d20b · outbound

This paper cites Energy Flow Networks: Deep Sets for Particle Jets.

High-Dimensional Unfolding in Large Backgrounds Energy Flow Networks: Deep Sets for Particle Jets

Reference 98

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source=pdf_text observed=2026-08-06T19:14:54.944611Z digest=sha256:5a231eb0438f33fd5da7b39cf14f54e85ce2c045b0e7f816709c5a1f1fda16ec

Observation 4c7c2603-13b1-40e2-82c5-8c245aef9b34 · outbound

This paper cites Disentangling Quarks and Gluons with CMS Open Data.

High-Dimensional Unfolding in Large Backgrounds Disentangling Quarks and Gluons with CMS Open Data

Reference 99

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source=pdf_text observed=2026-08-06T19:14:55.084473Z digest=sha256:77311c2f0be3e805e6d6354e946b88432c4a9953077581a882ea7497fea6c891

Observation 03d5c693-f526-4035-83ee-548e073c4ced · outbound

This paper cites SHAPER: Can You Hear the Shape of a Jet?.

High-Dimensional Unfolding in Large Backgrounds SHAPER: Can You Hear the Shape of a Jet?

Reference 100

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verified exact
local_arxiv, observed 2026-08-06T19:14:58.260748Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:55.222683Z digest=sha256:fc59eac93d89698785eec4d4137307e4bceeb67bc910cd72e5d1500e5e1db14f

Observation afc66227-dfd6-4b29-a356-2770bcadd007 · outbound

This paper cites Is infrared-collinear safe information all you need for jet classification?.

High-Dimensional Unfolding in Large Backgrounds Is infrared-collinear safe information all you need for jet classification?

Reference 101

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source=pdf_text observed=2026-08-06T19:14:55.404148Z digest=sha256:502c587c5b91b4bab346f1dc80a57014900d50a2100f739568063caa78af7dae

Observation aecd7a1e-14d9-4c8c-9cbf-699edc115a76 · outbound

This paper cites Pile-Up Mitigation using Attention.

High-Dimensional Unfolding in Large Backgrounds Pile-Up Mitigation using Attention

Reference 102

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source=pdf_text observed=2026-08-06T19:14:55.522780Z digest=sha256:b8ab146916d8aa6f6a2bd7640b062ed063a9e37942edbfa15ed0b23744df4e5c

Observation 76645bf9-efc7-4415-901b-f8a64f8406ae · outbound

This paper cites PIPPIN: Generating variable length full events from partons.

High-Dimensional Unfolding in Large Backgrounds PIPPIN: Generating variable length full events from partons

Reference 103

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source=pdf_text observed=2026-08-06T19:14:55.693611Z digest=sha256:fd7cc23f7e6e584ef7551f820d867c6aaf6c52e66a7bf34da212596bcb2a04df

Observation 0df98f9a-0d5e-4158-98a8-fd9cfdc4172d · outbound

This paper cites Variational inference for pile-up removal at hadron colliders with diffusion models.

High-Dimensional Unfolding in Large Backgrounds Variational inference for pile-up removal at hadron colliders with diffusion models

Reference 104

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verified exact
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source=pdf_text observed=2026-08-06T19:14:55.780133Z digest=sha256:121fd358121c127e42b7f7633ec1d15b155bafd0c1e46125aa6057d7a70eb7d5

Observation 2b3829a2-6bd2-4330-a876-b0894a5e80f9 · outbound

This paper cites Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments.

High-Dimensional Unfolding in Large Backgrounds Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments

Reference 105

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local_arxiv, observed 2026-08-06T19:14:57.728516Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:14:55.879996Z digest=sha256:55cc62d6881aefedc19c76f71f40b40d3e80e77521db5439c1ca7820799491a1

Observation c91cdf61-ea14-43db-91e3-ac1c2a040d04 · outbound

This paper cites Separating signal from combinatorial jets in a high background environment.

High-Dimensional Unfolding in Large Backgrounds Separating signal from combinatorial jets in a high background environment

Reference 106

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verified exact
local_arxiv, observed 2026-08-06T19:14:57.453489Z

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source=pdf_text observed=2026-08-06T19:14:55.984755Z digest=sha256:1d6af77e8b76ad6113885fc65b3ed40db7538646c565ab8e6c6fb51ee0c8e92c

Observation 77e2ecb5-c423-417a-8e9b-a0aef7b57baa · outbound

This paper cites Multiplicity Based Background Subtraction for Jets in Heavy Ion Collisions.

High-Dimensional Unfolding in Large Backgrounds Multiplicity Based Background Subtraction for Jets in Heavy Ion Collisions

Reference 107

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source=pdf_text observed=2026-08-06T19:14:56.098071Z digest=sha256:70f648eb121456e31bb6adcdf9454b83892c4f6c431e029d313f531dfdb7322a

Observation 7649fcab-27eb-4402-bdc7-039dfb6e0a23 · outbound

This paper cites Neural network biased corrections: Cautionary study in background corrections for quenched jets.

High-Dimensional Unfolding in Large Backgrounds Neural network biased corrections: Cautionary study in background corrections for quenched jets

Reference 108

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local_arxiv, observed 2026-08-06T19:14:57.235141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a07f6f9b-0be8-4a62-a8c5-9d9d1975094c · outbound

This paper cites Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting.

High-Dimensional Unfolding in Large Backgrounds Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting

Reference 109

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unresolved
no resolver link, observed 2026-08-06T19:14:56.249266Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.249266Z digest=sha256:5fc39d274024aa44528588be81bfcb5831129db916a247e16337b90cb6441b2b

Observation 12248c8a-5834-4690-88b3-b6bf5a2909dc · outbound

This paper cites The frontier of simulation-based inference.

High-Dimensional Unfolding in Large Backgrounds The frontier of simulation-based inference

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.380183Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.380183Z digest=sha256:e9a57cbcbac0881ec17a25e7124f3acaec537b7716ee1478a68f78550109c86c

Observation ff61c40b-21e3-4908-8575-17f2ec3b3f6c · outbound

This paper cites Unfolding algorithms and tests using RooUnfold.

High-Dimensional Unfolding in Large Backgrounds Unfolding algorithms and tests using RooUnfold

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.467468Z

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source=pdf_text observed=2026-08-06T19:14:56.467468Z digest=sha256:fa05ecde0ca9395902d4250e8d1a4e04e08944d49fb440d222a2429864c5be86

Observation 96b858e6-9d53-44f6-8d23-b6c65f3f06ff · outbound

This paper cites Comparison of unfolding methods using RooFitUnfold.

High-Dimensional Unfolding in Large Backgrounds Comparison of unfolding methods using RooFitUnfold

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.584828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.584828Z digest=sha256:88c8d737d241cbc9743cc79b99fdd8693923f3265908d8c1580909957e2eb92e

Observation 17a009b8-2669-430f-979e-85122994fb30 · outbound

This paper cites The Landscape of Unfolding with Machine Learning.

High-Dimensional Unfolding in Large Backgrounds The Landscape of Unfolding with Machine Learning

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.718640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.718640Z digest=sha256:8b208c8b41d7c627d16274310392c51db0233ef1bb252e6e162ef05f1c0363e8

Observation b9647e51-44e2-45f2-bcb0-e4204bbb988a · outbound

This paper cites Tools for Unbinned Unfolding.

High-Dimensional Unfolding in Large Backgrounds Tools for Unbinned Unfolding

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.844499Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.844499Z digest=sha256:5b50135bc5aa2fc307ee62b1e97ca4f043f9b92d77b322555e688e24a39a45a7

Pith citing papers

Observation 08be1c6e-8bd3-4c70-bf07-ebc55aecc7d2 · inbound

Toward an event-level analysis of hadron structure using differential programming cites this paper.

Toward an event-level analysis of hadron structure using differential programming High-Dimensional Unfolding in Large Backgrounds

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:29:54.103422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:29:53.413939Z digest=sha256:45b86773a615ac23174f30f13993822c0b21f281dce269dbe78cb66ee97d4d5b