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Paper Citation Record · LEDGER

OmniFold: A Method to Simultaneously Unfold All Observables

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1911.09107.

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

pith.paper-citation-record.v1
1911.09107 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:18:45.904131Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:27:03.841738Z

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0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 41ff294e-88ed-4374-9908-7fcad6e13b81 · inbound

How to Unfold Top Decays cites this paper.

How to Unfold Top Decays OmniFold: A Method to Simultaneously Unfold All Observables

Reference 4

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unresolved
no resolver link, observed 2026-08-10T17:18:45.904131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee340568-44d9-4a76-8d2a-9d7a3f800ebf · inbound

Measurement of jet track functions in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector cites this paper.

Measurement of jet track functions in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector OmniFold: A Method to Simultaneously Unfold All Observables

Reference 34

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no resolver link, observed 2026-08-09T13:35:37.259451Z

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Unavailable: canonical work link unavailable.

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

High-Dimensional Unfolding in Large Backgrounds cites this paper.

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

Reference 26

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no resolver link, observed 2026-08-06T19:14:51.207196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8575c409-6d31-4e9c-875f-ebf17478a8a8 · inbound

Analysis note: measurement of thrust in $e^{+}e^{-}$ collisions at $\sqrt{s}$ = 91 GeV with archived ALEPH data cites this paper.

Analysis note: measurement of thrust in $e^{+}e^{-}$ collisions at $\sqrt{s}$ = 91 GeV with archived ALEPH data OmniFold: A Method to Simultaneously Unfold All Observables

Reference 14

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no resolver link, observed 2026-08-06T16:11:50.536999Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:11:50.536999Z digest=sha256:edcbd74ce9e0ea71033c9b1126c8b020938f389ff6a99a153e6f06c6dba7386b

Observation 263489f3-cef7-4924-a0d5-ae82425c817e · inbound

Simulation-Prior Independent Neural Unfolding Procedure cites this paper.

Simulation-Prior Independent Neural Unfolding Procedure OmniFold: A Method to Simultaneously Unfold All Observables

Reference 8

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no resolver link, observed 2026-08-06T15:48:37.082382Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:37.082382Z digest=sha256:193966b0fdfb71209608569b71609e20feeeadbb4409b8d58791fe9f879edfe4

Observation 158e4cfa-463c-483c-81ea-dab93eaa41ce · 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 OmniFold: A Method to Simultaneously Unfold All Observables

Reference 66

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unresolved
no resolver link, observed 2026-08-06T15:29:53.391166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:29:53.391166Z digest=sha256:7a280037b6dcb744589e47b1c3941d4cd211b8345c3744dbef25b6b7b3926894

Observation 869d0165-05ee-492d-873b-5f37d9f4339b · inbound

Neural Posterior Unfolding cites this paper.

Neural Posterior Unfolding OmniFold: A Method to Simultaneously Unfold All Observables

Reference 36

Resolution
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Unavailable: canonical work link unavailable.

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Observation 4f7d53e2-4c31-43de-8758-31f4b049687c · inbound

Data-Driven Predictions for Dark Photon and Millicharged Particle Production cites this paper.

Data-Driven Predictions for Dark Photon and Millicharged Particle Production OmniFold: A Method to Simultaneously Unfold All Observables

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-21T18:05:27.130632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5735bcd4-541f-4b72-a6d0-a0c2d46d72f3 · inbound

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency cites this paper.

HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency OmniFold: A Method to Simultaneously Unfold All Observables

Reference 30

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no resolver link, observed 2026-08-03T15:47:01.473031Z

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Unavailable: canonical work link unavailable.

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Observation 931d532c-6cde-4dcb-bc01-81dfb0d99e15 · inbound

The PYTHIA Facility cites this paper.

The PYTHIA Facility OmniFold: A Method to Simultaneously Unfold All Observables

Reference 90

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no resolver link, observed 2026-08-02T19:36:52.141173Z

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Unavailable: canonical work link unavailable.

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Observation 3aa6a5ca-b64c-4d69-a881-0d6ea0730a41 · inbound

Explicit or Implicit? Encoding Physics at the Precision Frontier cites this paper.

Explicit or Implicit? Encoding Physics at the Precision Frontier OmniFold: A Method to Simultaneously Unfold All Observables

Reference 54

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no resolver link, observed 2026-08-03T02:35:33.738035Z

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Unavailable: canonical work link unavailable.

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Observation d35312f0-b51e-4ae7-886d-a342f7c63974 · inbound

Kitchen Sink Anomaly Detection cites this paper.

Kitchen Sink Anomaly Detection OmniFold: A Method to Simultaneously Unfold All Observables

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:06:04.014529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T23:30:30.344180Z digest=sha256:d6eb19d1e6353c35fea73bad81f53b08089cba6ec63a1292e9046ac41bb7f0c2

Observation 2ea20369-6527-48f1-b5c8-8b3d723d0990 · inbound

CP-violation or Nuclear Excitation: Reviewing the Role of Neutrino Interaction Model Uncertainties on Accelerator-Based Neutrino Oscillation Measurements cites this paper.

CP-violation or Nuclear Excitation: Reviewing the Role of Neutrino Interaction Model Uncertainties on Accelerator-Based Neutrino Oscillation Measurements OmniFold: A Method to Simultaneously Unfold All Observables

Reference 23

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T14:03:30.209607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9fad4e41-6f68-4f15-a027-240b0ac862eb · inbound

Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding OmniFold: A Method to Simultaneously Unfold All Observables

Reference 15

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verified exact
arxiv_id, observed 2026-07-02T14:27:03.843036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 956176bd-b27b-4b10-af5f-e15cdef5e620 · inbound

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning cites this paper.

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning OmniFold: A Method to Simultaneously Unfold All Observables

Reference 73

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no resolver link, observed 2026-08-01T07:01:00.447395Z

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Unavailable: canonical work link unavailable.

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Observation cdbf3c2f-8512-4427-ad9c-8bdb1177b997 · inbound

Machine Learning is Good for Physics - and Vice Versa cites this paper.

Machine Learning is Good for Physics - and Vice Versa OmniFold: A Method to Simultaneously Unfold All Observables

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T23:04:30.357753Z

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Unavailable: canonical work link unavailable.

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