Paper Citation Record · LEDGER

Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2105.04448.

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

pith.paper-citation-record.v1
2105.04448 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:35:37.262598Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:38:52.994588Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 25716d2f-845d-4f40-9b72-035e3e115efc · 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 Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T13:35:37.262598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

High-Dimensional Unfolding in Large Backgrounds cites this paper.

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

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:51.293231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0312b9-934a-4009-a59f-b674fd32f979 · inbound

Simulation-Prior Independent Neural Unfolding Procedure cites this paper.

Simulation-Prior Independent Neural Unfolding Procedure Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:37.331681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be7b3542-c141-4ad6-b851-a0e2dded3dce · 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 Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.396635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1701814d-868e-445c-8371-2888a0d5378b · inbound

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

Explicit or Implicit? Encoding Physics at the Precision Frontier Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T02:35:33.854759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707889e2-4e41-4b98-95ab-abb18c043c7b · inbound

Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:27:03.821810Z

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.

Observation 5fa8cdb8-4c05-447e-bf89-94d26fca8cb8 · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:38:52.996595Z

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.