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Paper Citation Record · LEDGER

Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:51.293231Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 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.

source=pdf_text observed=2026-08-06T19:14:51.293231Z digest=sha256:a312bf508be479353648be4c1ec8f99bcf35613a21dcf336a7022360e08b9ab1

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.

source=pdf_text observed=2026-08-06T15:48:37.331681Z digest=sha256:488f00406c3dcfcfefc313bf37c08246e04ca66cce89d6f62fb245afbb715f8b

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.

source=pdf_text observed=2026-08-06T15:29:53.396635Z digest=sha256:6eb0db54c577eca78a60315db84fbbab1fabcadecf97f7d16c12fce4014d7de8

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.

source=pdf_text observed=2026-08-03T02:35:33.854759Z digest=sha256:cd7e3613e8f8fc782af637ac095c9227fdc3f2e7f539c7771376b0e0c9c933eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T00:28:42.520230Z digest=sha256:bf3f24e7385a0f2295abc2c8eaa4b1f203fe7235a2bc0d1b0874b0edf714b3e1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-03T19:29:34.070294Z digest=sha256:26b541bf0ebf5d2ae8e918c01ccb9ca71e80e9324f864388798cfc107e54c804