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Paper Citation Record · LEDGER

The Landscape of Unfolding with Machine Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2404.18807.

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

pith.paper-citation-record.v1
2404.18807 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:18.534791Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:27:03.786537Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • 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 15798d3e-a681-4ba9-a69d-584ea7a0142d · inbound

Generator Based Inference (GBI) cites this paper.

Generator Based Inference (GBI) The Landscape of Unfolding with Machine Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:18.534791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:16:18.534791Z digest=sha256:f9278074f42c128919ba69c33e6b7aff4290faf4c99e975286c39f18dd2f5b77

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

High-Dimensional Unfolding in Large Backgrounds cites this paper.

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:c94d62e5417352d89fcc38f28a3459563a18db01f6c776dbc0f29037f0c2337f

Observation db07d361-3f14-45c9-8107-7152604cb36a · inbound

Simulation-Prior Independent Neural Unfolding Procedure cites this paper.

Simulation-Prior Independent Neural Unfolding Procedure The Landscape of Unfolding with Machine Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:48:38.914240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:38.914240Z digest=sha256:da2ccfa939cca42811d790df6030ca2e68bb9de259f51ad7f3c33cde589e5071

Observation 09114dd8-03e7-40d0-82d3-fce6ee906471 · inbound

Neural Posterior Unfolding cites this paper.

Neural Posterior Unfolding The Landscape of Unfolding with Machine Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T23:47:45.897582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:47:45.897582Z digest=sha256:05ba677b871b5bfc8c5ad841a40f6984b1124ff5c6eb21fc8283a12aecdd40c9

Observation e1ed6754-ed3e-47d0-9e5f-3670f8feec07 · inbound

Optimization-based Unfolding in High-Energy Physics cites this paper.

Optimization-based Unfolding in High-Energy Physics The Landscape of Unfolding with Machine Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:26:31.454139Z

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=2026-05-15T19:24:12.459020Z digest=sha256:915574d27e15320a4e1468d9ec5c1ae4b9ac74711eaea89b4fc9e369f061e56f

Observation d28ad0ec-ccae-4997-bb08-e9749355b978 · inbound

Optimization-based Unfolding in High-Energy Physics cites this paper.

Optimization-based Unfolding in High-Energy Physics The Landscape of Unfolding with Machine Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T20:39:53.737773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:39:53.737773Z digest=sha256:98606443023f3e7bb73d6a98f0b2ecc06c03439ae75a337321ab91cc56d0b582

Observation 47c42e66-67b9-414c-96e0-8db20b86ec87 · inbound

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

Explicit or Implicit? Encoding Physics at the Precision Frontier The Landscape of Unfolding with Machine Learning

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T02:35:35.226992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:35:35.226992Z digest=sha256:7c1024bc4b782c42fba7c03c98ab85042f50923e0b39c1c07a69efbd451a07a2

Observation b9cc9149-7148-47f0-a247-83aaf8452e74 · inbound

Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding The Landscape of Unfolding with Machine Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T14:27:03.788162Z

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:fdf3b6ffc3ffe992d6ec76b6cfc38af1ffce6f7841e726801730af8526a736f7

Observation 0f6dcaa2-ad74-4af6-b978-8f20879b3f69 · 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 The Landscape of Unfolding with Machine Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-01T07:01:01.163321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:01:01.163321Z digest=sha256:26d88f3729c6e394494d3c6805b1ff2be736f7063551a3cc7ea9d3e2c02fdccb

Observation 262adefc-21b0-49fc-b049-521a0bdb7d3a · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations The Landscape of Unfolding with Machine Learning

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-01T04:29:10.295872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:29:10.295872Z digest=sha256:9ba21f737ce84c1c9d39dd271e73cc0485734a353d2a0761a239c7f7700c4a2c

Observation cf2dd552-7269-415e-861c-3ac57b9bfdf3 · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO The Landscape of Unfolding with Machine Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-30T18:12:21.557414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T18:12:21.557414Z digest=sha256:46bbe08a643347241e15df82b12e9f322a94baea6e8ba30596770c295ddfecf8