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Paper Citation Record · LEDGER

The Landscape of Unfolding with Machine Learning

As of 10 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 2026-08-10T06:31:04.303077+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
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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:e65e479560bbdf8ba756a7592ffcfe5e951dc0cde24df1323c495730c6c98727

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=sha256:8b8f0e1b5085deb39b5cea83043a516a22c06952ee8864f134df3d2b33bfc1f5

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=sha256:0da43632d6c4c7ce9fa3f0e97861cb0b760d110c40b57598250f2b623f219b6f

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=sha256:810e1bb8c0af5e378da8bdea00d490d334d9e9b565f1f046f2302b9a80fb2f73

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T19:24:12.459020Z digest=sha256:9ec9f805f81d6ca2b14436f308a755a734ed4bd10fd2123f0876891ecb0ac8b0

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=sha256:660901e073436ec250f7e69a64a1eb3356870ac92a02b1b8b1c103938bb7a8aa

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T00:28:42.520230Z digest=sha256:b81090decfec59b9dcb52d905eba3b38136cb44bf9785e1c043bb8275f681d74

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=sha256:405f79e5c911168396e4d19193d4bcfd32c594d2abad372a5a1dbb32cb6825c7

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:cdb60dd99ab356cbe63faf4a5a4204906e15ee4ef2ce6a5afb00462dd6713e2b

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=sha256:20b762dc5152b13923ef39f831d84dae22aef7c4036a0f6345cfa0a074bcc6a2