Pith. sign in

Paper Citation Record · LEDGER

An implementation of neural simulation-based inference for parameter estimation in ATLAS

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.01600.

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

pith.paper-citation-record.v1
2412.01600 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:45.740095Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:37:42.766833Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 e7aa657d-90f9-43ca-be8d-07906b143c49 · inbound

Comment on "An implementation of neural simulation-based inference for parameter estimation in ATLAS'' cites this paper.

Comment on "An implementation of neural simulation-based inference for parameter estimation in ATLAS'' An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:25:45.740095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:45.740095Z digest=sha256:2ac1ac162136f51d2eacf6c46f031343da38ad971e75cd3295af4f914792367e

Observation 083fd5b6-e498-4915-b4a2-0587ece948b4 · inbound

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties cites this paper.

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T13:28:03.729747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:28:03.729747Z digest=sha256:dbf00997492f052e347df31d261b26d2eab0b58b5abed4ab4687bdc241ecd866

Observation 8b155f50-8352-42c4-80c4-08add49cfb4a · inbound

HDSense: An efficient method for ranking observable sensitivity cites this paper.

HDSense: An efficient method for ranking observable sensitivity An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 9

Resolution
malformed identifier
no resolver link, observed 2026-08-03T05:44:38.642246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:44:38.642246Z digest=sha256:6e5114973f52a1c57e0fe52881d398a8d4e9294cb2e406c40c139e488051167e

Observation 049d21bd-dc5e-4429-99f5-c7eb6dabdd2f · inbound

Many Wrongs Make a Right: Leveraging Biased Simulations Towards Unbiased Parameter Inference cites this paper.

Many Wrongs Make a Right: Leveraging Biased Simulations Towards Unbiased Parameter Inference An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:13:16.553869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T21:10:08.727001Z digest=sha256:ed8a3b77d52f5a239f38340392fc7730d4f437c0213e44f0d7342fe588094eff

Observation 64ebbd4d-461e-4ad5-aa36-2eadb8c354a1 · inbound

Matrix element method at NLO: A fine proof of concept in POWHEG cites this paper.

Matrix element method at NLO: A fine proof of concept in POWHEG An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T06:37:42.768455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T12:36:57.710877Z digest=sha256:9cdd4b2a34d3e33c07a8b980a71203274618efe27ebc2073d8382217b6a6b339

Observation 8c67aa2d-1714-498d-8936-ae0ef6b1a15e · inbound

Defining a Minimum Resolution for Unbinned Analyses cites this paper.

Defining a Minimum Resolution for Unbinned Analyses An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.808103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:46:13.753340Z digest=sha256:d784d596f00aa6d07106b7f82b84e5eee494d60e00379c0dd1e78718875df0b5

Observation 2f215fb1-9d92-4d9d-b78d-5596ad8818bd · inbound

Search for new scalars via $X \rightarrow SH \rightarrow b\bar{b}b\bar{b}$ in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector cites this paper.

Search for new scalars via $X \rightarrow SH \rightarrow b\bar{b}b\bar{b}$ in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-01T15:25:10.157597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:25:10.157597Z digest=sha256:1b26b45f47bfe4bca8b3be0d5d44eeced399816aa642c941ab84950c37a43069

Observation 61024355-2e0b-49fb-a657-e6691e2734c8 · 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 An implementation of neural simulation-based inference for parameter estimation in ATLAS

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-01T07:01:01.230906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:01:01.230906Z digest=sha256:88a86df0f1381a9c0d18f118d0dd67784e4cdec8fbe890c772edc203115300fa