Paper Citation Record · LEDGER

ABCDisCo: Automating the ABCD Method with Machine Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.14400.

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

pith.paper-citation-record.v1
2007.14400 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:28:54.922077Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T17:26:40.533985Z

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 21ce5714-86e3-460e-a300-07830aae1592 · inbound

Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC cites this paper.

Machine learning method for enforcing variable independence in background estimation with LHC data: ABCDisCoTEC ABCDisCo: Automating the ABCD Method with Machine Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:08.061258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0465dd8-8de1-4665-baeb-72c7959b8f3d · inbound

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

Higgs Signal Strength Estimation with Machine Learning under Systematic Uncertainties ABCDisCo: Automating the ABCD Method with Machine Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T13:28:03.784180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0039d0a-52e2-4fcb-bb72-6d46a355bcbc · inbound

Data-driven method to estimate contamination from light ion beam transmutation at colliders cites this paper.

Data-driven method to estimate contamination from light ion beam transmutation at colliders ABCDisCo: Automating the ABCD Method with Machine Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:26:40.536400Z

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.

Observation a7f0d60b-0dfb-444f-be95-12416cebe928 · inbound

Search for resonant production of lepton-enriched semivisible jets in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for resonant production of lepton-enriched semivisible jets in proton-proton collisions at $\sqrt{s}$ = 13 TeV ABCDisCo: Automating the ABCD Method with Machine Learning

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-08T15:28:54.922077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.