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Paper Citation Record · LEDGER

Explainable machine learning of the underlying physics of high-energy particle collisions

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2012.06582.

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

pith.paper-citation-record.v1
2012.06582 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:41:36.716656Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:05:26.527632Z

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 7e495b2c-a152-4d89-b13b-734fdd6d3b48 · inbound

White Paper on Software Infrastructure for Advanced Nuclear Physics Computing cites this paper.

White Paper on Software Infrastructure for Advanced Nuclear Physics Computing Explainable machine learning of the underlying physics of high-energy particle collisions

Reference 153

Resolution
unresolved
no resolver link, observed 2026-08-10T22:41:36.716656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:41:36.716656Z digest=sha256:7cab6740aed57ebe9f4f8eaf01d55e873eff5136b641bfb6c169617febd8ebdc

Observation e449c7a0-6795-4cbc-9e4f-eef13bb30cf4 · inbound

Physics inspired quantum algorithm for QCD splitting functions cites this paper.

Physics inspired quantum algorithm for QCD splitting functions Explainable machine learning of the underlying physics of high-energy particle collisions

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:55:58.962685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T00:58:49.432600Z digest=sha256:c19844bfd32e396713e72e4cc51d0d49bd56714d8b7b2d01e1e928ec992b1d19

Observation 3f21d1d7-30fc-4139-bca9-abb70ccd8795 · inbound

Physics inspired quantum algorithm for QCD splitting functions cites this paper.

Physics inspired quantum algorithm for QCD splitting functions Explainable machine learning of the underlying physics of high-energy particle collisions

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:05:26.530142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T06:01:19.276964Z digest=sha256:f5e4ddbd9282f005efb40cbd7080b3f51f8f548e217347c28d6d8b60d76c8755

Observation 1a83855b-a43e-478b-90ba-3c54c0aa58c1 · inbound

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms cites this paper.

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms Explainable machine learning of the underlying physics of high-energy particle collisions

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:43:10.718551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T09:42:31.642024Z digest=sha256:b0e03ebfe9cf97db0837002c34e226013770527544ba7e39f96ec40c601894d6

Observation bc50eeac-80a1-4507-9e54-3bd6446ac0fe · inbound

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms cites this paper.

Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms Explainable machine learning of the underlying physics of high-energy particle collisions

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:09:51.529714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-21T08:07:20.906466Z digest=sha256:2899cc536dc4919c3f457dac22d3deb1bdab6441038d408bcc5ffd27b3e9fff9