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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:4c765bb4150f71477351871cdc68c758504988c2e90606f6ed6d1f240262deef

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T00:58:49.432600Z digest=sha256:73d2f85d2b53caaf3266ec0c1616fe12115d18feda9ff30944c04c6dcd744678

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T06:01:19.276964Z digest=sha256:8643fb9b71278ce675ed9551f58a9283bd9b039eb10267fb357da9d5ecfad287

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T09:42:31.642024Z digest=sha256:af020f56f56c7dabef8c21874b187ee010625cdecfdfe2979f04ea460b5cc009

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T08:07:20.906466Z digest=sha256:36a4acdc02cfb75fadab39a3d04e223f4ff817cb285fb547cdca348b536ee297