Paper Citation Record · LEDGER

Machine Learning in Nuclear Physics

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2112.02309.

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

pith.paper-citation-record.v1
2112.02309 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 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:29:51.331781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:47:45.120122Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 6c336345-6cb7-422a-843a-feddeb4d87d2 · inbound

Toward an event-level analysis of hadron structure using differential programming cites this paper.

Toward an event-level analysis of hadron structure using differential programming Machine Learning in Nuclear Physics

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:51.331781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae82388f-a3fc-4f03-b1b4-0519112785d3 · inbound

Criticality analysis of nuclear binding energy neural networks cites this paper.

Criticality analysis of nuclear binding energy neural networks Machine Learning in Nuclear Physics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T06:01:11.498958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da94e30-1af1-4cec-92a4-ab05601f0f43 · inbound

Extraction of the color dipole amplitude with physics-informed neural networks cites this paper.

Extraction of the color dipole amplitude with physics-informed neural networks Machine Learning in Nuclear Physics

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:37:53.150959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eb16896d-f79b-4bfc-ad3d-d3d9be377561 · inbound

Solving Functional Renormalization Group Equations with Neural Networks cites this paper.

Solving Functional Renormalization Group Equations with Neural Networks Machine Learning in Nuclear Physics

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T17:48:26.074366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25efb76c-dfbc-43bc-87c6-8975b846ed29 · inbound

Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD cites this paper.

Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD Machine Learning in Nuclear Physics

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:48:08.199735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0298bf6e-fd4b-40c4-8426-a40ca406a9ce · inbound

Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model cites this paper.

Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model Machine Learning in Nuclear Physics

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:27:49.590847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85593c74-6d7a-4655-a0af-0a5d79bbd3ce · inbound

Neural-network solution of subtracted three-body Faddeev integral equations near the Efimov limit cites this paper.

Neural-network solution of subtracted three-body Faddeev integral equations near the Efimov limit Machine Learning in Nuclear Physics

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T07:47:45.121686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2b20535-3639-4477-9b9a-7d1d902daf87 · inbound

Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders cites this paper.

Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders Machine Learning in Nuclear Physics

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-31T05:57:07.533526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.