Paper Citation Record · LEDGER

Particle Physics Model Building with Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2103.04759.

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

pith.paper-citation-record.v1
2103.04759 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 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:57.468391Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T08:26:59.027162Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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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 f96b81f1-2e44-459e-8a5c-c91872f79e0e · inbound

Generating particle physics Lagrangians with transformers cites this paper.

Generating particle physics Lagrangians with transformers Particle Physics Model Building with Reinforcement Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T19:48:01.441321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d730d72c-f7c2-434a-8746-e251ed7b3d74 · inbound

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities cites this paper.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Particle Physics Model Building with Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:24.591859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e4346b-ef70-4638-9271-7e8afb85a087 · inbound

Good flavor search in SU(5): a machine learning approach cites this paper.

Good flavor search in SU(5): a machine learning approach Particle Physics Model Building with Reinforcement Learning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:30:28.657877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation cad7cf46-e552-4e03-8b2d-1148174ac496 · inbound

When minor issues matter: symmetries, pluralism, and polarization in similarity-based opinion dynamics cites this paper.

When minor issues matter: symmetries, pluralism, and polarization in similarity-based opinion dynamics Particle Physics Model Building with Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-15T14:54:39.517067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acfd193c-5cc5-4344-8f02-11284b3eff9f · inbound

Local Conformal Predictions for Calibrated Surrogates cites this paper.

Local Conformal Predictions for Calibrated Surrogates Particle Physics Model Building with Reinforcement Learning

Reference 242

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:58:54.768835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5380244e-cb12-4fd8-9304-85905c5ec146 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Particle Physics Model Building with Reinforcement Learning

Reference 114

Resolution: unresolved; no resolver link, observed 2026-07-12T06:14:03.658427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955e84e4-b352-4e2b-9f5a-dd40a80491cf · inbound

Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data cites this paper.

Revisiting One-Zero and Two-Zero Neutrino Mass Textures in Light of Recent Oscillation and Cosmological Data Particle Physics Model Building with Reinforcement Learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-10T08:26:59.028263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eadea0b0-cc94-43c0-b097-df86faa4f64c · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Particle Physics Model Building with Reinforcement Learning

Reference 230

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:57.468391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.