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Paper Citation Record · LEDGER

BPS spectroscopy with reinforcement learning

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2501.14863.

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

pith.paper-citation-record.v1
2501.14863 v2

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measured 30 of 30 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-10T14:59:26.385708Z

measured 32 of 32 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T01:45:48.330487Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:27:14.510020Z

Reference resolution

30 of 30 outbound references displayed

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Outbound references

Observation 4978c5a6-628e-4c31-82fb-587461df1666 · outbound

This paper cites Monopole Condensation, And Confinement In N=2 Supersymmetric Yang-Mills Theory.

BPS spectroscopy with reinforcement learning Monopole Condensation, And Confinement In N=2 Supersymmetric Yang-Mills Theory

Reference 1

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Observation bfeb1681-8ade-4457-a9f3-f3134d7ef72e · outbound

This paper cites Monopoles, Duality and Chiral Symmetry Breaking in N=2 Supersymmetric QCD.

BPS spectroscopy with reinforcement learning Monopoles, Duality and Chiral Symmetry Breaking in N=2 Supersymmetric QCD

Reference 2

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Observation 92ba4a70-9d97-454c-8926-c96a2334a459 · outbound

This paper cites Classification of complete N=2 supersymmetric theories in 4 dimensions.

BPS spectroscopy with reinforcement learning Classification of complete N=2 supersymmetric theories in 4 dimensions

Reference 3

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Observation 3a736374-6e62-4e84-830a-ee0960230309 · outbound

This paper cites BPS Quivers and Spectra of Complete N=2 Quantum Field Theories.

BPS spectroscopy with reinforcement learning BPS Quivers and Spectra of Complete N=2 Quantum Field Theories

Reference 4

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Observation 5de1b444-8e68-4497-8f17-d383e3843767 · outbound

This paper cites N=2 dualities.

BPS spectroscopy with reinforcement learning N=2 dualities

Reference 5

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Observation d282d24b-94d7-4769-be8a-35a78a50d3b0 · outbound

This paper cites New Graphs of Finite Mutation Type.

BPS spectroscopy with reinforcement learning New Graphs of Finite Mutation Type

Reference 6

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Observation f6b679e0-cba9-485d-a5fa-ee7d9247d5af · outbound

This paper cites an unresolved cited work.

BPS spectroscopy with reinforcement learning Unresolved cited work

Reference 7

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Observation 6c8ca32f-90e9-4fe1-a1df-097bd178cfa3 · outbound

This paper cites He, Deep-Learning the Landscape, Phys.

BPS spectroscopy with reinforcement learning He, Deep-Learning the Landscape, Phys

Reference 8

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Observation 4ee806ed-009c-4a35-b1f2-e8d0bc4015a0 · outbound

This paper cites Machine Learning of Calabi-Yau Volumes.

BPS spectroscopy with reinforcement learning Machine Learning of Calabi-Yau Volumes

Reference 9

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Observation db3eaa43-f20d-4f5d-a037-c8f72e57b46b · outbound

This paper cites Machine Learning in the String Landscape.

BPS spectroscopy with reinforcement learning Machine Learning in the String Landscape

Reference 10

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Observation 38a3390f-e8f5-4651-8020-169a93b566ac · outbound

This paper cites Evolving neural networks with genetic algorithms to study the String Landscape.

BPS spectroscopy with reinforcement learning Evolving neural networks with genetic algorithms to study the String Landscape

Reference 11

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Observation 5c35aba6-648b-47ac-bcc5-e306f130e764 · outbound

This paper cites The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning.

BPS spectroscopy with reinforcement learning The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning

Reference 12

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Observation ab1e95f4-558c-4f58-b7eb-3d68284bde44 · outbound

This paper cites Ruehle, Data science applications to string theory, Phys.

BPS spectroscopy with reinforcement learning Ruehle, Data science applications to string theory, Phys

Reference 13

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Observation b7559195-ba28-42d5-8c5e-f139a1f0f9cb · outbound

This paper cites Gukov, J.

BPS spectroscopy with reinforcement learning Gukov, J

Reference 14

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Observation ee753a8b-2385-4161-8fd6-6f6c2e96f90c · outbound

This paper cites A Triumvirate of AI Driven Theoretical Discovery.

BPS spectroscopy with reinforcement learning A Triumvirate of AI Driven Theoretical Discovery

Reference 15

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Observation f9290690-5121-4544-bce8-00e25c7878b4 · outbound

This paper cites Machine Learning Etudes in Conformal Field Theories.

BPS spectroscopy with reinforcement learning Machine Learning Etudes in Conformal Field Theories

Reference 16

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Observation bded1deb-0e66-4db4-9bdb-8ed697679f01 · outbound

This paper cites Conformal Bootstrap with Reinforcement Learning.

BPS spectroscopy with reinforcement learning Conformal Bootstrap with Reinforcement Learning

Reference 17

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Observation 116155a6-b0d8-40ad-ae70-3a3481b1cd0b · outbound

This paper cites Quiver Mutations, Seiberg Duality and Machine Learning.

BPS spectroscopy with reinforcement learning Quiver Mutations, Seiberg Duality and Machine Learning

Reference 18

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Observation b3eca539-e300-45f5-8b5c-3338873326d0 · outbound

This paper cites Cheung, P .-P.

BPS spectroscopy with reinforcement learning Cheung, P .-P

Reference 19

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Observation 9ce3632f-c6eb-4649-abda-88fe3a0da3f0 · outbound

This paper cites an unresolved cited work.

BPS spectroscopy with reinforcement learning Unresolved cited work

Reference 20

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Observation a077dfc9-1de8-4799-956a-8aa848e945b8 · outbound

This paper cites Learning BPS Spectra and the Gap Conjecture.

BPS spectroscopy with reinforcement learning Learning BPS Spectra and the Gap Conjecture

Reference 21

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Observation ecd5c467-5e43-48aa-a1ed-5e02dd438fe2 · outbound

This paper cites Schur Indices, BPS Particles, and Argyres-Douglas Theories.

BPS spectroscopy with reinforcement learning Schur Indices, BPS Particles, and Argyres-Douglas Theories

Reference 22

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Observation a219c45d-92f0-4f95-bf9a-75b0edc058b5 · outbound

This paper cites N=2 Quantum Field Theories and Their BPS Quivers.

BPS spectroscopy with reinforcement learning N=2 Quantum Field Theories and Their BPS Quivers

Reference 23

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Observation c0715d02-6777-487a-8a10-65872c083708 · outbound

This paper cites Fomin, A.

BPS spectroscopy with reinforcement learning Fomin, A

Reference 24

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Observation f8fea62c-7568-4a73-875f-275bd3772009 · outbound

This paper cites D-Brane Gauge Theories from Toric Singularities and Toric Duality.

BPS spectroscopy with reinforcement learning D-Brane Gauge Theories from Toric Singularities and Toric Duality

Reference 25

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Observation dbd9b820-33e4-4ec1-bde0-0770ccd52c59 · outbound

This paper cites Tang, C.-H.

BPS spectroscopy with reinforcement learning Tang, C.-H

Reference 26

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Observation e4dca5f5-a4a7-4d1b-a3f3-eecc2db1f8a9 · outbound

This paper cites Xie, BPS spectrum, wall crossing and quantum dilogar ithm identity, Adv.

BPS spectroscopy with reinforcement learning Xie, BPS spectrum, wall crossing and quantum dilogar ithm identity, Adv

Reference 27

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Observation 134e1646-6456-4132-aef7-525625681c7a · outbound

This paper cites On Maximal Green Sequences.

BPS spectroscopy with reinforcement learning On Maximal Green Sequences

Reference 28

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Observation 19257a1d-f3a6-4259-81cc-192f7ff7e6b2 · outbound

This paper cites Keller, Quiver Mutation in Java, https://webusers.imj-prg.fr/~ bernhard.keller/quivermutation/ (2006).

BPS spectroscopy with reinforcement learning Keller, Quiver Mutation in Java, https://webusers.imj-prg.fr/~ bernhard.keller/quivermutation/ (2006)

Reference 29

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Observation 3092bf13-8b71-4465-90f3-3123b45945f3 · outbound

This paper cites Saito, Extended a ffine root systems I (Coxeter transformations), Pub- lications of the Research Institute for Mathematical Scien ces 21 (1) 75– 179.

BPS spectroscopy with reinforcement learning Saito, Extended a ffine root systems I (Coxeter transformations), Pub- lications of the Research Institute for Mathematical Scien ces 21 (1) 75– 179

Reference 30

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Pith citing papers

Observation 51472354-e44b-4c0c-8e0b-91c7991b0b46 · inbound

Towards AI-assisted Neutrino Flavor Theory Design cites this paper.

Towards AI-assisted Neutrino Flavor Theory Design BPS spectroscopy with reinforcement learning

Reference 10

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Observation 9ea2545e-95b8-4ff7-8b85-a83aad074ace · inbound

Learning to Trace Seiberg Dualities cites this paper.

Learning to Trace Seiberg Dualities BPS spectroscopy with reinforcement learning

Reference 14

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