Paper Citation Record · LEDGER

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2508.04920.

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

pith.paper-citation-record.v1
2508.04920 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:49:26.598268Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation 9335fead-dbb3-4a78-b617-9c0c346094b0 · outbound

This paper cites Machine learning and the physical sciences.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Machine learning and the physical sciences

Reference 1

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Source-reported events for the cited work

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Observation f989d6cb-38e3-4b01-9716-9a73dbf283b2 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 2

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Observation db4a034c-6724-46c2-849e-859cbf3587c6 · outbound

This paper cites AI Feynman: a Physics-Inspired Method for Symbolic Regression.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities AI Feynman: a Physics-Inspired Method for Symbolic Regression

Reference 3

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Observation 8bdec301-024a-4b02-9790-ab14dded6471 · outbound

This paper cites SymbolFit: Automatic Parametric Modeling with Symbolic Regression.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities SymbolFit: Automatic Parametric Modeling with Symbolic Regression

Reference 4

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Observation 2bb7b504-0e04-4641-84c6-440134456d56 · outbound

This paper cites Data science applications to string theory,.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Data science applications to string theory,

Reference 5

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Observation c1780b4c-a5c5-45f3-81f0-c30368cd34f4 · outbound

This paper cites TASI Lectures on Physics for Machine Learning.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities TASI Lectures on Physics for Machine Learning

Reference 6

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Observation 06ddaf27-14ef-4ddd-b414-4aaaa0caf962 · outbound

This paper cites Learning atoms for materials discovery,.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Learning atoms for materials discovery,

Reference 7

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Observation 94dea838-1bad-4694-a472-37138f2f978a · outbound

This paper cites Baryons from Mesons: A Machine Learning Perspective.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Baryons from Mesons: A Machine Learning Perspective

Reference 8

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

This paper cites Particle Physics Model Building with Reinforcement Learning.

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

Reference 9

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Observation cd994734-e6b5-47e4-bda8-d651cf353649 · outbound

This paper cites Back to the Formula -- LHC Edition.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Back to the Formula -- LHC Edition

Reference 10

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Observation 3566ef95-ebd3-45c9-82cf-cabbf1e71b1e · outbound

This paper cites String Model Building, Reinforcement Learning and Genetic Algorithms.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities String Model Building, Reinforcement Learning and Genetic Algorithms

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:49:28.201796Z

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Observation 3e10df2b-9fc5-4c9c-9c9b-2d4110b80f25 · outbound

This paper cites Symbolic regression and precision LHC physics,.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Symbolic regression and precision LHC physics,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:24.856406Z

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Observation becc5b8a-1da7-4881-8d80-9a87a494acef · outbound

This paper cites Discovering the underlying analytic structure within Standard Model constants using artificial intelligence,.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Discovering the underlying analytic structure within Standard Model constants using artificial intelligence,

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-05T23:49:27.916648Z

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Observation 28d5e1c8-d4c6-43c9-921a-82a697311210 · outbound

This paper cites Detecting Symmetries with Neural Networks.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Detecting Symmetries with Neural Networks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:49:27.705241Z

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Observation c8f36be0-7dd7-4085-8c78-14d7f425f8cf · outbound

This paper cites Improving Simulations with Symmetry Control Neural Networks.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Improving Simulations with Symmetry Control Neural Networks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:49:27.473952Z

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Observation 7f54703f-0abe-4a7f-bfb6-b60d20b0014b · outbound

This paper cites Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks

Reference 16

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Observation 7f86da36-2a75-4012-ad7f-2a085a97531c · outbound

This paper cites A Tutorial on Principal Component Analysis.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities A Tutorial on Principal Component Analysis

Reference 17

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Observation 085c0a29-d132-46a5-86ef-782d876b7f8a · outbound

This paper cites Visualizing data using t-sne,.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Visualizing data using t-sne,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:49:28.944930Z

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Observation 9b1163a5-c778-4367-8dba-2a07cea51763 · outbound

This paper cites Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 19

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Observation 58a5845f-9a6d-429f-87c2-bd50a7f523f7 · outbound

This paper cites An Analysis of the t-SNE Algorithm for Data Visualization.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities An Analysis of the t-SNE Algorithm for Data Visualization

Reference 20

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Observation 0993b8b5-b790-46f9-890e-e14947feb945 · outbound

This paper cites A Rapid Review of Clustering Algorithms.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities A Rapid Review of Clustering Algorithms

Reference 21

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Observation 9069647c-1413-4e21-b228-cf1bf863271c · outbound

This paper cites Review of particle physics,.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Review of particle physics,

Reference 22

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Observation e534b808-636e-4176-9e92-c1830a494c9b · outbound

This paper cites Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider,.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider,

Reference 23

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Observation ef8214ca-8977-42d8-abc6-52d74f58f9b2 · outbound

This paper cites Cambridge Lectures on The Standard Model.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Cambridge Lectures on The Standard Model

Reference 24

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Observation cb8534ec-b3c3-4072-a014-0eca8007883f · outbound

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Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Progress Toward Understanding Baryon Resonances

Reference 25

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Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Unresolved cited work

Reference 26

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Observation 3af2a838-d518-419a-8727-05ad42979476 · outbound

This paper cites Multiplet classification of light-quark baryons,.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Multiplet classification of light-quark baryons,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:49:28.444382Z

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Observation dc70d146-2b2a-45e9-8a95-abe5b33c204e · outbound

This paper cites Exotics: Heavy Pentaquarks and Tetraquarks.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Exotics: Heavy Pentaquarks and Tetraquarks

Reference 28

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This paper cites An updated review of the new hadron states.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities An updated review of the new hadron states

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:26.598268Z

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Pith citing papers

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