Paper Citation Record · LEDGER

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.04100.

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

pith.paper-citation-record.v1
2608.04100 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:38:39.382105Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

verified exact6
verified fuzzy1
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c083ea6-f1f1-4095-961f-e281be10a474 · outbound

This paper cites Richmond, C.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Richmond, C

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-08T00:38:41.101982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fab07a36-02a7-4c33-82c6-3cd4372ed0e6 · outbound

This paper cites Heneka, F.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Heneka, F

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.550846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e8c306-abf1-4149-8f3f-6885e5db96c9 · outbound

This paper cites an unresolved cited work.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.555795Z

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Unavailable: canonical work link unavailable.

Observation 2409380a-9003-42b9-9bcc-864d4e53fdbf · outbound

This paper cites Toward a Community Roadmap for High Energy Physics and Artificial Intelligence in China and Beyond.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Toward a Community Roadmap for High Energy Physics and Artificial Intelligence in China and Beyond

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.561589Z

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Observation b704e31f-6a34-4530-936d-6522b7f93c76 · outbound

This paper cites MadAgents.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses MadAgents

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.566989Z

Source-reported events for the cited work

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Observation 5f9d3934-1b05-4e8c-8991-90053981f4dd · outbound

This paper cites Diefenbacher, A.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Diefenbacher, A

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.573329Z

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Unavailable: canonical work link unavailable.

Observation 671f4cbc-319d-4981-951a-47b0be563067 · outbound

This paper cites Esmail, A.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Esmail, A

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.578135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f3a86e-caa0-4da1-8da5-c3119a5c0117 · outbound

This paper cites A Scientific Human-Agent Reproduction Pipeline.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses A Scientific Human-Agent Reproduction Pipeline

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.616711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d352037f-a201-42d2-9017-7d487c66f4dc · outbound

This paper cites Gendreau-Distler, J.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Gendreau-Distler, J

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.673049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ad1be3-2e92-4a00-94aa-cd6396c790db · outbound

This paper cites RooAgent: An LLM Agent for Root-Based High Energy Physics Analysis.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses RooAgent: An LLM Agent for Root-Based High Energy Physics Analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.794259Z

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Unavailable: canonical work link unavailable.

Observation 973f63af-1087-4e49-ac0a-34814dc99353 · outbound

This paper cites an unresolved cited work.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.874453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e4973fa-e04d-4a49-81cb-82c2504e095e · outbound

This paper cites HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.929688Z

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Observation 1cb5489d-4646-47f4-b4a1-94ab48fbeb01 · outbound

This paper cites an unresolved cited work.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.950556Z

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Unavailable: canonical work link unavailable.

Observation df20b53b-b1fe-4fbb-9a5d-1bfdf411cbf6 · outbound

This paper cites Agrawal, N.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Agrawal, N

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.954749Z

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Observation 39c95297-151c-4e13-a5e6-8f580b75b8b0 · outbound

This paper cites Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.959309Z

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Observation 10fd395e-f0e3-45ed-af77-7c2117481cbd · outbound

This paper cites AgentRivet: an automated system for producing Rivet routines from journal publications.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses AgentRivet: an automated system for producing Rivet routines from journal publications

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.964580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 828fc1bf-8612-409e-9d18-5bf33c570b3c · outbound

This paper cites LeWRON: Agentic Analysis of Electroweak Phase Transitions.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses LeWRON: Agentic Analysis of Electroweak Phase Transitions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.970036Z

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Unavailable: canonical work link unavailable.

Observation 3981aa43-a80b-4978-ae4b-ce8c6f9e9cce · outbound

This paper cites Menzo, A.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Menzo, A

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.975121Z

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Unavailable: canonical work link unavailable.

Observation ecb6961e-64f9-4621-8cc2-a1e781f7f7f6 · outbound

This paper cites When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:38:40.104796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb01bd97-bc60-4c2b-8067-bf3898fc5f03 · outbound

This paper cites Articulating Assumptions in AI-Generated Scientific Analyses through Task Decomposition.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Articulating Assumptions in AI-Generated Scientific Analyses through Task Decomposition

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:38:40.080104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c83fb2d3-e422-497e-913e-bbe711385dd2 · outbound

This paper cites DarkAgents.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses DarkAgents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:38.990327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8044e64d-61b0-47f9-a4b6-51015edae670 · outbound

This paper cites SMEFT-Pheno-Agent: a natural-language-driven AI agent for machine-learning-assisted Standard Model Effective Field Theory phenomenology.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses SMEFT-Pheno-Agent: a natural-language-driven AI agent for machine-learning-assisted Standard Model Effective Field Theory phenomenology

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:38:39.913102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91e481cb-e1b8-4d35-9ffa-385bb014df5c · outbound

This paper cites Agentic Re-Casting using Agentic Re-Simulations.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Agentic Re-Casting using Agentic Re-Simulations

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-08T00:38:39.852676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e00dde49-595e-4ad7-b4fe-f31642399fdf · outbound

This paper cites Alexander, B.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Alexander, B

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-08T00:38:39.777086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f37b8e96-d273-4734-86a3-ed952c28f95d · outbound

This paper cites Large Language Model-Assisted Framework for BSM Model Building.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Large Language Model-Assisted Framework for BSM Model Building

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:39.010980Z

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Unavailable: canonical work link unavailable.

Observation 35dc1d52-d9db-4c16-a2ed-f842208c12bc · outbound

This paper cites The Standard Model as an Effective Field Theory.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses The Standard Model as an Effective Field Theory

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:39.015958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcc3b37-762f-49ce-b353-ce3b9a8915c7 · outbound

This paper cites DsixTools 2.0: The Effective Field Theory Toolkit.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses DsixTools 2.0: The Effective Field Theory Toolkit

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:39.021187Z

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Unavailable: canonical work link unavailable.

Observation 87ed1639-a108-4565-8402-826f8e94ef12 · outbound

This paper cites SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:39.026322Z

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Observation b65e4733-7aa2-47da-9058-71e76b1d3fe0 · outbound

This paper cites Qwen3 Technical Report.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Qwen3 Technical Report

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:39.032152Z

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Unavailable: canonical work link unavailable.

Observation 84c08cb6-059f-43b8-92ae-11f9f6b66ed8 · outbound

This paper cites an unresolved cited work.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-08T00:38:41.428192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9fa8b3cb-302d-4338-866c-eb54e188bd1e · outbound

This paper cites Claude api documentation.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Claude api documentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T00:38:41.302867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6ffc6fc-1057-46b5-a07d-4e165ff4c840 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses QLoRA: Efficient Finetuning of Quantized LLMs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:39.292557Z

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Unavailable: canonical work link unavailable.

Observation cfc7378b-4719-4967-90b3-18d724b4ffa2 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Language-Guided Hypotheses Generation for Sparse SMEFT Analyses Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T00:38:39.382105Z

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Pith citing papers

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