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Suppressed supersymmetry breaking terms in the Higgs sector

High Energy Physics - Phenomenology · Submitted 31 Mar 2004

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim This type of spectrum can relieve the fine-tuning problem in the MSSM Higgs sector.

how it is stated · hedged possibility 0.75 read the record →

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arXiv IDhep-ph/0403298 (version 2)
Pith ID4GXCZ2VA, Pith's permanent record of this paper and its review
CitationHaruhiko Terao, Tatsuo Kobayashi. "Suppressed supersymmetry breaking terms in the Higgs sector." arXiv:hep-ph/0403298 (2004). https://pith.science/paper/4GXCZ2VA
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,509 input tokens, $0.0001 reported.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.08 · human participants 0.01 · controlled comparison 0.05 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.16 · mentions code or data availability 0.01.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

We study the little hierarchy between mass parameters in the Higgs sector and other SUSY breaking masses. This type of spectrum can relieve the fine-tuning problem in the MSSM Higgs sector. Our scenario can be realized by superconformal dynamics. The spectrum in our scenario has significant implications in other phenomenological aspects like the relic abundance of the lightest neutralino and relaxation of the unbounded-from-below constraints.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We study the little hierarchy between mass parameters in the Higgs sector and other SUSY breaking masses. contribution 0.86 0.79 0.06 asserted 0.61
s1 This type of spectrum can relieve the fine-tuning problem in the MSSM Higgs sector. interpretation 0.85 0.25 0.32 hedged possibility 0.75
s2 Our scenario can be realized by superconformal dynamics. method 0.54 0.31 0.15 asserted 0.55
s3 The spectrum in our scenario has significant implications in other phenomenological aspects like the relic abundance of the lightest neutralino and relaxation of the unbounded-from-below constraints. interpretation 0.96 0.64 0.24 asserted 0.98

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from argument 0.83.

What was examined, and what was not

sources read
  • arXiv listing abstract v2
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We study the little hierarchy between mass parameters in the Higgs sector and other SUSY breaking masses. This type of spectrum can relieve the fine-tuning problem in the MSSM Higgs sector. Our scenario can be realized by superconformal dynamics. The spectrum in our scenario has significant implications in other phenomenological aspects like the relic abundance of the lightest neutralino and relaxation of the unbounded-from-below constraints.

Human review
References
How the literature uses it

2 arXiv papers cite this in 2 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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