REVIEW 4 major objections 2 minor 47 references
The body of this manuscript argues that a Newton's-law tweak—gravity acting on energy, not mass—lets the Sun produce cosmic rays within the solar system.
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
JailExpert reuses past jailbreak attacks as a dynamically updated experience pool, reporting a 17% higher average attack success rate and 2.7 times better efficiency than prior black-box jailbreak methods.
T0 review reviewed 2026-08-05 challenge →
load-bearing objection I could not actually review the paper: the full text is a different arXiv paper (physics), so this is an abstract-only read; the abstract describes a plausible jailbreak-experience-reuse framework with real claims, but the headline numbers are not yet verifiable and there is a real circularity risk the authors need to close. the 4 major comments →
Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
Core claim
The central proposal is to replace rest masses with total relativistic energies in the inverse-square gravitational law, F = G E1E2/r² ≈ G m1γ2m2/r². The author argues that this makes solar capture of relativistic protons possible, removes the standard objection that solar-system magnetic fields are too weak to hold the highest-energy cosmic rays, and yields a semi-quantitative account of measured cosmic-ray spectra up to at least 10^6 GeV per nucleon. It also supplies a concrete production scenario: solar-wind nuclei are injected into orbits around Jupiter, accelerated, ejected, then captured and further accelerated around the Sun—a 'double slingshot.' The author is explicit that the same m
What carries the argument
The load-bearing mechanism is the energy-coupling gravity law F = G E1E2/r², applied with E = γmc²; the key orbital consequence is that the capture radius of a relativistic particle around the Sun becomes independent of particle mass, r_lim = GMsun/2 ≈ 6.6×10^9 m. The paper defines 'α-material'—nuclei with equal proton and neutron numbers, sharing the same magnetic rigidity in a given field—as the class of particles that can co-orbit in the solar wind and in storage rings. The proposed E&M storage ring, with superimposed electric and magnetic bending, is what allows two species with different velocities to circulate in one ring, giving periodic rear-end collisions at a fixed point for nuclea
Load-bearing premise
The entire cosmic-ray argument stands on one unexplained premise: that a particle's gravitational charge grows with its relativistic energy (γmc²) instead of its rest mass; without that change, the Sun cannot hold the highest-energy protons the paper wants to accelerate.
What would settle it
A direct test: compare the gravitational deflection or orbital acceleration of low-energy and ultra-relativistic particles passing near the Sun. Standard gravity gives the same acceleration for equal rest mass; the revised law predicts acceleration proportional to γ. Existing solar-system light-deflection and spacecraft-tracking constraints on the PPN parameter γ already bound such a deviation, so a search for energy-dependent deflection in high-energy cosmic-ray or probe trajectories would settle the claim.
If this is right
- If gravity couples to energy, high-energy cosmic rays need not originate outside the solar system; the measured spectra up to ~10^6 GeV per nucleon could be explained by solar-system acceleration alone.
- The proposed revision implies that the standard mass-based Newtonian extrapolations to galactic and cosmological scales—including missing-mass and dark-energy reasoning—would need to be rederived, not merely adjusted.
- Laboratory E&M storage rings could measure reactions like 6Li+7Li→13C+γ and 6Li+d→2α at Coulomb-barrier energies in a moving frame, with known initial spins and momenta.
- Rear-end collision kinematics make some endothermic reactions exothermic in the other direction, widening the set of astrophysical nuclear processes accessible to controlled measurement.
Where Pith is reading between the lines
- My inference: the paper's gravity revision has a decisive, inexpensive test today—precise gravitational deflection or clock experiments with relativistic particles in the solar system—but the paper itself proposes no such terrestrial or space-based test.
- My inference: the E&M storage-ring 'rear-end collision' idea stands independently of the gravity revision; a ring measurement of the 6Li+7Li cross section would test the laboratory proposals even if the cosmic-ray story is wrong.
- My inference: if energy-coupling gravity were correct, existing precision tests like planetary ephemerides and light deflection around the Sun would likely show mass-dependent anomalies; the absence of such anomalies in current data is an immediate quantitative constraint the paper does not address.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The submission as received consists of an abstract for a cs.CR paper, 'Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience,' together with a full text that is an entirely different arXiv paper (arXiv:2508.19296) on solar cosmic rays, Newtonian gravity, and storage-ring nuclear physics. The abstract claims a new automated jailbreak framework called JailExpert, with formal experience representation, semantic-drift grouping, dynamic pool updating, an average increase of 17% in attack success rate, and a 2.7x improvement in attack efficiency over state-of-the-art black-box jailbreak methods. None of these components, experiments, baselines, or results appear in the supplied full text. The referee therefore cannot verify the central claims, the experimental protocol, or the novelty of the method from the submitted manuscript.
Significance. The idea of reusing structured past attack experience to improve jailbreak efficiency and effectiveness is potentially valuable for automated LLM red-teaming. If the claimed +17% ASR and 2.7x efficiency gains were established with adequate controls, the contribution could be practically useful. The abstract also points to a public GitHub implementation, which is a positive feature. However, because the submitted full text is an unrelated physics manuscript, there is no evidence in this submission that the method works, that the comparisons are fair, or that the claimed novelty is real. The significance cannot be assessed on the present material.
major comments (4)
- [Full text, title page and entire manuscript] The full text under review is arXiv:2508.19296, 'Solar cosmic ray generation, Newtonian gravity, missing mass, dark energy, laboratory-based nuclear astrophysics, and all that' by Richard Talman. This is not the cs.CR JailExpert paper described in the abstract. None of the claimed contributions—formal experience representation, semantic-drift grouping, dynamic experience-pool updating, or any jailbreak experiments—appear anywhere in the supplied full text. The central claim of the abstract is therefore unsupported by the manuscript as submitted.
- [Abstract] The quantitative headline claims ('average increase of 17% in attack success rate and 2.7 times improvement in attack efficiency') are made with no named baselines, target models, prompt sets, number of runs, variance measures, or significance tests. Even if the correct full text were available, an abstract-level claim against an unnamed 'state-of-the-art' is not auditable and should be supported by a detailed comparison table with confidence intervals.
- [Abstract] The abstract does not state whether the experience pool was constructed from attacks on the same target models used in the final evaluation. If the pool was seeded from the evaluation models, the reported gains would partly reflect memorization of known vulnerabilities rather than transferable 'past attack experience.' The motivating premise—that templates become obsolete as models evolve—requires evaluation on target models that were not used to build the experience pool. This is a load-bearing methodological point that the abstract leaves unresolved.
- [Full text, Sections 8–9 and 12] The supplied full text proposes a revision to Newton's gravitational law and describes storage-ring experiments for nuclear astrophysics. There is no connection, even by analogy, to jailbreak attacks, semantic drift, or experience reuse. As a result, the manuscript does not contain a methods section, an algorithm, a threat model, or an experimental evaluation for JailExpert.
minor comments (2)
- [Abstract] Minor language issues: 'the current known technique' should be 'the currently known technique'; 'To circumvent the issue of attack templates becoming obsolete' is informal. These would need cleanup in a revised version.
- [Abstract] The GitHub link is provided, but there is no statement of version, license, dependencies, or reproducibility instructions. If the paper is resubmitted with the correct full text, a reproducibility statement and benchmark configuration would be helpful.
Circularity Check
No circularity demonstrable from the supplied text: the JailExpert abstract reports empirical gains without a derivation, and the accompanying full text is an unrelated physics manuscript, so no claimed derivation chain can be shown to reduce to its own inputs.
full rationale
The abstract claims that JailExpert achieves an average increase of 17% in attack success rate and a 2.7x improvement in attack efficiency, but it presents no formal derivation, equations, or protocol details. The supplied full text is a different manuscript on solar cosmic rays and nuclear astrophysics (Talman, physics.acc-ph), not the JailExpert paper, so there is no derivation chain from the experience-pool design to the reported numbers that can be audited for equivalence. The skeptical concern that the experience pool may have been built from attacks on the same models used in evaluation is a plausible methodological risk, but the text does not assert or exhibit that the pool was constructed from the evaluation targets, and the hard rules require quoting a specific reduction rather than speculating. The physics manuscript contains self-citations by the author, but those are not load-bearing for the JailExpert abstract's claims. Because no specific step can be identified where a prediction is equivalent by construction to an input, fitted parameter, or self-citation, the appropriate finding is no significant circularity.
Axiom & Free-Parameter Ledger
free parameters (1)
- Semantic-drift grouping threshold and pool update parameters
axioms (3)
- domain assumption Past attack experience, grouped by semantic drift, transfers to newer target models even though attack templates become obsolete
- domain assumption Attack success rate on the chosen unnamed benchmarks is a valid proxy for jailbreak effectiveness
- domain assumption The experience pool is not constructed from attacks on the same target models used in the final evaluation
invented entities (2)
-
Structured experience pool for jailbreak attacks
no independent evidence
-
'Semantic drift' grouping criterion
no independent evidence
Cite this review
Pith. "Pith review of Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience." pith.science (2026). https://pith.science/paper/MSNL2ERW
@misc{pith2026250819292,
author = {Pith},
title = {Pith review of: Stand on The Shoulders of Giants: Building JailExpert from Previous Attack Experience},
year = {2026},
howpublished = {\url{https://pith.science/paper/MSNL2ERW}},
note = {Machine review of arXiv:2508.19292}
}
read the original abstract
Large language models (LLMs) generate human-aligned content under certain safety constraints. However, the current known technique ``jailbreak prompt'' can circumvent safety-aligned measures and induce LLMs to output malicious content. Research on Jailbreaking can help identify vulnerabilities in LLMs and guide the development of robust security frameworks. To circumvent the issue of attack templates becoming obsolete as models evolve, existing methods adopt iterative mutation and dynamic optimization to facilitate more automated jailbreak attacks. However, these methods face two challenges: inefficiency and repetitive optimization, as they overlook the value of past attack experiences. To better integrate past attack experiences to assist current jailbreak attempts, we propose the \textbf{JailExpert}, an automated jailbreak framework, which is the first to achieve a formal representation of experience structure, group experiences based on semantic drift, and support the dynamic updating of the experience pool. Extensive experiments demonstrate that JailExpert significantly improves both attack effectiveness and efficiency. Compared to the current state-of-the-art black-box jailbreak methods, JailExpert achieves an average increase of 17\% in attack success rate and 2.7 times improvement in attack efficiency. Our implementation is available at \href{https://github.com/xiZAIzai/JailExpert}{XiZaiZai/JailExpert}
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This paper was first reviewed by deepseek-v4-flash on August 5, 2026.
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