reapxdev/zenodo-scraper huggingface dataset:
Diagnose, Recover, Certify: Task Readiness under Hidden Dynamics Changes
Authors: Kiet, Nguyen Viet Tuan, Binh, Huynh Thi Thanh
Type: Preprint
Published: 2026-08-03

<p><strong>Abstract:</strong> A deployed control policy can conceal consequential dynamics changes: an actuator may lose effectiveness without affecting the current task when the policy rarely excites it, despite being critical for a future task that has not yet been specified. We introduce task readiness under dormant dynamics drift, a decision problem that unifies active change diagnosis and post-change control recovery under a limited, task-agnostic interaction budget. An agent must identify whether and where local dynamics have changed, use a small number of informative interactions to characterize the change before downstream task identity is revealed, and subsequently provide each candidate task with either a recovered policy and a calibrated lower bound on its achievable return or an abstention decision to a safe fallback. We propose Evidence-Gated Matched-Pulse Transport, an intervention-based Bayesian procedure that couples fault localization with estimation of actuator effectiveness through a shared matched-response representation, thereby preserving diagnostic reliability while converting localized evidence into recovery-relevant uncertainty. This uncertainty is propagated to task-conditioned policy selection and readiness certification, enabling deployment decisions that explicitly trade off expected performance, confidence, and fallback use. We evaluate the resulting framework on a diverse suite of dormant-actuator benchmarks spanning multiple simulators, under a protocol that separates diagnosis from capability recovery, scores deployment by readiness coverage, selective risk, and interaction cost as well as return, and identifies the fault regimes in which transported evidence is decisive.</p>
Everyday Chatter: How Changes in Daily Routines Affect Children's Speech Skills and Emotional Control
Authors: Davidson, Craig Kyrle Strachan
Type: Preprint
Published: 2026-08-03
Keywords: informal conversation deficit, pragmatic language acquisition, executive function, emotional self-regulation, Lev Vygotsky, inner speech, child development, environmental scaffolding, daily routines, behavioral regulation

<p>Over recent decades, shifts in daily family routines—such as increased vehicle use, centralized automated shopping, and structured extracurricular activities—have significantly reduced children's opportunities for spontaneous, casual conversation with a variety of adults and peers. This conceptual paper proposes the term "informal conversation deficit" to describe this reduction in unscripted social interaction.</p>
<p> </p>
<p>Drawing on Lev Vygotsky’s theory of inner speech and foundational research in pragmatic language acquisition, this paper examines how a lack of varied conversational practice can impair a child's ability to articulate internal states, such as fear, frustration, or unmet needs. When children cannot successfully communicate in stressful moments, their frustration often manifests as behavioral outbursts that can mimic or exacerbate the presentation of neurodevelopmental conditions.</p>
<p> </p>
<p>By distinguishing between primary clinical conditions and skill-based environmental deficits, this framework provides educators and parents with practical, low-stakes conversational interventions. The paper concludes with a formal research proposition and study design to empirically test the relationship between informal conversation exposure and the development of emotional self-regulation.</p>
<p>NOTE: This paper was throw together over tea and biscuits..... and was written (outline) 7 years ago. We are currently reviewing old projects to see if they may (or even not) have value. Recent talks with members of the public appear to show agreement with the original consept..... Thus is there for a digital record for this project. </p>
<p> </p>
Representation, Collision, and Constructibility: A Decision-Sufficiency Analysis for Polynomial Observables
Authors: Karimov Hikmat, Alekberli Rahid
Type: Preprint
Published: 2026-08-03
Keywords: representation sufficiency, polynomial observables, constructibility, spectral collision, decision boundary, symmetric group action

<p>Earlier work in this programme showed that support-level invariants of a polynomial ob-<br>servable – the stabilizer of its monomial support under the natural symmetric-group action, the<br>support’s size, and whether its monomials share a single exponent type – do not, on their own,<br>determine constructibility class. The present paper asks a sharper question: which decisions can<br>a representation level make, and which can it not? We show that a support’s monomial degrees<br>already decide one such question completely: if a support’s monomials have pairwise distinct<br>total degree, spectral collision between them is provably impossible, by unique factorization.<br>This result answers the question “can collision occur?” but does not, and is not claimed to,<br>answer the separate question “what is the constructibility class?”. We argue, and illustrate with<br>a minimal pair of families sharing every previously tested invariant yet differing in constructibil-<br>ity class, that these two questions should be treated as analytically distinct. This paper does<br>not propose a new invariant; its contribution is a decision-sufficiency framework for evaluating<br>existing and future invariants, and an explicit map of what the support level can and cannot<br>currently decide.</p>
Interconnected axes of phenotypic plasticity drive coordinated cellular behaviour and worse clinical outcomes in breast cancer
Authors: Meena, Ritesh Kumar, Fan, Yijia, Ramu, Soundharya, Pandey, Anjaney J., Kannan, Abhinav, Subramanian, Yashvita, Subramanian, Yukta, George, Jason T., Jolly, Mohit Kumar
Type: Preprint
Published: 2026-11-26

<div class="section abstract">
<p>Phenotypic plasticity plays a key role in cancer progression and metastasis, enabling cancer cells to adapt and evolve, but precisely how distinct axes governing phenotypic plasticity interact to shape tumour progression and patient outcomes remains unclear. We investigated five major interconnected axes of plasticity in ER-positive (ER+) breast cancer: Metabolic Reprogramming, Epithelial-to-Mesenchymal Plasticity (EMP), Luminal–Basal (Lineage) Switching, Stemness, and Drug-resistance using network dynamics simulations, integrative bulk and single-cell transcriptomic analyses and patient survival analyses. We show that these axes are not independent but drive one another, forming two mutually inhibiting ‘teams’ of nodes enabling specified cellular behaviour. One team (favouring high glycolysis, stem-like, basal-like, mesenchymal/hybrid and tamoxifen-resistant phenotype) was found to be associated with aggressive progression and worse survival. On the other hand, the opposing team (favouring high oxidative phosphorylation, non-stem-like, luminal-like, epithelial and tamoxifen-sensitive phenotype) correlated with better outcomes. Importantly, altering one axis of plasticity often drove coordinated responses along other axes and vice versa. Our findings establish phenotypic plasticity in cancer as a coordinated, multi-axis dynamical process, thus suggesting novel strategies to disrupt systems-level reprogramming enabling metastasis and therapeutic resistance.</p>
</div>