Pith. sign in

REVIEW 1 cited by

Varied phenomenology of models displaying dynamical large-deviation singularities

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2012.09128 v2 pith:GVOZ3MDE submitted 2020-12-16 cond-mat.stat-mech

classification cond-mat.stat-mech
keywords singularitiesdynamicallarge-deviationmodelsbehaviorphasedistinctlattice
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Singularities of dynamical large-deviation functions are often interpreted as the signal of a dynamical phase transition and the coexistence of distinct dynamical phases, by analogy with the correspondence between singularities of free energies and equilibrium phase behavior. Here we study models of driven random walkers on a lattice. These models display large-deviation singularities in the limit of large lattice size, but the extent to which each model's phenomenology resembles a phase transition depends on the details of the driving. We also compare the behavior of ergodic and non-ergodic models that present large-deviation singularities. We argue that dynamical large-deviation singularities indicate the divergence of a model timescale, but not necessarily one associated with cooperative behavior or the existence of distinct phases.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Rethinking Hybrid Retrieval: When Small Embeddings and LLM Re-ranking Beat Bigger Models

    cs.IR 2025-05 reject novelty 4.0 of 10

    In tri-modal hybrid retrieval with GPT-4o reranking, MiniLM-v6 matches or beats BGE-Large on SciFact, FIQA, and NFCorpus despite being far smaller.

Pith tools