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Record W2964890137

Spatial and Network Effects in Distributed System Design

2019· article· en· W2964890137 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAPS March Meeting Abstracts · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicScientific Research and Discoveries
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer scienceVariety (cybernetics)Focus (optics)Network topologyTopology (electrical circuits)Distributed computingTheoretical computer scienceRouting (electronic design automation)ComputationObservableArtificial intelligenceAlgorithmEngineering
DOInot available

Abstract

fetched live from OpenAlex

Designing a modern complex system requires keeping track of the interplay of the system's logical topology, spatial arrangement, and functionality. Existing frameworks mostly focus on how one of these aspects influences others in a single direction, rather than keeping track of the mutually deterministic nature of design elements. We demonstrate how to determine mutual influences of topology and spatial constraints on each other for a whole ensemble of possible system arrangements. We cast this problem in the modern graphical language of tensor networks, which facilitates computation and allows for extracting a variety of ensemble observables. We demonstrate the power of the approach on a model system routing problem from Naval Engineering, however the method is easily generalizable to other problems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.442

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.252
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it