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Record W2296012640 · doi:10.7155/jgaa.00355

Point-Set Embedding in Three Dimensions

2015· article· en· W2296012640 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

VenueJournal of Graph Algorithms and Applications · 2015
Typearticle
Languageen
FieldComputer Science
TopicComputational Geometry and Mesh Generation
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsCombinatoricsBounded functionMathematicsEmbeddingGridMinimum bounding boxInteger (computer science)Point (geometry)GraphDiscrete mathematicsBounding overwatchGeometryComputer scienceMathematical analysisArtificial intelligence

Abstract

fetched live from OpenAlex

Given a graph $G$ with $n$ vertices and $m$ edges, and a set $P$ of $n$ points on a three-dimensional integer grid, the 3D Point-Set Embeddability problem is to determine a (three-dimensional) crossing-free drawing of $G$ with vertices located at $P$ and with edges drawn as poly-lines with bend-points at integer grid points. We solve a variant of the problem in which the points of $P$ lie on a plane. The resulting drawing lies in a bounding box of reasonable volume and uses at most $O(\log m)$ bends per edge. If a particular point-set $P$ is not specified, we show that the graph $G$ can be drawn crossing-free with at most $O(\log m)$ bends per edge in a volume bounded by $O((n+m) \log m)$. Our construction is asymptotically similar to previously known drawings, however avoids a possibly non-polynomial preprocessing step.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.677
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.030
GPT teacher head0.294
Teacher spread0.264 · 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