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Record W1987809901 · doi:10.5555/1873601.1873628

Recognizing a totally odd K4-subdivision, parity 2-disjoint rooted paths and a parity cycle through specified elements

2010· article· en· W1987809901 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

VenueSymposium on Discrete Algorithms · 2010
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Graph Theory Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsDisjoint setsCombinatoricsParity (physics)MathematicsAckermann functionTime complexitySubdivisionDiscrete mathematicsVertex (graph theory)GraphInverseGeometry

Abstract

fetched live from OpenAlex

A totally odd K4-subdivision is a subdivision of K4 where each subdivided edge has odd length. The recognition of a totally odd K4-subdivision plays an important role in both graph theory and combinatorial optimization. Sewell and Trotter [53], Zang [63] and Thomassen [60] independently conjectured the existence of a polynomial time recognition algorithm. In this paper, we give the first polynomial time algorithm for solving this problem.We also study the the parity two disjoint rooted paths problem where we determine if there exists two vertex disjoint paths of a specified parity between two pairs of terminals.Using a similar technique, we give an O(|E(G)||V(G)|α(|E(G)|,|V(G)|)) algorithm for the parity two disjoint rooted paths problem on an input graph G, where α(|E(G)|,|V(G)|) is the inverse of the Ackermann function. We note that this clearly gives an algorithm for the well-known non-parity version of the two disjoint rooted paths problem [19, 50, 52, 55, 58].We then extend our approach to give a polynomial time algorithm which determines, for any fixed k, whether there exists a cycle of a given parity through k independent input edges.This generalizes the non-parity version of the algorithm in [22]. Thomassen [61] gave a polynomial algorithm for the case k = 2 and hoped to use this algorithm to recognize a totally odd K4-subdivision. Our algorithm runs in O(|E(G)||V(G)|α(|E(G)|,|V(G)|)) for any fixed k.Finally, we give an O(|V(G)|2 + |E(G)|α(|E(G)|,|V(G)|log|V(G)|)) algorithm to decide whether a graph contains k disjoint paths from A to B (with |A| = |B| = k) that are not all of the same parity.This answers a conjecture of Thomassen [60]. This problem arises from the study of totally odd-K4-subdivisions in 3-connected graphs [60].

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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