Pith. sign in

REVIEW 2 cited by

Forbidding Edges between Points in the Plane to Disconnect the Triangulation Flip Graph

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 2206.02700 v1 pith:NAJZYQUL submitted 2022-06-06 cs.CG

classification cs.CG
keywords flipgraphpointsedgeedgestriangulationsconnectedconnectivity
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

The flip graph for a set $P$ of points in the plane has a vertex for every triangulation of $P$, and an edge when two triangulations differ by one flip that replaces one triangulation edge by another. The flip graph is known to have some connectivity properties: (1) the flip graph is connected; (2) connectivity still holds when restricted to triangulations containing some constrained edges between the points; (3) for $P$ in general position of size $n$, the flip graph is $\lceil \frac{n}{2} -2 \rceil$-connected, a recent result of Wagner and Welzl (SODA 2020). We introduce the study of connectivity properties of the flip graph when some edges between points are forbidden. An edge $e$ between two points is a flip cut edge if eliminating triangulations containing $e$ results in a disconnected flip graph. More generally, a set $X$ of edges between points of $P$ is a flip cut set if eliminating all triangulations that contain edges of $X$ results in a disconnected flip graph. The flip cut number of $P$ is the minimum size of a flip cut set. We give a characterization of flip cut edges that leads to an $O(n \log n)$ time algorithm to test if an edge is a flip cut edge and, with that as preprocessing, an $O(n)$ time algorithm to test if two triangulations are in the same connected component of the flip graph. For a set of $n$ points in convex position (whose flip graph is the 1-skeleton of the associahedron) we prove that the flip cut number is $n-3$.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

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

  1. A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals

    cs.AI 2025-02 reject novelty 5.0 of 10

    CAGSR uses cross-attention coverage, focus, and repetition penalties as a self-supervised reward to fine-tune LLMs with PPO, claiming gains over no-RL baselines.

  2. History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM

    cs.CL 2025-06 reject novelty 4.0 of 10

    History-aware cross-attention rewards for multi-turn and chain-of-thought fine-tuning claim +2 to +4 percent task gains and 3x latency wins, but the CoT reward as written is not computable for T5.

Pith tools