Updated 34 min ago · first seen 11 Sept 2026
paper_01M294FNTKPGM08ZXVSXDYXDH0
- Published
- 11 Sept 2026
- T1 · 34 min ago
- arXiv
- 2609.10863
- T1 · 34 min ago
- Category
- cs.LG
- T1 · 34 min ago
Abstract
Continuous and discrete flow matching are usually treated as separate constructions. This paper identifies a duality between them: projecting continuous convex-interpolant paths with one-hot targets through a position-wise argmax yields discrete convex-interpolant paths. The result requires source laws with appropriate coordinate symmetry and boundary regularity, and it makes the continuous source distribution an explicit design choice for categorical generation. We derive the induced discrete interpolation behavior for Gaussian, bounded-uniform, and centered negative-exponential sources, showing that different source geometries lead to qualitatively different transition timing and vocabulary-size dependence. Small visual diagnostics and a short language-modeling pilot suggest that these source-design effects can also appear in learned transports and early generative quality.
Authors 1
Etrit Haxholli
Specification
- Official page
Source:arXiv (Atom API + RSS)T1observed 34 min agohigh
- Arxiv announce type
- new
Source:arXiv (Atom API + RSS)T1observed 34 min agohigh
- arXiv id
- 2609.10863
Source:arXiv (Atom API + RSS)T1observed 34 min agohigh
- Categories
- cs.LG, stat.ML
Source:arXiv (Atom API + RSS)T1observed 34 min agohigh
Source:arXiv (Atom API + RSS)T1observed 34 min agohigh
- Primary category
- cs.LG
Source:arXiv (Atom API + RSS)T1observed 34 min agohigh
- Published
- 11 Sept 2026
Source:arXiv (Atom API + RSS)T1observed 34 min agohigh
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Provenance
Attributed facts
9
Source tiers
T19
Freshest observation
34 min ago
Conflicts
None
No models linked to this paper yet.
- Authors
- Etrit Haxholli
As of
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Claim history · Published
Publishedpublished_at1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 11 Sept 2026 | → current | current | arXiv (Atom API + RSS)T1 | high | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
New paper: Flow Duality and Source Geometry for Categorical Generation
arxiv
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| arXiv (Atom API + RSS) | rss.arxiv.org/rss/cs.LG | feed | T1· Official | 34 min ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.