pith:6BEETD6C
The Joint Gromov Wasserstein Objective for Multiple Object Matching
The Joint Gromov-Wasserstein objective extends pairwise matching to simultaneous matching of multiple objects while remaining non-negative and convergent under point sampling.
arxiv:2511.16868 v2 · 2025-11-21 · cs.CV · q-bio.BM
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Record completeness
Claims
Our formulation provides a non-negative dissimilarity measure that identifies partially isomorphic distributions of mm-spaces, with point sampling convergence.
That collections of objects can be jointly represented as metric measure spaces whose joint matching admits the same convergence and non-negativity properties as the classical pairwise case without additional regularity conditions.
The Joint Gromov-Wasserstein (JGW) objective extends GW to collections of metric measure spaces, yielding a non-negative dissimilarity that detects partial isomorphisms with point-sampling convergence and admits entropic solvers for point clouds.
References
Receipt and verification
| First computed | 2026-05-18T03:09:33.060889Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f048498fc233f16149728dd2214cefd24d40feca20e68e36112d13c4e62bba81
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6BEETD6CGPYWCSLSRXJCCTHP2J \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f048498fc233f16149728dd2214cefd24d40feca20e68e36112d13c4e62bba81
Canonical record JSON
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