Pith Number
pith:GYVJIFJW
pith:2016:GYVJIFJW723G4HRAFEEHUCRI65
not attested
not anchored
not stored
refs pending
Unsupervised Watertight Mesh Generation for Physics Simulation Applications Using Growing Neural Gas on Noisy Free-Form Object Models
arxiv:1603.00663 v2 · 2016-03-02 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GYVJIFJW723G4HRAFEEHUCRI65}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
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4
Citations
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Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-05-18T01:06:20.843682Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
362a941536feb66e1e2029087a0a28f74649f75d8c2a3c6f9c65e9a329710925
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GYVJIFJW723G4HRAFEEHUCRI65 \
| 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: 362a941536feb66e1e2029087a0a28f74649f75d8c2a3c6f9c65e9a329710925
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "28b1fe630dee7deed69a84e7b3ce00cd4c687b954e0dc7641933b1f910b42edf",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2016-03-02T11:34:06Z",
"title_canon_sha256": "36156413b7ddd388f0325c28729790dd48b33b7db8ea23b0bcd68c4c879bcb36"
},
"schema_version": "1.0",
"source": {
"id": "1603.00663",
"kind": "arxiv",
"version": 2
}
}