Pith Number
pith:FCNQ6ZA6
pith:2012:FCNQ6ZA6RUPV6JF6IHEU7C7UVV
not attested
not anchored
not stored
refs pending
Phase Field Models versus Parametric Front Tracking Methods: Are they accurate and computationally efficient?
arxiv:1212.2077 v1 · 2012-12-10 · physics.comp-ph · cond-mat.mtrl-sci · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FCNQ6ZA6RUPV6JF6IHEU7C7UVV}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T01:59:59.209154Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
289b0f641e8d1f5f24be41c94f8bf4ad736dafc66562f09f9b9edb83530f69fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FCNQ6ZA6RUPV6JF6IHEU7C7UVV \
| 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: 289b0f641e8d1f5f24be41c94f8bf4ad736dafc66562f09f9b9edb83530f69fb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3ba4fb80b723398e7e7ed374e3539f185284f503ce5153a9fe69b4b12425ae74",
"cross_cats_sorted": [
"cond-mat.mtrl-sci",
"math.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.comp-ph",
"submitted_at": "2012-12-10T14:28:35Z",
"title_canon_sha256": "def79fabe919a8a3faec2b4c994f5209c88983144c1a401053c2f4e442a638f6"
},
"schema_version": "1.0",
"source": {
"id": "1212.2077",
"kind": "arxiv",
"version": 1
}
}