Pith Number
pith:AINVBES3
pith:2022:AINVBES3HFMGTALFUXIQ564LVV
not attested
not anchored
not stored
refs pending
Intelligent Spatial Interpolation-based Frost Prediction Methodology using Artificial Neural Networks with Limited Local Data
arxiv:2204.08465 v2 · 2022-04-15 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AINVBES3HFMGTALFUXIQ564LVV}
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
3
Author claim
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claim
4
Citations
5
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 | 2026-07-05T06:09:42.768156Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
021b50925b3958698165a5d10efb8bad7d0cda77d27b50883d0eca6d2c0a6f05
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AINVBES3HFMGTALFUXIQ564LVV \
| 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: 021b50925b3958698165a5d10efb8bad7d0cda77d27b50883d0eca6d2c0a6f05
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c2002118d5dfb7f08d01200259389343cead1b648a491b78974f9a4417b65d3b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-04-15T21:14:07Z",
"title_canon_sha256": "4a42bbdb5e2a3368b0cf5dfda320bda8ba4c5906e2e1f5a970fc2261848aedf9"
},
"schema_version": "1.0",
"source": {
"id": "2204.08465",
"kind": "arxiv",
"version": 2
}
}