Pith Number
pith:TQCHUB3E
pith:2024:TQCHUB3E6UM6FSU4A4YVU4YNNB
not attested
not anchored
not stored
refs pending
Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach
arxiv:2410.09504 v5 · 2024-10-12 · stat.ME · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TQCHUB3E6UM6FSU4A4YVU4YNNB}
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
✓
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 | 2026-05-17T23:39:18.317919Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9c047a0764f519e2ca9c07315a730d68631437ce7ed6394c1b204f19715225c4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TQCHUB3E6UM6FSU4A4YVU4YNNB \
| 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: 9c047a0764f519e2ca9c07315a730d68631437ce7ed6394c1b204f19715225c4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "25404a020c2d1751f86256d9682d090b092e9935e59d0a23e9f4ed6e4a64fda8",
"cross_cats_sorted": [
"stat.CO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2024-10-12T11:45:14Z",
"title_canon_sha256": "2173a44e069e3c916215122f22ac32cde76e6c8e6ce0bf5f3c5f9b0c5974bc94"
},
"schema_version": "1.0",
"source": {
"id": "2410.09504",
"kind": "arxiv",
"version": 5
}
}