Pith Number
pith:KS3YRF4Y
pith:2018:KS3YRF4YZVIOYKT7LECCDCJTX7
not attested
not anchored
not stored
refs pending
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape Analysis
arxiv:1810.10330 v1 · 2018-10-16 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KS3YRF4YZVIOYKT7LECCDCJTX7}
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 | 2026-05-18T00:02:23.512103Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
54b7889798cd50ec2a7f5904218933bfec325234412964ff41c684a0004a0ad9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KS3YRF4YZVIOYKT7LECCDCJTX7 \
| 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: 54b7889798cd50ec2a7f5904218933bfec325234412964ff41c684a0004a0ad9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "09f47f71b08a3727e317bb391a5732f9f51fb77b4b6d5ab01bdd83fe79d0bd83",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-10-16T11:35:16Z",
"title_canon_sha256": "0b963e3859f8c944b68bdd38874877c8cae710ae065c76811be79e7c9f63c32c"
},
"schema_version": "1.0",
"source": {
"id": "1810.10330",
"kind": "arxiv",
"version": 1
}
}