Pith Number
pith:GBLK4RNC
pith:2026:GBLK4RNCMQ74EZV3UZGOMUW6K2
not attested
not anchored
not stored
refs pending
Detecting High-Potential SMEs with Heterogeneous Graph Neural Networks
arxiv:2602.19591 v3 · 2026-02-23 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GBLK4RNCMQ74EZV3UZGOMUW6K2}
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
· sign in to
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.
Cited by
Receipt and verification
| First computed | 2026-06-19T16:11:21.062249Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3056ae45a2643fc266bba64ce652de56a44b911acbaee1788c76b2632b814c3c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GBLK4RNCMQ74EZV3UZGOMUW6K2 \
| 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: 3056ae45a2643fc266bba64ce652de56a44b911acbaee1788c76b2632b814c3c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bc9b56859a8ac0e29bf402225506e34e85e0b1adc0c369af2d819cd453b634a4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-02-23T08:35:55Z",
"title_canon_sha256": "b16440bbc5c82eb3f9e0fdd27db69baef433819c9ab7c90a9521651db954539a"
},
"schema_version": "1.0",
"source": {
"id": "2602.19591",
"kind": "arxiv",
"version": 3
}
}