Pith Number
pith:UL4JM2ZR
pith:2017:UL4JM2ZRXKCOW3NQHTZKUZRCGZ
not attested
not anchored
not stored
refs pending
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
arxiv:1703.02161 v2 · 2017-03-07 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UL4JM2ZRXKCOW3NQHTZKUZRCGZ}
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.
Receipt and verification
| First computed | 2026-05-18T00:42:23.496080Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a2f8966b31ba84eb6db03cf2aa662236753350117bcc2e60f6fa9aefebd09dc0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UL4JM2ZRXKCOW3NQHTZKUZRCGZ \
| 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: a2f8966b31ba84eb6db03cf2aa662236753350117bcc2e60f6fa9aefebd09dc0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d55544be60e071cd9e67cb19a7c4417272043145215b5379669ae57c880ba394",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-03-07T00:49:27Z",
"title_canon_sha256": "d447425e87bdb4a92fba269f76054ee0b86d2a179b3e1c391cb8d9aef8ee836f"
},
"schema_version": "1.0",
"source": {
"id": "1703.02161",
"kind": "arxiv",
"version": 2
}
}