Pith Number
pith:5FDGVAYC
pith:2023:5FDGVAYCNW5SRWGMOYN64D7WZ4
not attested
not anchored
not stored
refs pending
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm
arxiv:2312.15138 v2 · 2023-12-23 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5FDGVAYCNW5SRWGMOYN64D7WZ4}
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 | 2026-07-05T08:13:10.943048Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9466a83026dbb28d8cc761bee0ff6cf2f48d79e19e6c837d4f9c03144f8bbb2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5FDGVAYCNW5SRWGMOYN64D7WZ4 \
| 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: e9466a83026dbb28d8cc761bee0ff6cf2f48d79e19e6c837d4f9c03144f8bbb2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c2ce92a6dc4d9c8841d99c5139ea0f3e6db12ac8a529213b48897394b2cf35f7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-12-23T02:24:59Z",
"title_canon_sha256": "68f6760626f0493d51cffbe1f1cecd6bfca2d8d1dc3e624b79b7ae447dc81bbf"
},
"schema_version": "1.0",
"source": {
"id": "2312.15138",
"kind": "arxiv",
"version": 2
}
}