Pith Number
pith:IQNAZWHC
pith:2023:IQNAZWHCO6KLR5WVFFJFC26G4K
not attested
not anchored
not stored
refs pending
GHOST: A Graph Neural Network Accelerator using Silicon Photonics
arxiv:2307.01782 v1 · 2023-07-04 · cs.AR · cs.AI · cs.ET · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQNAZWHCO6KLR5WVFFJFC26G4K}
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 | 2026-07-05T06:28:01.036064Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
441a0cd8e27794b8f6d52952516bc6e2b2e4f30b9699b00b2acab34453ae75ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQNAZWHCO6KLR5WVFFJFC26G4K \
| 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: 441a0cd8e27794b8f6d52952516bc6e2b2e4f30b9699b00b2acab34453ae75ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7f8f0757a5de306ca28aa0a1fedee26ed89eaa93f1e755d8feeaae92f7c1b286",
"cross_cats_sorted": [
"cs.AI",
"cs.ET",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.AR",
"submitted_at": "2023-07-04T15:37:20Z",
"title_canon_sha256": "5ba853d55ea0ab56e29254fa954cde2aa739ee8332f3324d340a1a1b13a691d8"
},
"schema_version": "1.0",
"source": {
"id": "2307.01782",
"kind": "arxiv",
"version": 1
}
}