Pith Number
pith:L7CNH4RH
pith:2026:L7CNH4RHWBBY3ZBB5EAKV4CY6I
not attested
not anchored
not stored
refs pending
Accounting for AI Inference in Corporate GHG Inventories: A Four-Tier Methodology for Scope 3 Category 1 Reporting
arxiv:2606.10660 v1 · 2026-06-09 · cs.CY · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L7CNH4RHWBBY3ZBB5EAKV4CY6I}
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 | 2026-06-10T01:10:32.942913Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5fc4d3f227b0438de421e900aaf058f20f527f7adf2f2f84069df0d4a749d672
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L7CNH4RHWBBY3ZBB5EAKV4CY6I \
| 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: 5fc4d3f227b0438de421e900aaf058f20f527f7adf2f2f84069df0d4a749d672
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f49b17c7fe9d9fea9dc35405d5adf822b3de396ea38a55fe892aa097f911e2b6",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2026-06-09T10:08:36Z",
"title_canon_sha256": "a6a55b236fb733b9988414e8cfb1ce08b01de33148d4769ee2cbe47f913bc559"
},
"schema_version": "1.0",
"source": {
"id": "2606.10660",
"kind": "arxiv",
"version": 1
}
}