Pith Number
pith:FP45OTWQ
pith:2022:FP45OTWQWESGSG5DW2KZJ4ZG6G
not attested
not anchored
not stored
refs pending
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
arxiv:2202.02647 v1 · 2022-02-05 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FP45OTWQWESGSG5DW2KZJ4ZG6G}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:54:31.491252Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2bf9d74ed0b124691ba3b69594f326f1b32608bf5993f4cca6d3ceb6a9a666dd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FP45OTWQWESGSG5DW2KZJ4ZG6G \
| 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: 2bf9d74ed0b124691ba3b69594f326f1b32608bf5993f4cca6d3ceb6a9a666dd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e484108b3fe12ce80a16248e55c7d45ff4430c827c62082f86888654e2e336fa",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-02-05T22:08:21Z",
"title_canon_sha256": "c6b5723a01cbf15f33781d2c5f1ced4e1ebcad669dafd5d1cba482d34f8e721c"
},
"schema_version": "1.0",
"source": {
"id": "2202.02647",
"kind": "arxiv",
"version": 1
}
}