Pith Number
pith:S7JLGHE3
pith:2021:S7JLGHE3K6YBLEUUG57RUGQKCI
not attested
not anchored
not stored
refs pending
Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization
arxiv:2109.06133 v1 · 2021-09-13 · cs.AI · cs.LG · cs.NE · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S7JLGHE3K6YBLEUUG57RUGQKCI}
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
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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 | 2026-07-05T03:13:45.909140Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
97d2b31c9b57b0159294377f1a1a0a122dee79671ff6195a8cbd4b21d0e6767c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S7JLGHE3K6YBLEUUG57RUGQKCI \
| 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: 97d2b31c9b57b0159294377f1a1a0a122dee79671ff6195a8cbd4b21d0e6767c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e8e025d498ae4ab72b2b93dede3daa6f8a85e327963858a4e5a37b13511fb8d5",
"cross_cats_sorted": [
"cs.LG",
"cs.NE",
"cs.PF"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2021-09-13T17:19:59Z",
"title_canon_sha256": "da7ca40db7f6cf6b11d512fb12cdd09de247be998ed45f5247d3a59c032d5c89"
},
"schema_version": "1.0",
"source": {
"id": "2109.06133",
"kind": "arxiv",
"version": 1
}
}