Pith Number
pith:H4FACSR6
pith:2023:H4FACSR6Z2BW2DHDG7T4YTADYH
not attested
not anchored
not stored
refs pending
Semantic Strengthening of Neuro-Symbolic Learning
arxiv:2302.14207 v1 · 2023-02-28 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H4FACSR6Z2BW2DHDG7T4YTADYH}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:46:41.992854Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3f0a014a3ece836d0ce337e7cc4c03c1f2cc79e0bf4c40b24326f832f346d161
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H4FACSR6Z2BW2DHDG7T4YTADYH \
| 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: 3f0a014a3ece836d0ce337e7cc4c03c1f2cc79e0bf4c40b24326f832f346d161
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee0111b98b2effffb1e7773e042871246554e628082020bae0228066a52bf7ee",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-28T00:04:22Z",
"title_canon_sha256": "12642a238bd6a8fa9957401250f75347cdca9095890fce13228b6e9691ec6c3e"
},
"schema_version": "1.0",
"source": {
"id": "2302.14207",
"kind": "arxiv",
"version": 1
}
}