Pith Number
pith:F7CTW7YD
pith:2018:F7CTW7YDTW4JYQFSC6UD2RDZ4R
not attested
not anchored
not stored
refs pending
Inference, Learning, and Population Size: Projectivity for SRL Models
arxiv:1807.00564 v1 · 2018-07-02 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F7CTW7YDTW4JYQFSC6UD2RDZ4R}
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 | 2026-05-18T00:11:52.182077Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2fc53b7f039db89c40b217a83d4479e4561cfd4567866ae237d3a5c55543e497
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F7CTW7YDTW4JYQFSC6UD2RDZ4R \
| 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: 2fc53b7f039db89c40b217a83d4479e4561cfd4567866ae237d3a5c55543e497
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aff5aa9618119c9169b0c9a65b06284cc8202b44870e097b31335bef1b71952e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2018-07-02T09:40:00Z",
"title_canon_sha256": "b875e3f18db29597c12745e5bf33139cd6399c53ed44acb4020d71aa13e9e15f"
},
"schema_version": "1.0",
"source": {
"id": "1807.00564",
"kind": "arxiv",
"version": 1
}
}