Pith Number
pith:STG2KHYF
pith:2022:STG2KHYF3UZZ4W2PMNCRBIAMOL
not attested
not anchored
not stored
refs pending
Towards Understanding How Machines Can Learn Causal Overhypotheses
arxiv:2206.08353 v1 · 2022-06-16 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{STG2KHYF3UZZ4W2PMNCRBIAMOL}
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.
Receipt and verification
| First computed | 2026-07-05T04:32:24.711667Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
94cda51f05dd339e5b4f634510a00c72ec5dd9b3622d0dd4d024146325523144
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/STG2KHYF3UZZ4W2PMNCRBIAMOL \
| 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: 94cda51f05dd339e5b4f634510a00c72ec5dd9b3622d0dd4d024146325523144
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "80eab9a2a4f536bb9d290bfb3564e7e57be8f7c95f6a72cc91084c711d9dcce5",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-16T17:54:16Z",
"title_canon_sha256": "ea66c01520f91dc2163c07e2b3bc85b703b4d2b973f1c460ee96a6a873cb5b5c"
},
"schema_version": "1.0",
"source": {
"id": "2206.08353",
"kind": "arxiv",
"version": 1
}
}