Pith Number
pith:FUYQFGI3
pith:2022:FUYQFGI3BIBABTJ7X22PFJWO5N
not attested
not anchored
not stored
refs pending
Learning Causal Overhypotheses through Exploration in Children and Computational Models
arxiv:2202.10430 v1 · 2022-02-21 · cs.LG · cs.AI · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FUYQFGI3BIBABTJ7X22PFJWO5N}
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 | 2026-07-05T03:58:42.337899Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d3102991b0a0200cd3fbeb4f2a6ceeb75bb5e819b9031eb5f848d3f79423498
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FUYQFGI3BIBABTJ7X22PFJWO5N \
| 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: 2d3102991b0a0200cd3fbeb4f2a6ceeb75bb5e819b9031eb5f848d3f79423498
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbac569e9ff5aa264afcfae7e9f6c7dd7c43924bd44eb5f7502dcb29ddda0801",
"cross_cats_sorted": [
"cs.AI",
"cs.NE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-02-21T18:43:58Z",
"title_canon_sha256": "f428a326b2c25e8b87da51c190a0959f8bf82e044706b87504ef365fd2de0241"
},
"schema_version": "1.0",
"source": {
"id": "2202.10430",
"kind": "arxiv",
"version": 1
}
}