Pith Number
pith:P3QCPM2P
pith:2022:P3QCPM2PQRS7ME6YR5HFNWMQOF
not attested
not anchored
not stored
refs pending
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
arxiv:2202.06481 v3 · 2022-02-14 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P3QCPM2PQRS7ME6YR5HFNWMQOF}
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
✓
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 | 2026-07-05T04:18:30.214174Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7ee027b34f8465f613d88f4e56d99071486769ee71dd36a3ef1942dd7191af91
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P3QCPM2PQRS7ME6YR5HFNWMQOF \
| 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: 7ee027b34f8465f613d88f4e56d99071486769ee71dd36a3ef1942dd7191af91
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5ada8913120a71e4114cf205b5ee7954965801e86529f66e2cd7d8d5f1e7c31c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-02-14T04:44:44Z",
"title_canon_sha256": "6eccf858b221fcaa2e167cf860c95fae6444cd41351e17a6d6797d43f2aac76a"
},
"schema_version": "1.0",
"source": {
"id": "2202.06481",
"kind": "arxiv",
"version": 3
}
}