Pith Number
pith:PH5SCSF4
pith:2023:PH5SCSF45FQ5AKOUFEB2LRZAKU
not attested
not anchored
not stored
refs pending
What are the mechanisms underlying metacognitive learning?
arxiv:2302.04840 v1 · 2023-02-09 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PH5SCSF45FQ5AKOUFEB2LRZAKU}
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 | 2026-07-05T05:40:19.056305Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
79fb2148bce961d029d42903a5c720553beb79cfdd983d7478c76f346dc98e5c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PH5SCSF45FQ5AKOUFEB2LRZAKU \
| 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: 79fb2148bce961d029d42903a5c720553beb79cfdd983d7478c76f346dc98e5c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0167cab30c4d6fe33232e61b425a0309816a8deb1684a5739c04f285d024750d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-09T18:49:10Z",
"title_canon_sha256": "60f70b80db549dc984f53866f18661096061ac39ddec0f255fb90a4347953c7a"
},
"schema_version": "1.0",
"source": {
"id": "2302.04840",
"kind": "arxiv",
"version": 1
}
}