Pith Number
pith:3U5TWCZ5
pith:2023:3U5TWCZ53FQMSVQONVPCOZMO75
not attested
not anchored
not stored
refs pending
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
arxiv:2303.17768 v1 · 2023-03-31 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3U5TWCZ53FQMSVQONVPCOZMO75}
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 | 2026-07-05T07:26:36.765494Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dd3b3b0b3dd960c9560e6d5e27658eff5550fbc1979f7b1a8e704f498f34e535
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3U5TWCZ53FQMSVQONVPCOZMO75 \
| 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: dd3b3b0b3dd960c9560e6d5e27658eff5550fbc1979f7b1a8e704f498f34e535
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02e95eb5b0b4b340ba647e844a84eb9e27ca133870249015885d1b4d22e8ea71",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-03-31T02:10:30Z",
"title_canon_sha256": "3c93a6a3cffabacbd304519ba78f64174e727fededd0e197b9e999d917394b99"
},
"schema_version": "1.0",
"source": {
"id": "2303.17768",
"kind": "arxiv",
"version": 1
}
}