Pith Number
pith:6OXOPX33
pith:2019:6OXOPX33X67OVYD5IVXB5HYI2I
not attested
not anchored
not stored
refs pending
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
arxiv:1912.03960 v6 · 2019-12-09 · cs.LG · cs.MA · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6OXOPX33X67OVYD5IVXB5HYI2I}
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 | 2026-07-05T02:15:56.640834Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3aee7df7bbfbeeae07d456e1e9f08d234274057b191b2a443e9a2ed288260aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6OXOPX33X67OVYD5IVXB5HYI2I \
| 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: f3aee7df7bbfbeeae07d456e1e9f08d234274057b191b2a443e9a2ed288260aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8f886e57040efaae22b3cc31f00dd53595a9e8a623c99d25532f2e58e036eca2",
"cross_cats_sorted": [
"cs.MA",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-12-09T11:01:09Z",
"title_canon_sha256": "d9fbc1350d815b13e232e64c306bc3d984607f7e9dc7b2c67926f74096e49761"
},
"schema_version": "1.0",
"source": {
"id": "1912.03960",
"kind": "arxiv",
"version": 6
}
}