Pith Number
pith:GM7VMSGF
pith:2020:GM7VMSGFL77RKDWHOAMGL3I2HE
not attested
not anchored
not stored
refs pending
Causal Inference using Gaussian Processes with Structured Latent Confounders
arxiv:2007.07127 v1 · 2020-07-14 · stat.ME · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GM7VMSGFL77RKDWHOAMGL3I2HE}
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
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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 | 2026-07-05T01:18:27.062806Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
333f5648c55fff150ec7701865ed1a391b3b5e2b5f7e998cda7cdd68d42586ad
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GM7VMSGFL77RKDWHOAMGL3I2HE \
| 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: 333f5648c55fff150ec7701865ed1a391b3b5e2b5f7e998cda7cdd68d42586ad
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2073029207c65d8ad54b466888302dd3731768d76dd68f15fa52bced3cf4a4da",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2020-07-14T15:45:28Z",
"title_canon_sha256": "ce5873b95e9cfad5a2aba94854c21b63cb460b0b329c5345411185621ad27c15"
},
"schema_version": "1.0",
"source": {
"id": "2007.07127",
"kind": "arxiv",
"version": 1
}
}