Pith Number
pith:6I7QXJQF
pith:2026:6I7QXJQFUGW7N4IIG5NGVCAANN
not attested
not anchored
not stored
refs pending
Contrast-Free ICA and Causal Inference via Wasserstein Distances to the Gaussian
arxiv:2607.12832 v1 · 2026-07-14 · stat.ML · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6I7QXJQFUGW7N4IIG5NGVCAANN}
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 | 2026-07-15T01:22:20.717432Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f23f0ba605a1adf6f108375a6a88006b5ffa394cbdb249d8618b0175a0b3f4a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6I7QXJQFUGW7N4IIG5NGVCAANN \
| 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: f23f0ba605a1adf6f108375a6a88006b5ffa394cbdb249d8618b0175a0b3f4a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3033c34854af83d8764185cb228e1c5a13542ad87953ccfe9784fb8545b3c438",
"cross_cats_sorted": [
"stat.ME"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-07-14T14:49:31Z",
"title_canon_sha256": "b5239930602f62c6827641c94cfbd75e5d028b05520960ed8b5490549da0837c"
},
"schema_version": "1.0",
"source": {
"id": "2607.12832",
"kind": "arxiv",
"version": 1
}
}