Pith Number
pith:NMSF5IXL
pith:2026:NMSF5IXL6BEVQDNBHAPOOV6H4A
not attested
not anchored
not stored
refs pending
Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications
arxiv:2606.06288 v1 · 2026-06-04 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NMSF5IXL6BEVQDNBHAPOOV6H4A}
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 | 2026-06-05T01:15:40.622155Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b245ea2ebf049580da1381ee757c7e01e509e281bf2811eebc0bc6aebbc9a33
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NMSF5IXL6BEVQDNBHAPOOV6H4A \
| 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: 6b245ea2ebf049580da1381ee757c7e01e509e281bf2811eebc0bc6aebbc9a33
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8aee49989cd8193a5682216ad44d186edecd0a4ad44a8c74bf48641c7be82b96",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-06-04T15:25:51Z",
"title_canon_sha256": "1feca9ec6109b9265af3f4bb8e0d28f5464a184ac7afc64784018ebf6bb5b5bb"
},
"schema_version": "1.0",
"source": {
"id": "2606.06288",
"kind": "arxiv",
"version": 1
}
}