Pith Number
pith:2GQVBXKO
pith:2018:2GQVBXKOQAKBI4MGZKKGCIUA7P
not attested
not anchored
not stored
refs pending
How to Make Causal Inferences Using Texts
arxiv:1802.02163 v1 · 2018-02-06 · stat.ML · cs.CL · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2GQVBXKOQAKBI4MGZKKGCIUA7P}
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 | 2026-05-18T00:24:09.162034Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d1a150dd4e8014147186ca94612280fbdf4dc82e4142faf53c904df006930901
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2GQVBXKOQAKBI4MGZKKGCIUA7P \
| 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: d1a150dd4e8014147186ca94612280fbdf4dc82e4142faf53c904df006930901
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6e2a6d566156df92a403db164b5ee8cce769c97e7312cbacbeced7c866812ad",
"cross_cats_sorted": [
"cs.CL",
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-02-06T19:00:12Z",
"title_canon_sha256": "c4bea14ed22db3c32abd7c13f69bc2ab15798a050ffceeceac5ac07f5484c8fd"
},
"schema_version": "1.0",
"source": {
"id": "1802.02163",
"kind": "arxiv",
"version": 1
}
}