Pith Number
pith:P3T2EV4K
pith:2016:P3T2EV4KPVBTIS7XFFD7RHEVSV
not attested
not anchored
not stored
refs pending
Can mobile usage predict illiteracy in a developing country?
arxiv:1607.01337 v1 · 2016-07-05 · cs.AI · cs.CY · cs.SI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P3T2EV4KPVBTIS7XFFD7RHEVSV}
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 | 2026-05-18T01:11:29.808029Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7ee7a2578a7d43344bf72947f89c959577b7dc3e02df904548c171c1eb71f025
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P3T2EV4KPVBTIS7XFFD7RHEVSV \
| 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: 7ee7a2578a7d43344bf72947f89c959577b7dc3e02df904548c171c1eb71f025
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f223e7edfe079db97cb40e7d90f555ee99f06b831392fc3850d5a31d152b3870",
"cross_cats_sorted": [
"cs.CY",
"cs.SI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-07-05T17:22:18Z",
"title_canon_sha256": "e2b9331edcf82b248a0d86be14b1540659ca509a2ed11ba842fe329a938114d0"
},
"schema_version": "1.0",
"source": {
"id": "1607.01337",
"kind": "arxiv",
"version": 1
}
}