Pith Number
pith:IIVFNHGS
pith:2016:IIVFNHGSXC2EOPFIE3M2TISIU5
not attested
not anchored
not stored
refs pending
Predicting Performance on MOOC Assessments using Multi-Regression Models
arxiv:1605.02269 v1 · 2016-05-08 · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IIVFNHGSXC2EOPFIE3M2TISIU5}
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 | 2026-05-18T01:15:21.480371Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
422a569cd2b8b4473ca826d9a9a248a745ac8edd5cefcc3327ec386b6f5a1ff1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IIVFNHGSXC2EOPFIE3M2TISIU5 \
| 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: 422a569cd2b8b4473ca826d9a9a248a745ac8edd5cefcc3327ec386b6f5a1ff1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "28e466497030de4fb615420dcb2e02ecc4d7723b27ddd29e5e1fa2f7b146fa6c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2016-05-08T04:00:31Z",
"title_canon_sha256": "f79666258cd6bff0da7ff0533816b08d0b93450bdf5313f5661140b154e37fb1"
},
"schema_version": "1.0",
"source": {
"id": "1605.02269",
"kind": "arxiv",
"version": 1
}
}