Pith Number
pith:74I5FQGP
pith:2020:74I5FQGPL2YJ435HNYV7DZTYRN
not attested
not anchored
not stored
refs pending
Longitudinal modeling of MS patient trajectories improves predictions of disability progression
arxiv:2011.04749 v1 · 2020-11-09 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{74I5FQGPL2YJ435HNYV7DZTYRN}
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 | 2026-07-05T01:50:39.949264Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff11d2c0cf5eb09e6fa76e2bf1e6788b64fcc35e65d44d43ef9053a987bebb28
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/74I5FQGPL2YJ435HNYV7DZTYRN \
| 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: ff11d2c0cf5eb09e6fa76e2bf1e6788b64fcc35e65d44d43ef9053a987bebb28
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2538be53c628ffed810ffb0144cd4c79a27e564150d88e4a289e03ffd73ed0df",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-11-09T20:48:00Z",
"title_canon_sha256": "a41bcda5d2f34024984729987f9a15fcdfce256844ea642ba5ff50ebb721d00c"
},
"schema_version": "1.0",
"source": {
"id": "2011.04749",
"kind": "arxiv",
"version": 1
}
}