Pith Number
pith:7UCAAGY7
pith:2018:7UCAAGY7ZTANKCIV4FV7NTVLLN
not attested
not anchored
not stored
refs pending
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data
arxiv:1802.00029 v1 · 2018-01-31 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7UCAAGY7ZTANKCIV4FV7NTVLLN}
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 | 2026-05-18T00:14:46.371523Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd04001b1fccc0d50915e16bf6ceab5b43f1c8295c2b4dec78637747c50d0b0d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7UCAAGY7ZTANKCIV4FV7NTVLLN \
| 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: fd04001b1fccc0d50915e16bf6ceab5b43f1c8295c2b4dec78637747c50d0b0d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9e5ed2eb89a348612619d2d684cb456ae122e0f332d6b2d55b55fdec0e9786ed",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2018-01-31T19:26:27Z",
"title_canon_sha256": "69b87688952d289b994a004e0206d5709ed03f41677cfb967895ee8f1391dc02"
},
"schema_version": "1.0",
"source": {
"id": "1802.00029",
"kind": "arxiv",
"version": 1
}
}