Pith Number
pith:36FLXNQL
pith:2025:36FLXNQLNVWKTN6H4EZZTLPGXF
not attested
not anchored
not stored
refs pending
AnnoSense: A Framework for Physiological Emotion Data Collection in Everyday Settings for AI
arxiv:2508.02680 v1 · 2025-07-17 · cs.HC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{36FLXNQLNVWKTN6H4EZZTLPGXF}
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 | 2026-07-05T11:48:28.953141Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
df8abbb60b6d6ca9b7c7e13399ade6b9430b0969c76a2e50ba34534bc142dc81
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/36FLXNQLNVWKTN6H4EZZTLPGXF \
| 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: df8abbb60b6d6ca9b7c7e13399ade6b9430b0969c76a2e50ba34534bc142dc81
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5c64b64d7dfa341ecdb6e98e0da16f97c57c9afcec1fa7416338ca34e9e6d118",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2025-07-17T10:54:39Z",
"title_canon_sha256": "83d7a0aac62d1f19fbe1f32392c20d6ed7c985671f5e98a83237831c195884c8"
},
"schema_version": "1.0",
"source": {
"id": "2508.02680",
"kind": "arxiv",
"version": 1
}
}