Pith Number
pith:HHGMTGGI
pith:2016:HHGMTGGILDFZ7DQ6F5ERVMO7GC
not attested
not anchored
not stored
refs pending
Detecting Cognitive Appraisals from Facial Expressions for Interest Recognition
arxiv:1609.09761 v2 · 2016-09-30 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HHGMTGGILDFZ7DQ6F5ERVMO7GC}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-05-18T01:02:49.715431Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
39ccc998c858cb9f8e1e2f491ab1df30bfbb1519001d4b87f4a5bca738d4c17b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HHGMTGGILDFZ7DQ6F5ERVMO7GC \
| 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: 39ccc998c858cb9f8e1e2f491ab1df30bfbb1519001d4b87f4a5bca738d4c17b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "845c769788b3eeedb469e39e5423bb1b5b97e0c2269ce97c6aa7230d0f3ae1f0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2016-09-30T14:49:59Z",
"title_canon_sha256": "fdd98fab9e360d15d69e1c003d6442160430b47fb849118b610130ba05def726"
},
"schema_version": "1.0",
"source": {
"id": "1609.09761",
"kind": "arxiv",
"version": 2
}
}