Pith Number
pith:IKJBZWMV
pith:2016:IKJBZWMVQERBZLLIJEATGFETC2
not attested
not anchored
not stored
refs pending
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition
arxiv:1609.05119 v1 · 2016-09-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IKJBZWMVQERBZLLIJEATGFETC2}
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 | 2026-05-18T00:48:59.842481Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
42921cd99581221cad68490133149316a44aa01ef179b630c5438846a18e84eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IKJBZWMVQERBZLLIJEATGFETC2 \
| 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: 42921cd99581221cad68490133149316a44aa01ef179b630c5438846a18e84eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee035650758e98654ace38717706ea5398be9685dd7eb1597a37e9ef698a0385",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-09-16T16:09:20Z",
"title_canon_sha256": "5bad31acff45cf0455ecc68743e905fba18aa510aa131f8abc36c58f368cc8ca"
},
"schema_version": "1.0",
"source": {
"id": "1609.05119",
"kind": "arxiv",
"version": 1
}
}