Pith Number
pith:22D4CSUA
pith:2025:22D4CSUAGXN4TTMN7DCMWQ2PEN
not attested
not anchored
not stored
refs pending
Learning from Heterogeneity: Generalizing Dynamic Facial Expression Recognition via Distributionally Robust Optimization
arxiv:2507.15765 v2 · 2025-07-21 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{22D4CSUAGXN4TTMN7DCMWQ2PEN}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:43:33.975569Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d687c14a8035dbc9cd8df8c4cb434f234198f16bf3b457f7f2d5a1fff9584384
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/22D4CSUAGXN4TTMN7DCMWQ2PEN \
| 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: d687c14a8035dbc9cd8df8c4cb434f234198f16bf3b457f7f2d5a1fff9584384
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dc6ae584d3deb45249276e373d9e25e2ad8d207aaa7d334c664b30d32624d66f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-21T16:21:47Z",
"title_canon_sha256": "166db4d2255c715f1d4c2a137eb8a7814d265a8ac18120f19a62bcc7d580dca0"
},
"schema_version": "1.0",
"source": {
"id": "2507.15765",
"kind": "arxiv",
"version": 2
}
}