Pith Number
pith:P6EXTPPL
pith:2026:P6EXTPPLWXBLDATFBME4E4EDTE
not attested
not anchored
not stored
refs pending
Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition
arxiv:2603.29578 v2 · 2026-03-31 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P6EXTPPLWXBLDATFBME4E4EDTE}
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.
Receipt and verification
| First computed | 2026-06-24T01:14:27.379052Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f8979bdebb5c2b182650b09c270839905a08b709996e289bac229791fb73cf1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P6EXTPPLWXBLDATFBME4E4EDTE \
| 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: 7f8979bdebb5c2b182650b09c270839905a08b709996e289bac229791fb73cf1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "00da7d44d168d10f4402d38c5f7cb0eaf014020c6ab8f76921cefec43da83408",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-03-31T10:57:57Z",
"title_canon_sha256": "70d6874c5907579201e7059854d90d0661e0d1eb0a2e8b046cb989c4c2ac687a"
},
"schema_version": "1.0",
"source": {
"id": "2603.29578",
"kind": "arxiv",
"version": 2
}
}