Pith Number
pith:TRBVIZMK
pith:2026:TRBVIZMKWUN3IRGLV2T3ZN3SJV
not attested
not anchored
not stored
refs pending
Geometric Second-Order Feature Correlation Learning for Self-Supervised Speech Emotion Recognition
arxiv:2606.06550 v1 · 2026-06-04 · cs.SD · cs.AI · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TRBVIZMKWUN3IRGLV2T3ZN3SJV}
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 | 2026-06-08T00:03:42.106975Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9c4354658ab51bb444cbaea7bcb7724d514000b385ed993aeeb7b3227deecdeb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TRBVIZMKWUN3IRGLV2T3ZN3SJV \
| 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: 9c4354658ab51bb444cbaea7bcb7724d514000b385ed993aeeb7b3227deecdeb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "749dcb5b2ed191384a1ebef9ff91f3931818ab62a2bb08173008598792ecdfa7",
"cross_cats_sorted": [
"cs.AI",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2026-06-04T08:18:38Z",
"title_canon_sha256": "855ad677108acdaf71e734f0f73adf00c5905d9f4f4a2742205aa59dc07f45ab"
},
"schema_version": "1.0",
"source": {
"id": "2606.06550",
"kind": "arxiv",
"version": 1
}
}