Pith Number
pith:OWHV4ZD4
pith:2025:OWHV4ZD4YIGDYIKUD7BBQBXSNI
not attested
not anchored
not stored
refs pending
Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR
arxiv:2505.13079 v1 · 2025-05-19 · eess.AS · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OWHV4ZD4YIGDYIKUD7BBQBXSNI}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:05:14.655901Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
758f5e647cc20c3c21541fc21806f26a0849418e0759b48ec8a6a2a9357fb7e1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OWHV4ZD4YIGDYIKUD7BBQBXSNI \
| 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: 758f5e647cc20c3c21541fc21806f26a0849418e0759b48ec8a6a2a9357fb7e1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5c6b25961d404de015ca3033773180db015d76c4c42e57b7a3d62073e09c6cef",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.AS",
"submitted_at": "2025-05-19T13:13:18Z",
"title_canon_sha256": "b18a62d4ade86850b4214cd06de3e22ee1ae1f0f57b17a5477f4b12407440e66"
},
"schema_version": "1.0",
"source": {
"id": "2505.13079",
"kind": "arxiv",
"version": 1
}
}