Pith Number
pith:QGYOHDLQ
pith:2025:QGYOHDLQDRR5SKPSV5CKZBXWOO
not attested
not anchored
not stored
refs pending
Reinforcement Learning for Unsupervised Domain Adaptation in Spatio-Temporal Echocardiography Segmentation
arxiv:2510.14244 v2 · 2025-10-16 · eess.IV · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QGYOHDLQDRR5SKPSV5CKZBXWOO}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-05-18T03:10:11.998391Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
81b0e38d701c63d929f2af44ac86f6739682fe27c7311151236bb3047801f7a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QGYOHDLQDRR5SKPSV5CKZBXWOO \
| 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: 81b0e38d701c63d929f2af44ac86f6739682fe27c7311151236bb3047801f7a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "70b488214e82cb68ec82b9292ba4fbd1318a66fc95c4c6ce005e2e2ea6d994a6",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-10-16T02:55:04Z",
"title_canon_sha256": "8e2a01014be0384e9558e0b9dbfd8791f266bb3fd8367987811e0ec330079ba2"
},
"schema_version": "1.0",
"source": {
"id": "2510.14244",
"kind": "arxiv",
"version": 2
}
}