Pith Number
pith:74VN3TV2
pith:2023:74VN3TV2ITGGZLE4RB73R5LH7H
not attested
not anchored
not stored
refs pending
Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination
arxiv:2309.17172 v1 · 2023-09-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{74VN3TV2ITGGZLE4RB73R5LH7H}
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 | 2026-07-05T06:55:42.448622Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff2addceba44cc6cac9c887fb8f567f9c50bea5fb026f141ee7ab7113d765a98
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/74VN3TV2ITGGZLE4RB73R5LH7H \
| 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: ff2addceba44cc6cac9c887fb8f567f9c50bea5fb026f141ee7ab7113d765a98
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a14fa22c7714621cbd2797348f4ade6da11aeb389c4e7f94fd625b4ce45bd51a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-09-29T12:11:16Z",
"title_canon_sha256": "ad55038508db591bec299b1846ceb11e42eff5a7679e687ce7efc43d4e710b5f"
},
"schema_version": "1.0",
"source": {
"id": "2309.17172",
"kind": "arxiv",
"version": 1
}
}