Pith Number
pith:IMMJRWXQ
pith:2023:IMMJRWXQ63DV4LR2JFGK42NGOC
not attested
not anchored
not stored
refs pending
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
arxiv:2306.11180 v5 · 2023-06-19 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IMMJRWXQ63DV4LR2JFGK42NGOC}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T08:26:57.690440Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
431898daf0f6c75e2e3a494cae69a670982f0c18e0c4a37f7d8280352298e43f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IMMJRWXQ63DV4LR2JFGK42NGOC \
| 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: 431898daf0f6c75e2e3a494cae69a670982f0c18e0c4a37f7d8280352298e43f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "60aaac960440345ddfbbb9512de709ebee9b7b0a0307bbc45b98e4e76ad77f03",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-06-19T22:07:20Z",
"title_canon_sha256": "9084b15a641422cad561f851b5862d0b9a8ce9acf1abd53c72bc24f1e18e75a3"
},
"schema_version": "1.0",
"source": {
"id": "2306.11180",
"kind": "arxiv",
"version": 5
}
}