Pith Number
pith:MN4YHSD5
pith:2017:MN4YHSD5P3LHX7CJLRLLRMT4V3
not attested
not anchored
not stored
refs pending
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes
arxiv:1711.08580 v2 · 2017-11-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MN4YHSD5P3LHX7CJLRLLRMT4V3}
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 | 2026-05-18T00:29:00.871616Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
637983c87d7ed67bfc495c56b8b27caedc2dda005c04bc1dec9414ac7dad3da0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MN4YHSD5P3LHX7CJLRLLRMT4V3 \
| 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: 637983c87d7ed67bfc495c56b8b27caedc2dda005c04bc1dec9414ac7dad3da0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3fffb6ce91df1bcc4f1f3d7bd0b153e9f8b5203ab8ae52500bbaf082e0f0bc70",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-23T05:30:08Z",
"title_canon_sha256": "65af4354aa4b78472e4ae399bd15567d405c55fdd459c739cca9f285643edc67"
},
"schema_version": "1.0",
"source": {
"id": "1711.08580",
"kind": "arxiv",
"version": 2
}
}