Pith Number
pith:MXUF3GD4
pith:2021:MXUF3GD4KRRKRKBG35BR3WJBLS
not attested
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refs pending
Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding
arxiv:2105.05345 v1 · 2021-05-11 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MXUF3GD4KRRKRKBG35BR3WJBLS}
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.
Receipt and verification
| First computed | 2026-07-05T02:39:50.048772Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65e85d987c5462a8a826df431dd9215c96c14f2f827672aac56364f7c89a3a45
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MXUF3GD4KRRKRKBG35BR3WJBLS \
| 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: 65e85d987c5462a8a826df431dd9215c96c14f2f827672aac56364f7c89a3a45
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "79a0141477b0837e6bd5b37e81d3b7db91e1b33b91942724e97e152b94db6876",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-05-11T21:17:13Z",
"title_canon_sha256": "3655e82a0668b1b1eaef2f6bb65c8daa96307244b3f8957e21dd055c37503be8"
},
"schema_version": "1.0",
"source": {
"id": "2105.05345",
"kind": "arxiv",
"version": 1
}
}