Pith Number
pith:IXVTJCZK
pith:2022:IXVTJCZKGYDLXTTK2J3ODNQMPB
not attested
not anchored
not stored
refs pending
Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning
arxiv:2204.11769 v1 · 2022-04-25 · eess.IV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IXVTJCZKGYDLXTTK2J3ODNQMPB}
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 | 2026-07-05T04:17:31.407194Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
45eb348b2a3606bbce6ad276e1b60c7850c43912911a2f73a86092a77e0c0a41
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IXVTJCZKGYDLXTTK2J3ODNQMPB \
| 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: 45eb348b2a3606bbce6ad276e1b60c7850c43912911a2f73a86092a77e0c0a41
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "89296dacea091822b214e58d4bc4801f5eda552f1d20468c89699bd43defb904",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-04-25T16:37:25Z",
"title_canon_sha256": "105b8e32b9db38a6f58d2484e952c0bc8495b82e6f89f92bbb193c333a8ae569"
},
"schema_version": "1.0",
"source": {
"id": "2204.11769",
"kind": "arxiv",
"version": 1
}
}