Pith Number
pith:AYYMEK3N
pith:2020:AYYMEK3NR2AJ7UCULYQ3K2ECOX
not attested
not anchored
not stored
refs pending
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems
arxiv:2011.02322 v1 · 2020-11-04 · eess.SP · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AYYMEK3NR2AJ7UCULYQ3K2ECOX}
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 | 2026-07-05T01:49:11.514099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0630c22b6d8e809fd0545e21b5688275fe8a8e8af90c7f3ea7ba28b1fdf3cb7e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AYYMEK3NR2AJ7UCULYQ3K2ECOX \
| 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: 0630c22b6d8e809fd0545e21b5688275fe8a8e8af90c7f3ea7ba28b1fdf3cb7e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39ec463bbb1e0197e943f9af1d8af487ad7c9fda4f505494ecd4482517d99bea",
"cross_cats_sorted": [
"cs.LG",
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2020-11-04T14:42:41Z",
"title_canon_sha256": "298d48a006d16ef3bdbbc08e6f28603fc4109952bd5cd5960f179cee72b78f1c"
},
"schema_version": "1.0",
"source": {
"id": "2011.02322",
"kind": "arxiv",
"version": 1
}
}