Pith Number
pith:A2P7J3SJ
pith:2015:A2P7J3SJP45XCUQRV4MU6SLHH2
not attested
not anchored
not stored
refs pending
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction
arxiv:1506.04954 v1 · 2015-06-08 · cs.CV · cs.NA · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A2P7J3SJP45XCUQRV4MU6SLHH2}
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.
Receipt and verification
| First computed | 2026-05-18T01:48:05.394117Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
069ff4ee497f3b715211af194f49673e87175bbed61d783c23eaa00caa9c8163
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A2P7J3SJP45XCUQRV4MU6SLHH2 \
| 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: 069ff4ee497f3b715211af194f49673e87175bbed61d783c23eaa00caa9c8163
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "34d965405d782dfe5cb2130f74574356e513ef78e126af0b8cf507f70e170636",
"cross_cats_sorted": [
"cs.NA",
"math.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2015-06-08T08:55:28Z",
"title_canon_sha256": "6d68aa3bde19b88bcb09c86ecb15981bda730f1028bec9c5342cd061dd2d71a3"
},
"schema_version": "1.0",
"source": {
"id": "1506.04954",
"kind": "arxiv",
"version": 1
}
}