Pith Number
pith:6L7W5QI5
pith:2016:6L7W5QI5EPIMQCL7UGVF2RUL6W
not attested
not anchored
not stored
refs pending
Low Complexity Sparse Bayesian Learning Using Combined BP and MF with a Stretched Factor Graph
arxiv:1602.07762 v1 · 2016-02-25 · cs.IT · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6L7W5QI5EPIMQCL7UGVF2RUL6W}
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 | 2026-05-18T01:05:43.890535Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f2ff6ec11d23d0c8097fa1aa5d468bf5baa2381a08499fc80e73e60226dfbaca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6L7W5QI5EPIMQCL7UGVF2RUL6W \
| 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: f2ff6ec11d23d0c8097fa1aa5d468bf5baa2381a08499fc80e73e60226dfbaca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f7f75d047b8c250168f89c0dcdcf493aa83ec73c58a316b29619a7e8e9314852",
"cross_cats_sorted": [
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2016-02-25T01:13:17Z",
"title_canon_sha256": "62c0a196928dd3a5ffd34faa943b238571ff9271aa5d8514299daac4aad06903"
},
"schema_version": "1.0",
"source": {
"id": "1602.07762",
"kind": "arxiv",
"version": 1
}
}