Pith Number
pith:4ZB47YCL
pith:2019:4ZB47YCL5I7OMKV3B7T7I5A72B
not attested
not anchored
not stored
refs pending
The Poincar\'e-Boltzmann Machine: from Statistical Physics to Machine Learning and back
arxiv:1907.06486 v1 · 2019-07-06 · q-bio.NC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4ZB47YCL5I7OMKV3B7T7I5A72B}
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 | 2026-05-17T23:40:37.562797Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e643cfe04bea3ee62abb0fe7f4741fd051ea198a3fbd04f35039aa75f53298fc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4ZB47YCL5I7OMKV3B7T7I5A72B \
| 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: e643cfe04bea3ee62abb0fe7f4741fd051ea198a3fbd04f35039aa75f53298fc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a796dcf0ce5a0d792d4104ce129f8f6657a4100b3d643791c8aefc32572f3949",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2019-07-06T18:26:19Z",
"title_canon_sha256": "d31d38f2166960590c9320f81175574f2388fd2acd155476deb4844ae44fff80"
},
"schema_version": "1.0",
"source": {
"id": "1907.06486",
"kind": "arxiv",
"version": 1
}
}