Pith Number
pith:TQGGDKJA
pith:2018:TQGGDKJAYIYBW4UTP527B5Q3JA
not attested
not anchored
not stored
refs pending
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition
arxiv:1812.02466 v1 · 2018-12-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TQGGDKJAYIYBW4UTP527B5Q3JA}
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 | 2026-05-17T23:58:55.631099Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9c0c61a920c2301b72937f75f0f61b481c61f9c6396623cd14920e74631c1e5b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TQGGDKJAYIYBW4UTP527B5Q3JA \
| 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: 9c0c61a920c2301b72937f75f0f61b481c61f9c6396623cd14920e74631c1e5b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65a692bc5a8d034d68b8054d9cecbd36eaf584993b974cc4826ccab503695f54",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-12-06T11:20:58Z",
"title_canon_sha256": "a761cbbae03080c7df39249e9bc7efb94b0471458d351975dc434857bcac6361"
},
"schema_version": "1.0",
"source": {
"id": "1812.02466",
"kind": "arxiv",
"version": 1
}
}