Pith Number
pith:2ANR3RCR
pith:2019:2ANR3RCREY5AJTMEZKEUCQFIU4
not attested
not anchored
not stored
refs pending
Improving learnability of neural networks: adding supplementary axes to disentangle data representation
arxiv:1902.04205 v1 · 2019-02-12 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2ANR3RCREY5AJTMEZKEUCQFIU4}
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 | 2026-05-17T23:49:21.886208Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d01b1dc451263a04cd84ca894140a8a7333ba45232a30c4a709ee56b0a089159
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ANR3RCREY5AJTMEZKEUCQFIU4 \
| 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: d01b1dc451263a04cd84ca894140a8a7333ba45232a30c4a709ee56b0a089159
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5f4ff58bd349baa7155d98cd37db7356013d615839d44b8cff590fb16d8cf087",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-02-12T01:22:00Z",
"title_canon_sha256": "6007556ed16312a56e58958adad4aa8b044aec5b94cc96b8464773160c5b6847"
},
"schema_version": "1.0",
"source": {
"id": "1902.04205",
"kind": "arxiv",
"version": 1
}
}