Pith Number
pith:AHXJIUB5
pith:2017:AHXJIUB5MLVDQRR72X55XPECNC
not attested
not anchored
not stored
refs pending
Critical Points of Neural Networks: Analytical Forms and Landscape Properties
arxiv:1710.11205 v1 · 2017-10-30 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AHXJIUB5MLVDQRR72X55XPECNC}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:31:44.576952Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01ee94503d62ea38463fd5fbdbbc8268bb6cddc0c37fc1cd0570abc6920650f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AHXJIUB5MLVDQRR72X55XPECNC \
| 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: 01ee94503d62ea38463fd5fbdbbc8268bb6cddc0c37fc1cd0570abc6920650f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cf5307c7212139b43a1520cbc608dcfd3723039d2b06fda3335a057bf326c4df",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-10-30T19:18:43Z",
"title_canon_sha256": "160ada277d650c2f751cdf4a1386e1a600bebd3c28b272175569336b709e6285"
},
"schema_version": "1.0",
"source": {
"id": "1710.11205",
"kind": "arxiv",
"version": 1
}
}