Pith Number
pith:FXNDGHEN
pith:2017:FXNDGHENI6AVN3DOZDNDMRJ3Q5
not attested
not anchored
not stored
refs pending
Deep Neural Network Approximation using Tensor Sketching
arxiv:1710.07850 v1 · 2017-10-21 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FXNDGHENI6AVN3DOZDNDMRJ3Q5}
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
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claim
4
Citations
5
Replications
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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 | 2026-05-18T00:32:19.554746Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2dda331c8d478156ec6ec8da36453b875371916229f455614851396d8102718f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FXNDGHENI6AVN3DOZDNDMRJ3Q5 \
| 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: 2dda331c8d478156ec6ec8da36453b875371916229f455614851396d8102718f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e68f26465c55787fcd4abf2c066ff1a4bcdec9c80f35a60510f4e4581a7eca81",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-10-21T20:14:00Z",
"title_canon_sha256": "ffe6c0e49c2e8acebc47488c7d5405c4990f8f35cec2bd28956364d19d9be82b"
},
"schema_version": "1.0",
"source": {
"id": "1710.07850",
"kind": "arxiv",
"version": 1
}
}