Pith Number
pith:B3GBLDZE
pith:2018:B3GBLDZEOOMWKLN7DFNCPPYHDA
not attested
not anchored
not stored
refs pending
Data-Driven Impulse Response Regularization via Deep Learning
arxiv:1801.08383 v2 · 2018-01-25 · cs.SY · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B3GBLDZEOOMWKLN7DFNCPPYHDA}
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
✓
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 | 2026-05-18T00:03:37.063559Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ecc158f247399652dbf195a27bf071823ec9bef88daf5b783a01da954db82a2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B3GBLDZEOOMWKLN7DFNCPPYHDA \
| 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: 0ecc158f247399652dbf195a27bf071823ec9bef88daf5b783a01da954db82a2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7dba39505a04a7b18715bcbd87d2a882eeedd42a6eb6758902009bc6ce46537a",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SY",
"submitted_at": "2018-01-25T12:48:41Z",
"title_canon_sha256": "3d7af636c0c6b3287e7587ade3bb052e161bb945ad3d7bc52c1e6ddd15e9b6c2"
},
"schema_version": "1.0",
"source": {
"id": "1801.08383",
"kind": "arxiv",
"version": 2
}
}