Pith Number
pith:4JG2IW2Q
pith:2024:4JG2IW2QL7GOTYYNYLHKEM5Z2T
not attested
not anchored
not stored
refs pending
Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models
arxiv:2403.16331 v1 · 2024-03-24 · cs.SD · cs.LG · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4JG2IW2QL7GOTYYNYLHKEM5Z2T}
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 | 2026-07-05T08:00:14.014110Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e24da45b505fcce9e30dc2cea233b9d4d7b9f5055a8c4da3140a1eedb0133d34
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4JG2IW2QL7GOTYYNYLHKEM5Z2T \
| 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: e24da45b505fcce9e30dc2cea233b9d4d7b9f5055a8c4da3140a1eedb0133d34
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4ce55734e983ecb1ae9edac5eba58e9969e1e53082801a1f335240aa6b5d2bc2",
"cross_cats_sorted": [
"cs.LG",
"eess.AS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SD",
"submitted_at": "2024-03-24T23:50:15Z",
"title_canon_sha256": "69cb42ca26405d3c7a24f33128794dc1d89b7d0667bcc632cad7b699ac06a944"
},
"schema_version": "1.0",
"source": {
"id": "2403.16331",
"kind": "arxiv",
"version": 1
}
}