Pith Number
pith:ESNZE6FF
pith:2020:ESNZE6FF56KCWU5NYJDWDGYGFY
not attested
not anchored
not stored
refs pending
Enhancing End-to-End Multi-channel Speech Separation via Spatial Feature Learning
arxiv:2003.03927 v2 · 2020-03-09 · eess.AS · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ESNZE6FF56KCWU5NYJDWDGYGFY}
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
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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 | 2026-07-05T00:47:41.214362Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
249b9278a5ef942b53adc247619b062e3d43fdc8d585d1c0b85002996faa25df
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ESNZE6FF56KCWU5NYJDWDGYGFY \
| 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: 249b9278a5ef942b53adc247619b062e3d43fdc8d585d1c0b85002996faa25df
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e8b515d0a83d185c60735d288616d1d8a03591084921b828b43432efe0c2afa",
"cross_cats_sorted": [
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.AS",
"submitted_at": "2020-03-09T05:28:20Z",
"title_canon_sha256": "47247fa932624cf150c49af996ef2fe48fd675e7d76970b61f15dfa50e2e15d1"
},
"schema_version": "1.0",
"source": {
"id": "2003.03927",
"kind": "arxiv",
"version": 2
}
}