Pith Number
pith:ONMC7MWP
pith:2024:ONMC7MWPWQNNHQIE4C6IIM2GAD
not attested
not anchored
not stored
refs pending
Achieving High Throughput with a Trainable Neural-Network-Based Equalizer for Communications on FPGA
arxiv:2407.02967 v1 · 2024-07-03 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ONMC7MWPWQNNHQIE4C6IIM2GAD}
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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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:39:44.369484Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
73582fb2cfb41ad3c104e0bc84334600d9db26255ac04d55d6841d7c01d5f271
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ONMC7MWPWQNNHQIE4C6IIM2GAD \
| 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: 73582fb2cfb41ad3c104e0bc84334600d9db26255ac04d55d6841d7c01d5f271
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ab92b923e24d6921bc3e579399638bf98302f128780f570096f85e8fabb996d7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2024-07-03T10:03:03Z",
"title_canon_sha256": "a0630965848eb8e2f560a8ee961af29edd6970d195abc0c573e5ab06084003f8"
},
"schema_version": "1.0",
"source": {
"id": "2407.02967",
"kind": "arxiv",
"version": 1
}
}