Pith Number
pith:2YHM7KJE
pith:2022:2YHM7KJEWIFBJTNDLAGHHYIY77
not attested
not anchored
not stored
refs pending
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
arxiv:2202.02310 v1 · 2022-02-04 · cs.LG · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2YHM7KJEWIFBJTNDLAGHHYIY77}
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 | 2026-07-05T03:54:10.589506Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d60ecfa924b20a14cda3580c73e118ffe8ff43f993ff3d4239b3ecac59ef110c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2YHM7KJEWIFBJTNDLAGHHYIY77 \
| 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: d60ecfa924b20a14cda3580c73e118ffe8ff43f993ff3d4239b3ecac59ef110c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "15315ffe4bbfc4615aa1d33cf9d6291338bab773aab156704ed16586404c247d",
"cross_cats_sorted": [
"cs.AR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-02-04T18:48:36Z",
"title_canon_sha256": "0738f9f363fff9afc7accda93108f98dbaf9d4e0a4c6c19532956ed8a4744c79"
},
"schema_version": "1.0",
"source": {
"id": "2202.02310",
"kind": "arxiv",
"version": 1
}
}