Pith Number
pith:ERSWMQAR
pith:2024:ERSWMQARJV4CRACC5CTQ2MJS3P
not attested
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not stored
refs pending
Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems
arxiv:2405.10426 v1 · 2024-05-16 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ERSWMQARJV4CRACC5CTQ2MJS3P}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:19:59.872428Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
24656640114d78288042e8a70d3132dbf619dbe16578b948183c97b3fc794166
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ERSWMQARJV4CRACC5CTQ2MJS3P \
| 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: 24656640114d78288042e8a70d3132dbf619dbe16578b948183c97b3fc794166
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9967f7b4c49f49ea7ba93ae9f973c7343e6108893e88d89ea25951bb7fa336c2",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-16T20:16:45Z",
"title_canon_sha256": "79ee96df17bf9b8434c079f6b0d9c1d64509827014abdf5d8b85b57aae36ad4f"
},
"schema_version": "1.0",
"source": {
"id": "2405.10426",
"kind": "arxiv",
"version": 1
}
}