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Pith Number

pith:445VCP7N

pith:2023:445VCP7NDGC4472NLGENQDMWTB
not attested not anchored not stored refs pending

Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures

Aleksandre Avaliani, Marco Donato, Zirui Fu

arxiv:2303.16100 v2 · 2023-03-25 · cs.LG · cs.AR

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\usepackage{pith}
\pithnumber{445VCP7NDGC4472NLGENQDMWTB}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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 2026-07-05T06:00:37.007075Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

e73b513fed1985ce7f4d5988d80d969873453f1328b998402c9a996aa1fc5150

Aliases

arxiv: 2303.16100 · arxiv_version: 2303.16100v2 · doi: 10.48550/arxiv.2303.16100 · pith_short_12: 445VCP7NDGC4 · pith_short_16: 445VCP7NDGC4472N · pith_short_8: 445VCP7N
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/445VCP7NDGC4472NLGENQDMWTB \
  | 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: e73b513fed1985ce7f4d5988d80d969873453f1328b998402c9a996aa1fc5150
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "61c3e704be282fc740e85e77e4467fefe6878d3c518586f66c617258101830ad",
    "cross_cats_sorted": [
      "cs.AR"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-03-25T14:40:59Z",
    "title_canon_sha256": "d41a771574a2097dc377e219ea1b16116da35f03a162bea8a30e4df2a60385a1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2303.16100",
    "kind": "arxiv",
    "version": 2
  }
}