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Pith Number

pith:STTMWM5W

pith:2018:STTMWM5WBY5JFAZR7HXX5WD5IO
not attested not anchored not stored refs pending

Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications

Alon Amid, Amir Gholami, Bichen Wu, Kiseok Kwon, Krste Asanovic, Kurt Keutzer

arxiv:1804.10642 v1 · 2018-04-20 · cs.DC

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\usepackage{pith}
\pithnumber{STTMWM5WBY5JFAZR7HXX5WD5IO}

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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 2026-05-18T00:17:16.000220Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

94e6cb33b60e3a928331f9ef7ed87d43b7de76d09214dc8b8be741449a27d3d7

Aliases

arxiv: 1804.10642 · arxiv_version: 1804.10642v1 · doi: 10.48550/arxiv.1804.10642 · pith_short_12: STTMWM5WBY5J · pith_short_16: STTMWM5WBY5JFAZR · pith_short_8: STTMWM5W
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/STTMWM5WBY5JFAZR7HXX5WD5IO \
  | 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: 94e6cb33b60e3a928331f9ef7ed87d43b7de76d09214dc8b8be741449a27d3d7
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "19ef661d5d315471d3cad4f4352fdf7300566cddab659f309cb94c16fcc79675",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2018-04-20T01:39:33Z",
    "title_canon_sha256": "d789740f78baf4ee1080ce1ff020ac7207fbb6da1695f126d3a985a20e5b3667"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1804.10642",
    "kind": "arxiv",
    "version": 1
  }
}