pith. sign in
Pith Number

pith:B4I3PAAI

pith:2017:B4I3PAAIHOZRP42QVPYL3N46HZ
not attested not anchored not stored refs pending

A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications

Junjie Su, Li Du, Mau-Chung Frank Chang, Yilei Li, Yuan Du

arxiv:1709.05116 v1 · 2017-09-15 · cs.AR · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B4I3PAAIHOZRP42QVPYL3N46HZ}

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 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 2026-05-18T00:35:06.636590Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0f11b780083bb317f350abf0bdb79e3e703e090196aa272904a0643b57c2bb25

Aliases

arxiv: 1709.05116 · arxiv_version: 1709.05116v1 · doi: 10.48550/arxiv.1709.05116 · pith_short_12: B4I3PAAIHOZR · pith_short_16: B4I3PAAIHOZRP42Q · pith_short_8: B4I3PAAI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B4I3PAAIHOZRP42QVPYL3N46HZ \
  | 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: 0f11b780083bb317f350abf0bdb79e3e703e090196aa272904a0643b57c2bb25
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "ef4dd19d21563f889907c9b1ee6c58ae86d30d74c8801da4eee3196671578d2c",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AR",
    "submitted_at": "2017-09-15T09:03:42Z",
    "title_canon_sha256": "f1343bc6cd87382933710bf726ce6716972088002e5fafc626c1d8b3af5a2ca1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1709.05116",
    "kind": "arxiv",
    "version": 1
  }
}