pith. sign in
Pith Number

pith:XEFZ7NDY

pith:2016:XEFZ7NDYSNUSRI7AHIWEAHD2KT
not attested not anchored not stored refs pending

Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks

Bodo Rueckauer, Iulia-Alexandra Lungu, Michael Pfeiffer, Yuhuang Hu

arxiv:1612.04052 v1 · 2016-12-13 · stat.ML · cs.CV · cs.LG · cs.NE

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XEFZ7NDYSNUSRI7AHIWEAHD2KT}

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 2026-05-18T00:55:05.685639Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b90b9fb478936928a3e03a2c401c7a54cc782c42dc85a7e586d972127d961053

Aliases

arxiv: 1612.04052 · arxiv_version: 1612.04052v1 · doi: 10.48550/arxiv.1612.04052 · pith_short_12: XEFZ7NDYSNUS · pith_short_16: XEFZ7NDYSNUSRI7A · pith_short_8: XEFZ7NDY
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XEFZ7NDYSNUSRI7AHIWEAHD2KT \
  | 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: b90b9fb478936928a3e03a2c401c7a54cc782c42dc85a7e586d972127d961053
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "8b19213f12ba087ef7831b05dcda6ca7551bc9b6e4e5ae64f43f701764ff5475",
    "cross_cats_sorted": [
      "cs.CV",
      "cs.LG",
      "cs.NE"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-12-13T07:58:34Z",
    "title_canon_sha256": "5b6d12110542413834281c743bd3e03589a658b97455f5a228f5efcadf3a8d12"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1612.04052",
    "kind": "arxiv",
    "version": 1
  }
}