The reviewed record of science sign in
Pith
Pith Number

pith:UDAA7B5E

pith:2019:UDAA7B5EHMFF35X27IIOSVDR2C
not attested not anchored not stored refs pending

High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning

Jinman Kim, Lei Bi, Mingyuan Meng, Shanlin Xiao, Xingyu Yang, Zhiyi Yu

arxiv:2001.01680 v5 · 2019-12-02 · cs.NE · cs.LG · q-bio.NC · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UDAA7B5EHMFF35X27IIOSVDR2C}

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 2026-07-05T04:58:13.598567Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a0c00f87a43b0a5df6fafa10e95471d0b4f44675497f062b12d24561e6886846

Aliases

arxiv: 2001.01680 · arxiv_version: 2001.01680v5 · doi: 10.48550/arxiv.2001.01680 · pith_short_12: UDAA7B5EHMFF · pith_short_16: UDAA7B5EHMFF35X2 · pith_short_8: UDAA7B5E
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UDAA7B5EHMFF35X27IIOSVDR2C \
  | 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: a0c00f87a43b0a5df6fafa10e95471d0b4f44675497f062b12d24561e6886846
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "175e4c8b26e492a51ec9e60d9b6f8b14b2e6416ba9f28978c05b9bcbd1f80e66",
    "cross_cats_sorted": [
      "cs.LG",
      "q-bio.NC",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2019-12-02T17:19:17Z",
    "title_canon_sha256": "92e393750ae78e862028c87c7e9000dc5640f230cefa477c4f650fa07d721745"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2001.01680",
    "kind": "arxiv",
    "version": 5
  }
}