Pith. sign in
Pith Number

pith:AQR4BLFB

pith:2024:AQR4BLFBQCK4AHMAIZ2LZD6S2G
not attested not anchored not stored refs pending

Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks

Argyris Kokkinis, Georgios Tzimpragos, Georgios Zervakis, Kostas Siozios, Mehdi Tahoori, Panagiotis Papanikolaou, Vojtech Mrazek, Zdenek Vasicek

arxiv:2407.20589 v1 · 2024-07-30 · cs.AR

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AQR4BLFBQCK4AHMAIZ2LZD6S2G}

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 2026-07-05T08:50:15.228868Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0423c0aca18095c01d804674bc8fd2d18a5e6a2e748b2ff6a2f57986c91afcf5

Aliases

arxiv: 2407.20589 · arxiv_version: 2407.20589v1 · doi: 10.48550/arxiv.2407.20589 · pith_short_12: AQR4BLFBQCK4 · pith_short_16: AQR4BLFBQCK4AHMA · pith_short_8: AQR4BLFB
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQR4BLFBQCK4AHMAIZ2LZD6S2G \
  | 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: 0423c0aca18095c01d804674bc8fd2d18a5e6a2e748b2ff6a2f57986c91afcf5
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "70f2552fa52b098e2aa647cd5410223bf1b825e84e486cddae4ad6c2229dbf26",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AR",
    "submitted_at": "2024-07-30T06:51:13Z",
    "title_canon_sha256": "5286daf7f0d01785ea62bf896ae49c963f4d44a5e3d0e93a57d651a88213472a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2407.20589",
    "kind": "arxiv",
    "version": 1
  }
}