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Pith Number

pith:WNLMCESV

pith:2025:WNLMCESVNXBD7LPBEKTUX7H7VD
not attested not anchored not stored refs pending

Neural Object Detection for 4D STEM: High-Throughput Sub-Pixel Electron Diffraction Pattern Recognition

Arda Genc, Ravit Silverstein

arxiv:2506.04477 v2 · 2025-06-04 · cond-mat.mtrl-sci

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WNLMCESVNXBD7LPBEKTUX7H7VD}

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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 2026-07-05T11:37:22.713235Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b356c112556dc23fade122a74bfcffa8d3d8a62418dcd26c8b513add6afcd5af

Aliases

arxiv: 2506.04477 · arxiv_version: 2506.04477v2 · doi: 10.48550/arxiv.2506.04477 · pith_short_12: WNLMCESVNXBD · pith_short_16: WNLMCESVNXBD7LPB · pith_short_8: WNLMCESV
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WNLMCESVNXBD7LPBEKTUX7H7VD \
  | 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: b356c112556dc23fade122a74bfcffa8d3d8a62418dcd26c8b513add6afcd5af
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7c65008fe72ba4cb8aafac1ddd54ca108584617c9e8e5b15779c3b015b0cfee4",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cond-mat.mtrl-sci",
    "submitted_at": "2025-06-04T21:51:03Z",
    "title_canon_sha256": "29e0333a319f61072839ae75d634fe8d38bbfeec4aeb6f518b9b69548acecee4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.04477",
    "kind": "arxiv",
    "version": 2
  }
}