pith. sign in
Pith Number

pith:PGTWMEQG

pith:2026:PGTWMEQGQ3XUSZSDG4SRUMZZTM
not attested not anchored not stored refs pending

Low-Magnification SEM May Suffice: Interpretable Deep Learning for Multi-Scale Fracture-Cause Classification in Zirconia-Toughened Alumina

Danny Krautz, Julian Schmid, Julius Beck, Pawel Astankow, Robert Cichon, Tom Vater

arxiv:2605.29798 v1 · 2026-05-28 · cs.CV · cond-mat.mtrl-sci · eess.IV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PGTWMEQGQ3XUSZSDG4SRUMZZTM}

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 2026-05-29T02:05:52.931453Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

79a766120686ef49664337251a33399b29a1c1fa975d3b7f6b6e6c2586d11ade

Aliases

arxiv: 2605.29798 · arxiv_version: 2605.29798v1 · doi: 10.48550/arxiv.2605.29798 · pith_short_12: PGTWMEQGQ3XU · pith_short_16: PGTWMEQGQ3XUSZSD · pith_short_8: PGTWMEQG
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PGTWMEQGQ3XUSZSDG4SRUMZZTM \
  | 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: 79a766120686ef49664337251a33399b29a1c1fa975d3b7f6b6e6c2586d11ade
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3a73c18e7e97a81abe141cb3bdf2d6d48edc36d01caa00f0d10a34ac3f8c4cbc",
    "cross_cats_sorted": [
      "cond-mat.mtrl-sci",
      "eess.IV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-28T11:47:20Z",
    "title_canon_sha256": "90eb4d50c36c6384955503bb5ccfe91213aa635ade47da438d4c07bd055df9e9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.29798",
    "kind": "arxiv",
    "version": 1
  }
}