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Pith Number

pith:XM2C37PP

pith:2019:XM2C37PP2RHBPG52AM5EHWFOWZ
not attested not anchored not stored refs pending

Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques

Basel Alyafi, Fakrul Islam Tushar, Lavsen Dahal, Md. Kamrul Hasan

arxiv:1904.00068 v1 · 2019-03-29 · cs.CV

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\usepackage{pith}
\pithnumber{XM2C37PP2RHBPG52AM5EHWFOWZ}

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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 2026-05-17T23:49:49.498723Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

bb342dfdefd44e179bba033a43d8aeb67d4080251c5f5ebe9c0db270fe192409

Aliases

arxiv: 1904.00068 · arxiv_version: 1904.00068v1 · doi: 10.48550/arxiv.1904.00068 · pith_short_12: XM2C37PP2RHB · pith_short_16: XM2C37PP2RHBPG52 · pith_short_8: XM2C37PP
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XM2C37PP2RHBPG52AM5EHWFOWZ \
  | 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: bb342dfdefd44e179bba033a43d8aeb67d4080251c5f5ebe9c0db270fe192409
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5d4bf8ea70a150899ad410a3dcc7b88460b53c01ade1f497b7e476e8d1da79d9",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2019-03-29T19:42:34Z",
    "title_canon_sha256": "9cccd8ab66995b4e60bab3a2152bc1a29d42f556741a466695e6e7d2ba678063"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1904.00068",
    "kind": "arxiv",
    "version": 1
  }
}