pith. sign in
Pith Number

pith:GHZKALIL

pith:2017:GHZKALILNZ5APUXA65EAI7NQJQ
not attested not anchored not stored refs pending

A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling

Els Fieremans, Joseph Rath, Shervin Minaee, Sohae Chung, Steven Flanagan, Xiuyuan Wang, Yao Wang, Yvonne W. Lui

arxiv:1708.09000 v1 · 2017-08-27 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GHZKALILNZ5APUXA65EAI7NQJQ}

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 2026-05-18T00:36:21.432296Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

31f2a02d0b6e7a07d2e0f748047db04c17a12497dc954f8d4e156e1d82f2e570

Aliases

arxiv: 1708.09000 · arxiv_version: 1708.09000v1 · doi: 10.48550/arxiv.1708.09000 · pith_short_12: GHZKALILNZ5A · pith_short_16: GHZKALILNZ5APUXA · pith_short_8: GHZKALIL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GHZKALILNZ5APUXA65EAI7NQJQ \
  | 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: 31f2a02d0b6e7a07d2e0f748047db04c17a12497dc954f8d4e156e1d82f2e570
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "facc9591f9515ad625c0b69b56b299a05f89c98684daad2d49ca05c4d0bf732a",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-08-27T20:14:28Z",
    "title_canon_sha256": "9b024affaf046847ddaa6add8ea358fe350e474118d134349638097faf4c3b30"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1708.09000",
    "kind": "arxiv",
    "version": 1
  }
}