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Pith Number

pith:MAD36QFE

pith:2024:MAD36QFEUAY6NBYHDAFF45KNMR
not attested not anchored not stored refs pending

Advancing Mental Health Pre-Screening: A New Custom GPT for Psychological Distress Assessment

Jinwen Tang, Yi Shang

arxiv:2408.01614 v2 · 2024-08-03 · cs.CY · cs.AI

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\usepackage{pith}
\pithnumber{MAD36QFEUAY6NBYHDAFF45KNMR}

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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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T10:05:12.169362Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6007bf40a4a031e68707180a5e754d647dbd8be9b4077d34e3d4fd44a962ec85

Aliases

arxiv: 2408.01614 · arxiv_version: 2408.01614v2 · doi: 10.48550/arxiv.2408.01614 · pith_short_12: MAD36QFEUAY6 · pith_short_16: MAD36QFEUAY6NBYH · pith_short_8: MAD36QFE
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MAD36QFEUAY6NBYHDAFF45KNMR \
  | 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: 6007bf40a4a031e68707180a5e754d647dbd8be9b4077d34e3d4fd44a962ec85
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f81b454994c57e6759153f0ff8faf71cde842fe7278c56089e687543bce9f579",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2024-08-03T00:38:30Z",
    "title_canon_sha256": "e5a8a7f0d7e43531ef0b69e4d387343380c4a755c289d800bc4595aaab2b874d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2408.01614",
    "kind": "arxiv",
    "version": 2
  }
}