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Pith Number

pith:FMW2Z3KW

pith:2026:FMW2Z3KWR64MICMK2KBOSB4WP4
not attested not anchored not stored refs pending

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech?

Bradford C. Dickerson, James Glass, Liming Wang, Neguine Rezaii

arxiv:2607.00260 v1 · 2026-06-30 · eess.AS

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FMW2Z3KWR64MICMK2KBOSB4WP4}

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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 2026-07-02T00:18:41.468456Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2b2daced568fb8c4098ad282e907967f36b03bae767f5cf33e854b7122da8150

Aliases

arxiv: 2607.00260 · arxiv_version: 2607.00260v1 · doi: 10.48550/arxiv.2607.00260 · pith_short_12: FMW2Z3KWR64M · pith_short_16: FMW2Z3KWR64MICMK · pith_short_8: FMW2Z3KW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FMW2Z3KWR64MICMK2KBOSB4WP4 \
  | 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: 2b2daced568fb8c4098ad282e907967f36b03bae767f5cf33e854b7122da8150
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f9b1b63aa31f9f679976add077dad7027fa33d43fcc55fbc55bc36cad9678b3f",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.AS",
    "submitted_at": "2026-06-30T23:12:47Z",
    "title_canon_sha256": "245d69961d66d80dda9c23f982f1efec5a3510b0bc30bed25703dae2fe653f56"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2607.00260",
    "kind": "arxiv",
    "version": 1
  }
}