Pith Number

pith:DKDTDX6W

pith:2026:DKDTDX6WITJ3ENGVSGGUI3P233

not attested not anchored not stored refs pending

A Lightweight Transformer for Pain Recognition from Brain Activity

Christian Arzate Cruz, Giorgos Giannakakis, Lu Cao, Muhammad Umar Khan, Randy Gomez, Raul Fernandez Rojas, Stefanos Gkikas, Thomas Kassiotis, Yu Fang

A lightweight transformer fuses raw and spectral fNIRS signals through unified tokenization to recognize pain states while remaining compact enough for real-time use.

arxiv:2604.16491 v4 · 2026-04-13 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{DKDTDX6WITJ3ENGVSGGUI3P233}

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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.

Claims

C1strongest claim

The proposed lightweight transformer fuses multiple fNIRS representations through a unified tokenization mechanism, enabling joint modeling of complementary signal views without requiring modality-specific adaptations or increasing architectural complexity, while achieving competitive pain recognition performance on the AI4Pain dataset.

C2weakest assumption

That projecting heterogeneous fNIRS inputs (raw waveform and power spectral density) onto a shared latent representation via structured segmentation preserves all spatial, temporal, and time-frequency information necessary for accurate pain classification without significant loss.

C3one line summary

A lightweight transformer fuses multiple fNIRS signal views through shared tokenization to achieve competitive pain recognition on the AI4Pain dataset while staying computationally compact.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:03:11.603695Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1a8731dfd644d3b234d5918d446dfadee2ceb00d04a8555514b39643ef09931a

Aliases

arxiv: 2604.16491 · arxiv_version: 2604.16491v4 · doi: 10.48550/arxiv.2604.16491 · pith_short_12: DKDTDX6WITJ3 · pith_short_16: DKDTDX6WITJ3ENGV · pith_short_8: DKDTDX6W

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/DKDTDX6WITJ3ENGVSGGUI3P233 \
  | 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: 1a8731dfd644d3b234d5918d446dfadee2ceb00d04a8555514b39643ef09931a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "50dcabc8d97ceddfd0de7cb691f60572e531e4e9d3ec090485d6d805122b64fa",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-13T13:25:19Z",
    "title_canon_sha256": "35c04e90079dd0e6b8d88c7a08db2bf51e2bc1403ab0f2f043046a376a13ad15"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.16491",
    "kind": "arxiv",
    "version": 4
  }
}