Pith Number

pith:2ROSVGBS

pith:2026:2ROSVGBSL3PBIO3Z4PYSK7MFI3

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BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation

Chenlin Zhou, Jiaqi Wang, Kehai Chen, Qingyan Meng, Sihang Guo, Zhengyu Ma

BiSpikCLM creates the first fully binary spiking causal language model that avoids all floating-point matrix multiplications and softmax.

arxiv:2605.13859 v1 · 2026-04-14 · cs.NE · cs.AI · cs.LG

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

BiSpikCLM achieves competitive performance at only 4.16% - 5.87% of the computational cost on natural language generation tasks while being the first fully binary spiking MatMul-free causal language model.

C2weakest assumption

That the Spike-Aware Alignment Distillation can align the spiking student to the ANN teacher across embeddings, attention maps, features, and logits without introducing unrecoverable capacity loss or requiring hidden floating-point operations during inference.

C3one line summary

BiSpikCLM is the first fully binary spiking MatMul-free causal language model that matches ANN performance on generation tasks using only 4-6 percent of the compute via softmax-free spiking attention and spike-aware distillation.

References

29 extracted · 29 resolved · 9 Pith anchors

[1] GPT-4 Technical Report · arXiv:2303.08774

[2] D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al 1901

[3] BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions 1905 · arXiv:1905.10044

[4] Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge · arXiv:1803.05457

[5] Advancing residual learning towards powerful deep spiking neural networks

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:19.507472Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d45d2a98325ede143b79e3f1257d8546f1ce3469bccce63f9d15f114ae0c4bf8

Aliases

arxiv: 2605.13859 · arxiv_version: 2605.13859v1 · doi: 10.48550/arxiv.2605.13859 · pith_short_12: 2ROSVGBSL3PB · pith_short_16: 2ROSVGBSL3PBIO3Z · pith_short_8: 2ROSVGBS

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ROSVGBSL3PBIO3Z4PYSK7MFI3 \
  | 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: d45d2a98325ede143b79e3f1257d8546f1ce3469bccce63f9d15f114ae0c4bf8

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "eafa74289c8f2fbdeba320457e269005341c65e32cf69a7f2f5415fdbe2f9140",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2026-04-14T09:57:15Z",
    "title_canon_sha256": "ce85422459087283d87dcc4f831fd2e1f80782863b6a63dd099bff7f1e1fd51d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13859",
    "kind": "arxiv",
    "version": 1
  }
}