Pith Number

pith:SHHD7PPZ

pith:2026:SHHD7PPZ5ZH7P5LJSDOP4B2LS2

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Elastic Spiking Transformers for Efficient Gesture Understanding

Alberto Ancilotto, Elisabetta Farella, Gianluca Amprimo, Stefano Di Carlo

A single Elastic Spiking Transformer dynamically resizes at runtime to match hardware budgets while matching baseline accuracy in gesture recognition.

arxiv:2605.13869 v1 · 2026-05-04 · cs.NE · cs.AI · cs.CV

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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

one Elastic Spiking Transformer spans a broad range of complexity-accuracy trade-offs, matching or surpassing independently trained baselines while supporting adaptive, real-time gesture recognition on resource-constrained edge devices.

C2weakest assumption

Granularity-aware weight sharing in the Feature Extractor, Spiking Self-Attention, and Feed-Forward blocks preserves accuracy across all dynamic slices without retraining or performance degradation.

C3one line summary

A single Elastic Spiking Transformer model dynamically slices network width and attention heads at runtime via granularity-aware weight sharing, matching or exceeding fixed baselines on CIFAR and gesture datasets while reducing spike operations.

References

35 extracted · 35 resolved · 1 Pith anchors

[1] A. Amir, B. Taba, D. Berg, T. Melano, J. McKinstry, C. Di Nolfo, T. Marelli, A. Hsu, G. Sherbondy, and D. S. Modha. A low power, fully event-based gesture recognition system. InProceedings of the IEEE 2017

[2] G. Amprimo, A. Ancilotto, A. Savino, F. Quazzolo, C. Ferraris, G. Olmo, E. Farella, and S. Di Carlo. Ehwgesture-a dataset for multimodal understanding of clinical gestures. InProceedings of the IEEE/C 2025

[3] A. Ancilotto, F. Paissan, and E. Farella. Xinet: Efficient neural networks for tinyml.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 16922–16931, 2023 2023

[4] A. Carpegna, A. Savino, and S. D. Carlo. Spiker+: A framework for the generation of efficient spiking neural networks fpga accelerators for inference at the edge.IEEE Transactions on Emerging Topics i 2025

[5] M. Davies, N. Srinivasa, T.-H. Lin, G. Chinya, Y . Cao, S. H. Choday, G. Dimou, P. Joshi, N. Imam, S. Jain, et al. Loihi: A neuromorphic manycore processor with on-chip learning.IEEE Micro, 38(1):82–9 2018

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:19.349762Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

91ce3fbdf9ee4ff7f56990dcfe074b969bb642ab7eee76d69a5c00826413295e

Aliases

arxiv: 2605.13869 · arxiv_version: 2605.13869v1 · doi: 10.48550/arxiv.2605.13869 · pith_short_12: SHHD7PPZ5ZH7 · pith_short_16: SHHD7PPZ5ZH7P5LJ · pith_short_8: SHHD7PPZ

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SHHD7PPZ5ZH7P5LJSDOP4B2LS2 \
  | 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: 91ce3fbdf9ee4ff7f56990dcfe074b969bb642ab7eee76d69a5c00826413295e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "baea88cfcb834cb06cb0c5c294287bf134118350770c36a2a8ac6710939f8759",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2026-05-04T12:35:52Z",
    "title_canon_sha256": "fa6fa6f4c90c9a4973619195ce4179d8966d47db185372e05a2c2568cec5aeb6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13869",
    "kind": "arxiv",
    "version": 1
  }
}