Pith Number

pith:GR4O5OSH

pith:2026:GR4O5OSH2NILDGH56JHYAY4QYB

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Quantum-Inspired Robust and Scalable SAR Object Classification

Benjamin Rodrigues de Miranda, Felix Bock, Marco Trenti, Maximilian Scharf, Padraig Davidson, Sigurd Huber, Timo Felser, Tobias Brosch

Tensor networks classify SAR images robustly while remaining small enough for edge devices.

arxiv:2604.25755 v2 · 2026-04-28 · quant-ph · cs.CV · physics.comp-ph

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\usepackage{pith}
\pithnumber{GR4O5OSH2NILDGH56JHYAY4QYB}

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Record completeness

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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

Our findings indicate that tensor networks are adept at addressing both the challenges of robustness and the need for model efficiency, thereby contributing valuable insights to the ongoing discourse in radar applications and deep learning methodologies in general.

C2weakest assumption

That the chosen tensor-network architectures, training protocols, and poisoning attack models are representative of practical SAR deployment scenarios and that performance gains are not artifacts of specific dataset choices or hyperparameter tuning.

C3one line summary

Tensor networks deliver robust SAR object classification that resists data poisoning while remaining compact enough for edge hardware.

Receipt and verification

First computed	2026-05-25T02:01:21.290807Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3478eeba47d350b198fdf24f806390c07dee08592c98163fa5cfc86f438589fe

Aliases

arxiv: 2604.25755 · arxiv_version: 2604.25755v2 · doi: 10.48550/arxiv.2604.25755 · pith_short_12: GR4O5OSH2NIL · pith_short_16: GR4O5OSH2NILDGH5 · pith_short_8: GR4O5OSH

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/GR4O5OSH2NILDGH56JHYAY4QYB \
  | 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: 3478eeba47d350b198fdf24f806390c07dee08592c98163fa5cfc86f438589fe

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e0122e05f60140e46fa4d8c92b7fd59e00c975606ad37fc5cd92da7474d405b0",
    "cross_cats_sorted": [
      "cs.CV",
      "physics.comp-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "quant-ph",
    "submitted_at": "2026-04-28T15:18:42Z",
    "title_canon_sha256": "9e7e8ffb43a7601478f72ccb69ae185a0211fbe63a9b05aed38c623179ab1d8c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.25755",
    "kind": "arxiv",
    "version": 2
  }
}