{
  "reviewId": "rev-101",
  "manuscriptId": "peerrxiv.2026.00392",
  "reviewNumber": 1,
  "reviewTier": "CORE_MANDATORY",
  "citeKey": "moreau2026peerrxiv00392r1",
  "title": "Peer Review Report #1 (on v2) for: Sub-Quadratic State-Space Transformers with Provable Long-Horizon Memory Retention",
  "reviewerName": "Dr. Sebastien Moreau",
  "reviewerInstitution": "INRIA Paris",
  "reviewerOrcid": "0000-0002-1190-3321",
  "canonicalReviewId": "PeerRxiv:2609.00392.r1",
  "reviewDoi": "10.5555/peerrxiv.2026.00392.r1",
  "zenodoDoi": "10.5281/zenodo.140039291",
  "reviewZenodoDoi": "10.5281/zenodo.140039291",
  "reviewUrl": "http://peerrxiv-platform.pages.dev/reviews/rev-101",
  "references": [
    "Gu, A., Dao, T. Mamba: Linear-Time Sequence Modeling with Selective State Spaces. arXiv:2312.00752 (2023)."
  ],
  "formats": {
    "bibtex": "@article{moreau2026peerrxiv00392r1,\n  author        = {Sebastien Moreau},\n  title         = {{Peer Review Report #1 (on v2) for: Sub-Quadratic State-Space Transformers with Provable Long-Horizon Memory Retention}},\n  journal       = {PeerRxiv Open Peer-Review Reports},\n  year          = {2026},\n  eid           = {PeerRxiv:2609.00392.r1},\n  eprint        = {PeerRxiv:2609.00392.r1},\n  archivePrefix = {PeerRxiv},\n  issn          = {0000-0000},\n  doi           = {10.5555/peerrxiv.2026.00392.r1},\n  note          = {Verdict: ENDORSED; Reviewer ORCID: 0000-0002-1190-3321; Dual Free Zenodo DOI: 10.5281/zenodo.140039291},\n  url           = {http://peerrxiv-platform.pages.dev/reviews/rev-101}\n}",
    "ris": "TY  - JOUR\nTI  - Peer Review Report #1 (on v2) for: Sub-Quadratic State-Space Transformers with Provable Long-Horizon Memory Retention\nAU  - Sebastien Moreau\nT2  - PeerRxiv Open Peer-Review Reports\nPY  - 2026\nDA  - 2026/10/11\nSN  - 0000-0000\nDO  - 10.5555/peerrxiv.2026.00392.r1\nAN  - PeerRxiv:2609.00392.r1\nC1  - Free CERN Zenodo Review DOI: 10.5281/zenodo.140039291\nUR  - http://peerrxiv-platform.pages.dev/reviews/rev-101\nAB  - Theorem 3.2 is a landmark theoretical result for hybrid SSM-attention architectures. Comparing the Before (v1) and After (v2) manuscripts confirms that the BF16 quantization proof is completely watertight. All comments addressed in the v2 After Manuscript.\nER  - ",
    "apa": "Sebastien Moreau (2026). Peer Review Report #1 (on v2) for: Sub-Quadratic State-Space Transformers with Provable Long-Horizon Memory Retention [PeerRxiv:2609.00392.r1]. PeerRxiv Open Peer-Review Reports. https://doi.org/10.5555/peerrxiv.2026.00392.r1 (Dual Zenodo DOI: https://doi.org/10.5281/zenodo.140039291)",
    "latex": "\\bibitem{moreau2026peerrxiv00392r1}\nSebastien Moreau, ``Peer Review Report #1 (on v2) for: Sub-Quadratic State-Space Transformers with Provable Long-Horizon Memory Retention,'' \\emph{PeerRxiv Open Peer-Review Reports}, PeerRxiv:2609.00392.r1, 2026. DOI: \\href{https://doi.org/10.5555/peerrxiv.2026.00392.r1}{10.5555/peerrxiv.2026.00392.r1} (Zenodo DataCite: \\href{https://doi.org/10.5281/zenodo.140039291}{10.5281/zenodo.140039291})."
  }
}