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pith:6GAPTUKI

pith:2026:6GAPTUKITT6RYOYIGBMHWV4PMR
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Graph Transformers and Stabilized Reinforcement Learning for Large-Scale Dynamic Routing Modulation and Spectrum Allocation in Elastic Optical Networks

Alejandra Beghelli, Laura Toni, Michael Doherty

Stabilized reinforcement learning enables the first graph transformer to exceed benchmarks on large-scale dynamic routing and spectrum allocation in optical networks.

arxiv:2605.02075 v2 · 2026-05-03 · cs.NI

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1 Bitcoin timestamp
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

ours is the first RL method to exceed all benchmarks, increasing the supportable traffic load by up to 13%. ... We find up to 4% increased traffic load can be supported at low blocking probability (<0.1%) with our method compared to the best available benchmark algorithm.

C2weakest assumption

The GPU-accelerated simulator faithfully reproduces real optical network dynamics, traffic patterns, and physical-layer impairments, and that the learned policy generalizes to traffic and topologies not seen during training.

C3one line summary

Graph transformer RL for dynamic RMSA supports up to 13% more traffic than benchmarks on networks up to 143 nodes and 362 links.

Formal links

3 machine-checked theorem links

Receipt and verification
First computed 2026-05-20T00:03:13.660916Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f180f9d1489cfd1c3b0830587b578f6475a65e7f626cc0e8c1fef422a2132ba5

Aliases

arxiv: 2605.02075 · arxiv_version: 2605.02075v2 · doi: 10.48550/arxiv.2605.02075 · pith_short_12: 6GAPTUKITT6R · pith_short_16: 6GAPTUKITT6RYOYI · pith_short_8: 6GAPTUKI
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/6GAPTUKITT6RYOYIGBMHWV4PMR \
  | 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: f180f9d1489cfd1c3b0830587b578f6475a65e7f626cc0e8c1fef422a2132ba5
Canonical record JSON
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    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.NI",
    "submitted_at": "2026-05-03T22:26:52Z",
    "title_canon_sha256": "bf90d05c95329e37618e5a2be2e3ef2b6cbfa11921357d808a59304245efbfb9"
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