{
  "url": "https://appliedfrontier.nl/en/research/signal-83b5fa248a139c2f/",
  "title": "Preserving Mathematical Reasoning in Compressed Diffusion Language Models via Trajectory-Aware Low-Rank Approximation",
  "published": "2026-10-02",
  "excerpt": "Diffusion language model (dLLM) compression faces a known challenge because calibration is typically performed on clean, fully visible activations, whereas inference traverses partially masked intermediate",
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  "artifact_links": [
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  ],
  "arxiv_id": "2610.03326",
  "id": "signal-83b5fa248a139c2f",
  "org": "Research community",
  "topic": "Formal verification",
  "source_kind": "preprint",
  "status": "unreviewed-source-report",
  "analysis_method": "deterministic_metadata_triage_v1",
  "novelty_verified": false,
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  "matched_terms": [
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    "reasoning"
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  "checked_at": "2026-10-31T19:17:04+00:00",
  "first_seen": "2026-10-29T21:52:00+00:00",
  "source_hash": "63bbeab5da411282996a68c65fe3226792457bf8df95d3f661faa742eefd3a8c",
  "source_url": "https://arxiv.org/abs/2610.03326",
  "language": "en",
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}