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  1. Home
  2. Signal Canvas
  3. Attention Residuals
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Attention Residuals

Stale18d ago
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Viability
0.0/10

Compared to this week’s papers

Stale evidence

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: stale

Source paper: Attention Residuals

PDF: https://arxiv.org/pdf/2603.15031v1

Repository: https://github.com/MoonshotAI/Attention-Residuals

Source count: 0

Coverage: 50%

Last proof check: 2026-03-18T22:54:39.286Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Attention Residuals

Overall score: 3/10
Lineage: bc3c65e3ac95…
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Canonical Paper Receipt

Last verification: 2026-03-18T22:54:39.286Z

Freshness: stale

Proof: unverified

Repo: active

References: 0

Sources: 0

Coverage: 50%

Missingness
  • - references
  • - distribution_readiness_scores
  • - paper_extraction_scorecards
Unknowns
  • - distribution readiness has not been computed yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Starting…

Dimensions overall score 3.0

GitHub Code Pulse

Stars
2,993
Health
A
Last commit
3/17/2026
Forks
152
Open repository

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Keep exploring

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ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling
Score 7.0up
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Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
Score 8.0up
Higher Viability
Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers
Score 7.0up
Higher Viability
Residual Stream Duality in Modern Transformer Architectures
Score 4.0up
Higher Viability
Stem: Rethinking Causal Information Flow in Sparse Attention
Score 7.0up
Higher Viability
Mixture-of-Depths Attention
Score 8.0up
Higher Viability
Progressive Residual Warmup for Language Model Pretraining
Score 7.0up
Competing Approach
Learning When to Attend: Conditional Memory Access for Long-Context LLMs
Score 3.0stable

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