Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers explores Recurrent-depth transformers show potential for improved implicit reasoning and compositional generalization in LLMs, addressing limitations in systematic generalization and depth extrapolation.. Commercial viability score: 3/10 in LLM Reasoning.
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Canonical route: /paper/loop-think-generalize-implicit-reasoning-in-recurrent-depth-transformers
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Canonical ID loop-think-generalize-implicit-reasoning-in-recurrent-depth-transformers | Route /paper/loop-think-generalize-implicit-reasoning-in-recurrent-depth-transformers
REST example
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/buildability/loop-think-generalize-implicit-reasoning-in-recurrent-depth-transformers
Subject: Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
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Structured compute envelope
Insufficient data
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Receipt path
/buildability/loop-think-generalize-implicit-reasoning-in-recurrent-depth-transformers
Paper ref
loop-think-generalize-implicit-reasoning-in-recurrent-depth-transformers
arXiv id
2604.07822
Generated at
2026-04-10T20:18:31.435Z
Evidence freshness
stale
Last verification
2026-04-10T20:18:31.435Z
Sources
4
References
0
Coverage
83%
Lineage hash
37462ecffa7229d7346a281d771558ed2d40dfbb6bff18863b4f53878d915173
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Pending verification refs / 4 sources / Verification pending
references
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Dimensions overall score 3.0
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This equation captures one of the core mathematical components of the system. Ik(C) = {(h, r1, . . . , rk, t) | ∃i1, . . . , ik−1, (h, r1, i1), . . . , (ik−1, rk, t) ∈C}.
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This equation captures one of the core mathematical components of the system. convergence, e.g. R = 4 converges with 2k epoch, while R = 2 takes 7k. This acceleration is
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This equation captures one of the core mathematical components of the system. facts and 15k k-hop inferred facts for each k ∈[2, Kmax], with Kmax = 40. During training
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