Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:53:19.680424Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 13 inbound Pith citation observations for arXiv:2604.11791.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:53:19.680424Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:22:30.480923Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
63 of 63 outbound references displayed
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Observation 844656d0-1f9e-4ede-a625-7559aab441fb · outbound
A Mechanistic Analysis of Looped Reasoning Language Models On the Bottleneck of Graph Neural Networks and its Practical Implications
Reference 1
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Observation 6a64318a-b480-4d33-8eeb-1209eae0e8c7 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models On vanishing gradients, over- smoothing, and over-squashing in gnns: Bridging recurrent and graph learning.arXiv preprint arXiv:2502.10818
Reference 2
Source-reported events for the cited work
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Observation b1698357-8025-453a-84c7-0d128ff633a4 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Mixture-of-recursions: Learning dynamic recur- sive depths for adaptive token-level computation.arXiv preprint arXiv:2507.10524
Reference 3
Source-reported events for the cited work
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Observation 25990763-3324-4904-ad94-e6ef127ac48e · outbound
A Mechanistic Analysis of Looped Reasoning Language Models PonderNet: Learning to Ponder
Reference 4
Source-reported events for the cited work
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Observation 0843e282-60df-4218-81b2-4550d2e86ffa · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Why do LLMs attend to the first token?
Reference 5
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Observation 7bdc3169-e0fa-4cd6-87c2-a4e2065a2b4f · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work
Reference 6
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Observation 42219ca9-eb8d-4fdd-be3b-a3fd83f865d7 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models A Note on Over-Smoothing for Graph Neural Networks
Reference 7
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Observation 7e55f518-98d0-4106-a696-fe08960aae4a · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Training Verifiers to Solve Math Word Problems
Reference 8
Source-reported events for the cited work
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Observation 9896484e-73bf-4218-a79a-2195854c1e72 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Continuous thought machines
Reference 9
Source-reported events for the cited work
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Observation 6edce7df-1359-4879-8b1f-84837ce51d02 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Universal Transformers
Reference 10
Source-reported events for the cited work
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Observation c067143a-498c-41c7-9d87-e2e49b0b1421 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Reference 11
Source-reported events for the cited work
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Observation 7186fe55-a4fe-4fc0-8b3f-47763c133da3 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Adaptive Computation Time for Recurrent Neural Networks
Reference 12
Source-reported events for the cited work
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Observation 96b2f2a4-e3f0-4649-a485-cdbbfdea2a10 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models When Attention Sink Emerges in Language Models: An Empirical View
Reference 13
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Observation 2fbe47ba-18ee-41bb-a588-efbbec0a4aec · outbound
A Mechanistic Analysis of Looped Reasoning Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 14
Source-reported events for the cited work
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Observation 7d73d706-ef5b-4a43-ae6b-97824193e1a0 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Return of chebnet: Understanding and improving an overlooked gnn on long range tasks.arXiv preprint arXiv:2506.07624
Reference 15
Source-reported events for the cited work
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Observation 14b3ee3b-2ffa-4dd2-8848-7af06d2db886 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Less is More: Recursive Reasoning with Tiny Networks
Reference 16
Source-reported events for the cited work
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Observation e9a0eee5-bd97-4f42-a0e2-140289182212 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study
Reference 17
Source-reported events for the cited work
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Observation d2a6aba4-a961-4cf2-9eb6-439cb4b5f152 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Encode, think, decode: Scaling test-time reasoning with recursive latent thoughts.CoRR, abs/2510.07358
Reference 18
Source-reported events for the cited work
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Observation fa14fa85-8bc7-469a-8d3a-ea358e909a99 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models The Remarkable Robustness of LLMs: Stages of Inference?
Reference 19
Source-reported events for the cited work
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Observation c636a9cc-f240-4ac7-92ae-4ddbac729e24 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Latent chain-of-thought? decoding the depth-recurrent transformer.CoRR, abs/2507.02199
Reference 20
Source-reported events for the cited work
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Observation 013fbafb-933f-4d60-b9f7-165685c749bb · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Tom Goldstein, and Micah Goldblum
Reference 21
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Observation ccd409e9-1ebf-4ebf-b3eb-29961993d53d · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Softmax is1 /2-Lipschitz: A tight bound across all ℓ𝑝 norms
Reference 22
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Observation ba28b729-f7fe-44d2-8873-ed9492de677f · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Two-scale latent dynamics for recurrent-depth transformers.CoRR, abs/2509.23314
Reference 23
Source-reported events for the cited work
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Observation f1de073b-72e2-4381-9554-58b00e32116b · outbound
A Mechanistic Analysis of Looped Reasoning Language Models arXiv preprint arXiv:2510.06477 , year=
Reference 24
Source-reported events for the cited work
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Observation 1206c2c8-2a80-4297-8041-60a9750b04ff · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Using attention sinks to identify and evaluate dormant heads in pretrained llms
Reference 25
Source-reported events for the cited work
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Observation 8238998c-ea2c-49cb-84a9-081882e34dc2 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers
Reference 26
Source-reported events for the cited work
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Observation 35dbbb7e-74bb-490c-bb38-c6a64843d132 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Sparse Universal Transformer
Reference 27
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Observation eb6ff732-7a80-4786-ac25-2aa8942f7a93 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Softmax is not Enough (for Sharp Size Generalisation)
Reference 28
Source-reported events for the cited work
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Observation bb7fa5b4-082e-465f-99fd-7b0eba6fe762 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Hierarchical Reasoning Model
Reference 29
Source-reported events for the cited work
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Observation 320ecbd1-b016-4748-be28-f5d7dc25916a · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Efficient Streaming Language Models with Attention Sinks
Reference 30
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Observation 0c8f329f-25da-4a7e-817c-b2c0a7016367 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
Reference 31
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Observation 31921472-32b9-46a1-bc72-4cf406615250 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Looped Transformers are Better at Learning Learning Algorithms
Reference 32
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Observation 7b25e135-81a5-4a00-9d06-5c962785b0d8 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers
Reference 33
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Observation 6eb5610e-c7a4-4b21-b665-46a9a9ef9cc1 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Scaling Latent Reasoning via Looped Language Models
Reference 34
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Observation e246ef75-be83-474b-94a1-a6bce069b6e6 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models B 𝑓 𝑗+1 (0) (Y )
Reference 35
Source-reported events for the cited work
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Observation d1bb449b-5ea7-4146-bd7e-5bbba18beade · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Hello! I’ve been well. I hope that you’re doing well
Reference 36
Source-reported events for the cited work
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Observation a5faf73e-1254-4c25-9364-8dc92b3a5354 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Our small training runs in Sec
Reference 37
Source-reported events for the cited work
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Observation d587d914-a24c-4ff9-908f-9a63a131fd56 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work
Reference 38
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Observation 783a6352-764c-4eed-9f95-61faae778746 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models orbits” and “sliders
Reference 39
Source-reported events for the cited work
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Observation 8ca6f6f1-6d87-43b8-8042-a2ca6b359c42 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Using this algorithm, we classify the limiting behavior over all tokens in the GSM8k test set for the Huginn-0125 and Retrofitted Llama models
Reference 40
Source-reported events for the cited work
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Observation 3e56b1dc-b54d-4cb1-abd2-aaa0a2b74f77 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models This percentage can be significantly increased with the longer system prompt, but these behaviors remain rare at 0.14%
Reference 41
Source-reported events for the cited work
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Observation 35e5fe1e-4d1d-4782-bac9-1d6bf3895c03 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Long Persona
Reference 42
Source-reported events for the cited work
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Observation 4bfdecd0-d5be-4119-b69a-a8c38c07cf9a · outbound
A Mechanistic Analysis of Looped Reasoning Language Models worst case
Reference 43
Source-reported events for the cited work
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Observation 91c9441b-9850-46f4-9927-38713f4febcc · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Left: Ouro 1.4B (Zhu et al., 2025)
Reference 44
Source-reported events for the cited work
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Observation dc1338a8-76fe-4cf4-8ec3-f4e00d55fb48 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Left: Huginn-0125 (Geiping et al., 2025)
Reference 45
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Observation 88854ab3-7562-49e1-8398-34d60a470f18 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Left: Huginn-0125 (Geiping et al., 2025)
Reference 46
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Observation 065c0192-02a2-4142-8189-87e2d818c008 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models approximate fixed point
Reference 47
Source-reported events for the cited work
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Observation e02899f9-19fa-4a70-a613-e6234a1b18a6 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work
Reference 48
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Observation 497e0033-da9f-4e9d-9b4e-0398e0e5f0e1 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work
Reference 49
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A Mechanistic Analysis of Looped Reasoning Language Models Note Huginn-0125 and Retrofitted Llama have prelude and coda layers too: each 2 layers in Huginn-0125 and each 4 in Retrofitted Llama
Reference 50
Source-reported events for the cited work
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Observation 7be4dedf-dd9f-4cf3-94dd-37993787cbd1 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models upcycles
Reference 51
Source-reported events for the cited work
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Observation d82a42d3-6d10-4ffe-a640-5ff1382b49da · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work
Reference 52
Source-reported events for the cited work
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Observation 7b9da5a2-34f3-4a33-a04b-c491a462fe1e · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Similarly, each block demonstrates very similar stages of inference to OLMo, the base model from which pretrained layers are taken
Reference 53
Source-reported events for the cited work
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Observation 8fca1d18-5933-4dcc-8759-07a9a69350cb · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work
Reference 54
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Observation 3a29f7ea-ca9f-478f-a2da-09d802fd4753 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models upcycles
Reference 55
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Observation 752b169c-d193-4245-9b65-dcd503f8082a · outbound
A Mechanistic Analysis of Looped Reasoning Language Models 31 A Mechanistic Analysis of Looped Language Models E.4
Reference 56
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Observation c1022d78-27fd-4c63-b0bc-337221237439 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work
Reference 57
Source-reported events for the cited work
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Observation c3dc4e0b-a1a9-4907-b99d-53923b90ee31 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models ColSum concentration deviates slightly from its GSM8k counterpart here, but still broadly follows the same stages of inference as the feedforward OLMo model
Reference 58
Source-reported events for the cited work
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Observation 9cae6123-4cc8-41af-8977-3fc63e2d71c1 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models 33 A Mechanistic Analysis of Looped Language Models E.5
Reference 59
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Observation 6366f201-0779-459b-8884-3decc81780cd · outbound
A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work
Reference 60
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A Mechanistic Analysis of Looped Reasoning Language Models These consistently change throughout the realized depth of the model, reaching no clear fixed point
Reference 61
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A Mechanistic Analysis of Looped Reasoning Language Models These converge to constant behavior
Reference 62
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Observation dd9be5a0-08a2-4f70-8a77-7ef43d80fa35 · outbound
A Mechanistic Analysis of Looped Reasoning Language Models These converge to constant behavior
Reference 63
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Hyperloop Transformers A Mechanistic Analysis of Looped Reasoning Language Models
Reference 3
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SMolLM: Small Language Models Learn Small Molecular Grammar A Mechanistic Analysis of Looped Reasoning Language Models
Reference 57
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Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models A Mechanistic Analysis of Looped Reasoning Language Models
Reference 52
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Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models A Mechanistic Analysis of Looped Reasoning Language Models
Reference 52
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Observation 3607a9d9-eb34-4926-819b-1cf7b7ead405 · inbound
Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification A Mechanistic Analysis of Looped Reasoning Language Models
Reference 4
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Observation a15dbdce-d234-409b-a0ab-19e6b0632884 · inbound
Simply Stabilizing the Loop via Fully Looped Transformer A Mechanistic Analysis of Looped Reasoning Language Models
Reference 29
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Chain-of-Thought and Compressed Looped Transformers: A Memory-Budget Separation A Mechanistic Analysis of Looped Reasoning Language Models
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Reference 46
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Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers A Mechanistic Analysis of Looped Reasoning Language Models
Reference 75
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Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models A Mechanistic Analysis of Looped Reasoning Language Models
Reference 2
Source-reported events for the cited work
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Observation 6a53af8d-45c1-48bc-aad2-09f2e4f742d3 · inbound
Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers A Mechanistic Analysis of Looped Reasoning Language Models
Reference 2026
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Observation 7a498d77-a08a-43bd-8358-826a1646e612 · inbound
On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers A Mechanistic Analysis of Looped Reasoning Language Models
Reference 13
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Observation d99a086c-057f-4bfa-9578-2f36102864a4 · inbound
When Does Recurrence Become an Algorithm? Convergence Selection in Weight-Tied Looped Transformers A Mechanistic Analysis of Looped Reasoning Language Models
Reference 1989
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