Paper Citation Record · LEDGER

A Mechanistic Analysis of Looped Reasoning Language Models

As of 15 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.

pith.paper-citation-record.v1
2604.11791 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:53:19.680424Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:22:30.480923Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

63 of 63 outbound references displayed

verified exact29
verified fuzzy22
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 844656d0-1f9e-4ede-a625-7559aab441fb · outbound

This paper cites On the Bottleneck of Graph Neural Networks and its Practical Implications.

A Mechanistic Analysis of Looped Reasoning Language Models On the Bottleneck of Graph Neural Networks and its Practical Implications

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:03.008614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a64318a-b480-4d33-8eeb-1209eae0e8c7 · outbound

This paper cites On vanishing gradients, over- smoothing, and over-squashing in gnns: Bridging recurrent and graph learning.arXiv preprint arXiv:2502.10818.

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

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.642182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b1698357-8025-453a-84c7-0d128ff633a4 · outbound

This paper cites Mixture-of-recursions: Learning dynamic recur- sive depths for adaptive token-level computation.arXiv preprint arXiv:2507.10524.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:02.922847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 25990763-3324-4904-ad94-e6ef127ac48e · outbound

This paper cites PonderNet: Learning to Ponder.

A Mechanistic Analysis of Looped Reasoning Language Models PonderNet: Learning to Ponder

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.964220Z

Source-reported events for the cited work

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Observation 0843e282-60df-4218-81b2-4550d2e86ffa · outbound

This paper cites Why do LLMs attend to the first token?.

A Mechanistic Analysis of Looped Reasoning Language Models Why do LLMs attend to the first token?

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.668349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bdc3169-e0fa-4cd6-87c2-a4e2065a2b4f · outbound

This paper cites an unresolved cited work.

A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.939804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42219ca9-eb8d-4fdd-be3b-a3fd83f865d7 · outbound

This paper cites A Note on Over-Smoothing for Graph Neural Networks.

A Mechanistic Analysis of Looped Reasoning Language Models A Note on Over-Smoothing for Graph Neural Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:03.018771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e55f518-98d0-4106-a696-fe08960aae4a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

A Mechanistic Analysis of Looped Reasoning Language Models Training Verifiers to Solve Math Word Problems

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:41:03.034516Z

Source-reported events for the cited work

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Observation 9896484e-73bf-4218-a79a-2195854c1e72 · outbound

This paper cites Continuous thought machines.

A Mechanistic Analysis of Looped Reasoning Language Models Continuous thought machines

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:03.003669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6edce7df-1359-4879-8b1f-84837ce51d02 · outbound

This paper cites Universal Transformers.

A Mechanistic Analysis of Looped Reasoning Language Models Universal Transformers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-13T08:04:31.534239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c067143a-498c-41c7-9d87-e2e49b0b1421 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

A Mechanistic Analysis of Looped Reasoning Language Models Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T15:39:41.804715Z

Source-reported events for the cited work

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Observation 7186fe55-a4fe-4fc0-8b3f-47763c133da3 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

A Mechanistic Analysis of Looped Reasoning Language Models Adaptive Computation Time for Recurrent Neural Networks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:53:22.734695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 96b2f2a4-e3f0-4649-a485-cdbbfdea2a10 · outbound

This paper cites When Attention Sink Emerges in Language Models: An Empirical View.

A Mechanistic Analysis of Looped Reasoning Language Models When Attention Sink Emerges in Language Models: An Empirical View

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:41:03.919229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fbe47ba-18ee-41bb-a588-efbbec0a4aec · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

A Mechanistic Analysis of Looped Reasoning Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:41:02.881107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d73d706-ef5b-4a43-ae6b-97824193e1a0 · outbound

This paper cites Return of chebnet: Understanding and improving an overlooked gnn on long range tasks.arXiv preprint arXiv:2506.07624.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:02.732352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 14b3ee3b-2ffa-4dd2-8848-7af06d2db886 · outbound

This paper cites Less is More: Recursive Reasoning with Tiny Networks.

A Mechanistic Analysis of Looped Reasoning Language Models Less is More: Recursive Reasoning with Tiny Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:53:09.592494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9a0eee5-bd97-4f42-a0e2-140289182212 · outbound

This paper cites Advancing the Understanding of Fixed Point Iterations in Deep Neural Networks: A Detailed Analytical Study.

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

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.617928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2a6aba4-a961-4cf2-9eb6-439cb4b5f152 · outbound

This paper cites Encode, think, decode: Scaling test-time reasoning with recursive latent thoughts.CoRR, abs/2510.07358.

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

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.603746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fa14fa85-8bc7-469a-8d3a-ea358e909a99 · outbound

This paper cites The Remarkable Robustness of LLMs: Stages of Inference?.

A Mechanistic Analysis of Looped Reasoning Language Models The Remarkable Robustness of LLMs: Stages of Inference?

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:02.710861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c636a9cc-f240-4ac7-92ae-4ddbac729e24 · outbound

This paper cites Latent chain-of-thought? decoding the depth-recurrent transformer.CoRR, abs/2507.02199.

A Mechanistic Analysis of Looped Reasoning Language Models Latent chain-of-thought? decoding the depth-recurrent transformer.CoRR, abs/2507.02199

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.701399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 013fbafb-933f-4d60-b9f7-165685c749bb · outbound

This paper cites Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Tom Goldstein, and Micah Goldblum.

A Mechanistic Analysis of Looped Reasoning Language Models Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Tom Goldstein, and Micah Goldblum

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.896029Z

Source-reported events for the cited work

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Observation ccd409e9-1ebf-4ebf-b3eb-29961993d53d · outbound

This paper cites Softmax is1 /2-Lipschitz: A tight bound across all ℓ𝑝 norms.

A Mechanistic Analysis of Looped Reasoning Language Models Softmax is1 /2-Lipschitz: A tight bound across all ℓ𝑝 norms

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.780353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba28b729-f7fe-44d2-8873-ed9492de677f · outbound

This paper cites Two-scale latent dynamics for recurrent-depth transformers.CoRR, abs/2509.23314.

A Mechanistic Analysis of Looped Reasoning Language Models Two-scale latent dynamics for recurrent-depth transformers.CoRR, abs/2509.23314

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.684769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f1de073b-72e2-4381-9554-58b00e32116b · outbound

This paper cites arXiv preprint arXiv:2510.06477 , year=.

A Mechanistic Analysis of Looped Reasoning Language Models arXiv preprint arXiv:2510.06477 , year=

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:03.044416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1206c2c8-2a80-4297-8041-60a9750b04ff · outbound

This paper cites Using attention sinks to identify and evaluate dormant heads in pretrained llms.

A Mechanistic Analysis of Looped Reasoning Language Models Using attention sinks to identify and evaluate dormant heads in pretrained llms

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.955625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8238998c-ea2c-49cb-84a9-081882e34dc2 · outbound

This paper cites Reasoning with Latent Thoughts: On the Power of Looped Transformers.

A Mechanistic Analysis of Looped Reasoning Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.869528Z

Source-reported events for the cited work

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Observation 35dbbb7e-74bb-490c-bb38-c6a64843d132 · outbound

This paper cites Sparse Universal Transformer.

A Mechanistic Analysis of Looped Reasoning Language Models Sparse Universal Transformer

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.824241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb6ff732-7a80-4786-ac25-2aa8942f7a93 · outbound

This paper cites Softmax is not Enough (for Sharp Size Generalisation).

A Mechanistic Analysis of Looped Reasoning Language Models Softmax is not Enough (for Sharp Size Generalisation)

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.845350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bb7fa5b4-082e-465f-99fd-7b0eba6fe762 · outbound

This paper cites Hierarchical Reasoning Model.

A Mechanistic Analysis of Looped Reasoning Language Models Hierarchical Reasoning Model

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:58:03.874482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 320ecbd1-b016-4748-be28-f5d7dc25916a · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

A Mechanistic Analysis of Looped Reasoning Language Models Efficient Streaming Language Models with Attention Sinks

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-11T09:41:02.852598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c8f329f-25da-4a7e-817c-b2c0a7016367 · outbound

This paper cites On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding.

A Mechanistic Analysis of Looped Reasoning Language Models On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.994569Z

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Observation 31921472-32b9-46a1-bc72-4cf406615250 · outbound

This paper cites Looped Transformers are Better at Learning Learning Algorithms.

A Mechanistic Analysis of Looped Reasoning Language Models Looped Transformers are Better at Learning Learning Algorithms

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:41:02.876059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b25e135-81a5-4a00-9d06-5c962785b0d8 · outbound

This paper cites Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers.

A Mechanistic Analysis of Looped Reasoning Language Models Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-08-10T01:13:53.509299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6eb5610e-c7a4-4b21-b665-46a9a9ef9cc1 · outbound

This paper cites Scaling Latent Reasoning via Looped Language Models.

A Mechanistic Analysis of Looped Reasoning Language Models Scaling Latent Reasoning via Looped Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:43:12.191103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e246ef75-be83-474b-94a1-a6bce069b6e6 · outbound

This paper cites B 𝑓 𝑗+1 (0) (Y ).

A Mechanistic Analysis of Looped Reasoning Language Models B 𝑓 𝑗+1 (0) (Y )

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.551633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d1bb449b-5ea7-4146-bd7e-5bbba18beade · outbound

This paper cites Hello! I’ve been well. I hope that you’re doing well.

A Mechanistic Analysis of Looped Reasoning Language Models Hello! I’ve been well. I hope that you’re doing well

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.548414Z

Source-reported events for the cited work

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Observation a5faf73e-1254-4c25-9364-8dc92b3a5354 · outbound

This paper cites Our small training runs in Sec.

A Mechanistic Analysis of Looped Reasoning Language Models Our small training runs in Sec

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.514856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d587d914-a24c-4ff9-908f-9a63a131fd56 · outbound

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A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:10:04.554708Z

Source-reported events for the cited work

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Observation 783a6352-764c-4eed-9f95-61faae778746 · outbound

This paper cites orbits” and “sliders.

A Mechanistic Analysis of Looped Reasoning Language Models orbits” and “sliders

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.521730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ca6f6f1-6d87-43b8-8042-a2ca6b359c42 · outbound

This paper cites Using this algorithm, we classify the limiting behavior over all tokens in the GSM8k test set for the Huginn-0125 and Retrofitted Llama models.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.507990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3e56b1dc-b54d-4cb1-abd2-aaa0a2b74f77 · outbound

This paper cites This percentage can be significantly increased with the longer system prompt, but these behaviors remain rare at 0.14%.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.531978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 35e5fe1e-4d1d-4782-bac9-1d6bf3895c03 · outbound

This paper cites Long Persona.

A Mechanistic Analysis of Looped Reasoning Language Models Long Persona

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.497458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4bfdecd0-d5be-4119-b69a-a8c38c07cf9a · outbound

This paper cites worst case.

A Mechanistic Analysis of Looped Reasoning Language Models worst case

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.504238Z

Source-reported events for the cited work

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Observation 91c9441b-9850-46f4-9927-38713f4febcc · outbound

This paper cites Left: Ouro 1.4B (Zhu et al., 2025).

A Mechanistic Analysis of Looped Reasoning Language Models Left: Ouro 1.4B (Zhu et al., 2025)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.511358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc1338a8-76fe-4cf4-8ec3-f4e00d55fb48 · outbound

This paper cites Left: Huginn-0125 (Geiping et al., 2025).

A Mechanistic Analysis of Looped Reasoning Language Models Left: Huginn-0125 (Geiping et al., 2025)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.544983Z

Source-reported events for the cited work

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Observation 88854ab3-7562-49e1-8398-34d60a470f18 · outbound

This paper cites Left: Huginn-0125 (Geiping et al., 2025).

A Mechanistic Analysis of Looped Reasoning Language Models Left: Huginn-0125 (Geiping et al., 2025)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.518414Z

Source-reported events for the cited work

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Observation 065c0192-02a2-4142-8189-87e2d818c008 · outbound

This paper cites approximate fixed point.

A Mechanistic Analysis of Looped Reasoning Language Models approximate fixed point

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.535134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e02899f9-19fa-4a70-a613-e6234a1b18a6 · outbound

This paper cites an unresolved cited work.

A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:10:04.473492Z

Source-reported events for the cited work

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Observation 497e0033-da9f-4e9d-9b4e-0398e0e5f0e1 · outbound

This paper cites an unresolved cited work.

A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:10:04.476760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation af2f5f06-8296-4b20-9b92-b03206788d18 · outbound

This paper cites Note Huginn-0125 and Retrofitted Llama have prelude and coda layers too: each 2 layers in Huginn-0125 and each 4 in Retrofitted Llama.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.490775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7be4dedf-dd9f-4cf3-94dd-37993787cbd1 · outbound

This paper cites upcycles.

A Mechanistic Analysis of Looped Reasoning Language Models upcycles

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.500686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d82a42d3-6d10-4ffe-a640-5ff1382b49da · outbound

This paper cites an unresolved cited work.

A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:10:04.494262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b9da5a2-34f3-4a33-a04b-c491a462fe1e · outbound

This paper cites Similarly, each block demonstrates very similar stages of inference to OLMo, the base model from which pretrained layers are taken.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.470683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8fca1d18-5933-4dcc-8759-07a9a69350cb · outbound

This paper cites an unresolved cited work.

A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:10:04.528572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a29f7ea-ca9f-478f-a2da-09d802fd4753 · outbound

This paper cites upcycles.

A Mechanistic Analysis of Looped Reasoning Language Models upcycles

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.557766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 752b169c-d193-4245-9b65-dcd503f8082a · outbound

This paper cites 31 A Mechanistic Analysis of Looped Language Models E.4.

A Mechanistic Analysis of Looped Reasoning Language Models 31 A Mechanistic Analysis of Looped Language Models E.4

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.480239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1022d78-27fd-4c63-b0bc-337221237439 · outbound

This paper cites an unresolved cited work.

A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:10:04.483175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3dc4e0b-a1a9-4907-b99d-53923b90ee31 · outbound

This paper cites ColSum concentration deviates slightly from its GSM8k counterpart here, but still broadly follows the same stages of inference as the feedforward OLMo model.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.486755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9cae6123-4cc8-41af-8977-3fc63e2d71c1 · outbound

This paper cites 33 A Mechanistic Analysis of Looped Language Models E.5.

A Mechanistic Analysis of Looped Reasoning Language Models 33 A Mechanistic Analysis of Looped Language Models E.5

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.538605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6366f201-0779-459b-8884-3decc81780cd · outbound

This paper cites an unresolved cited work.

A Mechanistic Analysis of Looped Reasoning Language Models Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-05-17T18:10:04.467679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64dfc0bf-e8cf-45b4-b94f-0254eabc2abd · outbound

This paper cites These consistently change throughout the realized depth of the model, reaching no clear fixed point.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.465093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91e50898-e382-4c5a-9072-08edbe3d7b5a · outbound

This paper cites These converge to constant behavior.

A Mechanistic Analysis of Looped Reasoning Language Models These converge to constant behavior

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.541895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dd9be5a0-08a2-4f70-8a77-7ef43d80fa35 · outbound

This paper cites These converge to constant behavior.

A Mechanistic Analysis of Looped Reasoning Language Models These converge to constant behavior

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T18:10:04.525139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 7b52531a-c3bf-4142-bb0e-0bdfd560d7c8 · inbound

Hyperloop Transformers cites this paper.

Hyperloop Transformers A Mechanistic Analysis of Looped Reasoning Language Models

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T14:16:04.583346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33ac2e81-d297-4505-9a53-f10cf490f5cb · inbound

SMolLM: Small Language Models Learn Small Molecular Grammar cites this paper.

SMolLM: Small Language Models Learn Small Molecular Grammar A Mechanistic Analysis of Looped Reasoning Language Models

Reference 57

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:01:17.195623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d62573f-86fd-4b26-8092-321d1a1b9050 · inbound

Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models cites this paper.

Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models A Mechanistic Analysis of Looped Reasoning Language Models

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T02:45:57.763917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5aad310a-faa1-444c-a08e-d523bc603188 · inbound

Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models cites this paper.

Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models A Mechanistic Analysis of Looped Reasoning Language Models

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T23:03:50.576675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3607a9d9-eb34-4926-819b-1cf7b7ead405 · inbound

Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification cites this paper.

Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification A Mechanistic Analysis of Looped Reasoning Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-20T21:03:46.812477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a15dbdce-d234-409b-a0ab-19e6b0632884 · inbound

Simply Stabilizing the Loop via Fully Looped Transformer cites this paper.

Simply Stabilizing the Loop via Fully Looped Transformer A Mechanistic Analysis of Looped Reasoning Language Models

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T23:23:51.725324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5cbadd38-9bf3-4ebf-b10e-52ace2e609b4 · inbound

Chain-of-Thought and Compressed Looped Transformers: A Memory-Budget Separation cites this paper.

Chain-of-Thought and Compressed Looped Transformers: A Memory-Budget Separation A Mechanistic Analysis of Looped Reasoning Language Models

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:22:47.382110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df30531a-35d4-40b6-bfcd-1bd4c0310d9b · inbound

LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling cites this paper.

LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling A Mechanistic Analysis of Looped Reasoning Language Models

Reference 46

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T06:36:44.173841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8905cecb-f669-4a74-be1e-2a2e71e1ed7c · inbound

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers cites this paper.

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers A Mechanistic Analysis of Looped Reasoning Language Models

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-06-27T00:40:17.905781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8dcceb3-c59e-4bfd-adb0-55e845c8e8de · inbound

Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models cites this paper.

Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models A Mechanistic Analysis of Looped Reasoning Language Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-03T17:08:44.022428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a53af8d-45c1-48bc-aad2-09f2e4f742d3 · inbound

Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers cites this paper.

Looped Latent Attention: Cross-Loop KV Compression for Looped Transformers A Mechanistic Analysis of Looped Reasoning Language Models

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-01T23:22:30.480923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a498d77-a08a-43bd-8358-826a1646e612 · inbound

On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers cites this paper.

On the Diverse Dynamical Behaviors Arising in Deep Linear Transformers A Mechanistic Analysis of Looped Reasoning Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T15:05:00.270825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d99a086c-057f-4bfa-9578-2f36102864a4 · inbound

When Does Recurrence Become an Algorithm? Convergence Selection in Weight-Tied Looped Transformers cites this paper.

When Does Recurrence Become an Algorithm? Convergence Selection in Weight-Tied Looped Transformers A Mechanistic Analysis of Looped Reasoning Language Models

Reference 1989

Resolution: unresolved; no resolver link, observed 2026-08-01T10:14:10.628781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.