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Paper Citation Record · LEDGER

A Mechanistic Analysis of Looped Reasoning Language Models

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.

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 2026-08-07T06:34:17.273281+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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:a5791fa7a59fafad227100887e7d7d25e350a123901a11cd0096446549c1c0cb

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:041ee3362c85faa51165c348e1106111c8cab8ca45ddc030dd99c594ff03cc34

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:1e4ded5f3e32059a3239a9d8d05efcc41c67d5f90f963b5f44dd6b9547e3e77f

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:1ae3d60c068a310f1be917059d33a361c95f98d434224cfeef39c7b2710f79b1

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:72eec26207c53d1a147edc24104e8c127d24c1922553b28340ee9a381fc3afd4

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:cad2db3234c2b09c1c2b51c4bd837b908ece067d6173d384a45ede995f1ca8a7

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:5800f838d07bf8f2f5dd70b5c271473621fd03b0d46c9b483f600149353c6d89

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

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local_arxiv, observed 2026-05-11T09:41:03.034516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:9973aa70196bebbda06e79186337f6f1bdf4df83b2233d027537a5bbc5f9124a

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:7daec950f3f54f48292a57d16deb9717b26790a3b1266f6f0393164f68cc0b89

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

This paper cites Universal Transformers.

A Mechanistic Analysis of Looped Reasoning Language Models Universal Transformers

Reference 10

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:ac80d9b8560f04a362e83945214f37c89ef0b1fec60fd50048665fa4b6709912

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

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arxiv_id, observed 2026-05-12T15:39:41.804715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:fd4375dd53812f465219d95a05e14937db57ff22659b8d8a8a0c09386d632e41

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:e329636da78703dc6b88844221d90f00f47ac71d4d344a1ec94f0688f264e246

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:c1dc696f231b518d6c6d015e62fda3dcd61a455925e0bd0a3ee76186787befa6

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:e2f003b81698773ca5878a1efe0b3db7579563a04709d918e460745e3d11a13b

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:1de7adb4d8c16265bd0efa36e6e11fa1d48e6e9467f77135097735e04a10fa76

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:6c96f075d93298067f936743ffa7983c581771f9bd5e570e392012f0d88d1606

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:cf9066bf63cde5450067cb666b21cb2294e2287342b90511e0ac794d5661e372

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:b9a6d2a8effbcc377249acd5607ae423903c2f342183c37914184652009e0f6e

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:333b9cf5642c722c41c711c54d6572f37e846901bf799f0361866d551dca9451

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:92b28fe7c154d68dd7f171c407065b64c649c59aa3b9e4094a2bcd6104fe4b23

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

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arxiv_id, observed 2026-05-11T09:41:02.896029Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:37d88fb6a7103862f2ea468cf70060736973a435f5fde73fc1f87cdbaf06fead

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:3b9706a10fa55bbd734afc94c47fe5caaa255d9e3f1a3371f5fd7a8ca820633c

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

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arxiv_id, observed 2026-05-11T09:41:02.684769Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:6c904b24155426cbc8a0bd8d7d398431c7965f994d23afd9405e76f37653697d

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

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arxiv_id, observed 2026-05-11T09:41:03.044416Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:a63d62a106b60026120106887fa71475faade50615cd4a42e063de45719432eb

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:d33fab909ddbe0c805d9e0ae19f2e02b59a83870167ba3c3589765d9e8713ed2

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

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arxiv_id, observed 2026-05-11T09:41:02.869528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:076ccd42a8f989bdbe8b3d9778433669769aead4c10c554a3853dc643c21f92c

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:d47f14cbf709dfc38a57b2f5c284d060b5521fd65a50dfb363748de8cac53426

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

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arxiv_id, observed 2026-05-11T09:41:02.845350Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:5decdf7ccc5bc59a593e035e52956ab77d99f78243a84b48eaec24e77432907b

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:cf761b336c3d728b01193c45f51645e09dbb4825bf5659f9eba68802cdd35bd4

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:6e2e1e5302338d0fe1934c40c345017c3b8caa3a18ea9adf45837a40dca250c3

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

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arxiv_id, observed 2026-05-11T09:41:02.994569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:51ce93a07ba07a9a5232f25957108eeab74edbeafaf5485f29b7c064b811b1e2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:5956237454614916bdc34185a5fa29ded6d0afb337035071638f0a92d3a636ab

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

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arxiv_id, observed 2026-05-11T09:41:02.760958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:ac0a1603a3e9a36a9f767b6458b8fc3efe2f77a0f96d9acc5cb732ed4b8c50bc

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:476b5a5b268ab0706728586c8f09928abd445a9e0058c6b42c31575032d6b8dd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:62086aedd1e8e77786a83248729b3830b47357bcf039cb4fb3d15516abb1e2fe

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:ae6f809a1857d0e424edd65dc823417a70b623761915c8390a4f904711c2d954

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:b7052e8fc1b68e5a8b7b4141dc107f7b5be98ec48ac50d346435b5ecf0385df7

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

This paper cites an unresolved cited work.

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:1c0f080b610d6edf0bb0a5081716795fcb128e0e1f113ea2a87862ec7c9b31ef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:4873efb680d6ba335818930e13cee621844de33238ac3e6143d6df01ad95f11f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:6e492f83eddd2e1659b71b77eea87f65305b1aa4aa7382b4ed1bc4d416fed346

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:54a0fdf4c0228f88c60404ac916eeb9223e2880633bb5684e22ef851dec9ea8b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:d4fff0e7a9339a51bb16ea40eb2b9b5812b3889f445b4777d708947218d513b4

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:149fae16af147fbdab5ea11eace01a823cf7dc5e74c1d154931bd40e86149e6f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:15cf367d50a8e25c32ae39542d726cc1ab8ca3e870b4115e52bf5ae808b77785

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:8b485c4286a01acb3d8952fc76eb6dac59f4f6110efe890ec321cdb80b60e466

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:d9821220ebc3efc85e7e95329afcb56c7774c47c884dd478a0e011dd9e0f0afb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:f38247f96c64143ddf49562368794e52a92d7e4dc13b80f58e3bea244610394f

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:0759d4d9cfb6b4d8304455f95949387a78e81ec51f0592ecaee68e3228b1e8ff

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:feb940bff46382f527f1d823165d2c508df987a1c32ff481833e1a3149bb4697

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:53dff9dff870bf743f0e6605beed5f33f908e9718cce04d2e36d29b140446602

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:bcb3cd4471b3fad3eaac6cd17efdaee188904ab4f326c5026bdccfb09bbbca5a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:d601de080cbea180c5581a7f132a51bd6c5bffcbfd3c1f38182fe8a0f7a6b5eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:4014d18a9d4a4b5c54c0ad91c7d204f78a3cd5734bb920df45753d3c651258bc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:53904610c04bf473f1af5356ed2bc1133ecbfa95a45d6c5489860922cee0c5fd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:cc7d5846cc751bf625d289edf9aa2fa75a5b49e06595cdfd0691a3fc2e909162

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:32f5029163fc9b7fa697537de58529a9b37e1809de738c130dd10f6ec84eea2d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:3891134a89358480e118fe8c8eab695409a3b888a43057667ffe1b6b16cd87b9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:8e9060a3fcbebfe1c17c857a957dfd5103fe981e3e0cb0cc6f893a7c1f8c4f3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:601c2aa3a9672d40ab6d469dd174f70b1c8a24087dd1795fd754eefa289c5d8e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:8103adbdb332c0356e4f230c7ace359be8fffcf54ab114cd8b2087e090e0f59e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:ed3ef0432b63440b35d87f45b8f31773d602c7674571ca0afa7dc561bf9777e8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:bb4118556c237d5347fbe40f871c8f9dec7a90ca4e797dca34780bf8c96d364a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:3881d33b1af9250be5d249f5b2f956bf53236e1621c2edb1919ff35a1c923157

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T23:09:35.640412Z digest=sha256:a43fe70c1259dfea3935cd0f66a5ad37e9407e89a27332408700f3a7313bfcef

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T12:57:47.721361Z digest=sha256:a17e2fa92f03802b3df48884906f7361514df0ad79096f1710c82fdc9866d303

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T02:44:36.697450Z digest=sha256:b1e79be71637aee8f7a695afaa445c4c8bc66227a5bce0e64adae0438fbbb3f0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T23:01:17.957634Z digest=sha256:86d4197c7fd1661afd51a4deb1f31034264514a67f3b2360fbd0a42e3a8e76a1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T21:00:08.834902Z digest=sha256:d7bec25bd71e6a2a3d2d1e7fbe449d88bbd47d12a0ba0a8e296dcadc756a3752

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T23:19:28.027625Z digest=sha256:b4753a7f7e13e64f583cfafc6d53bfc3ef6e2c4ba08bea8362ad6c26c6098232

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T23:17:12.797287Z digest=sha256:e1ebd862a3729e2a213cfef339818112833c53d27a8cd0ffa818aadccc429c99

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T07:19:31.075298Z digest=sha256:fe4a5d5411babd895c68b0eefcdaf5b8069557132d539072b65f95856a0b42d5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T00:38:47.350106Z digest=sha256:b4030cf1248732fee1a9eaeb19e662652e133e16183aba5eeb5112f158d83d21

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T04:27:48.590008Z digest=sha256:8fce0d3b1585d62a72ef4f8a8a07782ee85ae15b224afe4ed9d256788c264626

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.

source=pdf_text observed=2026-08-01T23:22:30.480923Z digest=sha256:9d2d8c0ef1408e6efa8530b99a93daad6953c0d397ea08be880ae958f076ba66

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.

source=pdf_text observed=2026-08-01T15:05:00.270825Z digest=sha256:9e5be50e4b45cfaec8198a5aafb1630d0f26900ae2d4a20be6db95a15f594da2

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.

source=pdf_text observed=2026-08-01T10:14:10.628781Z digest=sha256:8b1d4ad62228e4dd34d1bd2cb84018c084302ff4923d0e4a0358433b2e9bef76