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Paper Citation Record · LEDGER

Reasoning with Latent Thoughts: On the Power of Looped Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 52 inbound Pith citation observations for arXiv:2502.17416.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.17416 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 52 of 52 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:22.838412Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c0015923-daa1-485b-bf05-312c7a157d65 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 149

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arxiv_id, observed 2026-05-14T01:29:56.735563Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:243cbd914e6c789ef8e31c1713539e1ae5f698c976cb1aea29c20f58cb814139

Observation 02003bc6-8d18-4194-b034-5ba1f504b228 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 168

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arxiv_id, observed 2026-05-22T21:22:08.824654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:40e7ea8413d5728569fb24bc3f86073e55c768fef6f40db586f9b5ba9854a9b0

Observation 8bf780d3-8dc2-4c49-b3b5-3aadfa905863 · inbound

Multilingual Test-Time Scaling via Initial Thought Transfer cites this paper.

Multilingual Test-Time Scaling via Initial Thought Transfer Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:20:22.838412Z digest=sha256:a9fc694b6fff6f0133918e792f27664f26622a32599a65cf3ab24564a57c6bc0

Observation 712a33ed-a130-45e1-a0e3-3db6b8393394 · inbound

LARES: Latent Reasoning for Sequential Recommendation cites this paper.

LARES: Latent Reasoning for Sequential Recommendation Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 26

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no resolver link, observed 2026-08-07T14:59:18.365892Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:59:18.365892Z digest=sha256:a83126ae902df82b10d0993cb86ca139fd7bf1257435f51d2e408afaf588d3b8

Observation 9f4f3ba8-e72d-40ff-9ee7-72bce75c6385 · inbound

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought cites this paper.

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 7

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no resolver link, observed 2026-08-07T12:38:58.395003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:38:58.395003Z digest=sha256:352e690f68dcba22f37d3d5f9f5bf54eaeffeaa91af7817c08c20d39b02aec33

Observation 50f7614f-df43-4b46-b11c-55a5faa55804 · inbound

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 73

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no resolver link, observed 2026-08-07T10:42:41.011502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:42:41.011502Z digest=sha256:755604553015529a10ea64f3477daf7c3fa1e74f34690e2d8166b17d983b6b7e

Observation 1b52c106-aedd-4ac3-9c20-7d8b83662f4f · inbound

Energy-Based Transformers are Scalable Learners and Thinkers cites this paper.

Energy-Based Transformers are Scalable Learners and Thinkers Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 127

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no resolver link, observed 2026-08-06T20:42:38.656290Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:42:38.656290Z digest=sha256:316ff9989de77aded322468127326cf277dfee6e438451f087542f404470943c

Observation 7cb73c37-19bc-4b79-865f-0299409f9023 · inbound

Fast and Simplex: 2-Simplicial Attention in Triton cites this paper.

Fast and Simplex: 2-Simplicial Attention in Triton Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 30

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no resolver link, observed 2026-08-06T20:31:47.946894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:31:47.946894Z digest=sha256:5b7e5dcbc82f4f8c26a10a8e0dd5a68555fce0e7cd5c1b7f60c0281d893df2a8

Observation bc81bb00-2fc9-4ca3-b39f-42356edd5a59 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 86

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no resolver link, observed 2026-08-06T19:14:30.202361Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:30.202361Z digest=sha256:5d5593b08942c988406843b78bd816e3c7267a3f7f259001288d8146b1af0f95

Observation da14d553-b976-4338-b319-1dd60a2956b5 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 159

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no resolver link, observed 2026-08-06T17:54:17.624266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.624266Z digest=sha256:ee99be978dce1b0a2cc3f8ce188853105c3f135dadcfe798f69b6cd6757fae1c

Observation af33b641-d149-4c9c-b427-126ad1cebacc · inbound

Implicit Reasoning in Large Language Models: A Comprehensive Survey cites this paper.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 62

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no resolver link, observed 2026-08-05T11:39:36.715709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.715709Z digest=sha256:56af4b2c4cccc436b1b9f22a108f28696f64514c29f7de8128689a2da5520119

Observation d9cca2d0-50a0-414e-84a8-f613b453f372 · inbound

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner cites this paper.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 34

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arxiv_id, observed 2026-05-18T10:16:14.089168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:e10f707fe09deab3a8a3110787b72e2b9ddf7fe356056619f6412befa4556ef9

Observation e190bb00-e0fa-447c-8696-86d533a0ba69 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 7

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arxiv_id, observed 2026-05-15T07:43:11.747494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T07:43:11.620446Z digest=sha256:e61dada45f19f2e0a5ff22650eb43247d6e50a95b81d4c7d7a42104778bc660b

Observation 7a43eccb-01b9-4a4d-a032-00cec2c9329b · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 7

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no resolver link, observed 2026-08-04T07:31:11.090646Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:31:11.090646Z digest=sha256:7986abdd94752129f39e200c7fbd9df65b9cdfa840ed9db202dbab9ab5e5cc45

Observation 7a9b6fb7-0a38-45a5-aade-a4a8b05ec364 · inbound

LaRe: Latent Refocusing for Multimodal Reasoning cites this paper.

LaRe: Latent Refocusing for Multimodal Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 52

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unresolved
no resolver link, observed 2026-08-04T00:15:17.660086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:15:17.660086Z digest=sha256:e03d7dce6d4a6885c8bd47bb1898c723d14ef4b35b9365904fe6e0037f113ba1

Observation d20ec48a-91f1-4dd6-b1d5-ce6212ae53dc · inbound

Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models cites this paper.

Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 2025

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malformed identifier
no resolver link, observed 2026-08-03T01:09:24.476096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:09:24.476096Z digest=sha256:f1fc4f120014c0488da62a9577c71b1ac6e6b49dd950bc690f21a0ac80c8b728

Observation 97da0e0f-54c8-46e5-acc0-04f226e0c45d · inbound

Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers cites this paper.

Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 21

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no resolver link, observed 2026-08-02T22:08:42.555183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:08:42.555183Z digest=sha256:b188a28201447b52df5cf2aa5d9b85e1c38d0da7b158a6c4524d1c25820fb508

Observation ef2b899b-92e5-4a83-8c7b-793a18f7a1d5 · inbound

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning cites this paper.

Beyond Test-Time Memory: State-Space Optimal Control for LLM Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 29

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no resolver link, observed 2026-07-15T12:09:16.468055Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:09:16.468055Z digest=sha256:2651e7e0ad798c454e0058c69badbbfe823e7c20c9bef51022aca92982b2aa07

Observation 0cc44915-42fd-438b-b59e-f13505c71d1d · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 64

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arxiv_id, observed 2026-05-11T07:05:59.832283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:19:22.543462Z digest=sha256:14dd81cc60dcd42d6e0a901f79b3615894c1d0a53ac160a56afc685884366ac2

Observation b9805dde-79f4-49ab-a655-4251b447537d · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 61

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unresolved
no resolver link, observed 2026-08-02T16:35:03.354835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:35:03.354835Z digest=sha256:67ad1bd4d92bc748e0d7ba923818049eb102be9ad8d3afe22c48dc3b2abca371

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

A Mechanistic Analysis of Looped Reasoning Language Models cites this paper.

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

Reference 26

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verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:d4617a618777a454d16fb627ccb5bf40ca33b4fa722214f3a332ea976b991543

Observation c46d9110-389b-429b-b60f-141fa562ffd6 · inbound

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task cites this paper.

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 22

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arxiv_id, observed 2026-05-11T10:16:07.361356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:34:02.796850Z digest=sha256:26cac3157542edf8e9a56ad13846de62fb9eb7bfc71055b701248da9864631d7

Observation bf2d6e89-6089-47cf-a15e-2f560cd34e62 · inbound

Parcae: Scaling Laws For Stable Looped Language Models cites this paper.

Parcae: Scaling Laws For Stable Looped Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 70

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arxiv_id, observed 2026-05-11T10:21:01.078033Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:33:04.442462Z digest=sha256:1f757f7a14b63abc6161583972a6578986916fa8eac71b1ed958f45835e763dd

Observation 15b83aef-87ca-490c-a776-ecfcad59f2bf · inbound

C-voting: Confidence-Based Test-Time Voting without Explicit Energy Functions cites this paper.

C-voting: Confidence-Based Test-Time Voting without Explicit Energy Functions Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 12

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arxiv_id, observed 2026-05-10T13:05:24.991777Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:02:52.920735Z digest=sha256:8fdbb65b38bd9a04f4b3b427abade88a4a658ca2006b8365e55f56d5fc56137b

Observation 353d52e7-d714-4cb7-8e7f-1bb5605c4ef7 · inbound

LLM Reasoning Is Latent, Not the Chain of Thought cites this paper.

LLM Reasoning Is Latent, Not the Chain of Thought Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 37

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arxiv_id, observed 2026-05-10T08:53:04.652075Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T08:49:05.178087Z digest=sha256:2fd481050e98825cc7fe7cc519b55e945c0e881ca588eb86558451bd54c5a6b6

Observation d2bfa3f1-99f7-4870-9bac-b415cc3f8449 · inbound

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 216

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arxiv_id, observed 2026-05-10T11:05:09.063513Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T04:56:35.796962Z digest=sha256:d4c1c7f985cd5c5b5e4fb98e6c8300b6cd9c120fd338c2814e08e3b491f36674

Observation 78b3bd42-4177-4696-925d-fdf5211416b3 · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 99

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metadata mismatch
arxiv_id, observed 2026-05-09T23:54:45.150353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:c2606bde92ab0e293b230b00b307f7f532a62e06d3d1e7b6f5a53ea540dc9101

Observation b12cc754-03b5-4fc5-8e6f-f66773922460 · inbound

Hyperloop Transformers cites this paper.

Hyperloop Transformers Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 20

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arxiv_id, observed 2026-05-11T14:16:04.449359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T23:09:35.640412Z digest=sha256:c4e0a74e3fb42aafdf73d462238c66b1f32c1a2a1d60f9c520d36f3801c3f91e

Observation 63857b0f-54c6-465c-9e58-75ca4116e0a4 · inbound

Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning cites this paper.

Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 10

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arxiv_id, observed 2026-05-09T22:49:15.465433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T22:48:07.828512Z digest=sha256:49eefca38f3d1010026c6a6984caa21d8a13be95a4ff418f432c547752b5055d

Observation a66a5a5b-6914-439b-bdab-844b8c6dc838 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 91

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arxiv_id, observed 2026-05-11T20:06:09.738772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:9aba152713f6b1b6717d77e4c95e5d8df31a8f6ac87b8b942e7d272933175963

Observation 8d5174fb-2a46-4e6e-930f-c00f975ab480 · 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 Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 8

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verified exact
arxiv_id, observed 2026-05-11T02:45:57.756168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:44:36.697450Z digest=sha256:040ce75bbb987d4b24edc5ed5e97ba25c80bef73850d6df21bff2fe2ba13aae0

Observation 2a8bc25f-2f6d-4dd8-874f-2fd38650f152 · 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 Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 8

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verified exact
arxiv_id, observed 2026-05-20T23:03:50.638290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T23:01:17.957634Z digest=sha256:93acb8e83b1cd0996394a0cfd157f0efa8cd2ff83534d91058f3fc4d31ceba7d

Observation 49c59b8d-9409-4184-b938-ba1b567205c3 · inbound

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

Simply Stabilizing the Loop via Fully Looped Transformer Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 7

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verified exact
arxiv_id, observed 2026-05-20T23:23:51.750269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T23:19:28.027625Z digest=sha256:2100328a4dce16dfbc9591cf5bb50b78c70c4320f528abc4d7a5d9a5939508ba

Observation b58e58ba-6aa5-4f90-8692-d968583da0db · inbound

Block-Based Double Decoders cites this paper.

Block-Based Double Decoders Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 13

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verified exact
arxiv_id, observed 2026-05-20T22:09:07.449236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T22:05:25.465669Z digest=sha256:e8bf6937ec636cd6b89252ad85025b6d63c477b105d74512de47ed6e988c3bfb

Observation 76837477-f37d-4f0c-accf-e52961418fe6 · inbound

Block-Based Double Decoders cites this paper.

Block-Based Double Decoders Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 13

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verified exact
arxiv_id, observed 2026-07-01T14:15:47.081196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T22:10:23.224012Z digest=sha256:08ef3a42ed5efc401ca70d49804bb05f0e869bb037bc490f02238ec8bf24e7d4

Observation c73cadbe-efcd-4bd1-a884-fac9de17f991 · inbound

LACO: Adaptive Latent Communication for Collaborative Driving cites this paper.

LACO: Adaptive Latent Communication for Collaborative Driving Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:21:10.113670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T06:20:50.767604Z digest=sha256:13eeb88cf30d4e21de60356c175a48c0040ddf571c0bd7777b5dfe3e9d8ebdff

Observation b9e5bb38-a80c-427b-a380-4b8f1716bff4 · inbound

Learned Relay Representations for Forward-Thinking Discrete Diffusion Models cites this paper.

Learned Relay Representations for Forward-Thinking Discrete Diffusion Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:00:22.917030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-25T05:58:38.285214Z digest=sha256:42d55fdc4c24d829e9fbf3914fffe03de229c6cefbe1e6f874032e7a42113283

Observation ee2884b7-2007-4a8b-b300-8f769aa41589 · inbound

Learned Relay Representations for Forward-Thinking Discrete Diffusion Models cites this paper.

Learned Relay Representations for Forward-Thinking Discrete Diffusion Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:24:56.677040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-30T17:19:17.567336Z digest=sha256:2bf4156f28f0f1bc2f9e034163e5babef3791f852260f572c38e78ebed92baa0

Observation 7e7120cb-0360-4cf7-b7a5-1347befebf7e · inbound

Looped Diffusion Language Models cites this paper.

Looped Diffusion Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:14:01.123486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T23:13:12.343355Z digest=sha256:d348f2dbe1d703c04650e4be181c662e63d257f1e186f510b50461d4404ea6dd

Observation 9a17beca-c812-4ab1-a04f-3c767b2722c9 · inbound

DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts cites this paper.

DAG-MoE: From Simple Mixture to Structural Aggregation in Mixture-of-Experts Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:16:14.423060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T17:14:53.648013Z digest=sha256:192bacd9d42f5f6eb8a575623ba3dbd05c8961ef411361ea9dc4f560fcae5be5

Observation 2cd56d9a-0e05-4213-bbdb-0601980deb85 · inbound

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 92

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T11:46:55.347212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T03:07:52.730713Z digest=sha256:42b29fe27655693faf641f213fcc2461165b05c74c571d878bc4b4626b1bd509

Observation 2e1f5c09-ff35-4c3f-ad54-8930ffb0ca84 · inbound

Dropout-GRPO: Variational Stochasticity for Continuous Latent Reasoning cites this paper.

Dropout-GRPO: Variational Stochasticity for Continuous Latent Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:17:29.496741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T17:18:22.389146Z digest=sha256:feb58cd389567f8fa1ab9a130531531141e82c22f0f580c160ff5bf3618aad7c

Observation 967d9a12-8de4-4437-aabb-8f7943828323 · inbound

PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space cites this paper.

PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:58:58.536515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T00:57:58.312567Z digest=sha256:b510d1556f3fd2b9fa3d283af7174b25883fd2b27b4fd3d60b7fcf9c1b641770

Observation a2e456b6-afdf-417d-bb1b-1edc9018e39f · inbound

Repeated Shared Access Enables Grokking, but Edit Propagation Depends on an Addressable Memory cites this paper.

Repeated Shared Access Enables Grokking, but Edit Propagation Depends on an Addressable Memory Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:09:18.563231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T20:43:55.740662Z digest=sha256:3bb3037e4ce63056289bdc9138b0c856b3c11b21c5f3127f8abf71fca94f0e45

Observation 018cb2a6-60df-4469-9713-a0e72483a612 · inbound

DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning cites this paper.

DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:56:59.374842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-02T13:46:59.407102Z digest=sha256:33f522a335cb641751b4d1f7b3447986a93e6c8b8a0c14a8f5e0460e2c4c40e1

Observation 32383191-b273-49ed-9fbb-92582889a49e · inbound

DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning cites this paper.

DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T09:18:44.591386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:18:44.591386Z digest=sha256:7a0f1e484c995a10e00f6fd9b67256faf523ca222d026658ac1c8f31b5f9b19d

Observation f080ee9e-ff10-427d-b3ae-4f535125ffe6 · inbound

HALO: Hybrid Adaptive Latent Reasoning for Language Models cites this paper.

HALO: Hybrid Adaptive Latent Reasoning for Language Models Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-13T08:04:15.548790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T08:04:15.548790Z digest=sha256:7692132c658294b787f8407cea9792d0e70e2b290b0a062d28e4b18a68d7bf75

Observation e76d8fd9-76ac-4873-8ebc-75ad7cc8651a · inbound

DeepLoop: Depth Scaling for Looped Transformers cites this paper.

DeepLoop: Depth Scaling for Looped Transformers Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T05:05:25.615490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:05:25.615490Z digest=sha256:ab36fa2fd19ac0d9bebdb6872df74dd42712131efb738b04816293b634031520

Observation fdc3d44a-a339-4df2-aac1-8d52271f9e3b · inbound

Mobius Learning: Cyclic Depth Folding in Transformers cites this paper.

Mobius Learning: Cyclic Depth Folding in Transformers Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T16:53:42.884721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:53:42.884721Z digest=sha256:653b22983ae484c12e7ed25eb8ea2f33ee1c2ab6855a871ef1ae4ea63ef21da1

Observation 3a6cfb9c-d00a-44b1-bc49-bbdd0057ead4 · inbound

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary cites this paper.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T15:08:38.761430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.761430Z digest=sha256:f5c5a193807c56c8414da7ed0c5573e9d070d32e5a69432037be2f45b9aad2ba

Observation 5b82edb7-4621-44a5-b01a-e79e0ef597ed · inbound

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts cites this paper.

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T08:13:29.859915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:13:29.859915Z digest=sha256:e69d83076bc5ea2c788f74d8a583816615bbdb0551abda09752c18adb175b79f

Observation 619a0a50-b210-4cbc-bcfa-4f77e83568cd · inbound

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval cites this paper.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T07:51:12.914697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:51:12.914697Z digest=sha256:20aa4349ae3f7ddb192c619db903119165d7e7593d651639fe96ff5326d6544a