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Paper Citation Record · LEDGER

Reasoning with Latent Thoughts: On the Power of Looped Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 50 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 50 of 50 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 50 of 50 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:38:58.395003Z

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

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:8698e60c7823779d13553f80edaf166d4a5088f75fcc2cd9cbec93d1b617f3d6

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

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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=2026-05-22T21:20:07.238992Z digest=sha256:21a0b60c11764d4564d8b18f292205e96dc335980e733074dd86d6ea69f4f00e

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:38:58.395003Z digest=sha256:d0df242b5f41bfc49e3837acc82bf125f610a5eb67191fcf9559238db99f6306

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:d32b94b925b1d09f04a0553e5811404e0b83b5c3bcd3648210436162b88d43ad

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:42:38.656290Z digest=sha256:d3861a31aead331751930a44a40d201aaec6b9044d19dce5cbbce96daf0b76bd

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:31:47.946894Z digest=sha256:a729a9152b4478c7bda4e58ece85680efabd0043431f83057d303a168a25d91e

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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source=arxiv_source observed=2026-08-06T19:14:30.202361Z digest=sha256:ecfb9074df3199215a516dbc9fe78c4e8d4b1931cc57a46c341a07dd806c1c3b

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.624266Z digest=sha256:585fccf832de8fd7911fd2e43ba1760a7d51f5f998c5b8c0293b9ac53703901c

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:36.715709Z digest=sha256:8dbca8970915928a4b056f39da07bd074da91bbd1ea32686ac3da36158304bcd

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

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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=2026-05-18T10:15:10.746336Z digest=sha256:0fe20bf47580016c09525c85f6331719e968b17cf4e64612b080604ac88f098b

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

source=pdf_text observed=2026-05-15T07:43:11.620446Z digest=sha256:398676d14ec8c49a4a9b09c5f6da315879271720b8e06dc3a425d64b50d8e4f2

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=sha256:2ea818a34b2ea90748f9c8a77e8739c6dc3cc2ea3bc3ecefba203f95471ed5c3

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:15:17.660086Z digest=sha256:7dc93c0162cd4b0c53c6b7e9c98e2392a4a880c4b51f6a16905b586d626a840d

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

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source=pdf_text observed=2026-08-03T01:09:24.476096Z digest=sha256:5364782a3c6227a205e1500c49b10b8c87a474e73fc30fa30d9a86652a12a55d

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:08:42.555183Z digest=sha256:76fa867b76be06b90acde1ce137d987ad38ea110eceff380ba280fcf5fba7f9a

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=sha256:26afdd9da3f3ab147a23d3ca48622f028760e50707b14e3f8df01466898e5d91

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

source=pdf_text observed=2026-05-10T17:19:22.543462Z digest=sha256:19cd346b9a43cafdf29f7cf4d3022b567ba1488e11da2a8144a66d3e6579defc

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:35:03.354835Z digest=sha256:ea17bf5e71de11b4b04d6c08ac38d6116641997cdd0cac4f6cafdb8e0584af80

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

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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=sha256:076ccd42a8f989bdbe8b3d9778433669769aead4c10c554a3853dc643c21f92c

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

source=pdf_text observed=2026-05-10T15:34:02.796850Z digest=sha256:0c44e1ed5b927631e735d06b90e59f937fbc0cde295d0934bf77cb5915b236e4

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

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=2026-05-10T15:33:04.442462Z digest=sha256:68a129e84cd77512cbd63bc7df23abc28b52b3aec2061e0968fa84fba1998a3e

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

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=2026-05-10T13:02:52.920735Z digest=sha256:c2a32af2c918bd7890735bde1d63c1843c2e9a5befec52ee7604b947220e557d

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

source=pdf_text observed=2026-05-10T08:49:05.178087Z digest=sha256:06d0bd7c811048b27ee75be920b28eaf63bf4ab64883b8819283c0d1e3f8e086

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

source=arxiv_source observed=2026-05-10T04:56:35.796962Z digest=sha256:55e10d60b3a94fad98b4e03a34656e6d6cd3447577b48325cbeca2679a82258f

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

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

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:6e2f895b9a35fb9ad3228b8e5b9248328356ef045b636ca267d6152edcb99844

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

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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=2026-05-09T23:09:35.640412Z digest=sha256:27f7f7f3977d9e9495c663c191ffd79b8599972e5f1450115bb0e192c07bb2ca

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

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

source=arxiv_source observed=2026-05-09T22:48:07.828512Z digest=sha256:abc6ea174782d8c856d0fae4b7b3a3c30b87ff5ce598e47508e934158a16b77c

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

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:b1d711a43813061d55861166a7b2874c6c8cfa401a3f26fe618ce8fd73b437bc

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

source=pdf_text observed=2026-05-11T02:44:36.697450Z digest=sha256:7a7b5b2ec974007d0f5f1fc5fa7cc04ba12bc24cd7a882661dda05bed05e8129

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

source=pdf_text observed=2026-05-20T23:01:17.957634Z digest=sha256:bf120cf51e01ea1ada0a5ca8f7ccfd3427bc234e69d838b0069815ecb15ae7b7

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

source=arxiv_source observed=2026-05-20T23:19:28.027625Z digest=sha256:829030cf91510feb3710ed9b2eeb3287337ba3ba3f5047d23c4ae754037f7f95

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

source=pdf_text observed=2026-05-20T22:05:25.465669Z digest=sha256:4a713ac6bbe32df8d16814e5332abd9677094f359acbf2f49d5611d06945fa32

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

source=pdf_text observed=2026-06-30T22:10:23.224012Z digest=sha256:a963700258766df73b6226837aae9be850648cb08c6fdc8c11ee04ad63dee89a

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

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

source=pdf_text observed=2026-05-22T06:20:50.767604Z digest=sha256:ac9abef2884fefe9c5f037ed8fcc7090544c7d72b6d4ae8bc1d43ae8d957b7e9

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

source=arxiv_source observed=2026-05-25T05:58:38.285214Z digest=sha256:a49b5979300724efe3f854479f5bbae5e57b927395a0c59e2b0482f95801d932

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

source=arxiv_source observed=2026-06-30T17:19:17.567336Z digest=sha256:47fc60f4ace812053ae72ffb8997d6413603bee34ed54a2b666971e790e10196

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

source=pdf_text observed=2026-06-29T23:13:12.343355Z digest=sha256:9294b943939c53f6711d10bcd1e78821792771edc18b2db28ef0c82fc7f2876b

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

source=arxiv_source observed=2026-06-28T17:14:53.648013Z digest=sha256:f625f9dfa10e80cfb83768995f6c741aa07c4b75f70fd5c2cc122e5acd3a8144

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

source=pdf_text observed=2026-06-28T03:07:52.730713Z digest=sha256:84cbc48ef4093268b41cbabe40ec232128930b4dc676d7e00403961a366460d9

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

source=pdf_text observed=2026-06-27T17:18:22.389146Z digest=sha256:1952e95cd42670d939ec7b890680113c6369f3a3fa11d3fff9735ed17f16d262

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

source=pdf_text observed=2026-06-27T00:57:58.312567Z digest=sha256:4122f9376176da0bd95daeddf190790419baef7201e23e20c6944bdfda2349bd

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

source=pdf_text observed=2026-06-26T20:43:55.740662Z digest=sha256:01e43505c6c22d2cef13bfff73e6e8728ebc308c6c8b59532db4017457864106

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

source=pdf_text observed=2026-07-02T13:46:59.407102Z digest=sha256:fe63fdb9e08aaad373b477d64ce19cfb6da4778bfceb4fe7b059f238f5580a8b

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=sha256:2ccd81c3cc751e467a634ca7224d722da4e4a75997a716e3b0e37e8a641092e5

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=sha256:5af3bd647953286f47eaa8f64299382735cc8591ce3bef633860eba2c8dc9488

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=sha256:086c5b5e8914d1c2d79fc56c33461a2294647c933595a38701ecccc69554a864

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:e947ba321761accb496f0c57cd974634eb87f7b3bd04420630e872a51b610658

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:c67b8ec60248869478085ab9d75eb0412be09ea6c9f298e68c3d66c650d8c846

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=sha256:0e0261349ff0970771638a2d96090a2da18cfe6528b2af1e10d64918a871c074

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=sha256:4e984af308380cb820ddbaa20f396982de35c2a661ae19cb580d6c8762c35763