Pith. sign in

Paper Citation Record · LEDGER

Reasoning with Latent Thoughts: On the Power of Looped Transformers

As of 10 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 2026-08-10T06:31:04.303077+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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:62cfe522289682d9288224578366108849167e1ed0519c41c9f3604e481c60f2

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:afc2942845ec50abfb7e229f96466ed921d3c6d02931822f52bfb8123b88af9a

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:22.838412Z

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:59:18.365892Z digest=sha256:edde584c46fec54bc8c3e9b12c15674c5e04a024fe7f7cfd1053484e81485837

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

Resolution
unresolved
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

Resolution
unresolved
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=sha256:197ebd5e07570c8e076dc12700de508f034aab87dde75463c123181fa72201c4

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

Resolution
unresolved
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=sha256:316ff9989de77aded322468127326cf277dfee6e438451f087542f404470943c

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

Resolution
unresolved
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

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

Source-reported events for the cited work

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

Resolution
unresolved
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

Resolution
unresolved
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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:add9987704d31cc12a03b4913d6a7c7a95af1709a1dd4b0e45985c94c4d3d275

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T07:43:11.620446Z digest=sha256:4273cf0ef581f7b26041476ca53f96be716f0a57b5441a3a9903ec1607ceaa46

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

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

Source-reported events for the cited work

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

Resolution
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

Resolution
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

Resolution
unresolved
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

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

Source-reported events for the cited work

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:19:22.543462Z digest=sha256:1647711189ece99b640992c02a15ff800624ccb816dc8a3f6acaddc257e28f08

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

Resolution
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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:53:19.680424Z digest=sha256:53b38d3a025fedbc168bb3cbfc8b7461abcc99123ebb56ec7c935239e8c56d44

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:34:02.796850Z digest=sha256:7743dd719789a9d15c0c84014898227af6df886bb3d9f2839f2b27cf1c706ba0

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:33:04.442462Z digest=sha256:2ae4fa10a6e7b554404839664228aaf3e53c798c48e8cfd332744e684f2fb54d

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T13:02:52.920735Z digest=sha256:321c27978be60fc43d63ac91ef64f6b67f82554668508a80efdf9c83e5e68ee4

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T08:49:05.178087Z digest=sha256:8eae3e8d2586de1fd413235c359a305515317fa08f1cb4d5849bc58da9ee5221

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

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:05:09.063513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T04:56:35.796962Z digest=sha256:dda2a043485a01ad1f92093ca33e21c6cffb7e1cbede53f0af7625c5d34d18ba

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:cc18dfbf9de1870f488e7178acfef46ff767b5bdb2cb52bfecbb05cc063a4a97

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T23:09:35.640412Z digest=sha256:5cf41e33525daafba82c7971ea8e9e31f5ce0dd0357905afd0cdbd47748d7d3d

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T22:48:07.828512Z digest=sha256:1b8fe811b0f8c17ad46550dde901e9715be214f1d03f884cc079042a07b90bf7

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

Resolution
verified exact
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:07b9c3c33f4ec562757435d1dfbb209da28fb54470158c0fe3c90c76ca006f50

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T02:44:36.697450Z digest=sha256:74f3d7de0337c46cf424999124b2eb45c25c096a939a8e7ad329f8efd449575b

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T23:01:17.957634Z digest=sha256:d306b343e794fde0d8d07efe739b728af4b7a4cbd538d77acede22cc4a664c8e

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T23:19:28.027625Z digest=sha256:03c45eb175ddbb611f08fdb4157e2ba70c5b2fe0011b7886651a1121c2c7cd08

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T22:05:25.465669Z digest=sha256:3ccab8948ab0500c9988fd58e1f7afec1482533b5e7cba17b305aa74b0f6437e

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T22:10:23.224012Z digest=sha256:170f0125df9152c89db31768ca9e83bdbc07046deee0ec97316e27bc65dc6737

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T06:20:50.767604Z digest=sha256:cf5460969a66927db5cae885ea3a260bed7bb69f1257ed2ec72469d226692d01

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-25T05:58:38.285214Z digest=sha256:741d0a22d589cc4717d8d9e2fa5ddb80d159c65c559f2dd0d71159bded5b7071

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T17:19:17.567336Z digest=sha256:91eda86dbb2ef68e28cfcf303b5326f767617dbc60365637be56dee650000703

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T23:13:12.343355Z digest=sha256:7c1ff073a7a07a941f530f6c754d111da38707711b4cfb4c8e9a629251aa964a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T17:14:53.648013Z digest=sha256:4421f033b8025bd97a84be6b4a608497675f2f1ebcb18e8399294d67c7b40b4f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T03:07:52.730713Z digest=sha256:0de8580e4b6f1422d7bc104b9bf547470a2df0eb56ff0985762001a0420402b4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T17:18:22.389146Z digest=sha256:8f0963bb847db8a99210fd4eb4b8c9529565be2a7d046700371dd12326427545

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T00:57:58.312567Z digest=sha256:ae87bc26495d8b5be8632f214bc0f5ded0e76ce0854703456c83ed6724c9941d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T20:43:55.740662Z digest=sha256:9c4025e789acb12342bd63661db15cb589f941d4b48615ea2762846c340ad9c3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T13:46:59.407102Z digest=sha256:b3cbc9c498db2494f76bd4b97d19bb7cea8508789941708acaf72bc490b2c9e0

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=sha256:6e2211bbdc35a2e00fd81d7bd96d8d6d563e438df46647442713fd002307127b

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=sha256:49eeac83d3dbd04989403fc79d2518ade338fe4c6d4031e1d74e30be0f80aa52

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