Paper Citation Record · LEDGER

Looped Transformers are Better at Learning Learning Algorithms

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2311.12424.

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

pith.paper-citation-record.v1
2311.12424 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:12:36.382037Z

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

0
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 6054bce5-4cd7-4ef5-9257-1e454c7897d0 · inbound

Intra-Layer Recurrence in Transformers for Language Modeling cites this paper.

Intra-Layer Recurrence in Transformers for Language Modeling Looped Transformers are Better at Learning Learning Algorithms

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:12:36.382037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5546ec-9df7-4b56-ab61-5bdf12648fba · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Looped Transformers are Better at Learning Learning Algorithms

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.520785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7baf9805-b726-47c2-987a-4119f5be4ac3 · inbound

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

Fast and Simplex: 2-Simplicial Attention in Triton Looped Transformers are Better at Learning Learning Algorithms

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:31:47.992493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d55f31ec-99ae-4bfe-8207-672fe36795e3 · inbound

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs cites this paper.

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Looped Transformers are Better at Learning Learning Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:20.499325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b74d5d-665c-43f4-9b29-319a00aed38e · inbound

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling cites this paper.

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling Looped Transformers are Better at Learning Learning Algorithms

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:51:50.783909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3344619-5ac2-4f1c-902f-6e11c86e0e45 · inbound

Dr.LLM: Dynamic Layer Routing in LLMs cites this paper.

Dr.LLM: Dynamic Layer Routing in LLMs Looped Transformers are Better at Learning Learning Algorithms

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:04:20.322992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db66b97e-dea3-4dbc-9e00-e7702aea514c · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Looped Transformers are Better at Learning Learning Algorithms

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:43:11.911968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d1a238ee-4dfc-455e-8966-3ed5eb746f64 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Looped Transformers are Better at Learning Learning Algorithms

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T07:31:11.348348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05a28e1-9b46-4a09-90ea-5f15886d9229 · inbound

Latent Reasoning in TRMs is Secretly a Policy Improvement Operator cites this paper.

Latent Reasoning in TRMs is Secretly a Policy Improvement Operator Looped Transformers are Better at Learning Learning Algorithms

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T21:06:30.161963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f26761-85b8-4931-b7c4-f7990128c0c8 · 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 Looped Transformers are Better at Learning Learning Algorithms

Reference 40

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a52b37d-f2a8-42a4-90c4-04421df42e89 · inbound

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

ELT: Elastic Looped Transformers for Visual Generation Looped Transformers are Better at Learning Learning Algorithms

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:06:00.069258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c381031a-4e2b-4f29-9acd-b300de2f44c9 · inbound

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

ELT: Elastic Looped Transformers for Visual Generation Looped Transformers are Better at Learning Learning Algorithms

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T16:35:03.415864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 32

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 43603986-8bb0-43de-92a8-5773eda409a9 · inbound

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

Parcae: Scaling Laws For Stable Looped Language Models Looped Transformers are Better at Learning Learning Algorithms

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:01.161581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6054488-d2eb-4ff5-a763-8ef5437f399a · inbound

Stability and Generalization in Looped Transformers cites this paper.

Stability and Generalization in Looped Transformers Looped Transformers are Better at Learning Learning Algorithms

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:25:22.705878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73035e9e-ba65-4284-ba4c-c9b39f1056e4 · 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 Looped Transformers are Better at Learning Learning Algorithms

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:05:09.039941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 569ef911-975d-46cf-85e5-a1d0c5f74f1f · inbound

Hyperloop Transformers cites this paper.

Hyperloop Transformers Looped Transformers are Better at Learning Learning Algorithms

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:04.406242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe12ed9a-f66f-4efa-9fa8-c276beb8bebe · inbound

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization cites this paper.

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization Looped Transformers are Better at Learning Learning Algorithms

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:59.117926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8ddfa5d-10cd-4553-b6d3-1c76b514440d · 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 Looped Transformers are Better at Learning Learning Algorithms

Reference 12

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T02:45:57.716481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c218afb-52a6-4e0b-986e-27ab182ee108 · 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 Looped Transformers are Better at Learning Learning Algorithms

Reference 12

Resolution: malformed identifier; arxiv_id, observed 2026-05-20T23:03:50.651160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3551defe-cbb4-421c-814c-4e3073f3fa90 · inbound

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

Simply Stabilizing the Loop via Fully Looped Transformer Looped Transformers are Better at Learning Learning Algorithms

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:23:51.684336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3b1fd5bd-2445-47b0-839f-b2140b0b7226 · inbound

Generative Recursive Reasoning cites this paper.

Generative Recursive Reasoning Looped Transformers are Better at Learning Learning Algorithms

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:03:05.463229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a8dd166-6c65-4af3-9702-5e4eae77798f · inbound

Generative Recursive Reasoning cites this paper.

Generative Recursive Reasoning Looped Transformers are Better at Learning Learning Algorithms

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:03.156867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6e68ede-ad75-41ad-b49f-088426e09b66 · inbound

Looped Diffusion Language Models cites this paper.

Looped Diffusion Language Models Looped Transformers are Better at Learning Learning Algorithms

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.184995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9957a063-9204-423c-9b06-2d22fc0f5c8e · inbound

Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models cites this paper.

Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models Looped Transformers are Better at Learning Learning Algorithms

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:55:50.838803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd9c3b51-829e-4261-ab83-584983581290 · inbound

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs cites this paper.

Skip a Layer or Loop It? Learning Program-of-Layers in LLMs Looped Transformers are Better at Learning Learning Algorithms

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:36:57.360001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1084b777-ea73-4ac9-9046-56a4404a6605 · 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 Looped Transformers are Better at Learning Learning Algorithms

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:55.246863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 43d26cc0-a137-4cff-9282-77c60f3b052c · inbound

Recursive Scaling in Masked Diffusion Models cites this paper.

Recursive Scaling in Masked Diffusion Models Looped Transformers are Better at Learning Learning Algorithms

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:58:54.919466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eee62f3c-a5a5-4ef0-92c9-68408c9250b9 · inbound

Looped World Models cites this paper.

Looped World Models Looped Transformers are Better at Learning Learning Algorithms

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:28:52.391390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b15ff817-c0ff-4df8-8d55-fe8c76a7a16c · inbound

Looped World Models cites this paper.

Looped World Models Looped Transformers are Better at Learning Learning Algorithms

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T01:50:21.199353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a756ddc-2c12-40c6-abf3-478c746104a7 · inbound

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping cites this paper.

Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping Looped Transformers are Better at Learning Learning Algorithms

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:34:20.928414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee72711e-bd43-474d-b726-73b7fc11920f · 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 Looped Transformers are Better at Learning Learning Algorithms

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:30.565694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41107749-7689-400b-b356-323262ca2c0b · inbound

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

When Does Recurrence Become an Algorithm? Convergence Selection in Weight-Tied Looped Transformers Looped Transformers are Better at Learning Learning Algorithms

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T10:14:11.657461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.