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Paper Citation Record · LEDGER

Uncovering mesa-optimization algorithms in Transformers

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2309.05858.

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

pith.paper-citation-record.v1
2309.05858 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:30.571794Z

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

5
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 9210d8e8-b104-4e33-9716-b18b348d126a · inbound

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models cites this paper.

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models Uncovering mesa-optimization algorithms in Transformers

Reference 143

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arxiv_id, observed 2026-05-17T14:43:30.172724Z

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.

source=arxiv_source observed=2026-05-17T14:43:29.496457Z digest=sha256:a73c828aef75d5612bc7965365512cadefd4a3df4f46be7bfb039732d18ad155

Observation 7968d552-b9cb-4bf2-bb96-45e1e6e77504 · inbound

ICLR: In-Context Learning of Representations cites this paper.

ICLR: In-Context Learning of Representations Uncovering mesa-optimization algorithms in Transformers

Reference 70

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no resolver link, observed 2026-08-10T23:24:01.667776Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:24:01.667776Z digest=sha256:721ae021fb92c34970db2e83f27bb5f3357cee53e718defd6239a8354f9a4684

Observation 59fecf7f-02a7-4741-806d-58087e8e0ca2 · inbound

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit cites this paper.

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit Uncovering mesa-optimization algorithms in Transformers

Reference 43

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no resolver link, observed 2026-08-10T20:15:28.421835Z

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source=pdf_text observed=2026-08-10T20:15:28.421835Z digest=sha256:7601ff05281a5523c493ab599f1a06803548583469ede982c634632e8bc1d567

Observation 322ea548-315f-4b05-a5d7-8a836bd58a5c · inbound

Test-time regression: a unifying framework for designing sequence models with associative memory cites this paper.

Test-time regression: a unifying framework for designing sequence models with associative memory Uncovering mesa-optimization algorithms in Transformers

Reference 86

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no resolver link, observed 2026-08-10T17:22:07.351612Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T17:22:07.351612Z digest=sha256:2a26e554effe5961085a26384f5fbb01dddc3652d7482d8c12b8f8837cc1ea20

Observation 2b764ef6-7bca-41a6-a900-94a3a1d557b1 · inbound

A Unified Perspective on the Dynamics of Deep Transformers cites this paper.

A Unified Perspective on the Dynamics of Deep Transformers Uncovering mesa-optimization algorithms in Transformers

Reference 56

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no resolver link, observed 2026-08-10T00:04:10.958600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:04:10.958600Z digest=sha256:bb917594746cd912e2203e06490d5cc95241587d900689ef14dbb4599c7838d8

Observation 54526c98-70c2-4a61-bd6d-01c2449b7f44 · inbound

Amortized In-Context Bayesian Posterior Estimation cites this paper.

Amortized In-Context Bayesian Posterior Estimation Uncovering mesa-optimization algorithms in Transformers

Reference 67

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no resolver link, observed 2026-08-08T15:01:42.885301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:01:42.885301Z digest=sha256:4459d7ede7f5166f3ab4a7aaab0b913d16cb45f633a1bd44fa53db4bbea98514

Observation 548419f5-9067-4518-a1e7-4be0d1a05ff6 · inbound

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization cites this paper.

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization Uncovering mesa-optimization algorithms in Transformers

Reference 91

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source=pdf_text observed=2026-08-16T12:19:30.571794Z digest=sha256:4d02d42ed67356886169cd4091ebc31fa07dd6ca4efea1c5da2649728f9f3d95

Observation a8323610-fdca-4c13-b549-20c9651538da · inbound

Rethinking Invariance in In-context Learning cites this paper.

Rethinking Invariance in In-context Learning Uncovering mesa-optimization algorithms in Transformers

Reference 33

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no resolver link, observed 2026-08-15T23:28:00.462114Z

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source=arxiv_source observed=2026-08-15T23:28:00.462114Z digest=sha256:5ebc0df10d80fcdc08a4810eaa27561dee9df427a3a1b7e58ec0adff219ca3c1

Observation 1bbfec1d-a87b-449d-bc64-7810b77d1f86 · inbound

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence cites this paper.

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Uncovering mesa-optimization algorithms in Transformers

Reference 39

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source=arxiv_source observed=2026-08-07T15:00:58.100805Z digest=sha256:a7cf1464653720e1970226390269248d712c940f5329e0abbee4873702a0f585

Observation 998052c0-e19d-47ee-994a-aeab003d2d99 · inbound

The Role of Diversity in In-Context Learning for Large Language Models cites this paper.

The Role of Diversity in In-Context Learning for Large Language Models Uncovering mesa-optimization algorithms in Transformers

Reference 55

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no resolver link, observed 2026-08-07T14:21:38.439808Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:38.439808Z digest=sha256:0cd350b66188b91a6d7c7eb43b14baa2b4e6c0279334ecb2200c27a9f9b528f0

Observation ee67979d-b995-4e61-9598-ffee220492d9 · inbound

ATLAS: Learning to Optimally Memorize the Context at Test Time cites this paper.

ATLAS: Learning to Optimally Memorize the Context at Test Time Uncovering mesa-optimization algorithms in Transformers

Reference 82

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no resolver link, observed 2026-08-07T12:44:21.592813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:21.592813Z digest=sha256:ac6f6c8754c6b36ef4f54d9872bfc182bbd245ae4832587c6046ae532a43f51c

Observation 6fdb14e6-8e63-428b-9224-93dcb347cd95 · inbound

Transformers Meet In-Context Learning: A Universal Approximation Theory cites this paper.

Transformers Meet In-Context Learning: A Universal Approximation Theory Uncovering mesa-optimization algorithms in Transformers

Reference 63

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no resolver link, observed 2026-08-07T10:33:42.468990Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:33:42.468990Z digest=sha256:b3c478b6a411782fd17a52c9a44ee2843f1e6ae8fb0a5a3f71241d28b24fbacc

Observation 2d90cb9a-ff6a-4f3a-b45a-132f60b1c6b7 · inbound

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training cites this paper.

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training Uncovering mesa-optimization algorithms in Transformers

Reference 113

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no resolver link, observed 2026-08-07T10:30:13.976683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:30:13.976683Z digest=sha256:e45eb07bbb251f496289971211eeae7865c86bdf952265470ec05727871f128b

Observation ff999589-2f12-448d-be26-ea9e35402d55 · inbound

Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning cites this paper.

Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning Uncovering mesa-optimization algorithms in Transformers

Reference 45

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:11:13.097520Z digest=sha256:87581c4eac7f7d9facb08306505412012fe888998bf81aac3da75a159a146b9a

Observation 8019fbb2-e19b-4c7a-903c-83027a45460e · inbound

Position: We Need An Algorithmic Understanding of Generative AI cites this paper.

Position: We Need An Algorithmic Understanding of Generative AI Uncovering mesa-optimization algorithms in Transformers

Reference 20

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no resolver link, observed 2026-08-06T18:41:33.871059Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:41:33.871059Z digest=sha256:ca1dacf4e2b06d8ada806db9023e54000f41f790db7bfe0abc3c6391c74b1a1c

Observation dd6a7791-dec0-4451-a94b-9de310699d76 · inbound

Selective Induction Heads: How Transformers Select Causal Structures In Context cites this paper.

Selective Induction Heads: How Transformers Select Causal Structures In Context Uncovering mesa-optimization algorithms in Transformers

Reference 27

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no resolver link, observed 2026-08-04T21:11:45.295838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:11:45.295838Z digest=sha256:dad0a1a312c66ca300d04acfd0be0ccc2c483ed598d05ffbbd663d6afaf7aa9d

Observation ee68abba-7ec3-481d-a96d-8928d03f439a · inbound

Learning to Remember, Learn, and Forget in Attention-Based Models cites this paper.

Learning to Remember, Learn, and Forget in Attention-Based Models Uncovering mesa-optimization algorithms in Transformers

Reference 21

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no resolver link, observed 2026-08-03T03:16:07.695368Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:16:07.695368Z digest=sha256:27ef1f47f30d522af5f134c6d8283516f1d5aa27c5e4df4b502833bc27e8fa09

Observation 197bb3a4-9682-4dd5-bc3c-dd00706898e0 · 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 Uncovering mesa-optimization algorithms in Transformers

Reference 36

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source=pdf_text observed=2026-07-15T12:09:16.468055Z digest=sha256:1b12f9dd16781377e2fe94415eb53721ce89269ecb701db865da8c423e7bcb6f

Observation df420f82-5bac-4bfe-85f2-65e78f58701d · inbound

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences cites this paper.

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences Uncovering mesa-optimization algorithms in Transformers

Reference 54

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metadata mismatch
arxiv_id, observed 2026-05-10T00:19:46.569906Z

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.

source=arxiv_source observed=2026-05-10T00:19:24.366922Z digest=sha256:874063344f2a43d73c77f4dd72f8b17930e319be4fc5539411b093473068e759

Observation 03a68202-8f3a-4669-b546-f82f5756354e · inbound

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention cites this paper.

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention Uncovering mesa-optimization algorithms in Transformers

Reference 111

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arxiv_id, observed 2026-05-11T16:41:11.996270Z

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.

source=arxiv_source observed=2026-05-09T15:27:55.566795Z digest=sha256:863723928e9043ea1598d41d6427cbc87faadc4271bfaf4cf64c9927e0fe492e

Observation 287d35b9-1503-4598-ac53-1920ee193c37 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Uncovering mesa-optimization algorithms in Transformers

Reference 110

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arxiv_id, observed 2026-05-14T20:17:54.026408Z

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.

source=arxiv_source observed=2026-05-14T20:17:01.224864Z digest=sha256:cea2f3722889d99fb3ba85a87b632c0c4b43d161f1e1ad29cc65928cd8cec2f0

Observation a94d68b2-39ea-47a2-b82f-ffad56a48db6 · inbound

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention cites this paper.

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention Uncovering mesa-optimization algorithms in Transformers

Reference 59

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arxiv_id, observed 2026-05-14T19:09:23.215404Z

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.

source=pdf_text observed=2026-05-14T19:08:18.768344Z digest=sha256:9d7662fd3716d9bd7185134347c3a066944c9737d73b3b2c14dedd70e5507310

Observation 171ea9ba-02c9-4f2f-931a-2a8aba847e8f · inbound

Dynamic Short Convolutions Improve Transformers cites this paper.

Dynamic Short Convolutions Improve Transformers Uncovering mesa-optimization algorithms in Transformers

Reference 170

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arxiv_id, observed 2026-07-02T02:36:26.970273Z

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

source=arxiv_source observed=2026-06-28T10:48:50.103004Z digest=sha256:a72c408090b179582a5755150dcce071d6bc0427aa84dd7f63ecbad5d4bdfb2b

Observation a4675f7f-d2d6-4824-ba9d-83c82dcba78b · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Uncovering mesa-optimization algorithms in Transformers

Reference 79

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arxiv_id, observed 2026-06-29T16:23:38.998915Z

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

source=arxiv_source observed=2026-06-29T16:23:08.402194Z digest=sha256:1277e2ebdcce95d82af55923b8e61ec7fb9f902051c06e72f70f2e208934d584

Observation 37c49333-b27e-4e33-9633-e93a09d270ae · inbound

Blurry Window Attention cites this paper.

Blurry Window Attention Uncovering mesa-optimization algorithms in Transformers

Reference 33

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arxiv_id, observed 2026-07-01T20:46:13.996400Z

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

source=pdf_text observed=2026-06-28T17:43:34.429061Z digest=sha256:d9ba57e5a1519c19da69f415e98d95044b94c52b09e82e6eaaac1d24c0da9b92

Observation 5da9a9d6-6222-42e3-93d6-db9447c0916a · inbound

Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence cites this paper.

Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence Uncovering mesa-optimization algorithms in Transformers

Reference 19

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arxiv_id, observed 2026-07-03T13:18:13.105960Z

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

source=pdf_text observed=2026-06-27T08:13:40.546738Z digest=sha256:a42ab963fb97bd60b0a0b0eb61efb22e59293d4a4b774c72e44f48997535a60f

Observation 105d4032-d5cf-4cb6-9aad-7d3dac356f7a · inbound

Understanding Large Language Models cites this paper.

Understanding Large Language Models Uncovering mesa-optimization algorithms in Transformers

Reference 13

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arxiv_id, observed 2026-07-02T12:56:56.433366Z

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

source=pdf_text observed=2026-07-02T12:53:00.254754Z digest=sha256:7c1f1863c6ba5f599a964e5d7910bab16dc1ccf8674117bd8c2d39831d6cdc1a

Observation 18d52398-c2af-4d83-a126-10ba7f2d07c4 · inbound

Induction Heads Interpolate N-Grams cites this paper.

Induction Heads Interpolate N-Grams Uncovering mesa-optimization algorithms in Transformers

Reference 15

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no resolver link, observed 2026-07-12T06:58:39.213932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:58:39.213932Z digest=sha256:a618a0c788b14ba565c873d649b9fcecd0f643c5128818518e1f327b018911c3

Observation 11b9ee44-bb4f-4e4b-a8a4-ba0b103da30e · inbound

The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory cites this paper.

The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory Uncovering mesa-optimization algorithms in Transformers

Reference 24

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source=pdf_text observed=2026-08-02T09:06:10.979909Z digest=sha256:59e568f9bd92ca261342ef8c9b255155bcb8eda9093983b06d51c60cc13012a1

Observation 536edb80-fd75-4937-b225-6627b360b02f · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Uncovering mesa-optimization algorithms in Transformers

Reference 192

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no resolver link, observed 2026-07-31T23:52:06.172263Z

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source=arxiv_source observed=2026-07-31T23:52:06.172263Z digest=sha256:97e1a2b11ac3beae885710ae7391b71ca8af65262eb6311cdf27930425ce4735

Observation 9cbabda1-561f-4c03-8b92-d818308ce118 · inbound

Grounding latent algorithm routing in transformer reasoning cites this paper.

Grounding latent algorithm routing in transformer reasoning Uncovering mesa-optimization algorithms in Transformers

Reference 34

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no resolver link, observed 2026-07-31T14:04:25.225241Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T14:04:25.225241Z digest=sha256:c0ead7f6a83bd5febd5986dde79871d72dbed97d5616510944cc720158c2a549