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Paper Citation Record · LEDGER

In-Context Convergence of Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.05249.

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

pith.paper-citation-record.v1
2310.05249 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

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

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:13:25.095912Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:15.195100Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa12f09b-2172-4533-8849-ef380f68c8a6 · inbound

Transformers versus the EM Algorithm in Multi-class Clustering cites this paper.

Transformers versus the EM Algorithm in Multi-class Clustering In-Context Convergence of Transformers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T17:13:25.095912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:13:25.095912Z digest=sha256:6c18010958c0ccdb79271e5e0518991d51126ac968d24121c34349ab600fe47f

Observation 56df5c5a-39b4-4178-b882-02195e1018e8 · inbound

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions cites this paper.

Minimalist Softmax Attention Provably Learns Constrained Boolean Functions In-Context Convergence of Transformers

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:00.978836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:21:00.978836Z digest=sha256:093e933486264316f6356cf22747f436de2f8e47fff5b77b5f5137a520396e86

Observation 7a1ba3e9-0933-4e24-b9c2-4b1e1948cc63 · inbound

Learning Compositional Functions with Transformers from Easy-to-Hard Data cites this paper.

Learning Compositional Functions with Transformers from Easy-to-Hard Data In-Context Convergence of Transformers

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:35.756325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:46:35.756325Z digest=sha256:204bcf82b6a75f0113bf65f669400cf205ed2b7ff8b2d9e6cedf03dd40b8bb8a

Observation b0af5446-026e-47f2-8d34-93a54cd36b13 · inbound

Provable Low-Frequency Bias of In-Context Learning of Representations cites this paper.

Provable Low-Frequency Bias of In-Context Learning of Representations In-Context Convergence of Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:37:02.984306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:37:02.984306Z digest=sha256:d2f81db85dd13d07b12715819000d8e80b6d9a77519a980f7175a737cfe8e6bf

Observation c79b9456-d1d4-4a60-80d9-326a67f33907 · inbound

Provable Knowledge Acquisition and Extraction in One-Layer Transformers cites this paper.

Provable Knowledge Acquisition and Extraction in One-Layer Transformers In-Context Convergence of Transformers

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:10:44.840921Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-21T23:05:56.687644Z digest=sha256:55ea049a0d29fd06f4c19d9469098a6aeb61da51208f8af4a36df67a21bc07ee

Observation e8f8ed13-86cc-4da2-a847-f6c33fadc633 · inbound

Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently cites this paper.

Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently In-Context Convergence of Transformers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T20:57:10.892670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T20:57:10.892670Z digest=sha256:d63ca94f3e6fddbefdc2e134f8dd3611b752861dabd9706ebf760a8688f72564

Observation a5e3cc5d-f6b7-4ab6-bee8-b0226dd0272d · inbound

On the Emergence of Implicit Curriculum in RLVR Learning Dynamics cites this paper.

On the Emergence of Implicit Curriculum in RLVR Learning Dynamics In-Context Convergence of Transformers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T23:11:53.755631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T23:11:53.755631Z digest=sha256:6972c1f70d94c7fe103e358810abaaf93d47fb53557f12c79c9c71b753270407

Observation 5b64748e-bcdc-4139-ad40-bfd92f1d46ac · inbound

Visual prompting reimagined: The power of the Activation Prompts cites this paper.

Visual prompting reimagined: The power of the Activation Prompts In-Context Convergence of Transformers

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:53.716450Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-10T18:52:10.770345Z digest=sha256:1b98cc7220bb0a90e8c6d2be9c7fe9ec6c0c66434c677ef00e948ba6675c313e

Observation 5276d4e6-4380-427d-8037-a1fbe3e10b93 · inbound

Learning to Adapt: In-Context Learning Beyond Stationarity cites this paper.

Learning to Adapt: In-Context Learning Beyond Stationarity In-Context Convergence of Transformers

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:45:59.365058Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-10T16:30:36.771589Z digest=sha256:6caa2d9513f339c89e43fcf2e9a279b0170f5f94c3fef06491096e0aea4c689a

Observation 66504344-a0c7-4ddb-ad28-f988b7162e35 · inbound

Understanding and Improving Continuous Adversarial Training for LLMs via In-context Learning Theory cites this paper.

Understanding and Improving Continuous Adversarial Training for LLMs via In-context Learning Theory In-Context Convergence of Transformers

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:36:10.407208Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T15:54:59.122635Z digest=sha256:f906a32f350725bc0209b98824d485983a738a11d41415f0081b6e8100545395

Observation 4860c376-9116-4567-b88d-4f50b8de023d · inbound

Radiomics-Guided Vision Transformers for Survival Analysis cites this paper.

Radiomics-Guided Vision Transformers for Survival Analysis In-Context Convergence of Transformers

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:49:16.199333Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-09T22:13:09.414881Z digest=sha256:f58a380352165892ba276ba3b94e291be15629c386f782c093d81b94f72dd2a1

Observation c0ccc237-16b5-40b4-9716-816cd500e278 · inbound

In-Context Reward Adaptation for Robust Preference Modeling cites this paper.

In-Context Reward Adaptation for Robust Preference Modeling In-Context Convergence of Transformers

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:15.196633Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T08:19:55.177440Z digest=sha256:d73ca7aa2fb8ca45c9bd147500a989bedf8c7e07bb7b18e2d31727b039aa6ab3

Observation f239143b-49c9-4c9c-88a2-c40ce8961772 · inbound

Reassessing Muon for Matrix Factorization cites this paper.

Reassessing Muon for Matrix Factorization In-Context Convergence of Transformers

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-02T05:49:31.338698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:49:31.338698Z digest=sha256:97da36ac5af636994d0838c73d52e9d72fa460899956ebcdeeb1054550cd35a2

Observation a92da5a2-e466-4818-ba04-85eb92ffbe5d · inbound

Reassessing Muon for Matrix Factorization cites this paper.

Reassessing Muon for Matrix Factorization In-Context Convergence of Transformers

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-04T04:23:05.536649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T04:23:05.536649Z digest=sha256:c5f22b7801c560d2d62200c0a8d9ee32d89a0d59b45cdd6fad1d48dae36e42d8