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Paper Citation Record · LEDGER

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2306.04637.

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

pith.paper-citation-record.v1
2306.04637 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:28:00.353445Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:57:29.158325Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 b4ebdc85-f614-4c97-b713-edd69cb4bf8a · inbound

In-Context Deep Learning via Transformer Models cites this paper.

In-Context Deep Learning via Transformer Models Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T13:07:59.444014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:07:59.444014Z digest=sha256:7d8bf66a573d08ebd609ef2cdd5066b4ebf9de73e23a79100e881311c00e238c

Observation 1767a5a2-d2ac-44e7-ad88-1137434f786f · inbound

Differential learning kinetics govern the transition from memorization to generalization during in-context learning cites this paper.

Differential learning kinetics govern the transition from memorization to generalization during in-context learning Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T10:58:18.258814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:58:18.258814Z digest=sha256:07a0744e61a836654fe3ac339bd67738b994d2d9736ec6c09aad56f3b1d1c779

Observation 3eda86c8-e73a-40c8-a926-0d60b76c3fb8 · inbound

Learning Spectral Methods by Transformers cites this paper.

Learning Spectral Methods by Transformers Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:36:51.170666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:51.170666Z digest=sha256:d8a944e2d3a89c1a1d355f3df56b569cc2c7110f3d99fa23e5e551e223e2c0cf

Observation 20c96a51-2827-41a9-a121-d9cc56ccd69d · inbound

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

Task Vectors in In-Context Learning: Emergence, Formation, and Benefit Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 2024

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unresolved
no resolver link, observed 2026-08-10T20:15:28.229076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:15:28.229076Z digest=sha256:bb9a2754433bff8028ebc4c385211b5ee34db7ef35c9749c2a30b619110b7e71

Observation ff0ad8af-438e-4cb1-a746-c69641bdf4b0 · inbound

Rethinking Invariance in In-context Learning cites this paper.

Rethinking Invariance in In-context Learning Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T23:28:00.353445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:28:00.353445Z digest=sha256:01307d9ff16b39d9544f537ddc384a1dc5b5ad072eae5eca4c1f05227379688c

Observation db6b70ca-1927-4cee-9d81-fdcee9e4906c · inbound

Sample Complexity and Representation Ability of Test-time Scaling Paradigms cites this paper.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:35:31.737627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:35:31.737627Z digest=sha256:ff8891be9bf7ae56bbc0db81d455a9536244d2d1635b51643fced2d69f450b3e

Observation 19cb48ad-7a14-4985-9c38-fe287c81f458 · inbound

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games cites this paper.

The Effect of State Representation on LLM Agent Behavior in Dynamic Routing Games Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:00:10.698107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:00:10.698107Z digest=sha256:7b990e5978147d942ec9b001d8b1a2648cac7abb8ef29032a77a70662f347e13

Observation 3a144433-2201-4d00-928d-ab494b9b220a · inbound

How Can Mamba Learn In Context with Outliers and Generalize Provably? cites this paper.

How Can Mamba Learn In Context with Outliers and Generalize Provably? Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T13:29:29.254999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:29:29.254999Z digest=sha256:bd4b147b87139f0725a6f4006cd4e852b477ef33b99e10f55566a3deea17d6cd

Observation 186d755d-cb53-4521-b67b-b542a9864a0a · inbound

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

Visual prompting reimagined: The power of the Activation Prompts Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:53.703820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T18:52:10.770345Z digest=sha256:6716c524b4e5d17e1919991fb1074a7bcaa335930989192e715538b16ca56c73

Observation 7fec83db-6b84-4354-9948-19d6c4c53a47 · inbound

When Context Sticks: Studying Interference in In-Context Learning cites this paper.

When Context Sticks: Studying Interference in In-Context Learning Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:36:09.426490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T08:31:14.231710Z digest=sha256:04f343c47259c44977b73820046faf1351c55b7a42f10c2179cfc855a09f2e1c

Observation 03003754-2c5c-4e12-b247-95ac019cbc24 · inbound

Spectral Transformer Neural Processes cites this paper.

Spectral Transformer Neural Processes Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:34.519162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T04:04:14.880310Z digest=sha256:66dbd1ebd3c53bbb6708ee97ae34e7aac31c7c59cdab9765ce9e4b1769bd7512

Observation e8d0bcba-9c29-4ed1-8d4a-b16441589d2b · inbound

Tight Sample Complexity of Transformers cites this paper.

Tight Sample Complexity of Transformers Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:29.159689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T17:33:48.373948Z digest=sha256:4190bb8bd1616df9d610f20ff75a4fa59f988fb06bb46656597c57376a608278

Observation 29c16187-40b2-416e-bdaa-0b7bcdd1288d · inbound

Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation cites this paper.

Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.293774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-01T06:44:18.631601Z digest=sha256:04ee9533ece1f7d11cbf462fcbe633f1d909e2bf901657c55ec19ef30a68cd33

Observation 80533f9c-b332-4a17-ac86-896c63ddd866 · inbound

In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention cites this paper.

In-context learning of closed form solution to simple linear regression task using transformer with linear self-attention Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T22:19:53.480915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:19:53.480915Z digest=sha256:859241de546e852793397dc2e4305bf3ed3f0a10d73373b98c7ef8ba1168b690

Observation 179f56a2-0934-43a0-b6ba-5795bb5577b5 · inbound

Vision-Language Grounding as Bidirectional Concept Correspondence cites this paper.

Vision-Language Grounding as Bidirectional Concept Correspondence Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T00:50:38.824993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:50:38.824993Z digest=sha256:7d8910c4e72a9c406d3eca42da80a954766c66459b3594ece5ab8de169122bc6