Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:29:29.254999Z

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

verified exact0
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 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.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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.