Paper Citation Record · LEDGER

How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.08391.

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

pith.paper-citation-record.v1
2310.08391 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:35:15.912984Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:15.177211Z

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 c9a62a2d-6c0f-434b-8130-f83f8b3de419 · inbound

Re-examining learning linear functions in context cites this paper.

Re-examining learning linear functions in context How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T18:35:15.912984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bf36893-c309-417d-ac81-6737e9aae291 · inbound

Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression cites this paper.

Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T22:10:17.595718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06043dc4-a89e-426e-8faa-0cb7db1dc9cc · 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? How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-04T13:29:32.200640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1937d35b-83f3-4867-8d97-f69b89269dbe · inbound

Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling cites this paper.

Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T09:38:49.691582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0bc49c-02e3-466e-9fe4-e7172053082b · inbound

Adaptivity Under Realizability Constraints: Comparing In-Context and Agentic Learning cites this paper.

Adaptivity Under Realizability Constraints: Comparing In-Context and Agentic Learning How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:09.325403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 203bbe22-d36c-4a4e-aef8-eea3782abf64 · inbound

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

In-Context Reward Adaptation for Robust Preference Modeling How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.179011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.