Paper Citation Record · LEDGER

Can In-context Learning Really Generalize to Out-of-distribution Tasks?

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.09695.

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

pith.paper-citation-record.v1
2410.09695 v3

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 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:27:30.485255Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.094306Z

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 665a47ba-5259-4c1b-ac05-e93b44a2fe83 · inbound

A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes cites this paper.

A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T12:27:30.485255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5346b35-224c-428d-bca0-fbc0dd17e265 · inbound

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds cites this paper.

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:41.632679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a9e324d-693e-4a16-b338-011ea706baea · inbound

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens cites this paper.

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T01:21:58.039341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e740b62d-97b7-46b4-af5a-0c785c2c3be9 · inbound

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning cites this paper.

InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:56.310784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c1f1f29-163e-4083-b42f-2989f12a068d · inbound

The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms cites this paper.

The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:08.096417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f463e849-8f7c-487a-b9c6-be49e606206e · inbound

The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms cites this paper.

The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:50.581497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.