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Paper Citation Record · LEDGER

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.15063.

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

pith.paper-citation-record.v1
2306.15063 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:58:18.292106Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:36:09.448730Z

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 d30c2c46-d72c-4084-ac9d-b27a64b68b46 · 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 Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T10:58:18.292106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:58:18.292106Z digest=sha256:f835f0f153c99295c4b7491568239af84f5d82f23c5533f5d4469df01ca9bd12

Observation e102adaa-4e9b-4eef-9476-d01d69925c11 · inbound

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation cites this paper.

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T17:09:15.379020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:09:15.379020Z digest=sha256:b3a190299d31ac9c913ab2e0fcaa1de465436542b4e50b2ecab056625f67d309

Observation d54542d1-ddb7-4b7a-9e9b-06dde46c850c · inbound

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

When Context Sticks: Studying Interference in In-Context Learning Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:36:09.453225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T08:31:14.231710Z digest=sha256:8e2a5ca17340042452d8f27b3f5cb786636fdffb734864ca6161ef50e592b8f8