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Paper Citation Record · LEDGER

The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2110.04541.

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

pith.paper-citation-record.v1
2110.04541 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:49:38.000946Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e203a2f4-1338-48e8-89a3-6829c384fac5 · inbound

Surprise Calibration for Better In-Context Learning cites this paper.

Surprise Calibration for Better In-Context Learning The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T00:49:38.000946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:49:38.000946Z digest=sha256:f20043369774ca050242a908c0da35c848bd6734334f05b270cd233d3e873fc9

Observation dd27e7ff-e8be-47b2-88de-717ae440d9af · inbound

Token-Level LLM Collaboration via FusionRoute cites this paper.

Token-Level LLM Collaboration via FusionRoute The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:26:31.578714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T12:25:59.747665Z digest=sha256:78bb007efdb670ac7f520feda3be40ba179e43b744ffac99452517e3aa6666ed

Observation 1732af0e-c586-4ced-92e6-bb280c4b41d9 · inbound

The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models cites this paper.

The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:49:26.714157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T20:49:06.931010Z digest=sha256:c2ae81f8e51c6963114bb1baf360414e52556cbef646c29c5fef902ecf5fdead

Observation 6da8893a-f2c5-4ab9-8e6a-d6eaf3e9ed40 · inbound

ClinQueryAgent: A Conversational Agent for Population Health Management cites this paper.

ClinQueryAgent: A Conversational Agent for Population Health Management The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design

Reference 133

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:33:56.447651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T01:31:07.031424Z digest=sha256:971e50db5b9997913efa14176cb77b8a4538ba612a9cec68b8a65b94b817424b