Paper Citation Record · LEDGER

A Theory of Emergent In-Context Learning as Implicit Structure Induction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2303.07971.

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

pith.paper-citation-record.v1
2303.07971 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:33:37.994781Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:08:32.703527Z

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 0eda0d60-6099-463b-b4d7-5310049b9cc3 · inbound

A Survey on In-context Learning cites this paper.

A Survey on In-context Learning A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T12:58:27.496176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9f785aa8-d926-4dc7-9d86-a4c56edf096d · inbound

Transformers Meet In-Context Learning: A Universal Approximation Theory cites this paper.

Transformers Meet In-Context Learning: A Universal Approximation Theory A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:33:37.994781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc8900d1-5e2e-406d-b2bc-3f76530dd34d · inbound

Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning cites this paper.

Brewing Knowledge in Context: Distillation Perspectives on In-Context Learning A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:11:10.128035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f53c2e4-135e-4923-a896-8eb5ef557d51 · inbound

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective cites this paper.

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:39.925862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 973da586-3c95-4d3f-9781-16c055268cae · inbound

The Other Mind: How Language Models Exhibit Human Temporal Cognition cites this paper.

The Other Mind: How Language Models Exhibit Human Temporal Cognition A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:30:34.478974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1402e450-cf6c-4923-9b00-b885eb38421a · inbound

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity cites this paper.

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:44:28.031265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce625a10-9112-41ca-ae0f-39f2826895ee · inbound

Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training cites this paper.

Provable Benefit of Curriculum in Transformer Tree-Reasoning Post-Training A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:20:27.628811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b469783a-a3fb-44d5-9ace-e14fe10a4166 · inbound

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models cites this paper.

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:52:28.470871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d1a8f7f-7074-4c7d-bb61-49628376da03 · inbound

Learning to Remember, Learn, and Forget in Attention-Based Models cites this paper.

Learning to Remember, Learn, and Forget in Attention-Based Models A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T03:16:06.188488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2caf94dc-0e81-496d-b759-07855ebde6e0 · inbound

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior cites this paper.

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 295

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:16:06.600704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ddb42b05-66dd-4491-a2ef-449550daff27 · inbound

Agentic Transformers Provably Learn to Search via Reinforcement Learning cites this paper.

Agentic Transformers Provably Learn to Search via Reinforcement Learning A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:42:49.934798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9679b6a3-bcff-44fa-a165-72e6030c1fa7 · inbound

Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning cites this paper.

Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:08:32.705022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 80b86ff8-2416-4836-9c02-ccc325dfc2a1 · inbound

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation cites this paper.

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:08:32.481417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af5432e0-0168-4320-9f37-d2de7b683840 · inbound

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation cites this paper.

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation A Theory of Emergent In-Context Learning as Implicit Structure Induction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T08:42:42.063339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.