Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2404.07129.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:47:07.742026Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T01:27:45.952692Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation eb54ad68-6d35-497b-adf4-12d5912b13ab · inbound
Task Vectors in In-Context Learning: Emergence, Formation, and Benefit What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 578cedac-9ff3-42d9-8978-b4f9c2846a8c · inbound
Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb5ffa12-f980-4474-b14d-ee50c8e0538a · inbound
Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfdb1959-86f5-4a9e-b95e-4c2f14f28bc5 · inbound
Mechanistic Interpretability of GPT-like Models on Summarization Tasks What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a60ea88-84aa-4e0c-a9dc-f49d81c173ac · inbound
Relational reasoning and inductive bias in transformers and large language models What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8ce48db4-0054-42b8-ace2-9dd85ae16bd8 · inbound
Distinct Computations Emerge From Compositional Curricula in In-Context Learning What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3858bb7e-c93c-418b-9313-39e21e7e98a3 · inbound
In-Context Learning Strategies Emerge Rationally What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 378ca455-c69c-4de8-a2f6-fb87c687111f · inbound
Soft Head Selection for Injecting ICL-Derived Task Embeddings What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7466d26f-5644-4496-aad6-24b6875a03e5 · inbound
Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 83dd8c64-a512-42d1-aec6-10b9c5c6d6ee · inbound
Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 62760610-ed8c-4e69-9414-07a417f764f0 · inbound
Belief or Circuitry? Causal Evidence for In-Context Graph Learning What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7a8d06ce-8e04-4865-a60d-d17f2a61e67d · inbound
Pretraining Curricula Enable Selective Fine-tuning What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 60
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2f99d38-a991-4329-8b16-884da7cfc69b · inbound
Fingerprint, Not Blueprint: How Positional Schemes Set the Default Spectral Algebra of Attention What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d43f212d-0589-46af-8853-0a3dde432882 · inbound
Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 754e5f61-90a1-4e01-9a12-dd61ba3d9f87 · inbound
When Is a Task Vector Enough? An Empirical Theory of Implicit Multimodal ICL What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.