Pith. sign in

Paper Citation Record · LEDGER

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.11004.

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

pith.paper-citation-record.v1
2402.11004 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:57:48.557237Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:07:17.213741Z

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 c646bb51-cae2-4f2b-a581-d7a064c10fe3 · inbound

The LZ78 Source cites this paper.

The LZ78 Source The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:07:17.216646Z

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=2026-05-23T00:06:50.969268Z digest=sha256:e4e939a134116e5393de1c22bc8e26187341ee7e1360886ede585be7f274b250

Observation d56d9855-95c8-45f2-9653-c33e56d556ec · inbound

Pre-trained Large Language Models Learn Hidden Markov Models In-context cites this paper.

Pre-trained Large Language Models Learn Hidden Markov Models In-context The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T10:37:15.068537Z

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=2026-05-19T10:34:40.987583Z digest=sha256:4723808e16814fc913bf482b7f8bf7bd696179dece9a3a603c728aaa38fb67a9

Observation 6f0fa652-2942-45fe-a97e-2280ce290262 · inbound

Decomposing Prediction Mechanisms for In-Context Recall cites this paper.

Decomposing Prediction Mechanisms for In-Context Recall The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:57:48.557237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:57:48.557237Z digest=sha256:7de8647a6582488898c2bb0dc80e783c3824757a9210bbd1a6818765812b708b

Observation ddb929c6-eeb2-4083-b98d-6709255ca34d · inbound

The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations cites this paper.

The Features at Convergence Theorem: a first-principles alternative to the Neural Feature Ansatz for how networks learn representations The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:31:19.725776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:19.725776Z digest=sha256:c2de0202b856c5662416f8693f3058c160699fe39b5d94ad39696445e6fc7d57

Observation 3162a577-bca9-4c0a-891f-828d349a23c3 · inbound

Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling cites this paper.

Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T12:25:25.085058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:25:25.085058Z digest=sha256:0f105e2def9dcf7bab59697a69100f49938e3f0011cf84ae3f29f4099baff7df

Observation d024a422-1c86-483b-bf9d-b819d3fa3d90 · inbound

Selective Induction Heads: How Transformers Select Causal Structures In Context cites this paper.

Selective Induction Heads: How Transformers Select Causal Structures In Context The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T21:11:43.610535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:11:43.610535Z digest=sha256:9fba09082a026b56c2e70d6986984b621fed7dd6dd33f75b14f833fae8d7d025

Observation 5d316a14-2dbc-4973-ab39-259ee61260b6 · inbound

Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge cites this paper.

Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:14.251611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:14.251611Z digest=sha256:f0cbcb9c9241b1b7871e594cb53ca570300bd5110f855b0fa91e403221014dc6

Observation 0fe863a0-7246-42d2-b543-e0ba6e41504e · inbound

Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch cites this paper.

Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-12T00:51:41.905788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:51:41.905788Z digest=sha256:6086197bc3e708772fe4a9ab589dd3f9468d371bd7dd4dc89d1a9610f26af464