Paper Citation Record · LEDGER

Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.00793.

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

pith.paper-citation-record.v1
2406.00793 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:16:05.857663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.612324Z

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 b6cbadeb-e927-457e-8366-3ec840010f02 · inbound

Soft Head Selection for Injecting ICL-Derived Task Embeddings cites this paper.

Soft Head Selection for Injecting ICL-Derived Task Embeddings Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:41:59.673894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b59eca7-153a-43aa-a954-0df1df08cee6 · inbound

LILO: Bayesian Optimization with Natural Language Feedback cites this paper.

LILO: Bayesian Optimization with Natural Language Feedback Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:42:24.478726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c9bb0775-2f44-4311-bc91-f412e7de9839 · inbound

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

Learning to Remember, Learn, and Forget in Attention-Based Models Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T03:16:05.857663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d02614df-bd00-4ac4-b99f-d45472902217 · inbound

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs cites this paper.

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:01.539198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bf37a038-a756-4e65-b653-470b2ddb4f5f · inbound

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs cites this paper.

Agentic Forecasting using Sequential Bayesian Updating of Linguistic Beliefs Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T19:33:20.775008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9feba32-a168-4bf6-912f-e324f01d5ce8 · 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 Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 238

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:16:06.845043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a9d55e5-07ae-4d62-8dda-335936ad64a1 · inbound

Variational predictive resampling cites this paper.

Variational predictive resampling Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:07.244515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f79de12d-0970-44ae-a5df-999c95fe46e1 · inbound

Variational predictive resampling cites this paper.

Variational predictive resampling Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:52:58.675792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b5e46af-17c5-496c-a264-62ff59e8f8bf · inbound

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games cites this paper.

Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.613838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.