Paper Citation Record · LEDGER

Can large language models explore in-context?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.15371.

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

pith.paper-citation-record.v1
2403.15371 v3

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 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T01:09:03.124230Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.689630Z

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 31d826d5-7db4-48db-b179-9919e6213feb · inbound

Large Language Models Think Too Fast To Explore Effectively cites this paper.

Large Language Models Think Too Fast To Explore Effectively Can large language models explore in-context?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T01:09:03.124230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff14cd29-9328-44eb-87b2-62ad0667ac1a · inbound

Meta-Prompt Optimization for LLM-Based Sequential Decision Making cites this paper.

Meta-Prompt Optimization for LLM-Based Sequential Decision Making Can large language models explore in-context?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T18:00:22.163766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b1b16b-31b2-4072-ac64-9ff18668e5ef · inbound

Large Language Model-Enhanced Multi-Armed Bandits cites this paper.

Large Language Model-Enhanced Multi-Armed Bandits Can large language models explore in-context?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T16:35:28.412559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c14075a3-af6b-4cea-a2df-df48b7991ca5 · inbound

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs cites this paper.

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs Can large language models explore in-context?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:26.307343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 097a55a6-5e4c-4383-bec7-b4b810126b6f · inbound

Behavioral Exploration: Learning to Explore via In-Context Adaptation cites this paper.

Behavioral Exploration: Learning to Explore via In-Context Adaptation Can large language models explore in-context?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:15:44.938881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdc44b5f-a928-407a-80a9-53f371552662 · inbound

ABBEL: Learning Natural-Language Belief States for Memory-Efficient Interaction cites this paper.

ABBEL: Learning Natural-Language Belief States for Memory-Efficient Interaction Can large language models explore in-context?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T14:34:51.319254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ea7086-85eb-4f6d-9a8b-5149daae45cf · inbound

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation cites this paper.

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation Can large language models explore in-context?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:25:58.203031Z

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 5e3a72b7-e39c-4ba1-a931-6ff7d071f22c · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Can large language models explore in-context?

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:57:41.691457Z

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.