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Paper Citation Record · LEDGER

EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2410.06238.

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

pith.paper-citation-record.v1
2410.06238 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:29.718072Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:00:56.490205Z

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 5055f052-c402-4c9f-b2e6-6520b3950480 · inbound

Disentangling Exploration of Large Language Models by Optimal Exploitation cites this paper.

Disentangling Exploration of Large Language Models by Optimal Exploitation EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T20:18:58.385039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:18:58.385039Z digest=sha256:2acd249f1be53d13eb2aa990c2e23eb004bb6284e7cc61b3f9cd6353c52d5bb1

Observation df3e06e4-8f88-4a78-a2ae-b32c7dc623f3 · inbound

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

Large Language Models Think Too Fast To Explore Effectively EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T01:09:03.133137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T01:09:03.133137Z digest=sha256:731852d19734d997d1c314ea2a0dfc8eac39e736a19fc5d982d0a474b0242aff

Observation c33acce2-cfb5-43f3-9e09-31590ff03309 · inbound

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities cites this paper.

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T11:16:29.718072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:16:29.718072Z digest=sha256:f60c0070a5a5a415d84a3d9abeb03c7e5991706b8d79b6a24aa992a694985f61

Observation e94f63ce-d0b5-400a-a8e0-1f0595fdf8e8 · inbound

Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM cites this paper.

Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T21:05:21.377077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:05:21.377077Z digest=sha256:3e6f95d29d75efe2ddf1ec67b668474e4bec537779a64e4ba7c28395e32ca48a

Observation 0f096251-a5cd-4179-9aec-f1afbbd51898 · inbound

LLM-First Search: Self-Guided Exploration of the Solution Space cites this paper.

LLM-First Search: Self-Guided Exploration of the Solution Space EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T10:28:45.197686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:45.197686Z digest=sha256:9a107a5ca666fc318e6300bb01744ab25aa4d08b5a0089d24a654ce58c6dbb60

Observation 52911944-a89a-47e7-ae74-3accc39b8d79 · 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 EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:26.952530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:26.952530Z digest=sha256:ca3841bdfbdd7a56bac8501240f420f60d7e6c44f443bd9c7936cf1a6161e9d3

Observation 9b4b551d-181c-4b38-9845-5315637ff5f9 · inbound

Formalizing Learning from Language Feedback with Provable Guarantees cites this paper.

Formalizing Learning from Language Feedback with Provable Guarantees EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:39:19.139458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:19.139458Z digest=sha256:05110c93d3507a8d44e513a29e655c4c801ff33a4bab530440405995ac64d235

Observation 372ff9fe-6ebd-42de-9587-a664a68c9133 · inbound

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

Behavioral Exploration: Learning to Explore via In-Context Adaptation EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:15:45.636586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:15:45.636586Z digest=sha256:13c5f906f17e97956801b9fb2f358d0294c19c7cef0ae49135087ee633fdf484

Observation 3d1db217-4432-4442-b7b0-38373cb0abfa · inbound

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

ABBEL: Learning Natural-Language Belief States for Memory-Efficient Interaction EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T14:34:51.325086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:34:51.325086Z digest=sha256:19e4224bad1e9e0c7ca003332cae8182fb55015efc60a10e488a5a1bd90e9cd6

Observation abe711ab-8209-467c-b332-66feaea2e068 · inbound

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents cites this paper.

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:56.492549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T00:54:39.349292Z digest=sha256:d91566bb69dfd8ede30e70052910338360201a44dd5d481250682233f03ae37d