Paper Citation Record · LEDGER

SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.11347.

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

pith.paper-citation-record.v1
2402.11347 v2

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 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:27.657262Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:45:12.404123Z

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 930ae3e9-3aea-4eb5-b44b-eb66187c1ef6 · inbound

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework cites this paper.

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T00:08:16.169901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53bf2173-e5fb-4125-899b-cf0a4b9e9236 · inbound

Dialz: A Python Toolkit for Steering Vectors cites this paper.

Dialz: A Python Toolkit for Steering Vectors SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T01:04:27.657262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9e11372-7ff1-41ca-8643-0d8a02e7119d · inbound

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications cites this paper.

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:07.751567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91495224-4271-46dd-b6f0-d9345a56b743 · inbound

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities cites this paper.

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:24.971232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41002ee4-1674-4200-9cf0-a99d4c1e53ca · inbound

Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems cites this paper.

Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:14.185021Z

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.

Observation a1410aa0-0ea8-4627-a574-c6ebc5e04f89 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:33.714245Z

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.

Observation 1fe925dd-a93d-4a12-9946-5a68b6e59539 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:45:12.405733Z

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.

Observation 4a0e89b2-7414-4717-9dba-c46745418958 · inbound

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval cites this paper.

FitText: Evolving Agent Tool Ecologies via Memetic Retrieval SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T05:24:43.844258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.