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Paper Citation Record · LEDGER

GPS: Genetic Prompt Search for Efficient Few-shot Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2210.17041.

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

pith.paper-citation-record.v1
2210.17041 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:46:32.105889Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:09:48.851781Z

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 d9431ab4-9035-4ddd-bb7c-71b1d2e0b1ce · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers GPS: Genetic Prompt Search for Efficient Few-shot Learning

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:04:31.337699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T00:04:31.212102Z digest=sha256:4ba4e0d239fe23819ed6358194d430df99e8d4605b8f8229ecf00c1785bc6818

Observation 8feff77f-1f92-477c-8a36-f43baf875965 · inbound

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning cites this paper.

From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning GPS: Genetic Prompt Search for Efficient Few-shot Learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-08T17:46:32.105889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:46:32.105889Z digest=sha256:2e8b6012a41316e6b19753af7c83aa96dfa18866df6955c14ff807a834b1e2d6

Observation cad65778-4a29-4ef3-b702-5a7f2605c9f8 · 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 GPS: Genetic Prompt Search for Efficient Few-shot Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T15:14:07.454293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:14:07.454293Z digest=sha256:e8bc37e3bb305c8dbb848783828d6f00c112922825221ade5b702ad38698d5cb

Observation ff35c601-05e9-4e0a-9710-e571e2898af3 · inbound

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts cites this paper.

CRAFT: Cost-aware Refinement And Front-aware Tuning of Prompts GPS: Genetic Prompt Search for Efficient Few-shot Learning

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:46:46.392449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T06:39:17.268337Z digest=sha256:0b8341f90bba45bf7c451bc6332f0b37c63fab7272f7733bc25e72e2e69b3a99

Observation 77b330fe-f6be-4922-b5d1-14acbc8c0241 · inbound

Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems cites this paper.

Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems GPS: Genetic Prompt Search for Efficient Few-shot Learning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:09:48.853074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-26T07:13:21.198407Z digest=sha256:f4db0e041f7ef5a4468843a585db80f54599481b7004aa7fbed3d946e6c001a7