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Paper Citation Record · LEDGER

Hyperband-based Bayesian Optimization for Black-box Prompt Selection

As of 18 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 3 inbound Pith citation observations for arXiv:2412.07820.

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

pith.paper-citation-record.v1
2412.07820 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:45:33.276440Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:17:16.312658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:23:12.002651Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e215b1e3-0f35-4580-8292-ac62945aaa76 · outbound

This paper cites Left: Raw, unprocessed features.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Left: Raw, unprocessed features

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.526432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation da58c2f4-52bc-4d1d-9a2e-b72e6e6604ca · outbound

This paper cites R., and Levy, O.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection R., and Levy, O

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.655736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 133853f7-0028-4f35-9eee-33073a8f90d7 · outbound

This paper cites pulling an arm.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection pulling an arm

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.512963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4b8306de-90cf-4a4f-a014-877482cdc1c8 · outbound

This paper cites Plum: Prompt learn- ing using metaheuristics.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Plum: Prompt learn- ing using metaheuristics

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.630538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.202250Z digest=sha256:4acf2560b2a7af614db079af8aa08c49ae8c5d516ac14c313cba139bd3d355e2

Observation cbdabf44-2453-458b-848a-b2561cf0390f · outbound

This paper cites gradient de- scent.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection gradient de- scent

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.618224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.206680Z digest=sha256:daf8c2e84a2e4a9900c14ca92c7ec50a544dbf4fd5b51b400bc1e0b99c59160e

Observation a2cf1095-5221-4755-87e6-04dd17f0bba7 · outbound

This paper cites Learning to retrieve prompts for in-context learning.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Learning to retrieve prompts for in-context learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.605249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.212052Z digest=sha256:aaa7127023e44c327d2739866b493be7a368db9c3037826be3c0095434b65476

Observation 22ab69fd-b5ce-4316-bf08-bdeafea90235 · outbound

This paper cites Reliable gradient-free and likelihood-free prompt tuning.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Reliable gradient-free and likelihood-free prompt tuning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.579398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.223039Z digest=sha256:58dc68b1631222e365bbd05e1d8338f36f5105ac470ff5d466de0793fe853232

Observation eca05843-ac5e-4e94-b7d3-1ccb370a6959 · outbound

This paper cites L., Wallace, E., and Singh, S.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection L., Wallace, E., and Singh, S

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.567266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation abc78a1d-09d8-4e5e-b538-175cc9609aba · outbound

This paper cites BBTv2: Towards a gradient-free future with large language models.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection BBTv2: Towards a gradient-free future with large language models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.555652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.232378Z digest=sha256:0ef6ac1fe33050154233baf13016a59391c754be1bb7055ee544b425afb685b7

Observation cfcb1aae-a25a-4407-9ae0-10c3eb0b1443 · outbound

This paper cites GPS: Genetic prompt search for efficient few-shot learning.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection GPS: Genetic prompt search for efficient few-shot learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.542478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.236799Z digest=sha256:8b89df75b628efe893921331886bc0aa519c7a6969b3aa1a8200c043e30b075c

Observation cfe9c8cf-cb34-4d2a-a25d-14c31311890f · outbound

This paper cites Language Model Prompt Selection via Simulation Optimization.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Language Model Prompt Selection via Simulation Optimization

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T18:45:33.326603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.241030Z digest=sha256:cc26cc1cc073713dd21e81758d4b3d3b94ecaed8462023a4a8c80058eba71628

Observation cc4a3404-ccf0-46bd-92d8-408eae9d6584 · outbound

This paper cites 1”, “2”, “3.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection 1”, “2”, “3

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.476073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.258590Z digest=sha256:916299523aef47893c054256739faa5e3002a916bd422172b64be9183704f5f9

Observation 78ef16a4-9eed-410c-ad3b-c3af857365a5 · outbound

This paper cites an unresolved cited work.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:45:33.456623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.263353Z digest=sha256:8decbd02ab2da9ecede12196fb2e1b10aa4c96a60c55a1e5057d4101e70cc6b4

Observation 6382c167-f99e-4fec-b444-d6b1127798e1 · outbound

This paper cites We include HDBO (Hvarfner et al.,.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection We include HDBO (Hvarfner et al.,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.439819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.267886Z digest=sha256:f96c79f4f07f8aeef387e21103374fd91f6330486420f56b5b856472c5acce0a

Observation a6a4b49f-20b8-43c0-be7c-9c53a0492fb6 · outbound

This paper cites high-dimensional.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection high-dimensional

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.425312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.272139Z digest=sha256:5e28c7d6600ba2453114c0a4bf2dab4599a97855e197639919f0126025c7404e

Observation f0efee21-a039-4de3-8698-037db6a1dad0 · outbound

This paper cites (2018) for each proposal with a probability of ρ= 0.1.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection (2018) for each proposal with a probability of ρ= 0.1

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.411701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.276440Z digest=sha256:5dff5a2d93c342a46a08ea1e94f3bde26479b98c1fbd416d8c3457dae09eaf45

Observation 7f93bcc3-9858-428f-91ac-2e518ded0550 · outbound

This paper cites J., Purtell, J., Broman, D., Potts, C., Zaharia, M., and Khattab, O.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection J., Purtell, J., Broman, D., Potts, C., Zaharia, M., and Khattab, O

Reference 1978

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.643160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.195950Z digest=sha256:5f3dc244490b8edc86a8f14f3d2627cba40b8e514faecdbfcc911d5b2cb0f7fb

Observation d73654ca-e383-48a4-a2b1-980c25a59b14 · outbound

This paper cites an unresolved cited work.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Unresolved cited work

Reference 2011

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:45:33.669233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.162071Z digest=sha256:6baa03f676d54a77867f6de0421db541860ca04cae41473a378340e54e3d1b0c

Observation bf21081c-b592-4034-8b82-59b27e1b2aba · outbound

This paper cites samples from a probability distribution.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection samples from a probability distribution

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.499660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.254298Z digest=sha256:36aae4a2e95dd38c5a670176197bef04920535f57890cd4f4345725417ba475e

Observation eb0c5ee2-99f2-4719-82b2-f3e84afe1cae · outbound

This paper cites WikiHow: A Large Scale Text Summarization Dataset.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection WikiHow: A Large Scale Text Summarization Dataset

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T18:45:33.189261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:45:33.189261Z digest=sha256:c3bc628622f08469c263d83adde672962bb2def8651b5c524374ea45b68bfe58

Observation e175ca6c-67a2-40cd-a645-80a793b83052 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T18:45:33.167201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:45:33.167201Z digest=sha256:7f029479c13622a7c6f218f85e9be08217424659daab89b0c41b2548d9861f10

Observation 95d0fefe-7bdc-460b-880d-8009dbde31b2 · outbound

This paper cites and Neville, J.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection and Neville, J

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:45:33.592410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T18:45:33.217111Z digest=sha256:d1b4eb801123808070e37c1f9ebbf86de46ac7b0c3dc495251c157b07bb10604

Observation eefe9716-3a2c-4718-b525-91c3902329c0 · outbound

This paper cites Mistral 7B.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Mistral 7B

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T18:45:33.183786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:45:33.183786Z digest=sha256:ac54af4334ba3de21669f86264421c5daeddef07f97be18133a6fe34a3d0c969

Observation 43db7038-1826-43fd-ac64-5dad30238a72 · outbound

This paper cites Automatic Prompt Selection for Large Language Models.

Hyperband-based Bayesian Optimization for Black-box Prompt Selection Automatic Prompt Selection for Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T18:45:33.173273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:45:33.173273Z digest=sha256:15ac6e81cb67de529a6e3cad39a043b11bf5a3fdfa03fc048ae9e62b1759c1a0

Pith citing papers

Observation 784bf2ce-e540-4eed-957f-ceb6b1fe9cba · inbound

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

Meta-Prompt Optimization for LLM-Based Sequential Decision Making Hyperband-based Bayesian Optimization for Black-box Prompt Selection

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T18:00:22.190454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:00:22.190454Z digest=sha256:3aac8afd24c5f83e2ff9b7b26032b9e54d21477fe613c75c8a9e5eff36f2b6b2

Observation 41a58250-260d-4167-b85a-7860da643bea · inbound

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M cites this paper.

Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M Hyperband-based Bayesian Optimization for Black-box Prompt Selection

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T21:17:16.312658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:17:16.312658Z digest=sha256:5d411c87143f82c5adc4b68db9ca3d373d793eecb7092d335ff851345bb2012d

Observation 256d01cc-8a28-4531-a88c-9846c9ed80d9 · inbound

Embedding by Elicitation: Dynamic Representations for Bayesian Optimization of System Prompts cites this paper.

Embedding by Elicitation: Dynamic Representations for Bayesian Optimization of System Prompts Hyperband-based Bayesian Optimization for Black-box Prompt Selection

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:23:12.004184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T10:21:46.912554Z digest=sha256:0db25918f7339a17ec486486c8ac1ba9a6a465fbef828ebd1940f33aaadbccd6