Paper Citation Record · LEDGER

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.04155.

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

pith.paper-citation-record.v1
2311.04155 v3

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 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:38:17.314113Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:07:17.296946Z

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 24ac7ab2-87d9-43c5-881a-87d8a9933c22 · inbound

When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs cites this paper.

When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-08T15:38:17.314113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a1f8c22-d372-486c-8dd1-4e9d66d2b908 · inbound

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference cites this paper.

Green Prompting: Characterizing Prompt-driven Energy Costs of LLM Inference Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:07:17.299291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 345b1eb6-4d59-4c95-bc1e-b6fb1541e42f · inbound

Adaptive Plan-Execute Framework for Smart Contract Security Auditing cites this paper.

Adaptive Plan-Execute Framework for Smart Contract Security Auditing Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:13.480337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25337bed-b46b-45e8-9ee0-9115fbeaef5a · inbound

Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings cites this paper.

Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:15:37.125021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252cc8a8-c393-48a0-969c-8308d6c9b4d8 · inbound

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention cites this paper.

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:08:34.522580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e091188-9fbc-4eec-9ff2-8d7df7b3aa48 · inbound

P3: Prompts Promote Prompting cites this paper.

P3: Prompts Promote Prompting Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T15:30:52.283466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1147b8cd-12f7-42f4-984e-62cb7586dfe7 · inbound

Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement cites this paper.

Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:07:00.103989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a631b25a-f334-4eae-a762-1ad920e84509 · inbound

Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition cites this paper.

Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T13:29:54.718256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b9b45d7-ef20-45f6-a2be-13c61d69591d · inbound

MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark cites this paper.

MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T12:01:30.200126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c669a9-6963-41e3-8f08-396dbfbaf58d · inbound

Supplement Generation Training for Enhancing Agentic Task Performance cites this paper.

Supplement Generation Training for Enhancing Agentic Task Performance Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:59:49.549279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.