Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.01964.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:12:03.473287Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:01:40.054795Z
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 0e01a378-b899-4019-8ce1-0e6333bf4aee · inbound
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models cites this paper.
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:12:03.473287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39f5a1db-471a-4552-a26c-dc580869bc0b · inbound
Prompt Orchestration Markup Language cites this paper.
Prompt Orchestration Markup Language PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:53:52.069455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da5656d5-05ff-4825-abba-c2a91f2511a4 · inbound
OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models cites this paper.
OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:38:06.941068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 972f62fa-682e-4d48-912e-8f24dc316034 · inbound
Evalet: Evaluating Large Language Models through Functional Fragmentation cites this paper.
Evalet: Evaluating Large Language Models through Functional Fragmentation PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:01:40.057325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9e9009f6-1623-432e-ae2d-f41c588af7a6 · inbound
OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting cites this paper.
OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:01:05.033398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.