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Paper Citation Record · LEDGER

PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models

As of 18 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.

pith.paper-citation-record.v1
2304.01964 v3

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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:12:03.473287Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-07T11:12:03.473287Z digest=sha256:b62edfaeec53d08cd05ef3bc14fdae2a1a34cc91378e29e4beefdb7a0b8123c4

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.

source=pdf_text observed=2026-08-05T18:53:52.069455Z digest=sha256:858b4641b3a56560a9b66156d48f2d8df7c0e6ac919ff07299bc999997753f5f

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.

source=pdf_text observed=2026-08-05T14:38:06.941068Z digest=sha256:a879542082ca066b482ac0d3f869aa1d3bb47dc942e336cbcdb6c8cad8a654a8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T16:57:25.259866Z digest=sha256:a71d7681e21238270c1e34c9eb6a045747ec52cbdfce8166dab7ff5ca0df82e1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T02:29:16.582341Z digest=sha256:2d4f8519c8e61ec82988b145f363ce044e1764a554f98898c443a69a4eb077e3