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Paper Citation Record · LEDGER

Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.16789.

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

pith.paper-citation-record.v1
2503.16789 v2

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 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:18.117771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:45:00.951808Z

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 0ee8544e-60ef-48b3-a2f4-625a20641ca8 · inbound

LLMs Get Lost In Multi-Turn Conversation cites this paper.

LLMs Get Lost In Multi-Turn Conversation Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:11:09.325743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T00:57:10.262350Z digest=sha256:3a1081a0bde5c09aa2e3e0b21494b4abad9f31a478900b598356892692e284f1

Observation dff8e9e7-2578-4efa-90df-fe3e2db772fd · inbound

Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild cites this paper.

Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:18.117771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:18.117771Z digest=sha256:3a5ea76006efec5d1709bbb841dad1f2935be737233ddaaab563ab1a75b20bfb

Observation 694b302c-df0a-48dd-bc00-68b4a64a46cb · 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 Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:01:05.170390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T02:29:16.582341Z digest=sha256:2ee6bb4802cee7b5b6429119abc01e548001322bb9345c4236664298b187d3aa

Observation ad0d66d4-5bda-4cc3-b08b-9473d7348fc4 · inbound

AInterviewer: A Platform for Designing and Conducting AI-led Qualitative Interviews cites this paper.

AInterviewer: A Platform for Designing and Conducting AI-led Qualitative Interviews Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T19:45:00.953267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-30T19:37:22.523709Z digest=sha256:5e8d75b01a8dc9489549a0d156d422df5a206a45d7a5000c95565e8d116620ca

Observation 8060bd0a-c4e3-4b34-9d52-792f7986e292 · inbound

Automatically Evolving Prompt Guidelines for Task-Specific Optimization cites this paper.

Automatically Evolving Prompt Guidelines for Task-Specific Optimization Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-02T14:46:33.547901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:46:33.547901Z digest=sha256:a6612423cb72a6fa4bf51a3b28f0dab902e155e3ad4c52a8f6488ce2ff202f9e