Paper Citation Record · LEDGER

What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.20382.

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

pith.paper-citation-record.v1
2407.20382 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:13.252774Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:11:24.150005Z

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 0f19630e-c248-4c7c-b9ef-caf72362cf26 · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:13.252774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92070451-fa98-406b-bdc5-23f3b49654cb · inbound

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making cites this paper.

Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T01:06:46.740016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8512c42f-1d0d-44bf-ab43-8815fdbb5c07 · inbound

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility cites this paper.

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models

Reference 134

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:26:00.224339Z

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 18d662b3-c784-4260-8e2b-8dc7306fdd3e · inbound

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility cites this paper.

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models

Reference 134

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:11:24.155863Z

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.