Paper Citation Record · LEDGER

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models

As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2412.17964.

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

pith.paper-citation-record.v1
2412.17964 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:10:58.320721Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b906dbba-570b-4543-a1be-7c1d442d91fd · outbound

This paper cites Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:10:58.256021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d579d68b-a5ef-4101-8c68-a03487da1664 · outbound

This paper cites A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models A Study on the Implementation of Generative AI Services Using an Enterprise Data-Based LLM Application Architecture

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T05:10:58.267537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7dad595-1647-47b0-99dc-43695c256509 · outbound

This paper cites From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:10:58.273881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7abc648d-afb0-4cee-8315-cb2c4f29bdfd · outbound

This paper cites A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:10:58.287049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1441d97-d601-466e-8763-2c8ffb6226ce · outbound

This paper cites Augmented Language Models: a Survey.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Augmented Language Models: a Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:10:58.292529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19972fb2-b28e-45ee-9371-a44de300abbb · outbound

This paper cites an unresolved cited work.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:10:58.521390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b386740c-dd16-4fcf-adf3-8cc7f1803db8 · outbound

This paper cites an unresolved cited work.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:10:58.503920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fbfb3365-ecda-4c34-a4ee-66ec072ea456 · outbound

This paper cites an unresolved cited work.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:10:58.485688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 95a74fda-f189-43cf-ba4f-83b08b40638c · outbound

This paper cites an unresolved cited work.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:10:58.466713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d644c81-55c1-41d7-bdfe-b0aabec7527f · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T05:10:58.320721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd31aa3-d308-4ee1-b18d-32de547f9721 · outbound

This paper cites an unresolved cited work.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:10:58.538153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d7620a9-e062-4afc-8a0e-049b78e067a6 · outbound

This paper cites an unresolved cited work.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:10:58.556589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a9b112e5-99b1-4365-b373-c99db470a358 · outbound

This paper cites an unresolved cited work.

Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:10:58.573745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.