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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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.

source=pdf_text observed=2026-08-11T05:10:58.256021Z digest=sha256:b638596f58dc2d78c83eb0a5a46e70007884fe021ef9ecc4ed6f32d940d5ad5b

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.

source=pdf_text observed=2026-08-11T05:10:58.267537Z digest=sha256:fec1235eabe964964c809fbf40b1fb928573148f6d49191075205dfaa8766a31

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.

source=pdf_text observed=2026-08-11T05:10:58.273881Z digest=sha256:86daaf45877280b88274612c4666a1574aed64e9234e03f5789af0ced48e78ef

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.

source=pdf_text observed=2026-08-11T05:10:58.287049Z digest=sha256:01b61d9ebb073d5d393ed8cd76b0735ac2b08d64f54e992a47e9429269a8b2ee

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.

source=pdf_text observed=2026-08-11T05:10:58.292529Z digest=sha256:95cb9f58291e73f4c13d1b3477f02123b2656611506121b638ce03700201d7ab

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T05:10:58.298510Z digest=sha256:069e980e7a7f2a3b601da9fc01d3f6d372034dc3a0ada9ed5005e4bc764efcbe

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T05:10:58.303805Z digest=sha256:94166dd441e23375ca315f305ba4d1062a82f5519f72289b6fd6802292a0c51d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T05:10:58.309043Z digest=sha256:20c0ae0ee55bdda142adec94826dbf85ecbb1241be62f8472b79265d72276d7c

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T05:10:58.314781Z digest=sha256:e11e43d5de417370c44ce3d84752d5ae126fcd0800c8765200355f6359bad3e0

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.

source=pdf_text observed=2026-08-11T05:10:58.320721Z digest=sha256:c01864030a909e21cc43eaf80d50d668bed6fd61d80ffc277531a4e133dc6ee6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T05:10:58.280332Z digest=sha256:41824bf97d674328c5faca8fe8613bbe7bcc30570b562399cdd19d9ee6439505

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T05:10:58.261775Z digest=sha256:a83f3c368e8efcf85ba8954a48547a15a6c5ba07865f476fc58dfecd70e78489

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T05:10:58.249750Z digest=sha256:58cbada759be60881910282648b24430acb497aae78312343e0129b8328a3f82

Pith citing papers

No inbound Pith citation observations are available.