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Paper Citation Record · LEDGER

Multi-Document Grounded Multi-Turn Synthetic Dialog Generation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.11500.

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

pith.paper-citation-record.v1
2409.11500 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:15:48.144820Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 262d9be3-be13-4f22-921f-195b38624654 · inbound

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems cites this paper.

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems Multi-Document Grounded Multi-Turn Synthetic Dialog Generation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:58.600712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:56:58.600712Z digest=sha256:28cea815b10a7b7b6de67791415f62ba877e1a562f7e8d791d245e57f2640ba1

Observation cf06c0b5-bccb-42d3-a042-ff1f05b8a513 · inbound

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation cites this paper.

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation Multi-Document Grounded Multi-Turn Synthetic Dialog Generation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:17:40.154241Z

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=2026-05-16T09:13:55.204404Z digest=sha256:f9dff48ee8de04c2acbff6de8285e9e41b45f1e1833343278d2a7e59cd66d128

Observation 4905a024-f001-4efe-8943-83c81cfcc7d0 · inbound

MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks cites this paper.

MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks Multi-Document Grounded Multi-Turn Synthetic Dialog Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:39:40.950545Z

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=2026-05-21T05:35:51.772382Z digest=sha256:4075ab0fab963319cd671f364d7b69791c89e64807d4bd9aa5205495bd5c98cd

Observation 6745a3c3-73dd-4f17-a126-641cebde8c60 · inbound

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance cites this paper.

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance Multi-Document Grounded Multi-Turn Synthetic Dialog Generation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:03:16.148913Z

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=arxiv_source observed=2026-06-29T08:54:48.807164Z digest=sha256:aa5f899aecdb4231b7a97b5574fafa11e2e5af7e2b5fdf341a5aaa8673cf0f4a

Observation fe906003-1f83-4557-b733-af2e65f77f4e · inbound

ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girls cites this paper.

ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girls Multi-Document Grounded Multi-Turn Synthetic Dialog Generation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T14:16:46.924828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:16:46.924828Z digest=sha256:004c8198f11dfc6fc70f45b3b2e839f1730572e50e3b270a7faf7b76e9edb518

Observation 93439739-7884-4c18-9383-e42e23f21a4b · inbound

VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use Policies cites this paper.

VAKRA: Evaluating Multi-Hop Reasoning Across APIs and Retrieval Under Tool-Use Policies Multi-Document Grounded Multi-Turn Synthetic Dialog Generation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:48.144820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:48.144820Z digest=sha256:071f1cbde626ec70780276ec85aa289909f9b0d2a16cb62ae6da5a06bae4b9d9