Paper Citation Record · LEDGER

DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.07348.

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

pith.paper-citation-record.v1
2406.07348 v3

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:22.267044Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:47:45.495665Z

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 90121eb4-df7e-48b6-a5c1-bdd6e97bd98a · inbound

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models cites this paper.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:22.267044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f9ebdec-515f-4e40-8b87-9ce8b6e03e6d · inbound

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization cites this paper.

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:45:56.728976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786a343d-d711-4ab4-a12b-09d9b95c0a9d · inbound

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation cites this paper.

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:47:45.498114Z

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.

Observation 6e432c51-a9f3-426f-a059-4bec2d09fc60 · inbound

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation cites this paper.

R3G: A Reasoning-Retrieval-Reranking Framework for Vision-Centric Answer Generation DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T08:13:52.454225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfbb93d8-11ee-4d55-8a11-b2f3f7bb93ca · inbound

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval cites this paper.

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:11:04.008255Z

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.

Observation afed87f3-3d58-43a4-beba-6397e49d627a · inbound

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System cites this paper.

AILQA: Evaluating AI-Driven Legal Question Answering Systems for the Indian Legal System DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T14:17:29.953054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.