Paper Citation Record · LEDGER

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.07233.

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

pith.paper-citation-record.v1
2505.07233 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:20:20.991380Z

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

0
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 5f25fbd1-4f95-44fc-8cd2-0267dda19230 · inbound

RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation cites this paper.

RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T10:20:20.991380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5c6cba6-58a2-4529-a767-ee34a853a36c · inbound

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning cites this paper.

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-13T13:59:01.287449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a72e2d-e962-4c9c-ab36-e4f399c4fd73 · inbound

Active Learners as Efficient PRP Rerankers cites this paper.

Active Learners as Efficient PRP Rerankers DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:43:27.227839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation afe64bb5-0998-41c4-b816-5a7138231377 · inbound

Active Learners as Efficient PRP Rerankers cites this paper.

Active Learners as Efficient PRP Rerankers DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:09:02.442786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.