Paper Citation Record · LEDGER

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.12872.

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

pith.paper-citation-record.v1
2404.12872 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:32:19.313906Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T02:46:33.753837Z

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 168453cc-b3d6-47f0-a61e-47c23ba8f59d · inbound

Can Large Language Models Be Query Optimizer for Relational Databases? cites this paper.

Can Large Language Models Be Query Optimizer for Relational Databases? LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T18:54:32.481675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c0cc53c-6dd5-4fd1-a9af-e6b8cfde5beb · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:37:22.265555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ea98e005-8821-459a-b860-93ada149655e · inbound

Training-Free Query Optimization via LLM-Based Plan Similarity cites this paper.

Training-Free Query Optimization via LLM-Based Plan Similarity LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:03.855664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15fde195-5dcc-4986-9d10-0528b5850387 · inbound

PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking cites this paper.

PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:32:19.313906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36edf17d-cee0-4388-9813-ac8084bc4b47 · inbound

MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration cites this paper.

MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:30.151422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6235f12-79c7-4d5b-bf41-6192cda43d71 · inbound

PLOP: Cost-Based Placement of Semantic Operators in Hybrid Query Plans cites this paper.

PLOP: Cost-Based Placement of Semantic Operators in Hybrid Query Plans LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:01:03.562565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dbc63bb6-c48b-43ef-994d-6b9df29bebda · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.772631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 552c0ba5-a93e-42a9-a1c5-078cb99976c5 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T05:23:28.848978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81e17be-e5d3-45a3-ac0f-4584f56d03c6 · inbound

BCTuner: LLM-Guided Monte Carlo Tree Search for Efficient Blockchain Knob Tuning cites this paper.

BCTuner: LLM-Guided Monte Carlo Tree Search for Efficient Blockchain Knob Tuning LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-25T02:46:33.756907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dde665d2-7d33-482e-ad18-ea8f82c4f978 · inbound

IDSTune: A Multi-Agent Collaborative Framework for Integrated Database System Tuning cites this paper.

IDSTune: A Multi-Agent Collaborative Framework for Integrated Database System Tuning LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T06:05:21.865631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.