Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:03.855664Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T01:36:25.057478Z digest=sha256:6a61afae62c028beb6590ae0cd6006cbbdfa2e928091a71b9a306c26e4a85fb5

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.

source=pdf_text observed=2026-08-07T10:19:03.855664Z digest=sha256:17b9ebfa4c826f95ce59c772bd38c68a1283c1500ed9c06719e7fd89e55288f3

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.

source=pdf_text observed=2026-08-04T23:56:30.151422Z digest=sha256:c955f87b1293d305e02254e965f0097586892d45f674e06c7c82dec0bbd7ee9b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:41:16.899844Z digest=sha256:10fe7e833fe8b15f973fedbc35a3a2d880ec24f12d7793a75011723aa1f2b8e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T11:00:21.413246Z digest=sha256:e99d481ed8bdc12e5937116b7d8236449a359e757c5f5973545f615a71199fe6

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.

source=pdf_text observed=2026-08-04T05:23:28.848978Z digest=sha256:1a9691b33070a58ab71e8379efb3a64388fbd55092361cbcf865299655b9770c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T02:42:35.470351Z digest=sha256:b3997b9c31d5ce7b03d6c891bb7ca496dba953d007e255147a0b0de3742f1c16

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.

source=pdf_text observed=2026-08-01T06:05:21.865631Z digest=sha256:db7c34057d1e9ca96bdce75ea3d95ef03f8698c1b8bd295ed6c63b968f2d6017