Paper Citation Record · LEDGER

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.19783.

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

pith.paper-citation-record.v1
2506.19783 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:28:00.292213Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy9
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38ac36f0-ee02-44a9-8ec5-c4cc40ef0cf7 · outbound

This paper cites As detailed in Fig 6, our strategy again demonstrates a significant performance margin over the methods proposed by DMQR-RAG(Li et al., 2024).

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting As detailed in Fig 6, our strategy again demonstrates a significant performance margin over the methods proposed by DMQR-RAG(Li et al., 2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.601887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1d0e57a-5543-4341-a3c3-005669e26c50 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting HybridFlow: A Flexible and Efficient RLHF Framework

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.222462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4c6003-3f92-46c3-a94c-3f956ac8fb3b · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting Gemini: A Family of Highly Capable Multimodal Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.227615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7941cb0e-2aaf-45b8-b958-b40ba0d5d9f9 · outbound

This paper cites an unresolved cited work.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:28:00.629663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 792f9d79-8319-420e-ae33-b439b9f67353 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting C-Pack: Packed Resources For General Chinese Embeddings

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.240848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e3996e-a036-4faf-8163-b56a8efed1a3 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.254272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6da5186d-ebd5-4d2b-9d92-831344a92b03 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.260604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e3fe96-1fd2-4738-96ab-cdd4303aa6cb · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.265058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 941821c8-66b7-4d69-bfd2-57c57c21baa7 · outbound

This paper cites We experiment with rollout numbers of 16 and.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting We experiment with rollout numbers of 16 and

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.586540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 328a1579-6733-4088-b30d-e62a405a650e · outbound

This paper cites However, this new paradigm intro- duces a critical bottleneck: heavy reliance on large- scale, high-quality annotated query pairs, which are costly and labor-intensive to construct.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting However, this new paradigm intro- duces a critical bottleneck: heavy reliance on large- scale, high-quality annotated query pairs, which are costly and labor-intensive to construct

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.555353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 976a8198-1948-4df0-9b7d-efce11ab2494 · outbound

This paper cites do nothing.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting do nothing

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.535526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a7f59f20-c6ae-42dd-9508-fe53c275adbc · outbound

This paper cites Each subplot compares the upper-bound performance (NDCG@10) of our SGP against the strategies from Li et al.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting Each subplot compares the upper-bound performance (NDCG@10) of our SGP against the strategies from Li et al

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.518195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 902a5bf3-b432-4627-af5e-604894cc7e1a · outbound

This paper cites Unless otherwise specified, we use the default hyperpa- rameters provided by Verl.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting Unless otherwise specified, we use the default hyperpa- rameters provided by Verl

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.573582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10ac115e-60c0-48fc-8d86-df5d0c50ce28 · outbound

This paper cites In Proceedings of TREC-13, pages 715–725.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting In Proceedings of TREC-13, pages 715–725

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.654904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69ef1322-863d-461c-839d-b102f19339f3 · outbound

This paper cites Qwen3 Technical Report.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting Qwen3 Technical Report

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.249138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e916c7a9-a480-4e8a-bac8-4c84f8bbf3f7 · outbound

This paper cites In Proceedings of the 2015 international conference on the theory of information retrieval, pages 111–120.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting In Proceedings of the 2015 international conference on the theory of information retrieval, pages 111–120

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.617295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1bc456fe-214c-4d56-ab7c-1452de869dd1 · outbound

This paper cites In Ad- vances in Information Retrieval: 38th European Con- ference on IR Research, ECIR 2016, Padua, Italy, March 20–23,.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting In Ad- vances in Information Retrieval: 38th European Con- ference on IR Research, ECIR 2016, Padua, Italy, March 20–23,

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:28:00.642867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b3551b81-7478-4e92-8f11-af741f078547 · outbound

This paper cites Proximal Policy Optimization Algorithms.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting Proximal Policy Optimization Algorithms

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.210344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87f14f88-6631-4017-b42d-19e0d117faf8 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.190315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06179c00-d742-4e86-82a1-612f12781de4 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.205230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7482afd-75dd-46b8-b50b-a4d37c8cf793 · outbound

This paper cites Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.236554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11ba7565-9478-4dd8-923a-8941261af9c6 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.199394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6217c1a-b1b3-40af-8851-5f165abea5a4 · outbound

This paper cites GPT-4 Technical Report.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.180607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc22e3e0-61fd-4870-b456-23f9cff852b3 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.215868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa37f10d-a7b7-482d-83b7-d19c214f6c65 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T18:28:00.194756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.