FINER-SQL: Boosting Small Language Models for Text-to-SQL | Paper Citation Record

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This paper cites Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers

Reference 1

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This paper cites Dr.spider: A diagnostic evaluation benchmark towards text-to-SQL robustness.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Dr.spider: A diagnostic evaluation benchmark towards text-to-SQL robustness

Reference 2

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Observation 11713fa1-ce3b-4a6b-84c6-b4ef9386fbcb · outbound

This paper cites Exploring underexplored limitations of cross-domain text-to-SQL generalization.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Exploring underexplored limitations of cross-domain text-to-SQL generalization

Reference 3

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This paper cites Handling probabilistic integrity constraints in pay-as- you-go reconciliation of data models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Handling probabilistic integrity constraints in pay-as- you-go reconciliation of data models

Reference 4

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This paper cites Handling data sparsity and model poisoning attacks in federated sequential recommender systems.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Handling data sparsity and model poisoning attacks in federated sequential recommender systems

Reference 5

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Observation e339a0e3-0ef5-4a3b-8f78-e4db6da148a0 · outbound

This paper cites Handling low homophily in recommender systems with partitioned graph transformer.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Handling low homophily in recommender systems with partitioned graph transformer

Reference 6

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Observation dc5ee51f-0ad8-4af6-ae40-b6efa9bc4d71 · outbound

This paper cites Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task

Reference 7

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Observation a27a49c9-644d-4c32-861c-db5731ac5667 · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

Reference 8

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Observation 1d56fbae-37c8-48b3-acaa-d2ec2c63876a · outbound

This paper cites Codes: Towards building open-source language models for text-to-sql.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Codes: Towards building open-source language models for text-to-sql

Reference 9

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Observation b74f9bf4-701c-4dba-b176-c4856a381fea · outbound

This paper cites CHESS: Contextual Harnessing for Efficient SQL Synthesis.

FINER-SQL: Boosting Small Language Models for Text-to-SQL CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 10

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Observation 29e83e75-67c4-4472-b01e-743d37cb221c · outbound

This paper cites CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL.

FINER-SQL: Boosting Small Language Models for Text-to-SQL CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 11

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Observation 3d542beb-5206-4f16-99ad-f9f4d141bc95 · outbound

This paper cites An efficient and effective evaluator for text2sql models on unseen and unlabeled data.

FINER-SQL: Boosting Small Language Models for Text-to-SQL An efficient and effective evaluator for text2sql models on unseen and unlabeled data

Reference 12

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Observation b66db2f0-124e-4e55-a74b-8250858c2ea8 · outbound

This paper cites Prototype learning for interpretable respiratory sound analysis.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Prototype learning for interpretable respiratory sound analysis

Reference 13

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This paper cites A dual benchmarking study of facial forgery and facial forensics.

FINER-SQL: Boosting Small Language Models for Text-to-SQL A dual benchmarking study of facial forgery and facial forensics

Reference 14

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Observation 6ea9286a-bc57-4fd3-a994-311280e1c4e3 · outbound

This paper cites Masksql: Safeguarding privacy for llm-based text-to-sql via abstraction.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Masksql: Safeguarding privacy for llm-based text-to-sql via abstraction

Reference 15

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Observation 21b72ee3-6f16-4495-879e-72e4f40edb7b · outbound

This paper cites Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning

Reference 16

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Observation 36cb059e-d3c3-4d6b-99c3-098a72a5f4f1 · outbound

This paper cites Privacy-preserving explainable ai: a survey.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Privacy-preserving explainable ai: a survey

Reference 17

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Observation 03b764ad-ae62-40f3-a686-a5edc9ceea26 · outbound

This paper cites Poisoning gnn-based recommender systems with generative surrogate-based attacks.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Poisoning gnn-based recommender systems with generative surrogate-based attacks

Reference 18

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Observation f88715d5-f491-49a7-b2c0-b1fd4a04fa7c · outbound

This paper cites Detecting rumours with latency guarantees using massive streaming data.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Detecting rumours with latency guarantees using massive streaming data

Reference 19

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This paper cites Is long context all you need? leveraging llm’s extended context for NL2SQL.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Is long context all you need? leveraging llm’s extended context for NL2SQL

Reference 20

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL LLaMA: Open and Efficient Foundation Language Models

Reference 21

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This paper cites Mistral 7B.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Mistral 7B

Reference 22

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This paper cites Efficient integration of multi-order dynamics and internal dynamics in stock movement prediction.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Efficient integration of multi-order dynamics and internal dynamics in stock movement prediction

Reference 23

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Observation 10ac2fad-c195-4efc-950a-9ba4f79db3f5 · outbound

This paper cites Efficient and effective multi-modal queries through heterogeneous network embedding.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Efficient and effective multi-modal queries through heterogeneous network embedding

Reference 24

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This paper cites Portable graph-based rumour detection against multi-modal heterophily.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Portable graph-based rumour detection against multi-modal heterophily

Reference 25

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Observation 0833960e-a5cd-44e9-8fe2-868f67500bd1 · outbound

This paper cites Manipulating recommender systems: A survey of poisoning attacks and countermeasures.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Manipulating recommender systems: A survey of poisoning attacks and countermeasures

Reference 26

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This paper cites Smart: A tool for analyzing and reconciling schema matching networks.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Smart: A tool for analyzing and reconciling schema matching networks

Reference 27

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This paper cites Tag-based paper retrieval: minimizing user effort with diversity awareness.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Tag-based paper retrieval: minimizing user effort with diversity awareness

Reference 28

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This paper cites Proximal Policy Optimization Algorithms.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Proximal Policy Optimization Algorithms

Reference 29

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Observation 68a42058-c1b9-4c50-8054-8c4ad4475a0a · outbound

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

FINER-SQL: Boosting Small Language Models for Text-to-SQL DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 30

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This paper cites arXiv:2505.20315 [cs].

FINER-SQL: Boosting Small Language Models for Text-to-SQL arXiv:2505.20315 [cs]

Reference 31

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Observation c90fe622-e28c-43a6-bac9-f9322c49ea2b · outbound

This paper cites ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback.

FINER-SQL: Boosting Small Language Models for Text-to-SQL ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback

Reference 32

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Observation ef15f249-d465-465b-8b5f-294701982287 · outbound

This paper cites Model-agnostic and diverse explanations for streaming rumour graphs.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Model-agnostic and diverse explanations for streaming rumour graphs

Reference 33

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Observation ee1634e7-1fc9-4a1e-8731-dcaa9191d53d · outbound

This paper cites Deep mincut: Learning node embeddings from detecting communities.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Deep mincut: Learning node embeddings from detecting communities

Reference 34

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This paper cites Boosting small language models for text-to- sql with fine-grained execution feedback and cost-efficient rewards.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Boosting small language models for text-to- sql with fine-grained execution feedback and cost-efficient rewards

Reference 35

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Observation 9a3c82c0-5b91-4de9-89ec-9dd68e565447 · outbound

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

FINER-SQL: Boosting Small Language Models for Text-to-SQL DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 36

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Observation 48634e83-7dd1-42e0-9dae-635de6e22c93 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 37

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Observation 11d38640-67ea-4f21-9425-6e7854e3f419 · outbound

This paper cites Reconciling schema matching networks through crowdsourcing.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Reconciling schema matching networks through crowdsourcing

Reference 38

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Observation 43ac6cb8-d106-4c18-846e-c8473db5a550 · outbound

This paper cites Isomorphic graph embedding for progressive maximal frequent subgraph mining.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Isomorphic graph embedding for progressive maximal frequent subgraph mining

Reference 39

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Observation a559505f-4f5e-42fa-93d8-d82b4e4d466c · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Direct preference optimization: Your language model is secretly a reward model

Reference 40

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Observation add993a1-1b3e-4990-bbe5-76689c65f2f0 · outbound

This paper cites Orpo: Monolithic preference optimiza- tion without reference model.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Orpo: Monolithic preference optimiza- tion without reference model

Reference 41

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Observation 1a272017-f1c5-4d24-90bc-96856bd2dee1 · outbound

This paper cites Fast-fedul: A training-free federated unlearning with provable skew resilience.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Fast-fedul: A training-free federated unlearning with provable skew resilience

Reference 42

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This paper cites Eires: Efficient integration of remote data in event stream processing.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Eires: Efficient integration of remote data in event stream processing

Reference 43

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Observation 48f23d75-b02f-4440-9b85-938b65f6f414 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 44

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Observation 630ec2b1-10b3-4b3b-8697-abd80824d5aa · outbound

This paper cites SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning.

FINER-SQL: Boosting Small Language Models for Text-to-SQL SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Reference 45

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Observation 2f8a38bd-851a-4cf1-a6f3-c12113e7e33b · outbound

This paper cites Towards complex text-to-sql in cross-domain database with intermedi- ate representation.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Towards complex text-to-sql in cross-domain database with intermedi- ate representation

Reference 46

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Observation b9463f71-c3cb-4d90-a983-82d3934a572a · outbound

This paper cites SyntaxSQLNet: Syntax tree networks for complex and cross-domain text-to-SQL task.

FINER-SQL: Boosting Small Language Models for Text-to-SQL SyntaxSQLNet: Syntax tree networks for complex and cross-domain text-to-SQL task

Reference 47

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Observation 28b7e10f-97c7-4c47-9f9f-ed5908660512 · outbound

This paper cites Picard: Parsing incremen- tally for constrained auto-regressive decoding from language models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Picard: Parsing incremen- tally for constrained auto-regressive decoding from language models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.833041Z

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Observation 128d57e4-7b40-4c51-b307-a3301c8012f2 · outbound

This paper cites An evaluation of diversification techniques.

FINER-SQL: Boosting Small Language Models for Text-to-SQL An evaluation of diversification techniques

Reference 49

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Observation d948d41b-0234-4f42-bd97-7a61e1b5e8ca · outbound

This paper cites Factcatch: Incremental pay-as-you-go fact checking with minimal user effort.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Factcatch: Incremental pay-as-you-go fact checking with minimal user effort

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.838470Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27fead43-bdd6-4ade-a90c-d6c07da50729 · outbound

This paper cites Sql-palm: Improved large language model adaptation for text-to-sql.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Sql-palm: Improved large language model adaptation for text-to-sql

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.841489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4eae8f7e-5352-4304-a5f6-9713fe1b5f71 · outbound

This paper cites Din-sql: Decomposed in-context learning of text-to-sql with self-correction.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Din-sql: Decomposed in-context learning of text-to-sql with self-correction

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.844099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 44ae2bb9-5358-4f46-8775-84467a63fe43 · outbound

This paper cites On-device diagnostic recommendation with heterogeneous federated blocknets.

FINER-SQL: Boosting Small Language Models for Text-to-SQL On-device diagnostic recommendation with heterogeneous federated blocknets

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.846831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dd83f164-2fc1-45c4-bc5b-f499a0b294d4 · outbound

This paper cites Multilingual text-to-sql: Benchmarking the limits of language models with collaborative language agents.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Multilingual text-to-sql: Benchmarking the limits of language models with collaborative language agents

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.849392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5bcfcc91-7d96-4e46-8de1-273996582c87 · outbound

This paper cites Multi-task learning of heterogeneous hypergraph representations in lbsns.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Multi-task learning of heterogeneous hypergraph representations in lbsns

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.852038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dbd29103-41af-440e-956f-d5c00caa26db · outbound

This paper cites SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL.

FINER-SQL: Boosting Small Language Models for Text-to-SQL SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.365636Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e1fa3300-6ad3-4b50-9f7b-81ee6a325b90 · outbound

This paper cites Nature vs. nurture: Feature vs. structure for graph neural networks.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Nature vs. nurture: Feature vs. structure for graph neural networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.855346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7bb025c8-f105-48d4-a26f-b3e33f82deaa · outbound

This paper cites Learning holistic interactions in lbsns with high-order, dynamic, and multi-role contexts.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Learning holistic interactions in lbsns with high-order, dynamic, and multi-role contexts

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.858469Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b49c3240-cbfc-44af-99ef-b688633ce66d · outbound

This paper cites Network alignment with holistic embeddings.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Network alignment with holistic embeddings

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.861418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f2cd0d9-03cb-47c6-a109-f0994fbf99ce · outbound

This paper cites What-if analysis with conflicting goals: Rec- ommending data ranges for exploration.

FINER-SQL: Boosting Small Language Models for Text-to-SQL What-if analysis with conflicting goals: Rec- ommending data ranges for exploration

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.654823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f5924d2-fe5a-4d1b-9c5e-0a3cccb5c354 · outbound

This paper cites Diversifying group recommendation.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Diversifying group recommendation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.657544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8d0c3c44-c221-43b0-9bf6-c8837173e248 · outbound

This paper cites Answer validation for generic crowdsourcing tasks with minimal efforts.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Answer validation for generic crowdsourcing tasks with minimal efforts

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.660475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fdd0c651-cad6-4278-bd75-3293a68f14d2 · outbound

This paper cites Argument discovery via crowdsourcing.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Argument discovery via crowdsourcing

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.663559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69f8dc91-d61c-4539-94b9-76e44704146d · outbound

This paper cites Example-based explanations for streaming fraud detection on graphs.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Example-based explanations for streaming fraud detection on graphs

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.666501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7382b25-ea55-4913-9c3a-e24feca45b23 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Chain-of-thought prompting elicits reasoning in large language models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.669362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a7551d74-8151-462b-b37d-cd7f9df86ba9 · outbound

This paper cites The dawn of natural language to sql: Are we fully ready?.

FINER-SQL: Boosting Small Language Models for Text-to-SQL The dawn of natural language to sql: Are we fully ready?

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.672155Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a64ed54-801a-4b33-8b0f-85eef2bdbd82 · outbound

This paper cites KCIF: Knowledge-Conditioned Instruction Following.

FINER-SQL: Boosting Small Language Models for Text-to-SQL KCIF: Knowledge-Conditioned Instruction Following

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.369539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ced7a56-4152-4e5a-9321-70a42de5e07d · outbound

This paper cites InFoBench: Evaluating instruction following ability in large language models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL InFoBench: Evaluating instruction following ability in large language models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.675034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cfa7162-fb5b-41e0-8571-642f1289a3e9 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Instruction-Following Evaluation for Large Language Models

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-12T11:01:31.361053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a957598d-d9d9-47d0-88e9-acffe8f13392 · outbound

This paper cites Fine-tuning text-to- sql models with reinforcement-learning training objectives.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Fine-tuning text-to- sql models with reinforcement-learning training objectives

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.649307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ba46ea1a-aebf-41cd-8e0b-35f08eca3095 · outbound

This paper cites Let’s verify step by step.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Let’s verify step by step

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.677786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18338914-9e49-4e1c-9e32-abe39b3fb539 · outbound

This paper cites Self-rewarding language models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Self-rewarding language models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.728006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation adfc0ff9-a1ef-4cdb-8863-6c758ec09691 · outbound

This paper cites Autopsv: Automated process-supervised verifier.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Autopsv: Automated process-supervised verifier

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.766214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 390ca486-0bbb-46df-aea0-fc1159a516bb · outbound

This paper cites Math-shepherd: Verify and reinforce llms step-by-step without human annotations.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Math-shepherd: Verify and reinforce llms step-by-step without human annotations

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.680643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a51c674-ac21-4780-8a5a-abad55f34613 · outbound

This paper cites Alpha-sql: Zero-shot text-to-sql using monte carlo tree search.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Alpha-sql: Zero-shot text-to-sql using monte carlo tree search

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.683387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c413e0dd-18e3-493a-a8a9-44ae4d4b5159 · outbound

This paper cites Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:01:31.373185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f90dfc85-9804-4e3f-b848-2a2d27946752 · outbound

This paper cites Scaling text2sql via llm-efficient schema filtering with functional dependency graph rerankers.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Scaling text2sql via llm-efficient schema filtering with functional dependency graph rerankers

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.350360Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 527f0e54-34fa-413c-8071-5cc061c8f5b1 · outbound

This paper cites A comprehensive survey on vector database: Storage and retrieval technique, challenge.

FINER-SQL: Boosting Small Language Models for Text-to-SQL A comprehensive survey on vector database: Storage and retrieval technique, challenge

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.353874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9b1557f8-caa8-4989-9ac6-aa9bacb07a6f · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-05-12T11:01:31.357236Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27120b58-2ea6-4a25-a177-2b20bc4f40bd · outbound

This paper cites Billion-scale similarity search with gpus.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Billion-scale similarity search with gpus

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.686243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ad016e9c-8c4e-49e9-bf29-2a63ff737f5c · outbound

This paper cites Nl2sql-bugs: A benchmark for detecting semantic errors in nl2sql translation.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Nl2sql-bugs: A benchmark for detecting semantic errors in nl2sql translation

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.688897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18542810-b83b-4840-96d8-8e6101b17583 · outbound

This paper cites A comprehensive survey on heart sound analysis in the deep learning era.

FINER-SQL: Boosting Small Language Models for Text-to-SQL A comprehensive survey on heart sound analysis in the deep learning era

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.691464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3925799d-7d46-4b32-9206-a8e0e05385df · outbound

This paper cites A review of instruction-guided image editing.

FINER-SQL: Boosting Small Language Models for Text-to-SQL A review of instruction-guided image editing

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.694360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac15c198-2949-4b5c-97c5-3a057fae2c8e · outbound

This paper cites An extensible benchmark for value ambiguity resolution in text-to-sql.

FINER-SQL: Boosting Small Language Models for Text-to-SQL An extensible benchmark for value ambiguity resolution in text-to-sql

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.697583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc901a73-166a-43c2-84eb-9df28686f56b · outbound

This paper cites Certified unlearning for federated recommendation.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Certified unlearning for federated recommendation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.700398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4d45eb4-ed86-4a52-b0b1-b8b48fa2d3ab · outbound

This paper cites Pdc-frs: Privacy-preserving data contribution for federated recommender system.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Pdc-frs: Privacy-preserving data contribution for federated recommender system

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.703598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b1567ac-84fb-4401-bd6b-f8faab3d8ec1 · outbound

This paper cites Higher-order knowledge-enhanced recom- mendation with heterogeneous hypergraph multi-attention.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Higher-order knowledge-enhanced recom- mendation with heterogeneous hypergraph multi-attention

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.706901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 987e14f6-1a06-4b40-b53f-cf934dc05e18 · outbound

This paper cites OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale.

FINER-SQL: Boosting Small Language Models for Text-to-SQL OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:01:31.346966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a3131d4-29d9-4bd6-b90f-246964f050a4 · outbound

This paper cites Synthetic-Text-To-SQL: A synthetic dataset for training language models to generate sql queries from natural language prompts.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Synthetic-Text-To-SQL: A synthetic dataset for training language models to generate sql queries from natural language prompts

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.710023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 231ff95c-9e1f-4b70-a98f-c166b44e98a2 · outbound

This paper cites Din-sql: Decomposed in-context learning of text-to-sql with self-correction.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Din-sql: Decomposed in-context learning of text-to-sql with self-correction

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.712892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 010ef8e6-9b11-4170-be08-5bcb6c918f90 · outbound

This paper cites Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T11:01:31.376945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ad24bb4-694b-4368-9d16-25c486116930 · outbound

This paper cites MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.

FINER-SQL: Boosting Small Language Models for Text-to-SQL MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.410287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be054240-a350-4b35-b739-ee8391c3f339 · outbound

This paper cites Mcs-sql: Leveraging multiple prompts and multiple-choice selection for text-to-sql generation.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Mcs-sql: Leveraging multiple prompts and multiple-choice selection for text-to-sql generation

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.716145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b1f9325-1a0e-4117-bbe2-bee31e988b7f · outbound

This paper cites Sql-r1: Training natural language to sql reasoning model by reinforcement learning.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Sql-r1: Training natural language to sql reasoning model by reinforcement learning

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-12T11:01:31.343376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4199b4c-e0bd-4deb-8a2a-ac5ddfa94a93 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.719060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c654b33-f4e7-48cb-ab33-e280447924cb · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Efficient memory management for large language model serving with pagedattention

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.722157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 36efa1c1-1328-4bef-b43d-5f3e16ab3b79 · outbound

This paper cites Texygen: A benchmarking platform for text generation models.

FINER-SQL: Boosting Small Language Models for Text-to-SQL Texygen: A benchmarking platform for text generation models

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T12:24:03.724949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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