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Paper Citation Record · LEDGER

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data

As of 9 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2603.07841.

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

pith.paper-citation-record.v1
2603.07841 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:39:41.316604Z

measured 76 of 76 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:41:51.078898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:44:48.313235Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved75
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 07c09ce4-982b-4bef-a060-fc8b724cc2a4 · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data The dawn of natural language to sql: Are we fully ready?

Reference 1

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source=pdf_text observed=2026-08-02T18:39:32.772734Z digest=sha256:69eb2e9ab71de5216a4824a52a116b801e11e724eb05c00511a97190ddfe2acf

Observation 1202f5a5-b513-4441-a755-f4b735421548 · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 2

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source=pdf_text observed=2026-08-02T18:39:32.867967Z digest=sha256:ebe864372979090eb3daf36996856e12b776dfacff05b6b3a1b970498bc2fcdd

Observation 5868c4c3-be93-41ea-8a32-1a41a3d0fc21 · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Reference 3

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source=pdf_text observed=2026-08-02T18:39:32.944351Z digest=sha256:3e8939cb8cb55af28849ca2a1dc4ee472a749835b3e41acb654e7a7eef6bbd1c

Observation 053f0928-804c-4789-afdd-86f19977e093 · outbound

This paper cites TypeSQL: Knowledge- based type-aware neural text-to-SQL generation,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data TypeSQL: Knowledge- based type-aware neural text-to-SQL generation,

Reference 4

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source=pdf_text observed=2026-08-02T18:39:32.998864Z digest=sha256:b0c84f78b10c1421cd082b7d389de8afc3ff0c6789e13546f1ba29be884e0490

Observation 6a3ed6f2-cf9a-4681-9b5a-3ca9455762b1 · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SyntaxSQLNet: Syntax tree networks for complex and cross-domain text-to-SQL task,

Reference 5

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source=pdf_text observed=2026-08-02T18:39:33.050050Z digest=sha256:b173f75002a48940cc93165a6abc8416b6b04e9ac13c48457e4a198f09713894

Observation 603d7bf0-b8c3-4215-82c9-c72515a00750 · outbound

This paper cites Editing-based SQL query generation for cross-domain context-dependent questions,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Editing-based SQL query generation for cross-domain context-dependent questions,

Reference 6

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source=pdf_text observed=2026-08-02T18:39:33.098760Z digest=sha256:7b193116427c43cb34768211ecab77704aed87ef57ccf21dcbb3784fa55706d2

Observation a8c5afc0-577b-472f-be76-1583aaddac24 · outbound

This paper cites To- wards complex text-to-SQL in cross-domain database with intermediate representation,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data To- wards complex text-to-SQL in cross-domain database with intermediate representation,

Reference 7

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source=pdf_text observed=2026-08-02T18:39:33.160243Z digest=sha256:7b742f29228cb50640051655f50865910c9bfed55568c02e28997200fb7ee250

Observation 63d33d8a-c4ce-4c8f-b355-408dfb6fa8c0 · outbound

This paper cites RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers,

Reference 8

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source=pdf_text observed=2026-08-02T18:39:33.217219Z digest=sha256:737807fa5d941b85a1a83c3136a2d94d877f08f3f16c7d587e862c1d5253fa92

Observation 5483ae2d-d2b0-48f9-a847-fba1c26e7770 · outbound

This paper cites Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing,

Reference 9

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source=pdf_text observed=2026-08-02T18:39:33.294166Z digest=sha256:d0a6902ad62ce260e29247a41b86c31744dbb0ffae73783791ca164ce600ac79

Observation e67b3f0d-9987-47c1-a053-2d15ffc4a1ed · outbound

This paper cites SmBoP: Semi-autoregressive bottom-up se- mantic parsing,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SmBoP: Semi-autoregressive bottom-up se- mantic parsing,

Reference 10

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source=pdf_text observed=2026-08-02T18:39:33.374273Z digest=sha256:68e9dbd6aac2f8e7194927789f42865b45b7cda9e230ef646b921457664481a4

Observation 6c6eecc1-1442-4979-9b45-8fc1f2b605c6 · outbound

This paper cites LGESQL: Line graph enhanced text-to-SQL model with mixed local and non-local relations,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data LGESQL: Line graph enhanced text-to-SQL model with mixed local and non-local relations,

Reference 11

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source=pdf_text observed=2026-08-02T18:39:33.456786Z digest=sha256:10432ba4bdb881848517a4ccde44d5bb7c461f948e226ae81b7f921ecdddeef6

Observation 6e64e266-c7ae-488e-a5ad-67ef8b772684 · outbound

This paper cites Gra{pp}a: Grammar-augmented pre-training for table semantic parsing,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Gra{pp}a: Grammar-augmented pre-training for table semantic parsing,

Reference 12

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source=pdf_text observed=2026-08-02T18:39:33.523021Z digest=sha256:e94b36555d1c55a81af99ca9371511ba4def86b1ba28bc44c66d54573aca4436

Observation bc6acdb3-3436-4304-b581-5eb6263cbacc · outbound

This paper cites PICARD: Parsing in- crementally for constrained auto-regressive decoding from language models,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data PICARD: Parsing in- crementally for constrained auto-regressive decoding from language models,

Reference 13

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source=pdf_text observed=2026-08-02T18:39:33.651687Z digest=sha256:ef6d82ecc412c9e9688c1cd614fe2ed062d6d5fd113c80e60d43138bbb3cfada

Observation fa427ed9-e335-4ba0-8296-596c755c7911 · outbound

This paper cites DIN-SQL: Decomposed in-context learning of text-to-SQL with self-correction,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data DIN-SQL: Decomposed in-context learning of text-to-SQL with self-correction,

Reference 14

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source=pdf_text observed=2026-08-02T18:39:33.710665Z digest=sha256:c060e755a2bac992011fdbd769113c1500b51542689bca89531a9554451ab299

Observation cb156028-2860-48d3-953a-beace5097580 · outbound

This paper cites Text- to-sql empowered by large language models: A benchmark evaluation,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Text- to-sql empowered by large language models: A benchmark evaluation,

Reference 15

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source=pdf_text observed=2026-08-02T18:39:33.823343Z digest=sha256:751e9521c8cf76e420d3908e926557ee6518c8da53f4c172a358f180214b8439

Observation 33605d56-34c6-43cd-84a7-722623f526fc · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 16

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source=pdf_text observed=2026-08-02T18:39:33.980750Z digest=sha256:4eaecefe414d48d725434639bc98cb5b3019007bde959ea93d6d8e4d608b4ddc

Observation 3be4cde5-3af2-4071-bbdc-8c5abf2fa770 · outbound

This paper cites How to answer secure and private SQL queries?.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data How to answer secure and private SQL queries?

Reference 17

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source=pdf_text observed=2026-08-02T18:39:34.206703Z digest=sha256:947dd961a27bb2b4853874b03896a119bf5b7f4a65b1b1528f946f2fdafc41a6

Observation 0c961342-6ffc-43c2-a003-773978bf40c3 · outbound

This paper cites Lampat: Low-rank adaption for multilingual paraphrasing using adversarial training,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Lampat: Low-rank adaption for multilingual paraphrasing using adversarial training,

Reference 18

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source=pdf_text observed=2026-08-02T18:39:34.377665Z digest=sha256:e257d9b01300973411c9962c61133d4e22922611d98e1d5b47053762b27dcc6e

Observation 174c535a-b878-43a1-9f29-bd1510addd95 · outbound

This paper cites UniBridge: A unified approach to cross- lingual transfer learning for low-resource languages,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data UniBridge: A unified approach to cross- lingual transfer learning for low-resource languages,

Reference 19

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source=pdf_text observed=2026-08-02T18:39:34.573043Z digest=sha256:6858fb5d8b57327efe3d27913bad2c521ed44811b2e17ab7f2549fbbac77c2d6

Observation bbb7d609-e10b-4877-9baf-585e8e99cb3b · outbound

This paper cites Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Resdsql: Decoupling schema linking and skeleton parsing for text-to-sql,

Reference 20

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source=pdf_text observed=2026-08-02T18:39:34.794936Z digest=sha256:b05292f363d24203ba3de7ff8ace0b108aa2014274240f744383117f16fe2ef8

Observation c7ddca6f-2705-4779-92d9-6f98f52a4be5 · outbound

This paper cites CHASE-SQL: Multi-path reasoning and preference optimized candidate selection in text-to-SQL,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data CHASE-SQL: Multi-path reasoning and preference optimized candidate selection in text-to-SQL,

Reference 21

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source=pdf_text observed=2026-08-02T18:39:34.990884Z digest=sha256:30807ac14d8257bf9de8f07bf3dd0613974060357602fd34c2eb5bf57108cbc9

Observation eb796730-4322-4aad-abb3-de06b9921841 · outbound

This paper cites Csc-sql: Corrective self-consistency in text-to- sql via reinforcement learning,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Csc-sql: Corrective self-consistency in text-to- sql via reinforcement learning,

Reference 22

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source=pdf_text observed=2026-08-02T18:39:35.157669Z digest=sha256:d7a6591ea23987b321e792714471f1b1424e756fd1716bf434c94c3e2efa75b0

Observation b747c33f-c27d-494a-bfbe-9a6a1ac39cde · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Alpha- SQL: Zero-shot text-to-SQL using monte carlo tree search,

Reference 23

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source=pdf_text observed=2026-08-02T18:39:35.279769Z digest=sha256:9c9e929aadb8f535dcfdbb6cc4bf4fb88e087621a177e4932aea99e104771518

Observation 26f9f3c9-47b2-41bd-83fc-a96ab2849cb9 · outbound

This paper cites Grounding natural language to SQL translation with data-based self-explanations,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Grounding natural language to SQL translation with data-based self-explanations,

Reference 24

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source=pdf_text observed=2026-08-02T18:39:35.456560Z digest=sha256:aa1414f608f32fbd1fe1e781824ee439f4436e42457c78dc7973ffecca824f80

Observation 54f25c97-e497-4180-b84a-32e10eda3419 · outbound

This paper cites Machine learning inference pipeline execution using pure SQL based on operator fusion,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Machine learning inference pipeline execution using pure SQL based on operator fusion,

Reference 25

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source=pdf_text observed=2026-08-02T18:39:35.514386Z digest=sha256:b7339b4dc580e723639afd85a48477150e75f86b8d726de0d135866063168839

Observation 31c1b549-2555-4703-b109-0040f18527e9 · outbound

This paper cites AID-SQL: adaptive in-context learning of text-to-sql with difficulty-aware instruction and retrieval-augmented generation,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data AID-SQL: adaptive in-context learning of text-to-sql with difficulty-aware instruction and retrieval-augmented generation,

Reference 26

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source=pdf_text observed=2026-08-02T18:39:35.559081Z digest=sha256:7c60170aa71a35d3cb28551ca43c37577972b570b13f2d9919aedb558b04d03f

Observation 67524ef4-8b66-41d1-84ca-7194472ad2cc · outbound

This paper cites AgenticData: An Agentic Data Analytics System for Heterogeneous Data.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data AgenticData: An Agentic Data Analytics System for Heterogeneous Data

Reference 27

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source=pdf_text observed=2026-08-02T18:39:35.581469Z digest=sha256:f5741b6ee6f199d844de1c135346a49ea30ea08fe5b46d41aa4aeae2259386b8

Observation e2f9b57f-24c7-4909-a810-69c1b2f139aa · outbound

This paper cites RefoRCE: A text-to-SQL agent with self-refinement, format restriction, and column exploration,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data RefoRCE: A text-to-SQL agent with self-refinement, format restriction, and column exploration,

Reference 28

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source=pdf_text observed=2026-08-02T18:39:35.633695Z digest=sha256:d282dbe79af055bdbd969ef57b9383705cc00810a0df7e6eb2b959f59c3ee442

Observation 121774b4-3f79-4479-89a3-f5f26cef49e7 · outbound

This paper cites Omnisql: Synthesizing high-quality text-to-sql data at scale,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Omnisql: Synthesizing high-quality text-to-sql data at scale,

Reference 29

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source=pdf_text observed=2026-08-02T18:39:35.676004Z digest=sha256:125c1a309868d0db4e9eb79e7a1aaecc76af4321e7297fd7f80cfc9e5460379d

Observation 1352d12a-e360-4bb3-a6eb-aec384ef2a3a · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Multilingual text-to-sql: Benchmarking the limits of language models with collaborative language agents,

Reference 30

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source=pdf_text observed=2026-08-02T18:39:35.712320Z digest=sha256:010f6c33906b42c97261f14fc05fd31a0a008c67ddbe6c98121512c36771582a

Observation b4a0172f-67e7-4559-8a45-b19469c740c5 · outbound

This paper cites Jacobsson.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Jacobsson

Reference 31

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source=pdf_text observed=2026-08-02T18:39:35.750068Z digest=sha256:cb6aac2f43513adcf5305978409e67fd23012a5d6825856c6ff7631c36768aef

Observation defd7372-2655-4e1d-a045-10838ce77d52 · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task,

Reference 32

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source=pdf_text observed=2026-08-02T18:39:35.942932Z digest=sha256:eebe5e2c42b8d6fd73eb579c97cc63cd5376b5e33581d1be76f661ce496f3c93

Observation 56d2c5a2-cff8-4bef-92ef-976d4ddb288a · outbound

This paper cites Sparc: Cross-domain semantic parsing in context,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Sparc: Cross-domain semantic parsing in context,

Reference 33

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source=pdf_text observed=2026-08-02T18:39:36.034626Z digest=sha256:4297c3126671ed2955a5f560fd8ccd208298d263bbc112a899b20a7a2bbdbe7a

Observation c346af49-7ab6-41ae-a6cd-138a4f66d945 · outbound

This paper cites Cosql: A conversational text- to-sql challenge towards cross-domain natural language interfaces to databases,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Cosql: A conversational text- to-sql challenge towards cross-domain natural language interfaces to databases,

Reference 34

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source=pdf_text observed=2026-08-02T18:39:36.150832Z digest=sha256:7072e708e2c5536718a0f79cdba3ccb253d864d7b4eecbcd5c477d95184d445b

Observation 57507061-049e-4f4e-a349-fb1d2965d2b5 · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls,

Reference 35

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source=pdf_text observed=2026-08-02T18:39:36.251162Z digest=sha256:0f4b7f4f75f2a669e340bed9d65ba397c481d366296e01ce7c34977d347b6923

Observation 21cd6d72-90d3-4283-be8c-57e1e4a4e407 · outbound

This paper cites Spider 2.0: Evaluating language models on real-world enterprise text-to-SQL workflows,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Spider 2.0: Evaluating language models on real-world enterprise text-to-SQL workflows,

Reference 36

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source=pdf_text observed=2026-08-02T18:39:36.394214Z digest=sha256:69d68e739a1e98795a75e0613d2113050968441dd4a62ec5479eb2912f744124

Observation 86ef3cd9-2a91-4573-bcef-c3b50c424c36 · outbound

This paper cites Estimating large language model capabilities without labeled test data,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Estimating large language model capabilities without labeled test data,

Reference 37

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Observation 29e1475a-ee9e-433c-a47d-abcb34e28861 · outbound

This paper cites SelfCheckGPT: Zero-resource black-box hallucination detection for generative large language models,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SelfCheckGPT: Zero-resource black-box hallucination detection for generative large language models,

Reference 38

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source=pdf_text observed=2026-08-02T18:39:36.627540Z digest=sha256:f7ac6882e74ffef33a1faf403300f5eb664639c6a086ab5ba738c9a3028d915c

Observation 21fe3fb7-7e63-419c-9f5a-faf40d2e45cf · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Detecting hallucinations in large language models using semantic entropy,

Reference 39

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source=pdf_text observed=2026-08-02T18:39:36.764186Z digest=sha256:4ef802aabe70f759996d1a26c596f1592ec58ddc3b51afcc1f32b5343c7e8b5b

Observation 88eaec25-07a0-4c4f-bd39-50cc85d7f8f2 · outbound

This paper cites Autoeval done right: Using synthetic data for model evaluation,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Autoeval done right: Using synthetic data for model evaluation,

Reference 40

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Observation 7ed38252-97df-4c6e-88e4-fc3d69d03288 · outbound

This paper cites Prediction-powered inference,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Prediction-powered inference,

Reference 41

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source=pdf_text observed=2026-08-02T18:39:36.974271Z digest=sha256:e8ae90a7e07034551d75742249f15bf6f197359d1b0385d7bfb482f1d1fcdd57

Observation eedf78a3-1d9a-46ff-927c-1f5617f21569 · outbound

This paper cites Leveraging unlabeled data to predict out-of-distribution performance,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Leveraging unlabeled data to predict out-of-distribution performance,

Reference 42

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Observation 51a253a6-f856-4dd0-9500-d3c3d80af3fc · outbound

This paper cites Predicting with confidence on unseen distributions,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Predicting with confidence on unseen distributions,

Reference 43

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source=pdf_text observed=2026-08-02T18:39:37.298968Z digest=sha256:b47be46aea1589fcd05759edf5df6986564249f619927665347b232787d2f478

Observation c4c13444-028a-4b66-ac6d-9dd182b92cf0 · outbound

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

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Nl2sql-bugs: A benchmark for detecting semantic errors in nl2sql translation,

Reference 44

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source=pdf_text observed=2026-08-02T18:39:37.464847Z digest=sha256:b4c87e4e12e602c5060675feb518510456623184c62f3153fe787742e31bc3d8

Observation 3cc1b5db-bc06-4510-98af-a94614e765a3 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 45

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source=pdf_text observed=2026-08-02T18:39:37.578381Z digest=sha256:39c5f0ce99b27eebcae4fcc1fbcc20ea73f051eee0928e378ea4111609c69e45

Observation d2514b1a-2d95-4555-bbb1-334724510e0d · outbound

This paper cites TabLib: A Dataset of 627M Tables with Context.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data TabLib: A Dataset of 627M Tables with Context

Reference 46

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source=pdf_text observed=2026-08-02T18:39:37.752511Z digest=sha256:414d618236b1fd34384bc4a384de5eb3f5d51485174fb560f88db01c4166cfc6

Observation 1ae63f45-aa34-40b3-8499-48e3e4cc0dff · outbound

This paper cites KaggleDBQA: Realistic evaluation of text-to-SQL parsers,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data KaggleDBQA: Realistic evaluation of text-to-SQL parsers,

Reference 47

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source=pdf_text observed=2026-08-02T18:39:37.866666Z digest=sha256:04289ce88311cf2b79d4df98e23bc457571e93f6fb8071e279e22b3ffa174b51

Observation f368c44a-56e0-4681-af13-233cbc86859a · outbound

This paper cites SQLForge: Synthesizing reliable and diverse data to enhance text-to-SQL reasoning in LLMs,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SQLForge: Synthesizing reliable and diverse data to enhance text-to-SQL reasoning in LLMs,

Reference 48

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source=pdf_text observed=2026-08-02T18:39:38.074736Z digest=sha256:8b6c828176f45c8f71044d7ebadb3f63224f0d75322cd4dbf54e6b270a181910

Observation 5e44003d-2fc6-4ada-80da-af2393913983 · outbound

This paper cites Parsql: Enhancing text-to-sql through sql parsing and reasoning,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Parsql: Enhancing text-to-sql through sql parsing and reasoning,

Reference 49

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Observation e3d32f0a-1096-46af-bd20-229b998d3fb6 · outbound

This paper cites Llm-based data synthesis and distillation for high-quality text-to-sql training,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Llm-based data synthesis and distillation for high-quality text-to-sql training,

Reference 50

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source=pdf_text observed=2026-08-02T18:39:38.265359Z digest=sha256:bcc024069c15db90b788f65d085dadfed32775f7c7d54f4440364c3304536d26

Observation edb8f102-cb51-4a0e-a707-fdf10814e889 · outbound

This paper cites On efficient multilevel clustering via wasserstein distances,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data On efficient multilevel clustering via wasserstein distances,

Reference 51

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source=pdf_text observed=2026-08-02T18:39:38.389062Z digest=sha256:c5b422ca524d4af6bb6207b7624f66b2728acbe88e773fb5c1c9ed46a7aafdfc

Observation a40b8eae-a486-4fa1-87e9-68715e6489b5 · outbound

This paper cites Probabilistic multilevel clustering via composite transportation distance.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Probabilistic multilevel clustering via composite transportation distance

Reference 52

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source=pdf_text observed=2026-08-02T18:39:38.500617Z digest=sha256:d3ebe44a190ab84efb836b3194c1184cd4d05d7ddfdd89d3fbf0c4f048e8c50e

Observation ca32dfa6-9f6c-4137-a3a7-19a6a5003156 · outbound

This paper cites Multilevel clustering via Wasserstein means,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Multilevel clustering via Wasserstein means,

Reference 53

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source=pdf_text observed=2026-08-02T18:39:38.628808Z digest=sha256:240d03638e890fda375e4e481ad9f28c132b59ed3e5e7369a5629ed7817ba770

Observation be4814e1-2d51-4d2e-bb90-42456b69fcf6 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data On First-Order Meta-Learning Algorithms

Reference 54

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source=pdf_text observed=2026-08-02T18:39:38.741630Z digest=sha256:dc17795a0b9efb4ff8bf491ace6778e86579d8481f89da1e046caf57827a3bf1

Observation 8b97b553-fb54-4c32-99f7-df8ff924d86c · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 55

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Observation c7970e95-45bc-4d88-9193-2d11e28351c6 · outbound

This paper cites Sciencebenchmark: A complex real-world bench- mark for evaluating natural language to sql systems,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Sciencebenchmark: A complex real-world bench- mark for evaluating natural language to sql systems,

Reference 56

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source=pdf_text observed=2026-08-02T18:39:39.041515Z digest=sha256:4d04e148a61e054feb85d442be3f8847bdf95f0d512e0a6b308e63650e284109

Observation dd7e1ca1-746a-40e7-9706-067f814ff1f0 · outbound

This paper cites Ehrsql: A practical text-to-sql benchmark for electronic health records,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Ehrsql: A practical text-to-sql benchmark for electronic health records,

Reference 57

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source=pdf_text observed=2026-08-02T18:39:39.212724Z digest=sha256:549edabe48363674766c9a433c5b57554393164f4b8839f4d02f62d750335298

Observation 2f4076ad-b182-4b36-9aec-fabba04ff503 · outbound

This paper cites Gnnevaluator: Evaluating gnn performance on unseen graphs without labels,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Gnnevaluator: Evaluating gnn performance on unseen graphs without labels,

Reference 58

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source=pdf_text observed=2026-08-02T18:39:39.351031Z digest=sha256:be14bed1f561fa2849cd67c2b82dec05064678754824f7abdfd7968c38551d97

Observation e7e41c0b-c141-4d9b-8ba1-f7d0dd35c866 · outbound

This paper cites Qwen3 Technical Report.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Qwen3 Technical Report

Reference 59

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source=pdf_text observed=2026-08-02T18:39:39.486993Z digest=sha256:b5751aafd282e464b88262c28d82f7814a86ff4ecca00b60c44a8f3e7e98d59f

Observation c4b2a521-22dd-41e9-acbb-5c789ccf1fdf · outbound

This paper cites The Llama 3 Herd of Models.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data The Llama 3 Herd of Models

Reference 60

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source=pdf_text observed=2026-08-02T18:39:39.629407Z digest=sha256:4af1eb0a5e5eb23f05ef0b269a9041124898357fbb1feeb41ca54f5857c80b67

Observation 9cd006b4-5232-4fdf-8309-b19ca0c5761c · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 61

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source=pdf_text observed=2026-08-02T18:39:39.779694Z digest=sha256:ee40e2042e6f74f4cf7f3cdfb3dc45b66d0f478b7418c1e6c11d2f3a4d208c7a

Observation c7ec1c35-9416-417b-b4f0-8e3989709c86 · outbound

This paper cites XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL

Reference 62

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source=pdf_text observed=2026-08-02T18:39:39.910501Z digest=sha256:183217118c0faab36162cac71fa676453e0a002b1a18d1123ba28210b2e6d75a

Observation 080feb71-0879-4012-8ea0-e2554a78c33c · outbound

This paper cites Mixtral of Experts.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Mixtral of Experts

Reference 63

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source=pdf_text observed=2026-08-02T18:39:40.015940Z digest=sha256:26cf008eac23283c77923a82f1899e13c3eb5c8130d400bfa22fba13001ba0b4

Observation e38cf667-42c9-4733-b827-d74440dfdf21 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data StarCoder 2 and The Stack v2: The Next Generation

Reference 64

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source=pdf_text observed=2026-08-02T18:39:40.135720Z digest=sha256:506beb975b59ca3098fa6a3504aa5d76c402bd17abaa4f69a70a03b20cc302a0

Observation bae73236-909d-4514-9723-c1ac006363fe · outbound

This paper cites Code Llama: Open Foundation Models for Code.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Code Llama: Open Foundation Models for Code

Reference 65

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source=pdf_text observed=2026-08-02T18:39:40.301809Z digest=sha256:ea75d45152e74fbecbb3605edff5aecef2f2a3ad2172f5f7fdaf9f5ee11f4daa

Observation 3dc6bec4-1961-4b05-a68c-95ab1a27c922 · outbound

This paper cites Phi-4 Technical Report.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Phi-4 Technical Report

Reference 66

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source=pdf_text observed=2026-08-02T18:39:40.396982Z digest=sha256:b4654b456a42abfd9e69ff895729ce457d49169fbd059e70211985c3f699d590

Observation ec65b310-3481-4cda-9105-86f82b30e10e · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Yi: Open Foundation Models by 01.AI

Reference 67

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source=pdf_text observed=2026-08-02T18:39:40.460834Z digest=sha256:725b2a36fc2ef7433bd4e4f6d959e81d31dc1c7108f5473eef28ce21611df159

Observation d8a5dafb-ffb8-4204-8603-683f5278236a · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Gemma: Open Models Based on Gemini Research and Technology

Reference 68

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source=pdf_text observed=2026-08-02T18:39:40.550882Z digest=sha256:4d8856e50c31228d54cec75edae58f0e655b3b906e61a0beeec3fe230ed745af

Observation 8a1ffac9-03c3-4bcb-a9ef-a128db973ed6 · outbound

This paper cites InternLM2 Technical Report.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data InternLM2 Technical Report

Reference 69

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source=pdf_text observed=2026-08-02T18:39:40.626602Z digest=sha256:b482ae90120a49d4238407ab71cfa3a41485b4c5839acb5fbd90197493b0731e

Observation d8badaba-c093-444d-9291-198d138c5417 · outbound

This paper cites Athena: An ontology-driven system for natural language querying over relational data stores,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Athena: An ontology-driven system for natural language querying over relational data stores,

Reference 70

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source=pdf_text observed=2026-08-02T18:39:40.743753Z digest=sha256:0c85a70aac71a48ee21103a1e62f4e6954fe52ba6717e886fdd204b5666fa75a

Observation 918ba1f7-c3c9-4242-85c7-3578a0f9d692 · outbound

This paper cites Athena++: Natural language querying for complex nested SQL queries,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Athena++: Natural language querying for complex nested SQL queries,

Reference 71

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source=pdf_text observed=2026-08-02T18:39:40.829518Z digest=sha256:92803fa81845405c2b21d6765eb438cf7b98715d479f169c70fdac8c414b5a24

Observation 8818f91e-d9f4-4ce9-a2a7-2dc1db62b9b0 · outbound

This paper cites Sqlizer: Query synthesis from natural language,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Sqlizer: Query synthesis from natural language,

Reference 72

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source=pdf_text observed=2026-08-02T18:39:40.986312Z digest=sha256:e55e6f0064f4ee4e3143f630284b4db4014c701c53b2f5b41ece7437a3ebc93d

Observation bc813c4b-c735-4c9f-8ec4-b0729db6adcb · outbound

This paper cites Don’t judge a language model by its last layer: Contrastive learning with layer-wise attention pooling,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data Don’t judge a language model by its last layer: Contrastive learning with layer-wise attention pooling,

Reference 73

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source=pdf_text observed=2026-08-02T18:39:41.181757Z digest=sha256:d649f71a29042dd3cbbdbcd09e3de1eee79bedce4aa8fec860774fe207df30c3

Observation ad370d68-563f-4864-8248-cc0de690fa17 · outbound

This paper cites SimCSE: Simple contrastive learning of sentence embeddings,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data SimCSE: Simple contrastive learning of sentence embeddings,

Reference 74

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Source-reported events for the cited work

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Observation 70f0140f-6c74-49d6-b7df-ab574caa9630 · outbound

This paper cites PromptBERT: Improving BERT sentence embeddings with prompts,.

An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data PromptBERT: Improving BERT sentence embeddings with prompts,

Reference 75

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unresolved
no resolver link, observed 2026-08-02T18:39:41.316604Z

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Pith citing papers

Observation 0ea25dba-179d-4405-a524-fadfde9fb543 · inbound

Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning cites this paper.

Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning An Efficient and Effective Evaluator for Text2SQL Models on Unseen and Unlabeled Data

Reference 41

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arxiv_id, observed 2026-07-28T02:22:28.563646Z

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