Pith. sign in

Paper Citation Record · LEDGER

Database Context Compression for Text-to-SQL on Real-World Large Databases

As of 6 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2606.28601.

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

pith.paper-citation-record.v1
2606.28601 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T00:49:34.390197Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

50 of 50 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91e8bc74-d231-4e27-afcb-215539560e87 · outbound

This paper cites Constructing an interactive natural language interface for relational databases,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Constructing an interactive natural language interface for relational databases,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:1913aa09e14a4846f9e36c8391ff146ac8e83592c7474853c8aa7e5b2bc97e86

Observation 780dc9d5-3776-44c9-8982-6bb3615170ca · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases SQLizer: Query synthesis from natural language,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:bfa630633224c268ea433c34bf6604dc3d62d45c4343a5beeb6bb783c9b0c78a

Observation 4850f2ad-65f8-4818-9d81-13fdeafd0435 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:ecdd232ca6479960d9ec69312e3d69a4f99c021c88d4f0cf9dbec30b7f812822

Observation 2d26e6bc-136e-4135-b564-be532e06991b · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases ATHENA: An ontology-driven system for natural language querying over relational data stores,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:a03feda1dfa82d6af830b6734473231f975fcc732ba189a002be0261f7f7fe43

Observation a34a984d-07e4-4130-b45e-70f41754e31c · outbound

This paper cites Bridging the semantic gap with SQL query logs in natural language interfaces to databases,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Bridging the semantic gap with SQL query logs in natural language interfaces to databases,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:70b3a62ed17949c7f1d17db1dfa82deea6558eceb1caa6c7aa29b02bdd12de76

Observation d1d11f59-3179-40f2-81fd-7e4c50232210 · outbound

This paper cites Duoquest: A dual-specification system for expressive SQL queries,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Duoquest: A dual-specification system for expressive SQL queries,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:961e775b5b7dc610d535fb7802fc05f942949684d5ef1a35b55e32784b22ea44

Observation 24d9620f-080c-4062-926f-fa8edd56d115 · outbound

This paper cites A survey of text-to-SQL in the era of LLMs: Where are we, and where are we going?.

Database Context Compression for Text-to-SQL on Real-World Large Databases A survey of text-to-SQL in the era of LLMs: Where are we, and where are we going?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:567f889cdf4d212cb6d01efd61a30f7992728d97c2c04f55fbab0a2b3e17f0e7

Observation a21037df-0141-4d19-8951-ff03e8e78fd9 · outbound

This paper cites Next-generation database interfaces: A survey of LLM-based text-to- SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Next-generation database interfaces: A survey of LLM-based text-to- SQL,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:2c2492be7a67d7be0cb664e498f0697d2429bca5afec561630ea2677cda26bf8

Observation 78750f65-33e1-43ba-9daa-3bae563d6e24 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:faa7f7cecb1c48caaf107e27335ca484bb1b6379384605e89b2349b8ee339e14

Observation 362b998d-2894-4535-b6e6-601586afba92 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases RESDSQL: Decoupling schema linking and skeleton parsing for text-to-SQL,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:acae2ea659eaa83d765023c93e2c03983cf4dc8766c6067c8af8e56c24c1d5b9

Observation 4a0b690c-6e63-466f-af6d-3015f80816b0 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases DIN-SQL: Decomposed in-context learning of text-to-SQL with self-correction,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:a688b78968b6eb15d8c222c0885792b1373cd11c0696a3bc50740cee0773dfb4

Observation aeb03176-fc89-41d2-bd94-543cc08eee5f · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-01T16:15:49.712524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:2c8a5dd01c36d1c87d29f31456ba930926e1b180be937180e5cd7a507507b307

Observation 9ca6933b-b595-4dd1-b492-5fd72118e72c · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.732671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:c4563366b84bbc17298f926b9146ccd0930b09190949849da2235c67435f285c

Observation 9ddd39e9-0656-425e-b350-1cd5bf9555b2 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases Text-to- SQL empowered by large language models: A benchmark evaluation,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:8b5dc0c87c84d52d8f3d412d9ca11dd31afe58b8c697d97b1ad9748f093ef324

Observation b0f1d53f-db35-4b7b-8354-ea6a1f675699 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases Can LLM already serve as a database interface? A big bench for large-scale database grounded text-to-SQLs,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:9f0d6693c8e95231c4f652a971d9b695134779c2a9cc8165aa7d2443d69d387a

Observation 3307d16a-6052-4930-ad9c-95b046699907 · outbound

This paper cites Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.

Database Context Compression for Text-to-SQL on Real-World Large Databases Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.706860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:a401fcf041ebe31bea4c65f6f80b7d5879fc502c8fdeb95444410ca6161bb56a

Observation b5859682-e745-423c-b76c-f57dd77c7794 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:8881709b6109bd17fce11143a4bcf29b187792d4d3e494c6487b090b2b26a613

Observation 4f2fdd9f-792f-4ccf-83c6-061fd08c775f · outbound

This paper cites RSL-SQL: Robust Schema Linking in Text-to-SQL Generation.

Database Context Compression for Text-to-SQL on Real-World Large Databases RSL-SQL: Robust Schema Linking in Text-to-SQL Generation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.729055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:c86da82054c323d0f072c34e09a98542ddffc8dbf08d85bba6444523bdef01c0

Observation 36b3bb43-10f8-4ab5-afdf-894fb1ba2d31 · outbound

This paper cites CRUSH4SQL: Collective retrieval using schema hallucination for Text2SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases CRUSH4SQL: Collective retrieval using schema hallucination for Text2SQL,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:3ddc31bcae08a8730be2e675f5be37162596cde67aafc18f98698350e0fae191

Observation 92f06c33-2c99-49a2-9ce8-396fc050be0b · outbound

This paper cites LinkAlign: Scalable schema linking for real-world large-scale multi-database text-to-SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases LinkAlign: Scalable schema linking for real-world large-scale multi-database text-to-SQL,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:ad0d4b214a09a20f1dbc75fc125b36adfc52e4fd44ec6bb4105c65ca3480ad51

Observation 48cb69c5-06f2-4670-bedc-3a99b012bc85 · outbound

This paper cites CodeS: Towards building open-source language models for text-to-SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases CodeS: Towards building open-source language models for text-to-SQL,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:81984db1d238f186c061ede7e918e0c0f89453740a3ec36f21e25eb2bba1cddb

Observation 30eb39d6-d681-441a-ad93-bcd2ceae0936 · outbound

This paper cites DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL.

Database Context Compression for Text-to-SQL on Real-World Large Databases DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.721912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:dea0a801cf1cff85956ce6e3f24c42d6c8eac965c8321a2d21711f977b8b2f37

Observation f3348170-c777-4d4c-abcf-0a3a0ec89d7c · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases ReFoRCE: A text-to-SQL agent with self-refinement, format restriction, and column exploration,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:2cb6d65a8091e273b117a7a2712b3dacd416861d1279b4bf813f23833ae42bb0

Observation 6c666406-0edc-4758-a899-23b67e5252cf · outbound

This paper cites MAC-SQL: A multi-agent collaborative framework for text-to- SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases MAC-SQL: A multi-agent collaborative framework for text-to- SQL,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:b2dbc7faa1993a57f12a704f532a4b02a16551300f6896984e282d65a6b3937f

Observation 5fe608d8-69a6-4540-b63e-d7d6a10d9276 · outbound

This paper cites AutoLink: Autonomous schema exploration and expansion for scalable schema linking in text-to-SQL at scale,.

Database Context Compression for Text-to-SQL on Real-World Large Databases AutoLink: Autonomous schema exploration and expansion for scalable schema linking in text-to-SQL at scale,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:876eb1249053c59479f25520691a27589c03a62057c8505e78d1d0c41d06f2d9

Observation d0e0e821-8b0f-4a41-805e-583a751a716d · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases LGESQL: Line graph enhanced text-to-SQL model with mixed local and non-local relations,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:f2417e664cf861eadd76593aac0eb7ed58297a51bf63e6168207f4c410c47b0d

Observation 004b21af-d5c3-4a96-b901-87e409bb6e99 · outbound

This paper cites GraPPa: Grammar-augmented pre-training for table semantic parsing,.

Database Context Compression for Text-to-SQL on Real-World Large Databases GraPPa: Grammar-augmented pre-training for table semantic parsing,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:a585daafe43b5356fdcdad2da102e91aa73ff22126c81b87b48a73a8d2f8f469

Observation 3a61a6ff-5677-4fbb-b218-2889caf991a1 · outbound

This paper cites Structure-grounded pretraining for text-to-SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Structure-grounded pretraining for text-to-SQL,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:ddb6dc927521d88fbb3986d4994910349058f97b42d81909b311b07ade52373f

Observation 3339752d-9e40-4c7a-b137-b6765175bd46 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases PICARD: Parsing in- crementally for constrained auto-regressive decoding from language models,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:e6a1489c20b1740847d437a3cec0fc725f1fb8a47a0ff3cb9a963c921659e7c9

Observation 17137af4-b9be-4b7f-bec2-7ab7055e0af1 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases To- wards complex text-to-SQL in cross-domain database with intermediate representation,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:c08b9db64608a2c7dca2f59141dee72dc5e4966af74463670a396480219d6289

Observation 56423578-ccbc-4565-aa1c-ac6ded99d0c5 · outbound

This paper cites C3: Zero-shot Text-to-SQL with ChatGPT.

Database Context Compression for Text-to-SQL on Real-World Large Databases C3: Zero-shot Text-to-SQL with ChatGPT

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:15:49.717087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:2ad3d6bd0f6683385a13a66855afe5f6c4602318a45482e1461e48e0eb6b9263

Observation b8aab300-6737-4589-a4a7-f7f4b901ddc5 · outbound

This paper cites ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought.

Database Context Compression for Text-to-SQL on Real-World Large Databases ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:49.735983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:447681f4e42917ec801115abf23c7b2313a85faf302541d1f572c3471da9f473

Observation 1a854930-e209-491c-987a-1abbda36f576 · outbound

This paper cites PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency.

Database Context Compression for Text-to-SQL on Real-World Large Databases PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:15:49.724862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:ece195be6615a610a2aabe8e8ff615fc8ce8fe91d4b16bd8fdb5cb900ba3ff07

Observation 66dd6fed-e35c-475d-9cb0-7a22e31eee51 · outbound

This paper cites PURPLE: Making a large language model a better SQL writer,.

Database Context Compression for Text-to-SQL on Real-World Large Databases PURPLE: Making a large language model a better SQL writer,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:f9c84bbb7bbf48726eb1d5f8a5bfbf83c81728c46b31b960db32d4845d958c14

Observation 6f903789-4f43-4100-bff1-1c196c8b9af6 · outbound

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

Database Context Compression for Text-to-SQL on Real-World Large Databases AID-SQL: Adaptive in-context learning of text-to-SQL with difficulty-aware instruction and retrieval-augmented generation,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:127bf18d1c8378319154d3fd3c3c079f4a3856594c6429bcdc1280fa789e4923

Observation b7dc0fc9-d94d-43cd-83b1-88c78ce486b2 · outbound

This paper cites Gar: A generate-and-rank approach for natural language to SQL translation,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Gar: A generate-and-rank approach for natural language to SQL translation,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:d560ac37560417a0e20414c5aae4b461f30c00162b1f94c672300453725130c9

Observation d1feeecd-393c-4b8c-a4af-fc1ccbbd9b01 · outbound

This paper cites Metasql: A generate-then-rank framework for natural language to SQL translation,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Metasql: A generate-then-rank framework for natural language to SQL translation,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:714b8aae3f70751a0c6974c6cf5829ac8a6b10269edc78f66160cc7b620688cb

Observation d5fadfaf-23fd-4998-9cce-85a6280709e7 · outbound

This paper cites An in-depth benchmarking of text-to-SQL systems,.

Database Context Compression for Text-to-SQL on Real-World Large Databases An in-depth benchmarking of text-to-SQL systems,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:5f61ff88cdafcdea75994e077d8fd74cfeb5c1ff727933e3977f6dc337b0a9e3

Observation 798049f5-6c5f-4028-9e4f-694ddd765782 · outbound

This paper cites Semantic enhanced text-to-SQL parsing via iteratively learning schema linking graph,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Semantic enhanced text-to-SQL parsing via iteratively learning schema linking graph,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:dabac9d25c2e6e5e6e4bda7d56647d432aef4e18392ea24af6215e126288b151

Observation 3360eb75-6507-4057-9246-bdf8f09e082c · outbound

This paper cites Schema matching using pre-trained language models,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Schema matching using pre-trained language models,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:d312a7321fc0e93e8e1a5de03ae8bd9aea0cd83677eaa68cc689555c6e6e9ce7

Observation cc660074-2bce-406f-ae41-b0a3d5d09015 · outbound

This paper cites CLEAR: A parser-independent disambiguation framework for NL2SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases CLEAR: A parser-independent disambiguation framework for NL2SQL,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:4ce269f09917948213af231412376991fab6caa9ca7c023404f769e6bd1790c0

Observation b7d2ece4-25f1-492d-8cf9-7dd4fff8b454 · outbound

This paper cites LLMLingua: Com- pressing prompts for accelerated inference of large language models,.

Database Context Compression for Text-to-SQL on Real-World Large Databases LLMLingua: Com- pressing prompts for accelerated inference of large language models,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:6ac98190799400688ad391d4749d8e3f413255dea0f87a005a1784e4f4cd3e87

Observation b59049d1-b310-4d3b-b635-af2e42f61495 · outbound

This paper cites Lost in the middle: How language models use long contexts,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Lost in the middle: How language models use long contexts,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:7a8aaf761e2db43088a02d82e71c2da9c5e15c9b2ad924ebfa80f91566c41e3d

Observation b6c6df0f-e199-456c-bb9e-9e899b08d266 · outbound

This paper cites Generating succinct descriptions of database schemata for cost-efficient prompting of large language models,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Generating succinct descriptions of database schemata for cost-efficient prompting of large language models,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:2fc50505c3637def37d54359f9157ee9828cfd21b4a30f5e32b5ac1b17e433f5

Observation 195a64f8-2cf4-4a74-b980-23f84532419d · outbound

This paper cites FinSQL: Model-agnostic LLMs-based text-to-SQL framework for financial analysis,.

Database Context Compression for Text-to-SQL on Real-World Large Databases FinSQL: Model-agnostic LLMs-based text-to-SQL framework for financial analysis,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:b82e0ee9e537d9e74b8b4f589a5180654a2e4bf4ba7f11b3cad7c16d278b3648

Observation 84e99177-03a3-41a0-ab42-6cf186aeabe8 · outbound

This paper cites Combining small language models and large language models for zero-shot NL2SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Combining small language models and large language models for zero-shot NL2SQL,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:2c48c1aa46b0823547b077e4fc30af19bc76cc2eb5c8b85d86a20b4e37062dff

Observation 602e8f1f-6c3e-436b-a1fe-67fc5c97697a · outbound

This paper cites Is long context all you need? Leveraging LLM’s extended context for NL2SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Is long context all you need? Leveraging LLM’s extended context for NL2SQL,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:b478f71d53dc048702fb2a0176b6304c101357948969a08413318b718050e29d

Observation 03cf9811-6aab-4222-a795-0d6786107e1f · outbound

This paper cites Robertson and H.

Database Context Compression for Text-to-SQL on Real-World Large Databases Robertson and H

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:5698aabe008d20eaa912bd763945537377b1c4210cd6776d50acf4fbfb6492c0

Observation ba81e288-f5fd-4139-99b6-11b366ef7945 · outbound

This paper cites Sentence-BERT: Sentence embeddings using Siamese BERT-networks,.

Database Context Compression for Text-to-SQL on Real-World Large Databases Sentence-BERT: Sentence embeddings using Siamese BERT-networks,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:4fbc8a3bde695266d054dd0d29b35c79e0d43231b660abeddb9b8227123a4005

Observation 7188d2fa-d783-47d9-ba79-7b60427a1c16 · outbound

This paper cites APEX-SQL: Talking to the data via agentic exploration for Text-to-SQL,.

Database Context Compression for Text-to-SQL on Real-World Large Databases APEX-SQL: Talking to the data via agentic exploration for Text-to-SQL,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-30T00:49:34.390197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:2aadc5132a04ad7ec70970be976e89603dff584bbe0219a2f5502f6c923ce15f

Pith citing papers

No inbound Pith citation observations are available.