Pith. sign in

Paper Citation Record · LEDGER

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2205.06983.

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

pith.paper-citation-record.v1
2205.06983 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:44:03.998857Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:24:22.930490Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa61eff3-04cc-4f8a-b7cf-ff1eef62ff0c · inbound

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

CHESS: Contextual Harnessing for Efficient SQL Synthesis RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:24:22.933990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-19T11:24:22.789901Z digest=sha256:c457858c50aa28b5e42cf49d56b833651c63483b575234f2fe57146dee01702c

Observation 6c553394-e347-41fd-8a7f-91479b6347f4 · inbound

Towards Automatic Evaluation of Task-Oriented Dialogue Flows cites this paper.

Towards Automatic Evaluation of Task-Oriented Dialogue Flows RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T19:44:03.998857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:44:03.998857Z digest=sha256:b5e776e0593fb458ad7a6bc82e58c39322852f8315505f8154ff10236293faa4

Observation 068de9f1-6f4a-44ec-914f-3bee49bd2907 · inbound

A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges cites this paper.

A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T20:52:21.989676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:52:21.989676Z digest=sha256:1551589b2c7694731d329629c06187c871a26b8c08393f5404352ad154945639

Observation 7641527f-f08e-4d3b-bbe9-21ad16ebaa32 · inbound

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking cites this paper.

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T20:39:47.205346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:39:47.205346Z digest=sha256:4ead30406dcac8737fd2e189607afef9d76060cd08336036cd37e6a6889e62ab

Observation 9dbc0f61-464d-4468-a1e5-e9875db7a564 · inbound

StreamLink: Large-Language-Model Driven Distributed Data Engineering System cites this paper.

StreamLink: Large-Language-Model Driven Distributed Data Engineering System RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:51:56.951585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:51:56.951585Z digest=sha256:f7e92c14e10bca01bf756731745d83e4e91bbd2d357639934d894b00239f7919