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Paper Citation Record · LEDGER

RAISE: Reasoning Agent for Interactive SQL Exploration

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.01273.

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

pith.paper-citation-record.v1
2506.01273 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:51:17.770235Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cad6f462-f6a5-4dd6-b7eb-b5593c2cdcb4 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

RAISE: Reasoning Agent for Interactive SQL Exploration Advances in neural information processing systems33, 1877–1901 (2020)

Reference 1

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no resolver link, observed 2026-08-07T11:51:17.000310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.000310Z digest=sha256:07d6b4b5fc6f879b56ea40b2ed2b4392a7e394c27cf87089696f4321b8422701

Observation 1022be78-95c9-4975-abaa-d3ea0447c2c4 · outbound

This paper cites ArXiv (2023).

RAISE: Reasoning Agent for Interactive SQL Exploration ArXiv (2023)

Reference 2

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no resolver link, observed 2026-08-07T11:51:17.029139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.029139Z digest=sha256:41deeab24a02c5eda0da3155dee3933ac576ece3e0048a4a482301e1b92d58fb

Observation 2f010988-73f5-4f1b-a51d-c82c4fe1e19e · outbound

This paper cites Advances in neural information processing systems35, 24824–24837 (2022).

RAISE: Reasoning Agent for Interactive SQL Exploration Advances in neural information processing systems35, 24824–24837 (2022)

Reference 3

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unresolved
no resolver link, observed 2026-08-07T11:51:17.064287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.064287Z digest=sha256:1d6a9f32ccde735113949f8f63b18ff4c74a95703d443508aa9da35f3cc70a99

Observation ff65ca76-cfa6-4a8a-8a2b-b775067f5659 · outbound

This paper cites Natural Language Engineering1(1), 29–81 (1995).

RAISE: Reasoning Agent for Interactive SQL Exploration Natural Language Engineering1(1), 29–81 (1995)

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T11:51:18.533818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:51:17.100481Z digest=sha256:7f9f6c5dd502a47c5dc9e10ca9c3d8af141518a7296eba104865c36d73782dc6

Observation 4883396d-8faa-4ac5-9c55-f50bb62c98f1 · outbound

This paper cites an unresolved cited work.

RAISE: Reasoning Agent for Interactive SQL Exploration Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-08-07T11:51:18.463138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:51:17.135053Z digest=sha256:0baeea63a1f26fc87b08477a9fe0d05479f0b906bdc443552b96e518835d2580

Observation 2e04555d-9e23-4641-958d-1e6b6418a95e · outbound

This paper cites arXiv preprint.https://arxiv.org/abs/2408.05109.

RAISE: Reasoning Agent for Interactive SQL Exploration arXiv preprint.https://arxiv.org/abs/2408.05109

Reference 6

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unresolved
no resolver link, observed 2026-08-07T11:51:17.171182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.171182Z digest=sha256:783fe66511abba597266b9dda09b0e710a98a61f03f9c8c8b875b3b20db4e0b5

Observation 1162acb6-2ba9-41be-a8f2-4644f047bee3 · outbound

This paper cites an unresolved cited work.

RAISE: Reasoning Agent for Interactive SQL Exploration Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:51:18.390032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:51:17.204963Z digest=sha256:55738a042eaabd97b5879531a6dd309eedd28372647d83b9a3758e9320f0f310

Observation 5bbd6f7e-99f4-4e9c-a219-8126ddad310f · outbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 8

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no resolver link, observed 2026-08-07T11:51:17.240868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.240868Z digest=sha256:3d671e86cc78a688b27713cdff6bf756087828bd5ff1564ef8266349180b0d6f

Observation 1f1854a6-000e-4a53-ada1-839cdee4a230 · outbound

This paper cites arXiv preprint (2024).

RAISE: Reasoning Agent for Interactive SQL Exploration arXiv preprint (2024)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:51:18.322135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:51:17.276905Z digest=sha256:b735bd03f85e222b5d54d40e977f6f67a412e114a4d124884954c050dc401ee9

Observation a6387e8f-7d90-4825-b90e-2c8ef2d4d8c1 · outbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 10

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unresolved
no resolver link, observed 2026-08-07T11:51:17.312724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.312724Z digest=sha256:2c8393c097f1642aca6645dc6ff469999169e85ac10675aeab32fbabd585384d

Observation a74235c3-3be3-4f6e-a9c7-f890cf4944cf · outbound

This paper cites arXiv preprint https://arxiv.org/abs/2504.

RAISE: Reasoning Agent for Interactive SQL Exploration arXiv preprint https://arxiv.org/abs/2504

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T11:51:18.251316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:51:17.348524Z digest=sha256:dd25b5310c9b6014280048708b74986919556fccb4060dc847ce7c46abcaa79c

Observation 0c3f3aa9-d5ac-45c0-ab5c-6211dbcc97e1 · outbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration C3: Zero-shot Text-to-SQL with ChatGPT

Reference 12

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unresolved
no resolver link, observed 2026-08-07T11:51:17.382713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.382713Z digest=sha256:1e1183ccb22b31a79f3cebbcfb5e57adec0009f2096dac8ec3d61fcceb8b91b6

Observation 7d5ecf91-6943-46b6-b72a-ca8b5e9f9c5c · outbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 13

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unresolved
no resolver link, observed 2026-08-07T11:51:17.418441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.418441Z digest=sha256:048ac4e479f665f02fca40d40cba989650f038a41c2cdd79191dcab233daa8e3

Observation 64c3a736-5634-4733-9b99-ff9fe9c8935f · outbound

This paper cites OpenAI o1 System Card.

RAISE: Reasoning Agent for Interactive SQL Exploration OpenAI o1 System Card

Reference 14

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unresolved
no resolver link, observed 2026-08-07T11:51:17.452984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.452984Z digest=sha256:24d4aaddc8529a786a71e89c97f858299feea62ceb0a9cd109e21cb5530a9931

Observation 3ae0683b-7206-410f-8f31-ef0f62234a57 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

RAISE: Reasoning Agent for Interactive SQL Exploration Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 15

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no resolver link, observed 2026-08-07T11:51:17.488096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.488096Z digest=sha256:2a0fe0334d0d27ba4a5c9f244972c3117ac41a9db2e007a4741bb8d322f212e6

Observation 83fe245d-ce8e-4940-8ae4-bb01b450970d · outbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration RSL-SQL: Robust Schema Linking in Text-to-SQL Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:17.523357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.523357Z digest=sha256:45de8f0f814e11859e554101f5c02c52e18d7eb51d4574916da43fc231d252e5

Observation 8b7e2a67-77bc-4134-b3b7-20179288372c · outbound

This paper cites MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation.

RAISE: Reasoning Agent for Interactive SQL Exploration MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:51:17.559129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.559129Z digest=sha256:0eb0c2bb5f90eca10692afaa582cf0ef6bad96410111455753ea780978aaff16

Observation e8a074a0-42ac-4c85-b659-e7b0309999cd · outbound

This paper cites Advances in Neural Information Processing Systems36(2024).

RAISE: Reasoning Agent for Interactive SQL Exploration Advances in Neural Information Processing Systems36(2024)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:51:18.172245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:51:17.594053Z digest=sha256:096dec9c233aa20749b93d62d5f41e8f4edb8a32d035ccf4ff29ebb3ab1f78bd

Observation 3f993676-24c5-408d-a40b-b8ed7d896ae4 · outbound

This paper cites Advances in Neural Information Processing Systems36, 36339–36348 (2023).

RAISE: Reasoning Agent for Interactive SQL Exploration Advances in Neural Information Processing Systems36, 36339–36348 (2023)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:51:18.100942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:51:17.630530Z digest=sha256:79cdd4008baaff011c16c6b382dcb0cdcf847bfea5e669e91adb4ecc2465a7b0

Observation 31e6e07f-9123-4a87-a3e5-df257877c2e6 · outbound

This paper cites OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment.

RAISE: Reasoning Agent for Interactive SQL Exploration OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.666850Z digest=sha256:bc2399af7c753784f054f1784459eda1488831b0b3c920d84739b54f39cf8827

Observation 362f689c-cd02-4eab-a63a-8111ad51dc36 · outbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL

Reference 21

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unresolved
no resolver link, observed 2026-08-07T11:51:17.701873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.701873Z digest=sha256:63f17e2b0ce0aedb97c0171773d172893fa6bbb27804828b6da1b36fd7dfffd7

Observation 2963c2a6-848f-4c62-8fb2-7f2bde05ca4c · outbound

This paper cites In: Proceedings of the Twentieth Annual Symposium on Computational Geometry, pp.

RAISE: Reasoning Agent for Interactive SQL Exploration In: Proceedings of the Twentieth Annual Symposium on Computational Geometry, pp

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:51:18.031455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:51:17.737178Z digest=sha256:0e1a30eabc5f4c3be9956de9d8147c18a3f6ed205ba6f801bcaf4b4b8281126d

Observation eb89f38d-a276-495c-a1b3-7a80db26603c · outbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 23

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no resolver link, observed 2026-08-07T11:51:17.770235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.770235Z digest=sha256:1629a16311e0d8aa1ff0262e4833abcd00075b5deafc22a7c226664dde489f6f

Pith citing papers

No inbound Pith citation observations are available.