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Paper Citation Record · LEDGER

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2608.00485.

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

pith.paper-citation-record.v1
2608.00485 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:56:32.084048Z

measured 52 of 52 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

52 of 52 outbound references displayed

  • verified exact4
  • verified fuzzy24
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff53e97b-d256-4df6-9f44-c6b51f0075a2 · outbound

This paper cites 2018 , publisher =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2018 , publisher =

Reference 1

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unresolved
no resolver link, observed 2026-08-05T00:56:31.939811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.939811Z digest=sha256:db6106fc7044d46aa8552fac0608e1f0da5c5ad1511c4c6b8dc70c00621c6ce3

Observation aa88c064-16e6-48f6-ae82-610dbe3150cf · outbound

This paper cites an unresolved cited work.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-05T00:56:32.799885Z

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=arxiv_source observed=2026-08-05T00:56:31.944636Z digest=sha256:357a0a7e1a0de73d0f2d561fc8b5d9c42967fc9bb6e0ae6ee2a2dd87fc131414

Observation 0d57d28c-4a2a-4c9d-8f34-961b716f03c6 · outbound

This paper cites 2021 , publisher =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2021 , publisher =

Reference 3

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unresolved
no resolver link, observed 2026-08-05T00:56:31.947666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.947666Z digest=sha256:cd4fa10fea669209582aeca37b2d518383ecb1ee5fc25c07167c15483c5b84df

Observation 6ac5dd35-6c2d-4a34-bd5e-2d7a44ebb681 · outbound

This paper cites Text-to-.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Text-to-

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.791328Z

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=arxiv_source observed=2026-08-05T00:56:31.950676Z digest=sha256:d7b98739a077e8213f175074b05cbf88d067e498862b824c8e3c1a503ed38b2b

Observation 0472c74f-ba70-4835-bcaf-13671c58a56f · outbound

This paper cites 2023 , url =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2023 , url =

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.782519Z

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=arxiv_source observed=2026-08-05T00:56:31.953521Z digest=sha256:d2b117978d9f2f0dbed6b508fb70ca8c5a19681c19c88efa1e19a19e1366f7f5

Observation 36657c8b-4a64-486b-9edf-65663aba3e45 · outbound

This paper cites 2024 , url =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2024 , url =

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.773017Z

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=arxiv_source observed=2026-08-05T00:56:31.956428Z digest=sha256:37caf229fa12aec567b3fdf525b45ce8e395f0ad5efbf11244426b554f59cef8

Observation 65a69b7a-b8d3-43c7-84ba-0df8c81f0ee5 · outbound

This paper cites 2025 , url =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2025 , url =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.764080Z

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=arxiv_source observed=2026-08-05T00:56:31.959377Z digest=sha256:40259be419c0b059ca3f1e024cd031291faf7506ea361769beeb80a3962b908d

Observation b960e85d-8b94-4130-8009-01eb35fd2852 · outbound

This paper cites , journal =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning , journal =

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.755408Z

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=arxiv_source observed=2026-08-05T00:56:31.962005Z digest=sha256:3a573827c63674c738e523a6a6fd3897458a9b508b1bd4628748e12a7bb23f79

Observation a2672e5c-9feb-4c35-96b0-515e8d731024 · outbound

This paper cites A Preview of.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning A Preview of

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.746530Z

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=arxiv_source observed=2026-08-05T00:56:31.964659Z digest=sha256:b9515929b39215e536462fb5e5afcab8ed945858c6a051150d82f2e9082a589d

Observation e9231963-607d-4426-a996-a0ad1064d40b · outbound

This paper cites 2024 , doi =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2024 , doi =

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.737460Z

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=arxiv_source observed=2026-08-05T00:56:31.968241Z digest=sha256:9ba8ffb5a8e0438cb409fc780e24e920d7f18999d4f1e806225958382dfe93e2

Observation d4f1d9f4-bee6-4c53-8cef-29301c5b6d61 · outbound

This paper cites 2023 , url =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2023 , url =

Reference 11

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unresolved
no resolver link, observed 2026-08-05T00:56:31.970864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.970864Z digest=sha256:cfbd7580cf0022184f626a70937e9bca1b7d702db3cc7dc85f78165f833aca4c

Observation 2f0376ed-93fa-4d12-ab2f-44dc164a0e0f · outbound

This paper cites Proximal Policy Optimization Algorithms.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Proximal Policy Optimization Algorithms

Reference 12

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unresolved
no resolver link, observed 2026-08-05T00:56:31.973387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.973387Z digest=sha256:586475e8c2da4d4336aeaa92f4cecb6ffa8b9ea209697e36e75ce8a6e7b49888

Observation 4b766d53-f8f6-4df8-a0cb-73f0b412abfa · outbound

This paper cites an unresolved cited work.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Unresolved cited work

Reference 13

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unresolved
raw_fallback, observed 2026-08-05T00:56:32.721391Z

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=arxiv_source observed=2026-08-05T00:56:31.976508Z digest=sha256:cd1add79093f924960592f6181b9fed99df88fdcc409b56b1684fdbe663100b6

Observation efa4562b-a6ed-4054-8bb6-48fa8bb88e86 · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 14

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unresolved
no resolver link, observed 2026-08-05T00:56:31.979152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.979152Z digest=sha256:da3e89f3ef00a4c2e67ca2f4a5696a719798e9308421c998b0a8051e8a11f339

Observation 9b10f234-b738-4cd2-9c48-b124818777ce · outbound

This paper cites What and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning What and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents

Reference 15

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unresolved
no resolver link, observed 2026-08-05T00:56:31.982115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.982115Z digest=sha256:37aeb47e1918e5522b3c8c60b36e32cfc654b6b3f15d7275a3b29e0c51a5b987

Observation df95e762-c878-4d83-9241-65f3d4661ba1 · outbound

This paper cites Self-Distilled Agentic Reinforcement Learning.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Self-Distilled Agentic Reinforcement Learning

Reference 16

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unresolved
no resolver link, observed 2026-08-05T00:56:31.985182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.985182Z digest=sha256:1ea388c90179050c3a4abdaba4064becfdd3b37df565e399c0ec42e4fe21ec03

Observation 4d034ddb-c999-457f-a641-6eae6c22ce3c · outbound

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

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

Reference 17

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unresolved
no resolver link, observed 2026-08-05T00:56:31.988091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.988091Z digest=sha256:843bbb39fff495d4bc343e99e3039980a1fc86cbd8c1c67a3c5cbff8a87d61d7

Observation 231c861a-179c-4dc9-8621-3c7044cb0cd4 · outbound

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

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL

Reference 18

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unresolved
no resolver link, observed 2026-08-05T00:56:31.991687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.991687Z digest=sha256:603ddb56e03b954188b9e5c0e93eed99591b25eaa868071a71e585069a1086c9

Observation 78c4fa53-e446-4bad-a262-1071080c96b4 · outbound

This paper cites arXiv preprint arXiv:2509.24403 , year =.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning arXiv preprint arXiv:2509.24403 , year =

Reference 19

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unresolved
no resolver link, observed 2026-08-05T00:56:31.994954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.994954Z digest=sha256:92e68d68c5cca5148441d0de69e67935736787283ebb1b67e183e35f470cd022

Observation 1ae1429a-c5b6-401a-8a22-3a415d789c4e · outbound

This paper cites an unresolved cited work.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-05T00:56:31.997407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.997407Z digest=sha256:b0f0c457d08bc9ac39795ef078173cc762c988d3092865b05d27bbaebd8566fa

Observation 1a4e6d9c-ec2f-475f-9a63-ed7980fa0787 · outbound

This paper cites 2025 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2025 , eprint=

Reference 21

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unresolved
no resolver link, observed 2026-08-05T00:56:31.999968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:31.999968Z digest=sha256:05b010759ce8fb571e2bce5e88c91d76bce06e425a6334c18bb6250c7c1fbe56

Observation 5a70cdc9-3315-4663-9932-adc8bd8adc85 · outbound

This paper cites 2025 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2025 , eprint=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.706638Z

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=arxiv_source observed=2026-08-05T00:56:32.003069Z digest=sha256:3877bcdb330f37604f44396e5b96dac318733415901d21e8fbb9bf59eb357959

Observation 6b219d58-b970-43b0-8367-014edeacb492 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.697769Z

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=arxiv_source observed=2026-08-05T00:56:32.005806Z digest=sha256:ce7f8332d539c6f03987949d1725a3172564286fdcdd1764ddc924aa531b9d19

Observation f4f4a283-3b14-4f51-b793-2800cc0999f6 · outbound

This paper cites Reasoning-.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Reasoning-

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.689173Z

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=arxiv_source observed=2026-08-05T00:56:32.008320Z digest=sha256:eec3abe7007c7dc24dfa17421c24f35985a5a6ec27d846bec8c558785b2d1a9f

Observation de8cf4a8-108e-420f-894f-19127482ab05 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.680324Z

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=arxiv_source observed=2026-08-05T00:56:32.010851Z digest=sha256:40abe1f64e1285ce7f2ed64b5b094b3a8d6bc7349f983c8fd91e5e02523207c8

Observation 97f53886-8fd1-4337-a99a-fcc39d12fc20 · outbound

This paper cites an unresolved cited work.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Unresolved cited work

Reference 26

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unresolved
no resolver link, observed 2026-08-05T00:56:32.013902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.013902Z digest=sha256:93cfe9365883e3e1404c205fd839c4ca3665e72f5857a272d6d83870aa3dc628

Observation 8772f88c-3e9b-4bf6-bc01-947f6dd61fa5 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning The Twelfth International Conference on Learning Representations , year=

Reference 27

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unresolved
no resolver link, observed 2026-08-05T00:56:32.016461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.016461Z digest=sha256:b989bf9aec0aada0d38cfb96cc386d23d59ca398e76849779e7fe1eec181feba

Observation e2a1b0d1-6bb6-472f-ae2e-f6afac409c8a · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.665943Z

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=arxiv_source observed=2026-08-05T00:56:32.019212Z digest=sha256:3d98ddac79178dc1de5e75ba5efff48672120ce75900bc1d9ffef6a38f0b9dbd

Observation 4ba3e8aa-8559-493e-a6a6-3afcdcf2a885 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 29

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unresolved
no resolver link, observed 2026-08-05T00:56:32.021978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.021978Z digest=sha256:5ff839a374f9fe9d6f7819689fb83dee2f8bc340ab05fecd8ef9061a5e977b95

Observation 63517037-24c3-4f79-9bd4-728c8a2bbc0d · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.651156Z

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=arxiv_source observed=2026-08-05T00:56:32.024700Z digest=sha256:2862b1408ce458b0f2b665be55d9c1c08deac8aaffc033ac51bebbb5da9a0ccf

Observation 0d0d0582-f324-4ebf-8499-8bb2e722f544 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 31

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unresolved
no resolver link, observed 2026-08-05T00:56:32.027344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.027344Z digest=sha256:4905296e1f9d4a7f4191d293acaa55676f471d7a5b4bacc880778112e4f2e6c4

Observation 243235e8-fcf5-4e7d-93c6-2f69528c72a9 · outbound

This paper cites an unresolved cited work.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-05T00:56:32.029825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.029825Z digest=sha256:58248ed2b4b37cb9714c9a2f83b8cc7265b8ffa504be53b76fabf659106c74a3

Observation 8527a29f-f776-451e-910b-93b2a313cb35 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.636464Z

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=arxiv_source observed=2026-08-05T00:56:32.032613Z digest=sha256:33e379f718b724ccf7fad399c10c8000f00aa22da8a34a849f1b364243ebcd54

Observation acb4f291-cb35-439e-842a-271d700c6358 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.627710Z

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=arxiv_source observed=2026-08-05T00:56:32.035636Z digest=sha256:8211407ef53dc6185fcb35ea6988f8a6f6feacb78008d3ba1656478d0f8c2664

Observation 960ca7e5-55f2-4c34-975d-10675a700c00 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.618115Z

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=arxiv_source observed=2026-08-05T00:56:32.038347Z digest=sha256:fd6a2d4f598c4e66e316254ed97a2bcb89fcee669c33fd253753c833d907ef80

Observation 0695d778-059b-4632-a16e-022d6ee6dd97 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.609370Z

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=arxiv_source observed=2026-08-05T00:56:32.041135Z digest=sha256:1b16b015d4f08bad0b84a576df17f63dd88ae8527d1ca25b50a7358460135279

Observation dee845e2-786a-44ef-96c3-48cfc3be4b2b · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.600726Z

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=arxiv_source observed=2026-08-05T00:56:32.043995Z digest=sha256:a75661155ab03a14e1a7032d4c69aaf8ed2264963e67d255a2a8f74d85eaf2a7

Observation 27a93a9b-69e1-48ef-baac-3be4f3254663 · outbound

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

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T00:56:32.046749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.046749Z digest=sha256:1e96926c2a4a0010554c3bdd86abe5e60231c4f67b26f2028641a3211e0fdcec

Observation 91d420aa-3159-4138-a3d9-5bc7dbc85658 · outbound

This paper cites MTSQL -R1: Towards Long-Horizon Multi-Turn Text-to- SQL via Agentic Training.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning MTSQL -R1: Towards Long-Horizon Multi-Turn Text-to- SQL via Agentic Training

Reference 39

Resolution
verified exact
doi, observed 2026-08-05T00:56:32.148203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T00:08:11.879728+00:00.

source=arxiv_source observed=2026-08-05T00:56:32.049659Z digest=sha256:17512e782564f52c915f910de3cc0d14bee1f892077b78615361f16f833f3dc4

Observation b14cacc6-bd6b-46c8-b9d2-e037ffcea4cd · outbound

This paper cites R e E x- SQL : Reasoning with Execution-Aware Reinforcement Learning for Text-to- SQL.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning R e E x- SQL : Reasoning with Execution-Aware Reinforcement Learning for Text-to- SQL

Reference 40

Resolution
verified exact
doi, observed 2026-08-05T00:56:32.138966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T00:08:12.002229+00:00.

source=arxiv_source observed=2026-08-05T00:56:32.052382Z digest=sha256:98c66b6a5d4cb08b598f88d26d72b1b1877b8439fa613ce97d7a1b4706a71327

Observation e5bbad69-837f-4dcf-b82b-93c028890ce6 · outbound

This paper cites and Rangwala, Huzefa.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning and Rangwala, Huzefa

Reference 41

Resolution
verified exact
doi, observed 2026-08-05T00:56:32.129955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T00:08:12.117115+00:00.

source=arxiv_source observed=2026-08-05T00:56:32.055092Z digest=sha256:57e0b7e765f82c50aec03511aea6e3b2710c9c1e6105c8bb394739b655372149

Observation bf8f94a7-ddcc-4b4d-95e5-938d10c19e65 · outbound

This paper cites SQL - ASTRA : Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning SQL - ASTRA : Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation

Reference 42

Resolution
verified exact
doi, observed 2026-08-05T00:56:32.120376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T00:08:12.206362+00:00.

source=arxiv_source observed=2026-08-05T00:56:32.057907Z digest=sha256:cb83c0af46ba9d366c78297e917d51635f478a6ab4cd16495f4186f9b7c5cda7

Observation 1bf0477b-3212-49c6-86c3-87f45d619a1f · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.591980Z

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=arxiv_source observed=2026-08-05T00:56:32.060766Z digest=sha256:b0c02572dd41ad0aa1908573da588283764aefb40680d8113e0a2d86b93975cb

Observation ad8c823d-ee3f-4c2a-b085-b36ba09f0220 · outbound

This paper cites 2021 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2021 , eprint=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.583033Z

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=arxiv_source observed=2026-08-05T00:56:32.063543Z digest=sha256:f169dc9335d2f8a15576a3c22a9e11c88e86eb550e3dc116bb3efd3556d71866

Observation 18bc2ec1-be73-494b-a75c-880ed0c4a813 · outbound

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

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T00:56:32.066002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.066002Z digest=sha256:12c16a9d04b8ae441ad8de33cef0cb0f4949c937a32e8656221202035c877055

Observation 152213d8-e4a3-413c-9824-d2f66da1c832 · outbound

This paper cites 2024 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2024 , eprint=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T00:56:32.068572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.068572Z digest=sha256:e97f8ddc2d94b6ca93b4fb8d728c1e5ce001a1bd7daaaa3cce1a6d69f5957947

Observation bc1a6359-38cb-438e-95cd-32fbe638cdda · outbound

This paper cites ACM Comput.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning ACM Comput

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T00:56:32.071106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.071106Z digest=sha256:c04c88feb477f519a949719fd791bf9dcc40dad5d64ebcf67022b406841b729c

Observation 27b0be9e-ff7c-4f08-aeb3-90a9060f8ce1 · outbound

This paper cites 2025 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2025 , eprint=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T00:56:32.073773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:56:32.073773Z digest=sha256:40de2afd47e4ac4aba8b1a040c87d9a685ac6215723aae9d79a4be05eab50c9f

Observation d965291d-401c-4dbe-ac66-06a786ef8447 · outbound

This paper cites 2025 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2025 , eprint=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.557829Z

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=arxiv_source observed=2026-08-05T00:56:32.076343Z digest=sha256:cfbf6392b08040b44f9a662a3f2be31bf393435a96e0aabd7bd7348faaa2749d

Observation acbc2719-4b17-4b2d-9cf0-c00a974162d3 · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.549433Z

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=arxiv_source observed=2026-08-05T00:56:32.079063Z digest=sha256:3337ee38ef1edd3664d061a73404f1e08497237663ab3fe474645af8e4f0607a

Observation 1ec71369-2cff-480a-b113-2097a8e49a9c · outbound

This paper cites 2026 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2026 , eprint=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.540220Z

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=arxiv_source observed=2026-08-05T00:56:32.081613Z digest=sha256:2c49117a862fc146f1d0513422329058c1aadc6b083b85203d9866a9ca8c18f4

Observation 5c360083-6f5c-4590-83e6-d2a1c8b18f85 · outbound

This paper cites 2025 , eprint=.

SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning 2025 , eprint=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T00:56:32.531591Z

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=arxiv_source observed=2026-08-05T00:56:32.084048Z digest=sha256:b9a6e7d584b4b7a9eb3fdba7d22f1d89a0832e63abc844d10e55abce781eaefa

Pith citing papers

No inbound Pith citation observations are available.