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Paper Citation Record · LEDGER

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation

As of 5 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2604.13045.

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

pith.paper-citation-record.v1
2604.13045 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T13:16:49.107656Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

38 of 38 outbound references displayed

  • verified exact23
  • verified fuzzy2
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9e197b3-3ce4-47ed-bd0f-f68a0ba9d7e8 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-05-15T13:20:50.674952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 247e4446-99e8-49f5-9a72-1628a35c8870 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 2

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raw_fallback, observed 2026-05-15T13:20:50.686172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ce49d111-8b08-4744-8ca5-3ddde97f16c1 · outbound

This paper cites author Tomar, T.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation author Tomar, T

Reference 3

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doi, observed 2026-05-15T13:20:01.387153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1795f827-14d4-4714-afbc-6a929242fbfc · outbound

This paper cites Concept Drift Detection from Multi-Class Imbalanced Data Streams , year =.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Concept Drift Detection from Multi-Class Imbalanced Data Streams , year =

Reference 4

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arxiv_id, observed 2026-05-15T13:20:01.383397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d515d7cc-2d10-4ecd-b10d-5398db85108d · outbound

This paper cites ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL

Reference 5

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arxiv_id, observed 2026-05-15T13:20:02.232960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:6dc90390e2883e2eca2dbbbc4e275c0bef79ac9cdf2c1ae40fbecb1af3c59e87

Observation 8ddb43fa-96d2-4e87-b25b-0fdbd8d7f1ed · outbound

This paper cites Structure-Grounded Pretraining for Text-to- SQL.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Structure-Grounded Pretraining for Text-to- SQL

Reference 6

Resolution
verified exact
doi, observed 2026-05-15T13:20:01.371517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b8adbb89-4f1d-461f-955c-9a3d9bd5d512 · outbound

This paper cites Huerta, and Hao Peng.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Huerta, and Hao Peng

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-15T13:20:50.681720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6024748f-376a-482f-8291-78edfed4b3ee · outbound

This paper cites A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 8

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arxiv_id, observed 2026-05-15T13:20:02.232612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b2f69692-c563-4347-b02f-85757a04ca71 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 9

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verified exact
doi, observed 2026-05-15T13:20:01.389978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e596a338-9e71-48ef-854f-98f047d24ac4 · outbound

This paper cites Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL

Reference 10

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arxiv_id, observed 2026-05-15T13:20:02.263965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1fe222f6-da61-4775-8e5f-8b6c623d18c0 · outbound

This paper cites Re-examining the Role of Schema Linking in Text-to- SQL.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Re-examining the Role of Schema Linking in Text-to- SQL

Reference 11

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doi, observed 2026-05-15T13:20:01.392847Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 8369c4c9-d4af-400b-9ce4-4a4124380bb2 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 12

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raw_fallback, observed 2026-05-15T13:20:50.679526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:24487d425e07c590642240bbfbb60abca25e19e748e705e726114aa3832a1569

Observation e4b81785-43e2-4643-ba49-880fce386d3b · outbound

This paper cites Small models struggle to learn from strong reasoners.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Small models struggle to learn from strong reasoners

Reference 13

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arxiv_id, observed 2026-05-15T13:20:02.269944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d54f4498-ea32-46c7-9153-c535a28408fe · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 14

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doi, observed 2026-05-15T13:20:01.358991Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4b7e10ee-2392-4d8f-bc52-5c67188566a4 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 15

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arxiv_id, observed 2026-05-15T13:20:01.363553Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 297bb345-0e1c-4662-941f-756c9d76f1d9 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 16

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arxiv_id, observed 2026-05-15T13:20:02.249286Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4be4c76d-3551-4d53-8244-aedbd8c76298 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 17

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raw_fallback, observed 2026-05-15T13:20:50.693095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation eb7384bf-2ee2-4cd8-8a50-8b8a0b6720f8 · outbound

This paper cites Through the valley: Path to effective long C o T training for small language models.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Through the valley: Path to effective long C o T training for small language models

Reference 18

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation b22931ad-8537-4094-9b37-f156348f136b · outbound

This paper cites Sql-r1: Training natural language to sql reasoning model by reinforcement learning.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Sql-r1: Training natural language to sql reasoning model by reinforcement learning

Reference 19

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arxiv_id, observed 2026-05-15T13:20:02.244175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 11a8d2cc-6593-4a80-a76f-1897dd0bb4da · outbound

This paper cites The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation The Death of Schema Linking? Text-to-SQL in the Age of Well-Reasoned Language Models

Reference 20

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arxiv_id, observed 2026-05-15T13:20:02.254611Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation aa685d90-01a4-43ae-8365-777d2b4f0917 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 21

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Observation d921c2bf-7761-440c-8b70-f4cd9a588ba6 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 22

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raw_fallback, observed 2026-05-15T13:20:50.695717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e0e8feeb-fd0d-4565-9947-e7986928833c · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

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local_arxiv, observed 2026-05-15T13:20:02.282950Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4fe31301-a159-4d24-b44a-131caff6b15e · outbound

This paper cites Improving Retrieval-augmented Text-to- SQL with AST -based Ranking and Schema Pruning.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Improving Retrieval-augmented Text-to- SQL with AST -based Ranking and Schema Pruning

Reference 24

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7d778822-07a8-4b87-a90d-2c097384005a · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 25

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raw_fallback, observed 2026-05-15T13:20:50.690542Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation ca34bc2e-9778-4f4b-a435-c8c48e7b2565 · outbound

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

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation CHESS: Contextual Harnessing for Efficient SQL Synthesis

Reference 26

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arxiv_id, observed 2026-05-19T11:24:23.090090Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:dfde05b908e5e3d4f8ad7c31158271372af7bc5fb08408eae9f2806847df7ed8

Observation e692fb29-4482-4c7b-88b4-2d11cec50f40 · outbound

This paper cites Vygotsky.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Vygotsky

Reference 27

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raw_fallback, observed 2026-05-15T13:20:50.688333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7e900adc-8bf8-41a1-aad6-6fd361609b2c · outbound

This paper cites Robust Text-to-SQL Generation with Execution-Guided Decoding.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Robust Text-to-SQL Generation with Execution-Guided Decoding

Reference 28

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local_arxiv, observed 2026-05-15T13:20:02.278570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation f5bf533a-21c0-43f8-ba34-735c5b675e98 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 9edeb366-f42b-40de-8523-989b1f5d4c41 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 30

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raw_fallback, observed 2026-05-15T13:20:50.683814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6757d3a1-4dcc-4b54-9b7c-27a3ec2208ff · outbound

This paper cites When More is Less: Understanding Chain-of-Thought Length in LLMs.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation When More is Less: Understanding Chain-of-Thought Length in LLMs

Reference 31

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arxiv_id, observed 2026-05-15T13:20:02.264806Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7f1df496-40cc-4e74-bb8a-586e0b3c93f0 · outbound

This paper cites Qwen3 Technical Report.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Qwen3 Technical Report

Reference 32

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local_arxiv, observed 2026-05-15T13:20:02.274633Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 17946a4b-133b-4d36-9ad7-50c5349707d7 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c703729b-1085-4366-865c-863d088513b6 · outbound

This paper cites arXiv:2505.20315 [cs].

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation arXiv:2505.20315 [cs]

Reference 34

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arxiv_id, observed 2026-05-15T13:20:02.248889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:4e2e8180ba492bab21e072d7ce73e4fc7fdc409956387a5c757409d2d7f09596

Observation 6ffea968-f846-4ae9-8360-024f42eac330 · outbound

This paper cites an unresolved cited work.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-05-15T13:20:50.672920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:dc1a6bb46844e74ad873ddc3a9e7b781a5e9a71907c834948b7f8347a717a2b6

Observation 7b7d6ffe-d5f4-4e00-9c31-64ce97f16feb · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:20:02.259812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:270a7c7dbd484e5446ff1851f9001a37554d963f8b4187033d3eee9be4eb8a94

Observation 1aeff84a-4909-440f-8ad8-c3a173c773eb · outbound

This paper cites Zhang, and Lu Qianchun.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Zhang, and Lu Qianchun

Reference 37

Resolution
verified exact
doi, observed 2026-05-15T13:20:01.374814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:6392ab4b19ab741085f83e3375b1847c64ede2fc128ae0bd75f773e1866ecd23

Observation 45a05d2a-b804-4c9d-86b4-0dd10abd18e9 · outbound

This paper cites Group Sequence Policy Optimization.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation Group Sequence Policy Optimization

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-15T13:20:02.258937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:c316448a81c88db23b1039512a401e9ad6c5fb185dd885aa6a746e8584218f8c

Pith citing papers

No inbound Pith citation observations are available.