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Paper Citation Record · LEDGER

LEVER: Learning to Verify Language-to-Code Generation with Execution

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2302.08468.

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

pith.paper-citation-record.v1
2302.08468 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:48:18.260431Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:27:47.890642Z

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 0441ac54-c178-4dcc-bde2-a6a9ff48ddac · inbound

Teaching Large Language Models to Self-Debug cites this paper.

Teaching Large Language Models to Self-Debug LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 112

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:24:25.006909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-12T06:24:24.607354Z digest=sha256:ad1da3161b0a43f02bd089809f17b16ee79ca565c5fd58b9bea0f3a82d18393d

Observation c5f27055-08b3-452e-89b9-4ec3f785e453 · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:11:41.123684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T13:11:40.995345Z digest=sha256:9c2f50b662adc973f7b02e7569239549fdff424b0d1e7d23f44e23bd24adacde

Observation 55a7f694-1313-4dcc-a7f6-e023bd9b1d99 · inbound

Enabling New HDLs with Agents cites this paper.

Enabling New HDLs with Agents LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:50:39.968383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:50:39.968383Z digest=sha256:833c075bfe9f6a41df4b6ea6b8090dee5038af237b4988c2422ec4a6e1c52cce

Observation 4a903c89-25c2-455f-9288-de8720257d61 · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T00:48:18.260431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:48:18.260431Z digest=sha256:fd769e00e2130f7f2264b61e1af6bc28b2440c37ce12c6b7fa1a8b66d2c7cc0f

Observation 89f661c1-3dc5-4aee-8186-6d08fd6a3d59 · inbound

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data cites this paper.

Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T22:43:07.847761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:43:07.847761Z digest=sha256:b2799b4d004652dc25df66c45d161583289ca99f772ccd7b789df79a868a9243

Observation d55b7182-2969-475f-a6e3-f0902373388c · inbound

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL cites this paper.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:32:17.272298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T01:31:40.920567Z digest=sha256:d70ab11bc0aab100aa017e51a67a4114716452285630129e8ed0ede59e5b2543

Observation 04dea038-6dce-4f71-be44-f9efdf0578d5 · inbound

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples cites this paper.

TraceFix: Repairing Agent Coordination Protocols with TLA+ Counterexamples LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:30:55.973170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-11T03:27:03.589336Z digest=sha256:0ada6d22c910c31fe75f8ef1d51c935d5efcecfeccac7a307dfa4e82434ae892

Observation 1a9d115f-522b-4dea-9560-ce16cfde9791 · inbound

Constrained Code Generation with Discrete Diffusion cites this paper.

Constrained Code Generation with Discrete Diffusion LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:27:47.892369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T21:24:10.211816Z digest=sha256:d59606328e93a2159785c6fa1b9aa0f3ba45991ff0259fbd6280bcb27afb21ff

Observation 07b8fed7-8396-44b6-8d10-b1f49bde2f6d · inbound

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy cites this paper.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T08:18:30.333650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:18:30.333650Z digest=sha256:2ada426d7e5d16467ec373a6cfa6c24baf3e4f43caf0958438277f3d509a1bb6

Observation 42e7cb4b-1348-4637-920f-96110a108d9a · inbound

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization cites this paper.

SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization LEVER: Learning to Verify Language-to-Code Generation with Execution

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T04:26:46.906341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T04:26:46.906341Z digest=sha256:502a75949dd772252abfb6f344bf6ccaf50dff5d35a3cdc07dfd3961e140e6e8