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Paper Citation Record · LEDGER

Large Language Models Meet NL2Code: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2212.09420.

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

pith.paper-citation-record.v1
2212.09420 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:44:10.292612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T02:33:32.407193Z

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 f97d7ca0-e5ca-49f3-afff-b27991d16b72 · inbound

Improving Existing Optimization Algorithms with LLMs cites this paper.

Improving Existing Optimization Algorithms with LLMs Large Language Models Meet NL2Code: A Survey

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T05:44:10.292612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:44:10.292612Z digest=sha256:c45c8100b3518983b82cd12995ec1472b392d78bfa04461586cb00c3e362e762

Observation 5c797466-0083-49c2-9699-51e5fd2b6fe9 · inbound

Software Architecture Meets LLMs: A Systematic Literature Review cites this paper.

Software Architecture Meets LLMs: A Systematic Literature Review Large Language Models Meet NL2Code: A Survey

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:00:42.018728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:42.018728Z digest=sha256:49be243b72c256552e0ba10f40a84cb920d2fcc0f48386e2b23480288382fe72

Observation 4e8e84b3-d10f-49f2-b574-4d8f8eaf4e04 · inbound

SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation cites this paper.

SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation Large Language Models Meet NL2Code: A Survey

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:29:17.440179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:29:17.440179Z digest=sha256:907c5ba9937a25a82f46fbff2b4ccd4e689affb76b1dd35ad840e6233c7af8a3

Observation 3e2ae659-4147-4feb-955e-2a0749e78e41 · inbound

Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective cites this paper.

Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Large Language Models Meet NL2Code: A Survey

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:00.630740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:00.630740Z digest=sha256:6b3b7a0376a5ff347ca94cd3349425ac4a7ca86fd01c4a24f8fafa971afd212f

Observation c0146b42-b23a-41c2-abc6-c3764c6cb99e · inbound

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion cites this paper.

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion Large Language Models Meet NL2Code: A Survey

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T04:48:39.496588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:48:39.496588Z digest=sha256:c9cb1369842ef4462f5a0aa78c8a400d85d4e71c1225250032a0cf0078cacd96

Observation 10d1cfa8-c264-4667-8835-78ea5d5d083c · inbound

EnvX: Agentize Everything with Agentic AI cites this paper.

EnvX: Agentize Everything with Agentic AI Large Language Models Meet NL2Code: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.948548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.948548Z digest=sha256:cbca276938c49d3952671d2798921a64a0b11b829f08c61d2944aa91b1dd7c2b

Observation 205e44a2-43bd-4e3e-98bc-63558af5715e · inbound

IaC Generation with LLMs: An Error Taxonomy and A Study on Configuration Knowledge Injection cites this paper.

IaC Generation with LLMs: An Error Taxonomy and A Study on Configuration Knowledge Injection Large Language Models Meet NL2Code: A Survey

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T16:11:47.699317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:11:47.699317Z digest=sha256:5edfae81ee53e3606af167603a538d17478f658a7390badd285fc63ef0b3342f

Observation c8f0897d-b28e-493a-9dce-06171832dec6 · inbound

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion cites this paper.

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion Large Language Models Meet NL2Code: A Survey

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T06:14:30.111039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:14:30.111039Z digest=sha256:042712a1f61fff612ff04c37290e5c39425438415aef5710eab7aa4029ccf9c7

Observation 43f002bb-98c7-4473-8e54-7fbbba4738cd · inbound

SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades cites this paper.

SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades Large Language Models Meet NL2Code: A Survey

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:33:32.408745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T02:31:18.183715Z digest=sha256:f4cdb5500d7609e17bf1bd13dbfbe0a45ecd0bd43a840638115cf3999cd4df2c