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Paper Citation Record · LEDGER

A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.02742.

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

pith.paper-citation-record.v1
2407.02742 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:37.600795Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c2e14a16-a46b-41d1-b68f-2a773e2a5e3e · inbound

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows cites this paper.

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:37.600795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:37.600795Z digest=sha256:089dacc9edeafe6da041b0f53069f6656c21878bac76659ccbba4ba084a17d51

Observation f1d07790-e32f-4a73-900b-b7613cf9191c · inbound

LLM-Powered Virtual Patient Agents for Interactive Clinical Skills Training with Automated Feedback cites this paper.

LLM-Powered Virtual Patient Agents for Interactive Clinical Skills Training with Automated Feedback A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T18:54:14.444846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:54:14.444846Z digest=sha256:c06bca6a7b39eda39e3cb526a2f60b3b7292ba046abcf10c719f043fb027cea3

Observation 27f4937f-fe3c-4172-8364-7d698dbc1392 · inbound

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production cites this paper.

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:00.903250Z

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=2026-05-10T16:38:30.184565Z digest=sha256:ff12cc3d549d8d7c59c00da4e0ed47587bd2a06e0a3d6ad84360cb9813897f18

Observation 2beb5e87-4bb2-4ce7-aa02-4868c2eeaf9b · inbound

PrismaDV: Automated Task-Aware Data Unit Test Generation cites this paper.

PrismaDV: Automated Task-Aware Data Unit Test Generation A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:49:16.097885Z

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=2026-05-09T22:14:30.829159Z digest=sha256:1a60d0b9231d801e5d0b0ddbe5c024ec46e5fd3a209cdeb89aa0e5c39f546c5a

Observation 80489853-5810-4483-ba11-ee446e92e459 · inbound

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study cites this paper.

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:26:13.531344Z

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=2026-05-08T02:49:14.533263Z digest=sha256:9f79063b1ee40aae7175cf1b44a5675cbdfc26c12fb74b6006a4155476538583

Observation b236c893-6821-44e6-b36a-fbe90664d0e7 · inbound

LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages cites this paper.

LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T01:50:22.089771Z

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=2026-06-25T22:38:37.806421Z digest=sha256:e2130cd91e986106a4b4df7fe319c83fcf8a48a915d25bad0341e7587c4a177e

Observation 3c93e56d-062d-48bf-8f9a-917e8e31a09e · inbound

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows cites this paper.

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T02:16:42.458285Z

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=2026-07-10T02:15:50.014951Z digest=sha256:11787e27bd18d33cc820bfb075117297eb454cbf340309d5679f06617d33c233