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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:49:45.640375Z

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 70f60be5-7881-4138-899d-7107a52aa403 · inbound

Towards the LLM-Based Generation of Formal Specifications from Natural-Language Contracts: Early Experiments with Symboleo cites this paper.

Towards the LLM-Based Generation of Formal Specifications from Natural-Language Contracts: Early Experiments with Symboleo A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T13:49:45.640375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:49:45.640375Z digest=sha256:a30e6ac7f17c39640fa0d62ba34e6b1abf00cb84fdcbcbd84803db0c93c1066e

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:e1bf97de26ca076fb0b48594f4952e3c98cb489b5b006d1c00601a3e9308fdcd

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=sha256:3fc5e50510462ed2a05f36cc5247740f98a08bbc4580e3f51ad334acd96859da

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T16:38:30.184565Z digest=sha256:6ac9d026eca839e87a964cd68e1850be3bd87f97f7f9ff3e2478339c6a548d39

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-09T22:14:30.829159Z digest=sha256:572bd8771ecfd95db14f12692f9b6d9ca9a8378e0fa992bb192bafce43ac184c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T02:49:14.533263Z digest=sha256:a70ec6bca0528a599c331de5cc1cb6c3a8c0c5b2d61baa66c4ef7d0c4d047bbb

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-25T22:38:37.806421Z digest=sha256:f754c8e544562ab51fa13aa90801297d8035ba0ae6dbe6188d66faf35ef41401

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-10T02:15:50.014951Z digest=sha256:d5d571c39e611228def41f2219e9feb5ac0aa902f2796007e6b5da55659ef471