Paper Citation Record · LEDGER

An AST-guided LLM Approach for SVRF Code Synthesis

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.00352.

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

pith.paper-citation-record.v1
2507.00352 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:24:39.321383Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84cb977a-a65e-4990-ac05-32650afa6f10 · outbound

This paper cites Language Models are Few-Shot Learners.

An AST-guided LLM Approach for SVRF Code Synthesis Language Models are Few-Shot Learners

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:38.744273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bd897d8-73bb-429f-ab20-c048a8d577ec · outbound

This paper cites A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends.

An AST-guided LLM Approach for SVRF Code Synthesis A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:38.802024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 634644df-97d2-422d-952d-ccc5de3cdea9 · outbound

This paper cites Parr, The Definitive ANTLR 4 Reference.

An AST-guided LLM Approach for SVRF Code Synthesis Parr, The Definitive ANTLR 4 Reference

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:40.214809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c45435dd-1c24-4270-8607-edd0934f0034 · outbound

This paper cites an unresolved cited work.

An AST-guided LLM Approach for SVRF Code Synthesis Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:24:40.058608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1aa92d61-b40d-41ec-8741-011fb597b07b · outbound

This paper cites Ast-based program transformation for enhanced program understanding,.

An AST-guided LLM Approach for SVRF Code Synthesis Ast-based program transformation for enhanced program understanding,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.913327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa1dca33-f08d-49d7-98b8-d85bac3ee2ae · outbound

This paper cites Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,.

An AST-guided LLM Approach for SVRF Code Synthesis Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.793660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7b3ba883-1415-409c-948f-4b8047a010f4 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

An AST-guided LLM Approach for SVRF Code Synthesis Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:39.070465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad4982e-e8dc-49e7-9788-5025af5dca83 · outbound

This paper cites Attention is all you need,.

An AST-guided LLM Approach for SVRF Code Synthesis Attention is all you need,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:39.123598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 736bc56d-e474-4b81-8519-6dbe4a705cc6 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

An AST-guided LLM Approach for SVRF Code Synthesis Scaling Instruction-Finetuned Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:39.183575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee91b3ba-aa86-4308-927c-97b5ee434a79 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

An AST-guided LLM Approach for SVRF Code Synthesis Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:24:39.223856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4385dbf5-6bf6-4e2f-bf9e-c6db32ae09cd · outbound

This paper cites Rag: A semi-supervised pattern-based learning approach to adaptive code generation,.

An AST-guided LLM Approach for SVRF Code Synthesis Rag: A semi-supervised pattern-based learning approach to adaptive code generation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.643269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c6da42cd-dae2-4119-9724-96e2fae3ba91 · outbound

This paper cites Workflow-based software development: Models, methods, and tools,.

An AST-guided LLM Approach for SVRF Code Synthesis Workflow-based software development: Models, methods, and tools,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:24:39.539602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.