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Paper Citation Record · LEDGER

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools

As of 19 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2506.11141.

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

pith.paper-citation-record.v1
2506.11141 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:53:44.261363Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T13:45:28.789452Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:46:36.969393Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17e1d4e9-316b-4c6c-9b2d-caf577b54edc · outbound

This paper cites Large Language Models and Code Security: A Systematic Literature Review.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Large Language Models and Code Security: A Systematic Literature Review

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:42.147316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:42.147316Z digest=sha256:ece47cbffb24daf0d57ebc50306cfefae9a7aa6952093bc0fe0289aef80d864a

Observation 1e412d2a-9a56-467f-876f-e86f52945745 · outbound

This paper cites On the Utility of Domain Modeling Assistance with Large Language Models.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools On the Utility of Domain Modeling Assistance with Large Language Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:53:45.398390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:42.292998Z digest=sha256:243aa5ad0e91f607f139ca5e0404b36f8154a7b003f54a2053cad0869ac89be6

Observation bfd504de-300b-404a-809c-5035214a3b6c · outbound

This paper cites Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:47.996783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:42.408981Z digest=sha256:c22f0f9d81dedfcdf0d989a03389aa6ae17b95c636f1963309fd2612ec515674

Observation cad77b51-429d-4bf4-a8c3-c1a8e61dda6b · outbound

This paper cites Investigating Execution-Aware Language Models for Code Optimization.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Investigating Execution-Aware Language Models for Code Optimization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:42.810508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:42.810508Z digest=sha256:780678930cce1c4a0c91990811502d52ffc0d222ad774a21b82b20a6ad484942

Observation 0c61e91d-d3d3-4fe8-b845-9cf2b1b6e048 · outbound

This paper cites LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plugin.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools LoRAMoE: Alleviating world knowledge forgetting in large language models via MoE-style plugin

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:47.475286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:42.893402Z digest=sha256:7a34e56968072f45feacb6ca6dd8f1f6786bf833af329a2134fe6bd7fb03f9d9

Observation b96f553f-2af2-4a6a-aef0-9079ca861731 · outbound

This paper cites LLM-Guided Formal Verification Coupled with Mutation Testing.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools LLM-Guided Formal Verification Coupled with Mutation Testing

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:47.229261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:42.964400Z digest=sha256:e0c5d34fcc9e60a70ac37320d07d52779d5b66135470d105529e68c9bd7968c0

Observation 3922bb4e-c827-458b-a211-c5d6967faf8f · outbound

This paper cites A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:43.080625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:43.080625Z digest=sha256:83d8a57b29a0b9b0eb65168dd4f2a5b37fb81191de7edfb5c8539778919ec610

Observation abcb18e5-bd42-468f-b486-1758b235e41a · outbound

This paper cites Enhancing GPT-3.5’s Proficiency in Netlogo Through Few-Shot Prompting and Retrieval-Augmented Generation.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Enhancing GPT-3.5’s Proficiency in Netlogo Through Few-Shot Prompting and Retrieval-Augmented Generation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:46.736270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:43.280791Z digest=sha256:aaaa17076db38129c21ed64a92839e6bf4a5f1e9ae6398bcfade7a471ad77676

Observation beb63caa-ce67-4e6e-ad26-f5af4ee87a93 · outbound

This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:43.487935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:43.487935Z digest=sha256:2b0ecb849718cef48a8437f2cd5b22e5045a107340b273715ea47ce91e53229f

Observation f5ee49d0-ef8a-4c6e-82c1-23c080892230 · outbound

This paper cites Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:43.620064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:43.620064Z digest=sha256:638c40c3a9949ef385d988646d2f0a63d22bcb0ef54f0d7c68efb04005f6ae14

Observation 44577514-3895-41a5-8e01-82c34ecda4d1 · outbound

This paper cites Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:43.702099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:43.702099Z digest=sha256:9ffdf024687eb1a72bf99a1e5b16778bb4568d04e26163d90a6faa911afd28ae

Observation 7afe7058-f1f5-455f-9385-37c08caaa70b · outbound

This paper cites Towards Effective Validation and Integration of LLM-Generated Code.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Towards Effective Validation and Integration of LLM-Generated Code

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:46.005246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:43.922102Z digest=sha256:126e475f951b2952873b3e487e1757b4d992cb1f7dc211b8b1e3492cdc8b4930

Observation 41c75fdd-42bd-4f67-b56c-2b616eb06b8a · outbound

This paper cites AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:44.123875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:44.123875Z digest=sha256:2adc0b95f069768cec3cfaa89b3c9a05796f681c202a0e0e53c1d3bb5930e36b

Observation 02f412dd-2270-4a4d-856c-e5f51871bfeb · outbound

This paper cites Low-Rank Adaptation for Foundation Models: A Comprehensive Review.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Low-Rank Adaptation for Foundation Models: A Comprehensive Review

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:53:44.261363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:53:44.261363Z digest=sha256:7e655854c922b4096193f485ee0830a3e2b67f9a32ca37099f8409bc9d9b981e

Observation 168fcb25-bd99-4da6-bd1b-570ee434186c · outbound

This paper cites FTG+PM: An Integrated Framework for Investigating Model Transformation Chains.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools FTG+PM: An Integrated Framework for Investigating Model Transformation Chains

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:47.018355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:43.198456Z digest=sha256:3f8d40403129aa4e33e2d1fde0030699f105ed2e97273700d643dc2e42c39f98

Observation 101d753e-a2e2-4601-85cd-9c21643f67a6 · outbound

This paper cites Binary Ninja.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Binary Ninja

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:45.770921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:44.021486Z digest=sha256:b8c285770d61751fb50e0df3e18ee9824ed7ab51abbecbf35220c3f822ba41c4

Observation 49cc855b-2eb1-4704-bfd5-38c4d55a407b · outbound

This paper cites Ghidra Software Reverse Engineering Framework.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Ghidra Software Reverse Engineering Framework

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:46.527520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:43.373752Z digest=sha256:cd31252f4a87d1d2faa3468bd70a2ea6b00a7efeebb95fa39e61edd571032708

Observation dcfcf1dc-6181-4de3-a6e8-c0492d4becdd · outbound

This paper cites Towards reusable building blocks to develop COVID-19 simulation models.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Towards reusable building blocks to develop COVID-19 simulation models

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:46.279750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:43.816890Z digest=sha256:a443d8c53884c370978c0af8c33af1f748391fc965e32a84cfb671748ac19f64

Observation 2cef5059-e7ff-48b2-819d-46381b693180 · outbound

This paper cites LangChain: A Framework for Developing Applications Powered by Language Models.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools LangChain: A Framework for Developing Applications Powered by Language Models

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:47.715306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:42.677455Z digest=sha256:564081504400dee5e5afd88a1b707c415228caa49fd7d2eeb0dbf6d267c1ab29

Observation b6b6fab4-73bf-441e-b670-8f24611f5258 · outbound

This paper cites Increasing the Accuracy of LLM Question-Answering Systems with Ontologies.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools Increasing the Accuracy of LLM Question-Answering Systems with Ontologies

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:53:48.287514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:42.075319Z digest=sha256:b19ab488c28867f17111d9adf8908264d7c20df5be2569991db1078c23e9a958

Observation f666ed42-bca9-4958-aeaa-5aa3a8b2ff96 · outbound

This paper cites CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models.

From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models

Reference 2025

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:53:45.137947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:53:42.543595Z digest=sha256:09d3df26eaa4c4a8f25b9a47ccdfc63828f5d7eb1684b51cde4ea089044bf9ec

Pith citing papers

Observation 64dc51f5-71aa-4ae3-a8f3-348b6d1aa9de · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools

Reference 158

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:46:36.972338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T13:45:28.789452Z digest=sha256:5f63d6655560479ae392a155dacd4701538f9643195b31761e144d5e342000fb