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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 7 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 2026-08-07T06:34:17.273281+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=sha256:38b5146eb6ac16ba829f10ab61dcc0e8b170f57e3747d90d7bc1e7d8e2a7e9b7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:42.292998Z digest=sha256:73f581376312fcdf7127020a1536cf7b1f9034ebc0ccd52fb93e5ecfb4f58d72

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:42.408981Z digest=sha256:47f5c0f05981c720c0d92f15525a170cf96e942273dcc40427bd4af78a79799a

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=sha256:658c4e0a8ae76ef65e1f99a695f456bb15efcc3e1d8c8feb740ace98d032879e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:42.893402Z digest=sha256:116bc2bec9754440e6f3c5c0c2035b919ab852bd723f6d10c26b52172972b4f7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:42.964400Z digest=sha256:86043ba44d09c2ebd57fbaa0ba6857efe5911e21c96da69fdff20279cba4f395

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:e065019b37eabdce11271604682e4f31b64e00c117f5453b505ef8adfe5f9c3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:43.280791Z digest=sha256:9a4a7a5b1d72846b85c3f5cdcb7660fc4fc1ac9a77cd5ac0fbee0d1b581d7ce9

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=sha256:61235e68ab114228b47c2f13168248cad2070403cb7aa16a86c6c67c635ce0d3

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:aa0510034f25cc065100522e68e0fd74970e573e05df13e5df4b9668b1c1206e

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:a4c2379c9befd076d4572b7cd5b990b22f32b6cffaf425af9b55dcd82b0df4b5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:43.922102Z digest=sha256:118571d5b515442f4fd17512c8b10827489dcd4f6867aeedcb9e840c47973d15

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=sha256:213f157ff7981cc3bad2f5c558bd77bccd0263449f9c9147c3262d634df7fa34

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:cffdcb1384304bc67f3fbd9fa4b692c621e3e9fdd5ea5ccf910b54219e16b349

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:43.198456Z digest=sha256:ff352c592e3e0fde12833ce0bb29c3de42cd286fda06b311038e952a4a83e02c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:44.021486Z digest=sha256:6968ce0f821a580e19558ee518d4e451cf45b22262ed3515a42e83cb7cf0beb4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:43.373752Z digest=sha256:9fd883a51569b0c798167e5ab979e87a7d7f32446b577bb11ca9d024e8d6c29a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:43.816890Z digest=sha256:7e222edbecb6ecbb783ba3ebd7173a6d5a0866530a3c69b5f436e7386a43a497

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:42.677455Z digest=sha256:9ebec03227fe722c23febc941db9483f63ea9e251ccebfd22923cddce47b7693

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:42.075319Z digest=sha256:4afc6e7f491401c85aaf7cdd85d9dc4de69a2b4ef7615c4ce479a45f31bdfbb3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:53:42.543595Z digest=sha256:3342c06c0d56a0effb42b9de5f0fc6df5cefb512ab7f13cf180fd2338927cc25

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T13:45:28.789452Z digest=sha256:e7c584ae555697efa3e8982d4853411352483e6d83ff483cd013c7df4ee846d1