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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 9 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 2026-08-09T06:31:02.800959+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:cacf27c17548af439e53758d56e6d8150a2e2c092d602f2c464d3c35ec83cbf8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:42.292998Z digest=sha256:1e4466b3eef24e0e9025682c334a7a987dcf37913f515893496acad684a5fca4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:42.408981Z digest=sha256:34b4b3c8f8a645288415332bde0cbf58e5062b886caf0b1e9b08484e2ce230c3

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:cfc0f15214020b36fe73a440c16ee288ce14e0dba55d06b701210ed9fad2f52b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:42.893402Z digest=sha256:326d28708a044689f6390cc86caa762205f259d6cd4e0caf007d72d168a5c221

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:42.964400Z digest=sha256:fd23f09a841e02e8572f00655261a17046e15d20039638e6a774e54f27d1d1cc

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:a90683f7852cebfdda64126e537420497020fcb8cdcdc12fdb013150af36e0a6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:43.280791Z digest=sha256:e215c1e0b6e5923077a0491b474ca707063bb18e16cf607f0b72cb7f13294ae2

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:b8072a1c9004e8e3fb513ad3881853e767d9051cef725afbeb50fc16a2890da9

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=sha256:494e1d3abba7924d2cc71f6d9e89bfb7a56226e79f62f785914dba1419040bfd

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:c6020f4e5ac9c3f738b5a0c885abb37fc40f3d2890e3488c10952ce91c240848

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:43.922102Z digest=sha256:2c3d8412eec6ed82a26cb2d98468eb84c45a8ed1e88810400463c9cfc471b2df

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=sha256:889a0a655cb895b67f64e9bdcd20b172de1ea5d0b75c4e8603f199f02df0b24e

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=sha256:54438977f8123b00e0a8160a59cb3ec1b032dd9bbdbdf23001c57ce576528a00

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:43.198456Z digest=sha256:db3a3b54907dc83176c705184ff9cf4d3f0ea3c0cb02639908e1fc953784d57f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:44.021486Z digest=sha256:6df46c23ffec450f3a8dc1bf03a10ebc9417660de8be48c6bbe652c1cbf12ccc

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:43.373752Z digest=sha256:23b279ec9dbe73bfa0ee813bbc7423a9e7b3a3d2a8e3b6e3e0d4c0ec91a2775a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:43.816890Z digest=sha256:bbffdd8ea0669185398cb7605c8ac4e4a9df6b816c68b673c5582bb4071492dd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:42.677455Z digest=sha256:1113b53a23064280fc17000e04ef05387a88b1b8e363f87b5d6217f0f26ebdc4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:42.075319Z digest=sha256:1b19e0520de4cf40dad9fe53e49b4de90554e801489d8afaf39c2f1f728dd76c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T04:53:42.543595Z digest=sha256:63beb74a8d37e019fe00aeebf3168a6d8666bf5942df18d34c292bfce873d790

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:45:28.789452Z digest=sha256:5caf33f402914cdc2c1f02e2b0b20a1cf2bf2f0ac4dfafb65fdf9b6afc212283