Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-08T19:45:46.002113Z
Paper Citation Record · LEDGER
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation
As of 21 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2607.05985.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
77 of 77 outbound references displayed
- verified exact7
- verified fuzzy48
- unresolved21
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 827e2c7b-9e41-419a-a1b1-1ba3d8d2f53b · outbound
This paper cites The design structure system: A method for managing the design of complex systems,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation The design structure system: A method for managing the design of complex systems,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.906803Z
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 31db4d5b-641f-4f01-8259-3e3a0dd8dbcb · outbound
This paper cites Eppinger and T.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Eppinger and T
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.918193Z
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 b7d2887c-0241-4a92-accc-85d98b995a41 · outbound
This paper cites Design structure matrix extensions and innovations: A survey and new opportunities,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Design structure matrix extensions and innovations: A survey and new opportunities,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.619533Z
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 cb34999c-2917-4c8f-9b37-0b08eca6c53a · outbound
This paper cites Predicting change propagation in complex design,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Predicting change propagation in complex design,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.890595Z
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 212d3eda-5cf3-4aa3-a09d-9cfaa134fc8e · outbound
This paper cites Generation of a function-component-parameter multi-domain matrix from structured textual function specifications,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Generation of a function-component-parameter multi-domain matrix from structured textual function specifications,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.899813Z
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 9fefafab-8c22-4897-9575-b264b87cb39c · outbound
This paper cites Knowledge management technology,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Knowledge management technology,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.901546Z
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 e962297f-ea86-47a1-a970-a7cc6cd246e5 · outbound
This paper cites Guest Editors’ Introduction: Knowledge Management in Software Engineering ,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Guest Editors’ Introduction: Knowledge Management in Software Engineering ,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.894460Z
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 2f61fa52-bda4-4171-9e71-b89395e7b030 · outbound
This paper cites Rubens,Science and technical writing: A manual of style.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Rubens,Science and technical writing: A manual of style
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.886210Z
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 749f0be4-a9d8-4a97-9adf-67d52cc1b5e3 · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.888258Z
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 79ca4d83-a1e7-4e9c-a064-aff95e7c918f · outbound
This paper cites Model-based systems engineering: Moti- vation, current status, and research opportunities,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Model-based systems engineering: Moti- vation, current status, and research opportunities,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.892546Z
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 6e58a58f-feae-4db3-ae24-e623a39411ea · outbound
This paper cites A taxonomy of mbse approaches by languages, tools and methods,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation A taxonomy of mbse approaches by languages, tools and methods,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.880319Z
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 80059040-feb7-4673-9ae9-3f85296f75ba · outbound
This paper cites Model-based systems engineering: Evaluating perceived value, metrics, and evidence through literature,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Model-based systems engineering: Evaluating perceived value, metrics, and evidence through literature,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.878542Z
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 e61d5fdd-9a76-4fc0-ae19-da06f2539664 · outbound
This paper cites Utilization of system models in model-based systems engineering: Definition, classes and research directions based on a systematic literature review,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Utilization of system models in model-based systems engineering: Definition, classes and research directions based on a systematic literature review,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.882193Z
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 aca9c905-7134-4308-bc10-1433c610b618 · outbound
This paper cites Bridging the Gap Between Requirements Engineer- ing and Systems Architecting: The Elephant Specification Language,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Bridging the Gap Between Requirements Engineer- ing and Systems Architecting: The Elephant Specification Language,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.884266Z
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 343fb037-1cc6-4ddc-a858-ea75eba7a4c8 · outbound
This paper cites Deep learning for ai,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Deep learning for ai,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.896151Z
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 1238e984-b301-48a1-9679-446bf927fa54 · outbound
This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Sparks of Artificial General Intelligence: Early experiments with GPT-4
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:55:33.959583Z
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 f7c73ba1-e686-41f0-ac80-c35449005eea · outbound
This paper cites Auto-DSM: Using a Large Language Model to Generate a Design Structure Matrix,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Auto-DSM: Using a Large Language Model to Generate a Design Structure Matrix,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.903409Z
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 a29d1c56-a608-4254-931e-51bd214e554b · outbound
This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.112979Z
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 ff6425ce-469b-4cde-92cc-af093764258a · outbound
This paper cites Survey of hallucination in natural language generation,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Survey of hallucination in natural language generation,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.592537Z
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 fba21bdf-0344-44b4-a09d-9f95bf96ba67 · outbound
This paper cites Know your limits: A survey of abstention in large language models,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Know your limits: A survey of abstention in large language models,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.099366Z
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 3b691098-c46c-453b-9282-8f7ae2d4b49a · outbound
This paper cites Mitigating LLM Hallucinations via Conformal Abstention.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Mitigating LLM Hallucinations via Conformal Abstention
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:55:33.956409Z
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 7cbb30f9-6e33-4599-8211-fc5229f886a2 · outbound
This paper cites Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:55:33.962308Z
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 5bb0ba74-ed11-4d78-b2fe-da7fa76f2d37 · outbound
This paper cites How many random seeds? statistical power analysis in deep reinforcement learning experiments,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation How many random seeds? statistical power analysis in deep reinforcement learning experiments,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.613701Z
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 251f690d-17c5-4e7c-9575-4dcc1eb516c8 · outbound
This paper cites How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments
Reference 24
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-08T19:55:33.972391Z
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 894db903-8405-4889-9f38-58efa1576569 · outbound
This paper cites Run, Forest, Run? On Randomization and Reproducibility in Predictive Software Engineering.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Run, Forest, Run? On Randomization and Reproducibility in Predictive Software Engineering
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:55:33.970005Z
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 0bf5aead-424d-40a8-92ec-6f9c31cd273f · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.876461Z
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 38fa3ca2-d5aa-422f-8155-42c30df93e96 · outbound
This paper cites Beizer,Software Testing Techniques.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Beizer,Software Testing Techniques
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.898030Z
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 f5e7ae46-8810-49f8-acc9-c5e498d7a1e2 · outbound
This paper cites Myers, C.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Myers, C
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.905103Z
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 b6abafae-ae97-48c2-a40d-19670f8d446f · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.873984Z
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 18949d70-1f38-48e1-8cff-e517149eaacc · outbound
This paper cites Degree of modularity in engineering systems and products with technical and business constraints,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Degree of modularity in engineering systems and products with technical and business constraints,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.594418Z
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 111a47ec-e5e8-4bc6-b060-726c854c3914 · outbound
This paper cites An introduction to roc analysis.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation An introduction to roc analysis
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.608087Z
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 b6af7bb9-d24c-4b3f-96e9-d117945e4612 · outbound
This paper cites Scikit-learn: Machine learning in python,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Scikit-learn: Machine learning in python,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.101059Z
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 3a3c8680-4239-4cba-8a52-f1a2e41742ce · outbound
This paper cites On the foundations of noise-free selective classifi- cation.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation On the foundations of noise-free selective classifi- cation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.585072Z
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 92d757ee-318a-4c22-af55-2dfae4b2925a · outbound
This paper cites Selectivenet: A deep neural network with an integrated reject option,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Selectivenet: A deep neural network with an integrated reject option,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.097729Z
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 26017ba4-6ddc-41f5-a1f4-426c9c61d617 · outbound
This paper cites The hitchhikers guide to testing statistical significance in natural language processing,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation The hitchhikers guide to testing statistical significance in natural language processing,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.599581Z
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 d3fa6142-9ca8-43ea-b230-12dc16f87c0e · outbound
This paper cites Unreproducible research is reproducible,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unreproducible research is reproducible,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.078885Z
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 e31c4486-53ce-41e3-b83c-c0b1250088be · outbound
This paper cites Synthetic and Natural Noise Both Break Neural Machine Translation.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Synthetic and Natural Noise Both Break Neural Machine Translation
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:55:33.967549Z
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 a7b0612a-8e03-4dee-b52b-1f678a0e2989 · outbound
This paper cites Large sample variance of kappa in the case of different sets of raters.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Large sample variance of kappa in the case of different sets of raters
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.611824Z
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 a6a7d3c7-6158-4a12-8827-2a5448fb14f9 · outbound
This paper cites An application of hierarchical kappa- type statistics in the assessment of majority agreement among multiple observers,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation An application of hierarchical kappa- type statistics in the assessment of majority agreement among multiple observers,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.583322Z
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 bf686bce-e7ec-43fa-b4d5-60ab31215fb7 · outbound
This paper cites A High-definition Design Structure Matrix (HDDSM) for the Quantitative Assessment of Prod- uct Architecture,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation A High-definition Design Structure Matrix (HDDSM) for the Quantitative Assessment of Prod- uct Architecture,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.601338Z
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 34ffdc3e-7a3f-484a-a279-23edbcbd518e · outbound
This paper cites Improving data quality in dsm modelling: A structural comparison approach,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Improving data quality in dsm modelling: A structural comparison approach,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.597834Z
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 48041120-60e5-4bcc-a201-c133a2df4d18 · outbound
This paper cites Applying the design structure matrix to system decomposition and integration problems: a review and new directions,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Applying the design structure matrix to system decomposition and integration problems: a review and new directions,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.590893Z
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 c8e4169e-420e-419c-9318-cae16fbb07fe · outbound
This paper cites The foundations of cost-sensitive learning.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation The foundations of cost-sensitive learning
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.586910Z
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 89bbf5ef-6475-4a16-a5c2-4f646cda22a1 · outbound
This paper cites On optimum recognition error and reject tradeoff,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation On optimum recognition error and reject tradeoff,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.114579Z
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 38af3097-cdbd-462e-ab7b-664227e1d234 · outbound
This paper cites Measuring classifier performance: a coherent alternative to the area under the roc curve,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Measuring classifier performance: a coherent alternative to the area under the roc curve,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.588756Z
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 db3dce14-cd60-4745-9b8d-035f4bf821ae · outbound
This paper cites Accounting for variance in machine learning benchmarks,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Accounting for variance in machine learning benchmarks,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.603117Z
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 babe5990-a888-4b85-b91f-3316b0c6ced2 · outbound
This paper cites Muc-5 evaluation metrics,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Muc-5 evaluation metrics,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.609819Z
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 54b36df2-d4e8-4ad9-b6a7-078601b6e686 · outbound
This paper cites Using mbse for the enhancement of consis- tency and continuity in modular product-service-system architectures,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Using mbse for the enhancement of consis- tency and continuity in modular product-service-system architectures,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.606423Z
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 ae7ed926-c550-423d-994f-7be6a594b8e7 · outbound
This paper cites Complexity should not be in the eye of the beholder: how representative complexity measures respond to the commonly-held beliefs of the literature,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Complexity should not be in the eye of the beholder: how representative complexity measures respond to the commonly-held beliefs of the literature,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.104508Z
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 58ba4d9d-6247-49f1-b55e-2be4e7658244 · outbound
This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineer- ing with ChatGPT,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation A Prompt Pattern Catalog to Enhance Prompt Engineer- ing with ChatGPT,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.596157Z
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 71e03d5e-8c0d-4fbb-8f6c-cd774c4c6391 · outbound
This paper cites Prompt Engineering For ChatGPT: A Quick Guide To Techniques, Tips, And Best Practices,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Prompt Engineering For ChatGPT: A Quick Guide To Techniques, Tips, And Best Practices,
Reference 51
- Resolution
- verified exact
- doi, observed 2026-07-08T19:55:33.653584Z
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 24794583-14c1-48f1-a018-107ae2e654fe · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T19:55:33.964991Z
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 9d2f59b2-940d-4da9-ad68-3cbf28f36b4c · outbound
This paper cites Language models are few-shot learners.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Language models are few-shot learners
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.617401Z
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 0020b873-4cd5-42dc-8e62-846ec5b3339a · outbound
This paper cites Know the unknown: An uncertainty- sensitive method for llm instruction tuning,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Know the unknown: An uncertainty- sensitive method for llm instruction tuning,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.111260Z
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 4f15b12c-cc52-4de6-9343-44c00486e987 · outbound
This paper cites Trusting your evidence: Hallucinate less with context- aware decoding,.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Trusting your evidence: Hallucinate less with context- aware decoding,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:55:35.615385Z
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 6b563bee-9c60-4b3a-968c-f27d5330bf2c · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:36.080570Z
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 0a866951-046d-41ac-958e-549756e3016a · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:55:35.604662Z
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 2dfe22a3-2c67-48c2-ab8e-c6586fceecfb · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.933551Z
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 f0b475a8-c7e2-427b-9ee2-5f8f0487eebf · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.935127Z
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 57c96714-3c18-4911-8926-08df536fb81b · outbound
This paper cites 10: Prompt 2 for intra-subsystem interaction identification using Tilstra (2012) HDDSM.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation 10: Prompt 2 for intra-subsystem interaction identification using Tilstra (2012) HDDSM
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:36.107956Z
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 15d91513-a17d-4023-bd69-ea21246114ca · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.930269Z
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 86efd049-18ac-4208-a5df-1e3da1561472 · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.923189Z
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 00de40cb-cf57-44e3-aa40-707bb2ec97ea · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.925025Z
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 e2e0b431-e9f7-4376-8618-5e518776cc8b · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.926790Z
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 454986a4-84c9-4fd2-bbe2-88584c98eeae · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:36.091000Z
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 2fe794f2-be48-43dc-b489-e5acc2284c1e · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.928322Z
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 8496c682-8581-41fe-9929-3a00bc803cea · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.932016Z
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 afd8cb92-ed4e-4339-b15f-c3f1cab76cdb · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:36.067321Z
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 3c1aff9f-ae73-469b-8efc-f30459555f2a · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:36.072194Z
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 66b4f349-2698-4700-93ec-969b5fef86d9 · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.921605Z
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 f53bd873-6535-4cc8-9dbf-178c160260ba · outbound
This paper cites # Instructions: The article should:.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation # Instructions: The article should:
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.911828Z
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 5e4f3a44-ee55-4f52-8ece-18bd8ec21aa8 · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.910218Z
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 ce6fa0e6-d8de-417b-87a8-6ce8b7d1b8ab · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.913356Z
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 dbc605aa-ade2-4d8d-8219-ab17dff5bc02 · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.914879Z
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 07da314c-807f-4679-86f8-8c0d1554ccc2 · outbound
This paper cites an unresolved cited work.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation Unresolved cited work
Reference 75
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T20:45:37.920005Z
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 51a17611-4c86-43d8-824b-a647c5322852 · outbound
This paper cites - Describe all interaction types using their **Tilstra classification**.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation - Describe all interaction types using their **Tilstra classification**
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.916532Z
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 047d53c3-d955-46ba-a1a8-d7b82caea654 · outbound
This paper cites # Constraints: - **No new components, interactions, or interaction types** may be added, inferred, or assumed beyond the input data.
Auto-DSM Under the Lens: A Black-Box Evaluation Framework for LLM-Based DSM Generation # Constraints: - **No new components, interactions, or interaction types** may be added, inferred, or assumed beyond the input data
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T20:45:37.908576Z
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.