MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models | Paper Citation Record

Observation 5915658f-1118-44b9-893e-94d69663645e · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Rt-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 1

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Observation 4e7a482d-3ec1-4fb1-9f48-d26f7fd95a0d · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 2

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Observation 891516be-4bbe-4eb3-90fd-eb19feac0651 · outbound

This paper cites Gr00t n1: An open foundation model for generalist humanoid robots,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Gr00t n1: An open foundation model for generalist humanoid robots,

Reference 3

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Observation 10a6361c-5fc2-4156-a2a8-8413bf1c781e · outbound

This paper cites π 0: A vision-language-action flow model for general robot control,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models π 0: A vision-language-action flow model for general robot control,

Reference 4

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Observation 64310528-0585-476b-8990-c7c0790c6eec · outbound

This paper cites Eo- 1: Interleaved vision-text-action pretraining for general robot control,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Eo- 1: Interleaved vision-text-action pretraining for general robot control,

Reference 5

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Observation 5f9b598d-c42e-4d1a-83ea-b0a4118ffea0 · outbound

This paper cites Vlatest: Testing and evaluating vision-language-action models for robotic ma- nipulation,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Vlatest: Testing and evaluating vision-language-action models for robotic ma- nipulation,

Reference 6

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Observation 7dc73390-c8a6-40a3-81be-3a98a975e874 · outbound

This paper cites Vlabench: A large-scale benchmark for language- conditioned robotics manipulation with long-horizon reasoning tasks,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Vlabench: A large-scale benchmark for language- conditioned robotics manipulation with long-horizon reasoning tasks,

Reference 7

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Observation afe06478-43f7-44a4-b776-a225b3aa0096 · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.440671Z

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Observation 5f8b4e17-d96e-43c0-b7be-9bf6d29f9ab6 · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.437625Z

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Observation cfc9ef6c-37b1-411c-9c53-4bcd6c99de85 · outbound

This paper cites Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Evaluating Uncertainty and Quality of Visual Language Action-enabled Robots

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-22T01:22:12.438932Z

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Observation 47568166-1f54-4670-a4fb-383836af8a48 · outbound

This paper cites The oracle problem in software testing: A survey,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models The oracle problem in software testing: A survey,

Reference 11

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Observation f402fad4-6554-44e5-81e5-a885cfe0f44d · outbound

This paper cites Libero-plus: A progressive robustness benchmark for visual-language-action models,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Libero-plus: A progressive robustness benchmark for visual-language-action models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation 5050ffe7-723b-449b-8cf9-e70af892338e · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.389459Z

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Observation 89b9ae10-d823-4bfb-a4e7-e75e947825fc · outbound

This paper cites Gradient-based learning applied to document recognition,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Gradient-based learning applied to document recognition,

Reference 14

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Observation e2f37314-8413-4fde-8400-b5240acef97f · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Imagenet classification with deep convolutional neural networks,

Reference 15

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Observation aa62ab5d-f865-4f62-ae26-7e752c7529e4 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.394004Z

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Observation 1d4797c4-c551-49cd-bebd-9a3c385be7d1 · outbound

This paper cites Going deeper with convolutions,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Going deeper with convolutions,

Reference 17

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Observation 806f71be-1ce6-491a-923b-7d803dfa2050 · outbound

This paper cites Attention is all you need,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Attention is all you need,

Reference 18

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Observation aee86f75-da0b-46bc-b099-857be12df728 · outbound

This paper cites GPT-4 Technical Report.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models GPT-4 Technical Report

Reference 19

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Observation 66921999-d3dd-4d4e-a07d-c2f980d3e4d6 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Gemini: A Family of Highly Capable Multimodal Models

Reference 20

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Observation beafb22c-9d06-421c-b229-2c040b4ac5d0 · outbound

This paper cites The Llama 3 Herd of Models.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models The Llama 3 Herd of Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.408251Z

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Observation 08689ed8-35ca-4f6d-95a0-4189e9daf010 · outbound

This paper cites Mistral 7b,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Mistral 7b,

Reference 22

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Observation cd87fcb1-e67c-495b-a73e-e895270e5c03 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.412750Z

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Observation 457a7c4c-8c1a-4986-b5bf-67c1d292455b · outbound

This paper cites Nebula: Do we evaluate vision-language-action agents correctly?,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Nebula: Do we evaluate vision-language-action agents correctly?,

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:00:01.419187Z

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Observation 41c495c1-af86-4c54-8b2b-bd7c9e8b8b20 · outbound

This paper cites World Models.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models World Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.410947Z

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Observation 92fd342d-1d07-405f-9bde-14cd8d9be666 · outbound

This paper cites A step toward world models: A survey on robotic manipulation.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models A step toward world models: A survey on robotic manipulation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:00:01.405276Z

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Observation 158070a9-39aa-4c8f-936f-18ec9c8d026b · outbound

This paper cites Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.415838Z

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Observation 01f9fbe5-ef46-4517-809f-71c45f84ec79 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Cosmos World Foundation Model Platform for Physical AI

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.407133Z

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Observation 344c13e2-cfd4-46e5-8acc-aa5e673fecaa · outbound

This paper cites Understanding world or predicting future? a comprehensive survey of world models,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Understanding world or predicting future? a comprehensive survey of world models,

Reference 29

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Observation 6e2df9bb-5655-4e2c-87f3-2c6322d96474 · outbound

This paper cites DeepSeek-V3 Technical Report.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models DeepSeek-V3 Technical Report

Reference 30

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Observation 9406f23d-34bc-4c89-8b67-82927c27f2a3 · outbound

This paper cites OpenAI GPT-5 System Card.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models OpenAI GPT-5 System Card

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.365140Z

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Observation 66fd2b65-c7e5-4993-83a9-0741fddac219 · outbound

This paper cites Introducing mistral 3 — mistral ai,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Introducing mistral 3 — mistral ai,

Reference 32

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Observation e89befe3-251d-40b0-9d96-8f5e184619fa · outbound

This paper cites Guidelines for Empirical Studies in Software Engineering involving Large Language Models.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Guidelines for Empirical Studies in Software Engineering involving Large Language Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.428300Z

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Observation 3947be74-61a3-4fe9-a8ce-7513b2e63fb4 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Sentence-bert: Sentence embeddings using siamese bert-networks,

Reference 34

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Observation 24ad3bb9-672c-418e-b0a2-125c0563d3b9 · outbound

This paper cites Semeval- 2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Semeval- 2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation,

Reference 35

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Observation 7f37c436-bb59-40c6-93e9-52659ef25ec6 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models BERTScore: Evaluating Text Generation with BERT

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.409915Z

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Observation 739df8ac-ea51-443f-8d23-9d39ae0fdf95 · outbound

This paper cites Rudolph,Convergence properties of evolutionary algorithms.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Rudolph,Convergence properties of evolutionary algorithms

Reference 37

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Observation 285ff2fc-6d82-4e24-9f85-2e1aa8f6b3b9 · outbound

This paper cites On the analysis of the (1+ 1) evolutionary algorithm,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models On the analysis of the (1+ 1) evolutionary algorithm,

Reference 38

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Observation 17051788-abb6-4b68-8487-cf10161195df · outbound

This paper cites Search-based software engineering,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Search-based software engineering,

Reference 39

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Observation 08ecafaf-e6c0-4578-9721-67bdcc47f5bb · outbound

This paper cites an unresolved cited work.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Unresolved cited work

Reference 40

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Observation 2099daf9-31f7-401f-adfc-bc80df2fd5c4 · outbound

This paper cites Genetic algorithms in search, optimization, and ma- chine learning. addison,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Genetic algorithms in search, optimization, and ma- chine learning. addison,

Reference 41

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Observation 0bbd67ba-23ac-47f0-9aae-54df14046eca · outbound

This paper cites an unresolved cited work.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Unresolved cited work

Reference 42

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Observation 24f33d9d-fef3-4d37-99bf-1541ca43f517 · outbound

This paper cites an unresolved cited work.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation 09b7b3d7-99d9-4383-99e2-f99d66fbf65b · outbound

This paper cites How genetic algorithms really work: I. mutation and hillclimbing,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models How genetic algorithms really work: I. mutation and hillclimbing,

Reference 44

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Observation 8ea8295c-265a-4bb5-8754-8715045aad39 · outbound

This paper cites Sentence embedding models for similarity detection of software requirements,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Sentence embedding models for similarity detection of software requirements,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation 725b8c15-2782-495a-8cb6-37a138b9ac17 · outbound

This paper cites On termination criteria of evolutionary algorithms,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models On termination criteria of evolutionary algorithms,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation bd237afa-7821-4719-9db6-50014371aa50 · outbound

This paper cites An orthogonal genetic algorithm with quantization for global numerical optimization,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models An orthogonal genetic algorithm with quantization for global numerical optimization,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation c67d1800-a1b8-4344-85f8-b686fa9d8294 · outbound

This paper cites An empirical study of the non-determinism of chatgpt in code generation,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models An empirical study of the non-determinism of chatgpt in code generation,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation b3734d7d-2ce2-43b7-a863-c9f2006e3ed9 · outbound

This paper cites Evaluation and benchmarking of llm agents: A survey,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Evaluation and benchmarking of llm agents: A survey,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation 7ff45daa-fa3e-4fda-bc21-f647e1a8b0ae · outbound

This paper cites Hallucination to consensus: Multi-agent llms for end-to-end junit test generation,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Hallucination to consensus: Multi-agent llms for end-to-end junit test generation,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation 9b677710-daf3-4ae7-a9b0-17d272384a6a · outbound

This paper cites Towards standardized bench- marks of llms in software modeling tasks: a conceptual framework: J. c´amara et al.,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Towards standardized bench- marks of llms in software modeling tasks: a conceptual framework: J. c´amara et al.,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation 489bd7fe-4523-4e95-adc5-c23e4c1938b8 · outbound

This paper cites Exploring methods for evaluating group differences on the nsse and other surveys: Are the t-test and cohen’sd indices the most appropriate choices,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Exploring methods for evaluating group differences on the nsse and other surveys: Are the t-test and cohen’sd indices the most appropriate choices,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation 17d80457-fe09-4feb-9340-44f70e7a9247 · outbound

This paper cites an unresolved cited work.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation f9c37ca8-7574-4ecc-903f-bb96c823c4d1 · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.387450Z

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Observation 46d871d2-f2f3-4db9-977b-5a2459c94670 · outbound

This paper cites Thinkact: Vision-language-action reasoning via reinforced visual latent planning,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Thinkact: Vision-language-action reasoning via reinforced visual latent planning,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

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Observation cdb09734-bbdd-476b-a06b-5ee4db590e5b · outbound

This paper cites Automated test oracles: A survey,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Automated test oracles: A survey,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb54263-6acf-4a33-be61-d07b2237c151 · outbound

This paper cites Automatic generation of oracles for exceptional behaviors,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Automatic generation of oracles for exceptional behaviors,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e810cbe-e5d7-479c-a7a7-40e813b989b4 · outbound

This paper cites Evolutionary improvement of assertion oracles,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Evolutionary improvement of assertion oracles,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 840d3d30-955a-46d8-8f0c-5248914148b2 · outbound

This paper cites Generating automated and online test oracles for simulink models with continuous and uncertain behaviors,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Generating automated and online test oracles for simulink models with continuous and uncertain behaviors,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38336c45-458a-4581-a645-eb5855f67df9 · outbound

This paper cites Defining and generating multi-level and uncertainty-wise test oracles for cyber-physical systems: P. valle et al.,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Defining and generating multi-level and uncertainty-wise test oracles for cyber-physical systems: P. valle et al.,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdf79737-5372-47f2-a879-3af5388c6d50 · outbound

This paper cites Toga: A neural method for test oracle generation,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Toga: A neural method for test oracle generation,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af959686-2afe-410a-89ba-5401020729f6 · outbound

This paper cites Using large language models to generate junit tests: An empirical study,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Using large language models to generate junit tests: An empirical study,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad50dfb8-7ba9-4624-810d-626e071150fa · outbound

This paper cites Togll: Correct and strong test oracle generation with llms,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Togll: Correct and strong test oracle generation with llms,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e56a5c3-72d8-46b8-a999-13da0f3bc845 · outbound

This paper cites Improving deep assertion generation via fine-tuning retrieval-augmented pre-trained language models,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Improving deep assertion generation via fine-tuning retrieval-augmented pre-trained language models,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496d9268-3670-49a2-b411-56519845bc57 · outbound

This paper cites Chatassert: Llm-based test oracle generation with external tools assistance,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Chatassert: Llm-based test oracle generation with external tools assistance,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db292dee-3960-4bf9-a3b2-d87d755f5df9 · outbound

This paper cites Augmentest: Enhancing tests with llm-driven oracles,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Augmentest: Enhancing tests with llm-driven oracles,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da743d2-d599-4704-a8eb-0f1dc870a90e · outbound

This paper cites Zhang, Zheng Lin, Meng Luo, Qianru Zhang, and See-Kiong Ng.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Zhang, Zheng Lin, Meng Luo, Qianru Zhang, and See-Kiong Ng

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T18:00:01.400721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 02c16116-3ad4-49e9-938e-153239aeed68 · outbound

This paper cites MASTOR: A Multi-Agent Approach to Semantic Test Oracle Generation for RESTful APIs.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models MASTOR: A Multi-Agent Approach to Semantic Test Oracle Generation for RESTful APIs

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.403946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ead9a41e-11c6-4291-a14d-5293ee86cf6a · outbound

This paper cites Data-driven grasp synthesis—a survey,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Data-driven grasp synthesis—a survey,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc53e519-e6b2-42c4-97bb-a110b93c1a9d · outbound

This paper cites Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.422122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ea5e4cf-11af-48ee-b91b-f9a0a7fdf6c8 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Imagenet: A large-scale hierarchical image database,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13e971f-1a81-461a-98f0-2ef06e7c5818 · outbound

This paper cites Microsoft coco: Common objects in context,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Microsoft coco: Common objects in context,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 243fd097-fbb5-4c74-ae02-2c1b85b8c5fc · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Bleu: a method for automatic evaluation of machine translation,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ba9d1ce-66c1-46ba-8576-e1c0475eff62 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Rouge: A package for automatic evaluation of summaries,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a797abd-270a-4b85-b695-5c3f85858a22 · outbound

This paper cites Exploring the limits of vision-language-action manipulations in cross-task generalization.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Exploring the limits of vision-language-action manipulations in cross-task generalization

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:00:01.434438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 42673a39-889b-48e5-933b-039500523b22 · outbound

This paper cites From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T18:00:01.458115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5fb99238-c43b-47f2-a6ae-0c0e0015f44c · outbound

This paper cites VLAs are Confined yet Capable of Generalizing to Novel Instructions.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models VLAs are Confined yet Capable of Generalizing to Novel Instructions

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T18:00:01.431274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation beff3d6d-8eb2-4e9f-a0d3-a96db130d3f6 · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Rlbench: The robot learning benchmark & learning environment,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d02a05d4-0a70-45ee-afe3-85cf9c2fb996 · outbound

This paper cites Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-06-25T23:07:27.176553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 813134b9-d2ad-495a-8a11-6601be0e3c16 · outbound

This paper cites LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:00:01.425200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 38086833-4aa8-4830-b800-edefdd1cf50c · outbound

This paper cites FATE-VLA:Failue-aware test generation for vision-language-action models.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models FATE-VLA:Failue-aware test generation for vision-language-action models

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.461199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2c096e76-f737-48fd-b50d-5588882133f6 · outbound

This paper cites VISOR: A Vision-Language Model-based Test Oracle for Testing Robots.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models VISOR: A Vision-Language Model-based Test Oracle for Testing Robots

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:00:01.450955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ffc9d96a-3e06-4bf8-be2b-e3f5a6aef497 · outbound

This paper cites Metamorphic testing of vision-language action-enabled robots,.

MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models Metamorphic testing of vision-language action-enabled robots,

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-07-04T18:00:01.454435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers