Paper Citation Record · LEDGER

Position: Foundation Models Need Digital Twin Representations

As of 17 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 5 inbound Pith citation observations for arXiv:2505.03798.

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

pith.paper-citation-record.v1
2505.03798 v1

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:36:50.158611Z

measured 105 of 105 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:23.368139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:48:46.266547Z

Reference resolution

100 of 105 outbound references displayed

verified exact5
verified fuzzy26
unresolved69
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08ab0afc-608a-4ea2-a9a2-ed2008105e82 · outbound

This paper cites Generating Out-Of-Distribution Scenarios Using Language Models.

Position: Foundation Models Need Digital Twin Representations Generating Out-Of-Distribution Scenarios Using Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:36:51.260903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 01cc8f77-ba97-4c9e-a17c-7e158446824a · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Position: Foundation Models Need Digital Twin Representations Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.694585Z

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Observation b0d0943b-7efb-459b-9594-d183ad1f52ec · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook.

Position: Foundation Models Need Digital Twin Representations Foundation models defining a new era in vision: a survey and outlook

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.700027Z

Source-reported events for the cited work

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Observation 7847db26-ba4d-4cb6-b6da-cc103f7505ee · outbound

This paper cites Synthetic vision: Training vision-language models to understand physics.

Position: Foundation Models Need Digital Twin Representations Synthetic vision: Training vision-language models to understand physics

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.704712Z

Source-reported events for the cited work

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Observation a1da8178-aa9b-4be9-ba40-06b6e10fb771 · outbound

This paper cites Physics-aware machine learning surrogates for real-time manufacturing digital twin.

Position: Foundation Models Need Digital Twin Representations Physics-aware machine learning surrogates for real-time manufacturing digital twin

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.709439Z

Source-reported events for the cited work

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Observation c8ca68d4-dc45-4cdc-9852-af81ab30cfaf · outbound

This paper cites Perception Tokens Enhance Visual Reasoning in Multimodal Language Models.

Position: Foundation Models Need Digital Twin Representations Perception Tokens Enhance Visual Reasoning in Multimodal Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.714391Z

Source-reported events for the cited work

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Observation 67622661-6e30-4677-a4e6-dbb7aa8cda11 · outbound

This paper cites Digital twin driven human–robot collaborative assembly.

Position: Foundation Models Need Digital Twin Representations Digital twin driven human–robot collaborative assembly

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.719758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5231d05-cb85-4058-8925-d09d20ef64e7 · outbound

This paper cites Digital twins for large electric drive trains.

Position: Foundation Models Need Digital Twin Representations Digital twins for large electric drive trains

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.724239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a43008a-296c-4bfe-82bf-5dfa21bb79f1 · outbound

This paper cites Subobject-level Image Tokenization.

Position: Foundation Models Need Digital Twin Representations Subobject-level Image Tokenization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.728895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ce44861-bcc7-4c39-a018-08e97efb129b · outbound

This paper cites Multi-modal generative ai: Multi-modal llm, diffusion and beyond.

Position: Foundation Models Need Digital Twin Representations Multi-modal generative ai: Multi-modal llm, diffusion and beyond

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.733744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c753b8-addd-4775-8b1b-7239b87bc5b9 · outbound

This paper cites Digital behavioral twins for safe connected cars.

Position: Foundation Models Need Digital Twin Representations Digital behavioral twins for safe connected cars

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.738486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 462c2034-1b47-4ee3-afb7-52212ddc116b · outbound

This paper cites Integrated and intelligent manufacturing: Perspectives and enablers.Engineering, 3(5):588–595, 2017.

Position: Foundation Models Need Digital Twin Representations Integrated and intelligent manufacturing: Perspectives and enablers.Engineering, 3(5):588–595, 2017

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.743437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1b9e23-afc1-4819-b585-88a3681dcff4 · outbound

This paper cites Revisiting multimodal representation in contrastive learning: from patch and token embeddings to finite discrete tokens.

Position: Foundation Models Need Digital Twin Representations Revisiting multimodal representation in contrastive learning: from patch and token embeddings to finite discrete tokens

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.747841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a8dd4be-7b4f-452d-b6d7-10e7a8802b89 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Position: Foundation Models Need Digital Twin Representations Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.752459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1f6bd10-1953-4a0c-a2e4-08b59f14f8ad · outbound

This paper cites Emerging property of masked token for effective pre-training.

Position: Foundation Models Need Digital Twin Representations Emerging property of masked token for effective pre-training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.757225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 067ced93-695a-47b0-b0e9-b0bccf90e656 · outbound

This paper cites Modeling for (physical) biologists: an introduction to the rule-based approach.

Position: Foundation Models Need Digital Twin Representations Modeling for (physical) biologists: an introduction to the rule-based approach

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.761695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beaa8f06-f078-4ac9-b4b2-13c7e8b07eed · outbound

This paper cites Abstract representations emerge in human hippocampal neurons during inference.

Position: Foundation Models Need Digital Twin Representations Abstract representations emerge in human hippocampal neurons during inference

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.766194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53613a64-2e77-4f6b-882e-fff8118605da · outbound

This paper cites Acdc: Automated creation of digital cousins for robust policy learning.

Position: Foundation Models Need Digital Twin Representations Acdc: Automated creation of digital cousins for robust policy learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.770758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6da719-165e-4b73-a63f-a3db7fb1003a · outbound

This paper cites T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings.

Position: Foundation Models Need Digital Twin Representations T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.775404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b303af6-a5d1-4830-8d13-549dd263e86e · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Position: Foundation Models Need Digital Twin Representations BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.780191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c1100c-902f-4e1b-a1be-f61d40739557 · outbound

This paper cites Digital twin: Data exploration, architecture, implementation and future.

Position: Foundation Models Need Digital Twin Representations Digital twin: Data exploration, architecture, implementation and future

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.784895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535e85d1-d993-46c4-a177-2165203774f2 · outbound

This paper cites Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding.

Position: Foundation Models Need Digital Twin Representations Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.789405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 816c53df-dc02-4ab5-aa59-d48205924d5c · outbound

This paper cites Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models.

Position: Foundation Models Need Digital Twin Representations Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.793945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3adf09df-5103-4818-9049-77908496b559 · outbound

This paper cites Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation.

Position: Foundation Models Need Digital Twin Representations Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.798746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72a38d2c-0e82-47e1-8c3f-a94049e0877d · outbound

This paper cites InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD.

Position: Foundation Models Need Digital Twin Representations InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.803709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 359334fc-0d4a-4d5c-afd6-4a20bd2ed71d · outbound

This paper cites Digital twins: Understanding the added value of integrated models for through-life engineering services.

Position: Foundation Models Need Digital Twin Representations Digital twins: Understanding the added value of integrated models for through-life engineering services

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.808283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f177e274-8d9a-40d7-b3b4-678d8c4b94a5 · outbound

This paper cites Foundation models in robotics: Applications, challenges, and the future.

Position: Foundation Models Need Digital Twin Representations Foundation models in robotics: Applications, challenges, and the future

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.812877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b0823d6-fb41-426d-baa0-0b75d650f649 · outbound

This paper cites Digital twin: Enabling technologies, challenges and open research.

Position: Foundation Models Need Digital Twin Representations Digital twin: Enabling technologies, challenges and open research

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.817203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a04393-b2f8-4611-a5a7-0f03a3ebe5e4 · outbound

This paper cites What prevents us from reusing medical real-world data in research.

Position: Foundation Models Need Digital Twin Representations What prevents us from reusing medical real-world data in research

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.821699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a9360ae-e193-4c9f-92f7-d27b0d778ac7 · outbound

This paper cites The digital twin paradigm for future nasa and us air force vehicles.

Position: Foundation Models Need Digital Twin Representations The digital twin paradigm for future nasa and us air force vehicles

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.826196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375ef798-89d1-4ac4-9359-8bf6b146fa62 · outbound

This paper cites The Essential Role of Causality in Foundation World Models for Embodied AI.

Position: Foundation Models Need Digital Twin Representations The Essential Role of Causality in Foundation World Models for Embodied AI

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.830660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da604fa3-97ab-4106-9b53-b3d4f4e9bf9c · outbound

This paper cites Synthetic Data in AI: Challenges, Applications, and Ethical Implications.

Position: Foundation Models Need Digital Twin Representations Synthetic Data in AI: Challenges, Applications, and Ethical Implications

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.835256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73e91d1-de5e-4ae6-9389-ade82ed7bae5 · outbound

This paper cites Semantic-aware digital twin for metaverse: A comprehensive review.

Position: Foundation Models Need Digital Twin Representations Semantic-aware digital twin for metaverse: A comprehensive review

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.840297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f84bc782-eb47-4b55-815c-5295c525af5c · outbound

This paper cites Towards building a digital twin of complex system using causal modelling.

Position: Foundation Models Need Digital Twin Representations Towards building a digital twin of complex system using causal modelling

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.844670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88379bcf-760c-422a-b336-2f6b84c23c26 · outbound

This paper cites Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction.

Position: Foundation Models Need Digital Twin Representations Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.849391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b749debf-98a2-47ed-80b2-1d3dedd00da1 · outbound

This paper cites Can Large Language Models Infer Causation from Correlation?.

Position: Foundation Models Need Digital Twin Representations Can Large Language Models Infer Causation from Correlation?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.854217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc9a3479-851f-4d34-9ff6-6f2041fc6260 · outbound

This paper cites Twinlab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins.

Position: Foundation Models Need Digital Twin Representations Twinlab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.859169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b773fa-8d9f-41bb-ba07-b5a6b1876977 · outbound

This paper cites Scaling Laws for Neural Language Models.

Position: Foundation Models Need Digital Twin Representations Scaling Laws for Neural Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.863522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292f2c04-3859-42ad-9191-ff24cc546f0c · outbound

This paper cites Data- driven physics-based digital twins via a library of component-based reduced-order models.

Position: Foundation Models Need Digital Twin Representations Data- driven physics-based digital twins via a library of component-based reduced-order models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.868123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221031f0-4e4d-4071-b8ab-9d1d6c20cbdb · outbound

This paper cites A probabilistic graphical model foundation for enabling predictive digital twins at scale.

Position: Foundation Models Need Digital Twin Representations A probabilistic graphical model foundation for enabling predictive digital twins at scale

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.872437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f47b97-082b-4284-bb91-97d7919e1884 · outbound

This paper cites Digital twins for health: a scoping review.

Position: Foundation Models Need Digital Twin Representations Digital twins for health: a scoping review

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.876873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c53206-8060-453d-b7b5-efa3df99abad · outbound

This paper cites Digital twin in fluid power: Reviewing constituents.

Position: Foundation Models Need Digital Twin Representations Digital twin in fluid power: Reviewing constituents

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.881293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd6a758-b7a1-4de0-af67-9ed08c7fc836 · outbound

This paper cites Drawbacks of artificial intelligence and their potential solutions in the healthcare sector.

Position: Foundation Models Need Digital Twin Representations Drawbacks of artificial intelligence and their potential solutions in the healthcare sector

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.803385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d62472f4-6987-4d8e-b027-3cd92318194e · outbound

This paper cites Geometric coherence of a digital twin: A discussion.

Position: Foundation Models Need Digital Twin Representations Geometric coherence of a digital twin: A discussion

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.786584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad732b2d-9ce0-4727-b3e9-49dce6d72af7 · outbound

This paper cites Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens.

Position: Foundation Models Need Digital Twin Representations Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.895129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d86a3cf0-47bb-45f5-b361-adb9efce5ede · outbound

This paper cites MiniMax-01: Scaling Foundation Models with Lightning Attention.

Position: Foundation Models Need Digital Twin Representations MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.899825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a8682fc-f8c0-45cc-9bf0-afd82d5cf5e7 · outbound

This paper cites Multimodal foundation models: From specialists to general-purpose assistants.

Position: Foundation Models Need Digital Twin Representations Multimodal foundation models: From specialists to general-purpose assistants

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.904547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18a879f8-ad16-425e-b3ad-d456262167b7 · outbound

This paper cites Look Within, Why LLMs Hallucinate: A Causal Perspective.

Position: Foundation Models Need Digital Twin Representations Look Within, Why LLMs Hallucinate: A Causal Perspective

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.908942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4712afeb-004d-458e-88c0-f477ac84f3cd · outbound

This paper cites Scaling capability in token space: An analysis of large vision language model.

Position: Foundation Models Need Digital Twin Representations Scaling capability in token space: An analysis of large vision language model

Reference 49

Resolution: verified exact; raw_fallback, observed 2026-08-16T04:36:50.825370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 04b3b5c3-75bb-41da-b2e2-041ca1efffe7 · outbound

This paper cites Multi-Token Enhancing for Vision Representation Learning.

Position: Foundation Models Need Digital Twin Representations Multi-Token Enhancing for Vision Representation Learning

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:36:50.756103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10f426b4-184d-40bb-86d2-ba8ecb4cbc6b · outbound

This paper cites KeyVideoLLM: Towards Large-scale Video Keyframe Selection.

Position: Foundation Models Need Digital Twin Representations KeyVideoLLM: Towards Large-scale Video Keyframe Selection

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.922946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74a2a7f7-4713-4ea8-b722-f769c5bd8be7 · outbound

This paper cites Few-shot adaptation of multi-modal foundation models: A survey.

Position: Foundation Models Need Digital Twin Representations Few-shot adaptation of multi-modal foundation models: A survey

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.927773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93de7833-3ffd-412e-b6ff-f30f4cdac922 · outbound

This paper cites The role of data fusion in predictive maintenance using digital twin.

Position: Foundation Models Need Digital Twin Representations The role of data fusion in predictive maintenance using digital twin

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.748520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 433dc3f0-eb51-4b7a-942f-2ce87379da80 · outbound

This paper cites Leveraging digital twin technology in model-based systems engineering.

Position: Foundation Models Need Digital Twin Representations Leveraging digital twin technology in model-based systems engineering

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.731245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e6f489b-6f9c-44e1-b441-3b03f598ffc9 · outbound

This paper cites Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry.

Position: Foundation Models Need Digital Twin Representations Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.715511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 823fc03f-f560-4766-9af4-9974394aba88 · outbound

This paper cites On the Challenges and Opportunities in Generative AI.

Position: Foundation Models Need Digital Twin Representations On the Challenges and Opportunities in Generative AI

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.946975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dc7fcb9-a20d-4748-9a84-cb0d148bc801 · outbound

This paper cites Multimodality representation learning: A survey on evolution, pretraining and its applications.

Position: Foundation Models Need Digital Twin Representations Multimodality representation learning: A survey on evolution, pretraining and its applications

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.697143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1db54941-0450-4ab2-b81f-2aa2b485e3f8 · outbound

This paper cites On the Effects of Modeling on the Sim-to-Real Transfer Gap in Twinning the POWDER Platform.

Position: Foundation Models Need Digital Twin Representations On the Effects of Modeling on the Sim-to-Real Transfer Gap in Twinning the POWDER Platform

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:36:50.703529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a4453e1c-92a4-45fd-8f39-26a61a2955d2 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Position: Foundation Models Need Digital Twin Representations Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.960972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b8514e5-573c-478c-a551-75c273c98ddd · outbound

This paper cites Smart city digital twins.

Position: Foundation Models Need Digital Twin Representations Smart city digital twins

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.669241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3e9cef8-49ca-4284-9a78-eb8b17b237df · outbound

This paper cites Foundation models for generalist medical artificial intelligence.

Position: Foundation Models Need Digital Twin Representations Foundation models for generalist medical artificial intelligence

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.970029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99f3fed1-372e-40ab-b68b-e7b68dc5c6e7 · outbound

This paper cites TWICE Dataset: Digital Twin of Test Scenarios in a Controlled Environment.

Position: Foundation Models Need Digital Twin Representations TWICE Dataset: Digital Twin of Test Scenarios in a Controlled Environment

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:36:50.680838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3a2bb0e-85f8-4263-95f9-52aa70fd6cad · outbound

This paper cites TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation.

Position: Foundation Models Need Digital Twin Representations TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.979479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09c3921-a757-446a-a469-9a301516c44a · outbound

This paper cites The structure of the token space for large language models.

Position: Foundation Models Need Digital Twin Representations The structure of the token space for large language models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.984143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5005163c-790d-4ac3-b4e3-165f9c648cf6 · outbound

This paper cites Vision transformers with mixed-resolution tokenization.

Position: Foundation Models Need Digital Twin Representations Vision transformers with mixed-resolution tokenization

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.642768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0ca28c33-b2b7-4f3d-852d-f677f3212760 · outbound

This paper cites Tokenlearner: Adaptive space-time tokenization for videos.

Position: Foundation Models Need Digital Twin Representations Tokenlearner: Adaptive space-time tokenization for videos

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.626241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efb60ea2-ca25-4488-9899-da4531134a35 · outbound

This paper cites Tokenization Is More Than Compression.

Position: Foundation Models Need Digital Twin Representations Tokenization Is More Than Compression

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:49.998606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286d4bef-233c-4e86-a922-8bfc4d84a994 · outbound

This paper cites Design, modeling and implementation of digital twins.

Position: Foundation Models Need Digital Twin Representations Design, modeling and implementation of digital twins

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.609280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0885ab92-278b-4ec1-b389-e0b68fc72e12 · outbound

This paper cites An Image is Worth 16x16 Words, What is a Video Worth?.

Position: Foundation Models Need Digital Twin Representations An Image is Worth 16x16 Words, What is a Video Worth?

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.008524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf566a9a-86e7-44b5-94aa-816c6bd836f5 · outbound

This paper cites Movit: Memorizing vision transformers for medical image analysis.

Position: Foundation Models Need Digital Twin Representations Movit: Memorizing vision transformers for medical image analysis

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.592918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c541a146-21bf-49e1-a1b1-79bad27a12cf · outbound

This paper cites Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins.

Position: Foundation Models Need Digital Twin Representations Operating Room Workflow Analysis via Reasoning Segmentation over Digital Twins

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.018431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b11dcaa5-146e-49ea-98a6-e58cc519032e · outbound

This paper cites Online Reasoning Video Segmentation with Just-in-Time Digital Twins.

Position: Foundation Models Need Digital Twin Representations Online Reasoning Video Segmentation with Just-in-Time Digital Twins

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.023486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8866a81-3b17-44f9-9a97-5c7074895cf9 · outbound

This paper cites Twin-s: a digital twin for skull base surgery.

Position: Foundation Models Need Digital Twin Representations Twin-s: a digital twin for skull base surgery

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.575883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a7d8ce8-df77-43ac-b72d-395dd3acaad4 · outbound

This paper cites Ai models collapse when trained on recursively generated data.

Position: Foundation Models Need Digital Twin Representations Ai models collapse when trained on recursively generated data

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.559157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cdf0d087-26e4-46ac-a972-0ab1981867a9 · outbound

This paper cites Using constrained-disorder principle-based systems to improve the performance of digital twins in biological systems.

Position: Foundation Models Need Digital Twin Representations Using constrained-disorder principle-based systems to improve the performance of digital twins in biological systems

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.542146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dfe2fcfa-c463-4e54-b1ee-16c387335665 · outbound

This paper cites Interaction with industrial digital twin using neuro-symbolic reasoning.

Position: Foundation Models Need Digital Twin Representations Interaction with industrial digital twin using neuro-symbolic reasoning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.523374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 09beef1c-2c24-406a-a052-8cf2b258fa25 · outbound

This paper cites Reliable counterparts: efficiently testing causal relationships in digital twins.

Position: Foundation Models Need Digital Twin Representations Reliable counterparts: efficiently testing causal relationships in digital twins

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.506188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a784b8bd-8bf6-4edd-9c42-1d3d69ef2da1 · outbound

This paper cites A digital twin approach for the improvement of an autonomous mobile robots (amr’s) operating environment—a case study.

Position: Foundation Models Need Digital Twin Representations A digital twin approach for the improvement of an autonomous mobile robots (amr’s) operating environment—a case study

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.488460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8cedbf8b-f8de-47f1-ae20-70d07cead067 · outbound

This paper cites Exploring the sim2real gap using digital twins.

Position: Foundation Models Need Digital Twin Representations Exploring the sim2real gap using digital twins

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.470373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1569d460-3c3e-4a83-b1f0-d0d387203301 · outbound

This paper cites SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization.

Position: Foundation Models Need Digital Twin Representations SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.062480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7f14ed5-a1c1-4eba-8af4-fc461d8d6a57 · outbound

This paper cites Causal semantic communication for digital twins: A generalizable imitation learning approach.

Position: Foundation Models Need Digital Twin Representations Causal semantic communication for digital twins: A generalizable imitation learning approach

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.453391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 287a50b3-0a4e-459e-bb4e-67062a426e3d · outbound

This paper cites Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.

Position: Foundation Models Need Digital Twin Representations Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.071675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684c3d94-7297-490f-9914-db5f5c8eeabd · outbound

This paper cites Solving olympiad geometry without human demonstrations.

Position: Foundation Models Need Digital Twin Representations Solving olympiad geometry without human demonstrations

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.076570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7da9dbb-c270-4a09-9063-7d94528e7392 · outbound

This paper cites Neural representation of abstract task structure during generalization.

Position: Foundation Models Need Digital Twin Representations Neural representation of abstract task structure during generalization

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.423222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e1eb0b80-938f-44f5-95ec-8d20a6da729f · outbound

This paper cites Digital twin for healthcare systems.

Position: Foundation Models Need Digital Twin Representations Digital twin for healthcare systems

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.407240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b94941d-f009-45c4-bd6d-925ef38c96c4 · outbound

This paper cites The Geometry of Tokens in Internal Representations of Large Language Models.

Position: Foundation Models Need Digital Twin Representations The Geometry of Tokens in Internal Representations of Large Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.090314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d656e5-3db9-4c45-be54-0e344ad5e87c · outbound

This paper cites A Survey for Large Language Models in Biomedicine.

Position: Foundation Models Need Digital Twin Representations A Survey for Large Language Models in Biomedicine

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.095293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e05ff171-f622-4a83-9b58-f389996a3419 · outbound

This paper cites A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models.

Position: Foundation Models Need Digital Twin Representations A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.100217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b44c3a8-e975-4661-9a31-a01c232b6f74 · outbound

This paper cites A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.

Position: Foundation Models Need Digital Twin Representations A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.105187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73528be7-3bdd-4824-800b-bf0bb0a1f567 · outbound

This paper cites OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation.

Position: Foundation Models Need Digital Twin Representations OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.110055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55b8b65-5a3d-4e0c-b0ea-b34c783cebac · outbound

This paper cites Evaluating causal reasoning capabilities of large language models: A systematic analysis across three scenarios.

Position: Foundation Models Need Digital Twin Representations Evaluating causal reasoning capabilities of large language models: A systematic analysis across three scenarios

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.391533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7aef06f5-67af-49d7-a7f4-d860f7cc4189 · outbound

This paper cites Multimodal token fusion for vision transformers.

Position: Foundation Models Need Digital Twin Representations Multimodal token fusion for vision transformers

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.376200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d8639a76-f32f-405a-8b05-aa00edbd447f · outbound

This paper cites Mio: A foundation model on multimodal tokens.

Position: Foundation Models Need Digital Twin Representations Mio: A foundation model on multimodal tokens

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.124578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1090b7c7-8ebb-46aa-a418-19e420955b93 · outbound

This paper cites Can Foundation Models Talk Causality?.

Position: Foundation Models Need Digital Twin Representations Can Foundation Models Talk Causality?

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.129386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0474f6-55f8-4b0a-b71c-69033be1e46d · outbound

This paper cites Causality for Large Language Models.

Position: Foundation Models Need Digital Twin Representations Causality for Large Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.134373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96384ebc-eeae-4084-8223-9e9c90b315ad · outbound

This paper cites Towards Semantic Equivalence of Tokenization in Multimodal LLM.

Position: Foundation Models Need Digital Twin Representations Towards Semantic Equivalence of Tokenization in Multimodal LLM

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.139111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff17ca5-508c-4d54-b8c8-74983ecf537a · outbound

This paper cites Semantic alignment for multimodal large language models.

Position: Foundation Models Need Digital Twin Representations Semantic alignment for multimodal large language models

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.360633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7f4481d0-207d-4dc3-92e7-49abc70ef6cc · outbound

This paper cites SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction.

Position: Foundation Models Need Digital Twin Representations SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T04:36:50.148833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a7c3337-dd49-4f6a-84f1-9844a907d9a3 · outbound

This paper cites Developments of digital twin technologies in industrial, smart city and healthcare sectors: A survey.

Position: Foundation Models Need Digital Twin Representations Developments of digital twin technologies in industrial, smart city and healthcare sectors: A survey

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.343607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c2ec4cf8-b2d7-470c-8e0f-d835f4065525 · outbound

This paper cites A critical review of causal reasoning benchmarks for large language models.

Position: Foundation Models Need Digital Twin Representations A critical review of causal reasoning benchmarks for large language models

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:36:51.327215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 06228c88-94ec-4723-b1ee-26566f01bdfd · inbound

RVTBench: A Benchmark for Visual Reasoning Tasks cites this paper.

RVTBench: A Benchmark for Visual Reasoning Tasks Position: Foundation Models Need Digital Twin Representations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:51:23.368139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f6a796f-b9c3-43eb-afa1-2f3b46f58aae · inbound

Reasoning Segmentation for Images and Videos: A Survey cites this paper.

Reasoning Segmentation for Images and Videos: A Survey Position: Foundation Models Need Digital Twin Representations

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:16.888010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001c0005-6762-422d-ab27-bbd76c67be73 · inbound

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming cites this paper.

A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming Position: Foundation Models Need Digital Twin Representations

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:27.760938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e0199d5-8493-4970-832a-e4eeb65e3214 · inbound

Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction cites this paper.

Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction Position: Foundation Models Need Digital Twin Representations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:06:22.959059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07a53b42-1b22-4755-83f1-3c407055ffe8 · inbound

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA cites this paper.

Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA Position: Foundation Models Need Digital Twin Representations

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:48:46.268075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.