Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:26:26.336264Z
Paper Citation Record · LEDGER
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications
As of 19 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2507.21199.
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 2026-08-19T06:32:44.657259+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
64 of 64 outbound references displayed
- verified exact0
- verified fuzzy59
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 21d78f95-1c11-4270-80bf-c715b177592e · outbound
This paper cites A review on methods and applications in multimodal deep learning,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications A review on methods and applications in multimodal deep learning,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:28.014159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 601d8447-8332-4894-b01e-702a3f063228 · outbound
This paper cites On the Road with GPT-4V (ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications On the Road with GPT-4V (ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:28.004578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6e9b198c-a10e-46ff-8079-2ae2a65ce621 · outbound
This paper cites 6G-Enabled Network in Box for Internet of Connected Vehicles,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications 6G-Enabled Network in Box for Internet of Connected Vehicles,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.995429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b8559427-458f-44f7-a649-72ca0e5ef1df · outbound
This paper cites LLM Enhanced Reconfigurable Intelligent Surface for Energy-Efficient and Reliable 6G IoV,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications LLM Enhanced Reconfigurable Intelligent Surface for Energy-Efficient and Reliable 6G IoV,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.985686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4818d69b-4d2f-4b7c-8f05-5be1290c895c · outbound
This paper cites A UA V-Assisted Secure Communication System by Jointly Optimizing Transmit Power and Trajectory in the Internet of Things,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications A UA V-Assisted Secure Communication System by Jointly Optimizing Transmit Power and Trajectory in the Internet of Things,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.976353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 840d9aad-9cc2-4083-8648-fea26be8d8fe · outbound
This paper cites an unresolved cited work.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T13:26:27.966581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2063cac5-45a3-40d5-8c64-bf8a63d7aa5a · outbound
This paper cites Possible Applications of Sixth Generation Communication Networks,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Possible Applications of Sixth Generation Communication Networks,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.956698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5fcfc3be-4228-491a-a39b-23167176e09e · outbound
This paper cites Mining KPI correlations for non-parametric anomaly diagnosis in wireless networks,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Mining KPI correlations for non-parametric anomaly diagnosis in wireless networks,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.945981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f19541ab-f2fe-476f-8e82-65675ddcd72f · outbound
This paper cites A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.936521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 16a6e877-1514-4567-b8ec-a77118015199 · outbound
This paper cites 6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications 6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.925672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5cf81d7b-bdc8-4cd8-916b-a8f6aec1618b · outbound
This paper cites The Roadmap to 6G: AI Empowered Wireless Networks,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications The Roadmap to 6G: AI Empowered Wireless Networks,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.915878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ec84ed3-5590-46c3-bbb3-60aa4bf1dbdb · outbound
This paper cites Overview of AI and communication for 6G network: fundamentals, challenges, and future research opportunities,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Overview of AI and communication for 6G network: fundamentals, challenges, and future research opportunities,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.906602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c0886c7c-2848-4dcd-8b9e-938339c47af2 · outbound
This paper cites Survey on the Internet of Vehicles: Network Architectures and Appli- cations,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Survey on the Internet of Vehicles: Network Architectures and Appli- cations,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.897287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0b78bbab-8b8c-4e9d-83d4-fa10f125aae4 · outbound
This paper cites Uncovering what, why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Uncovering what, why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.888099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bd2187ea-87cf-43b8-8bfb-afe996888ed6 · outbound
This paper cites An LLM-Based vision and Language Cobot Navigation Approach for Human-Centric Smart Manufacturing,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications An LLM-Based vision and Language Cobot Navigation Approach for Human-Centric Smart Manufacturing,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.878077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0fd9e2ee-dd68-492b-8137-d78e150ef3b2 · outbound
This paper cites The smart factory as a key construct of industry 4.0: A systematic literature review,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications The smart factory as a key construct of industry 4.0: A systematic literature review,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.868036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b0cd7bc0-b8fd-4065-82f1-c949b5105b87 · outbound
This paper cites Artificial Intelligence Computing for a Smart City, G-Enabled Network in Box for Internet of Connected Vehicles,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Artificial Intelligence Computing for a Smart City, G-Enabled Network in Box for Internet of Connected Vehicles,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.858700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 75d68a8e-a1bc-4cac-b714-0c899ce178d3 · outbound
This paper cites Semisu- pervised deep reinforcement learning in support of IoT and smart city services,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Semisu- pervised deep reinforcement learning in support of IoT and smart city services,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.849013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0e0f055f-6b2d-4db5-bf52-fdf67663858e · outbound
This paper cites Cross-Task Multimodal Reinforcement for Long Tail Next POI Recommendation,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Cross-Task Multimodal Reinforcement for Long Tail Next POI Recommendation,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.838952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3d15a7bb-28c1-4793-9e24-81f734214213 · outbound
This paper cites Multi-modal Knowledge-aware Reinforcement Learning Network for Explainable Recommendation,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Multi-modal Knowledge-aware Reinforcement Learning Network for Explainable Recommendation,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.829606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 093e4af8-bcb5-423f-830a-e3ad1ea4905d · outbound
This paper cites A Hierarchical Hybrid Learning Framework for Multi-Agent Trajectory Prediction,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications A Hierarchical Hybrid Learning Framework for Multi-Agent Trajectory Prediction,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.820541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 670f7347-804a-4e5c-a67c-4c57b6021b26 · outbound
This paper cites Inter- active Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Inter- active Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.811629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2d944246-c4ad-4012-ab62-5f8da3857c9b · outbound
This paper cites Multimodal Large Language Models: A Survey,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Multimodal Large Language Models: A Survey,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.801974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a4ce3374-e8c5-493d-b8b6-bb90b1402288 · outbound
This paper cites NExT-GPT: Any-to-Any Multimodal LLM,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications NExT-GPT: Any-to-Any Multimodal LLM,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.792259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 52ac4d03-fe4d-4990-bb6b-ae9e3dc16f97 · outbound
This paper cites Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry, and Fusion,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.782383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a11688d6-c409-40c9-8964-eccf92d886f1 · outbound
This paper cites Reparameterized Policy Learning for Multimodal Trajectory Optimization,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Reparameterized Policy Learning for Multimodal Trajectory Optimization,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.771712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5329587b-a68d-427d-9232-4994e4a90e8a · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications LoRA: Low-Rank Adaptation of Large Language Models,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.760573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation abcd2cfd-b75a-405e-9aa5-ccac2553c4c8 · outbound
This paper cites Mixture-of-Experts with Expert Choice Routing,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Mixture-of-Experts with Expert Choice Routing,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.751263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fc6839c4-638d-4f10-9989-100dd83ec759 · outbound
This paper cites Data Quality- Aware Task Offloading in Mobile Edge Computing: An Optimal Stop- ping Theory Approach,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Data Quality- Aware Task Offloading in Mobile Edge Computing: An Optimal Stop- ping Theory Approach,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.740629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b70f9bc-8721-4bfc-9073-7e33e6b90a03 · outbound
This paper cites Consumer Privacy Concerns about Internet Marketing,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Consumer Privacy Concerns about Internet Marketing,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.729487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d79354f5-1cfb-4629-88fd-f7b90d919170 · outbound
This paper cites Towards QoS-aware provisioning of chained virtual security services in edge networks,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Towards QoS-aware provisioning of chained virtual security services in edge networks,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.719169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b6c3fb6-ae02-4b50-b6d6-69664e13a2af · outbound
This paper cites Mixture of experts: a literature survey,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Mixture of experts: a literature survey,
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:26:23.429040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8086d1b-aa72-4fa4-b0b8-70aa97fec8c7 · outbound
This paper cites TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:26:23.494874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29bd2067-a7fe-4362-8076-74eba3b6f7a0 · outbound
This paper cites MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.702400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d7cd87e2-28bf-4ec2-bacb-5d4af0cd9560 · outbound
This paper cites Seeded LoRA: Collaborative Fine-Tuning Through Seed Initialization of Adapters,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Seeded LoRA: Collaborative Fine-Tuning Through Seed Initialization of Adapters,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.692566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 108b27e7-1975-4f3d-9c1c-3a3bffc87925 · outbound
This paper cites Learning to Route Among Specialized Experts for Zero-Shot Generalization,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Learning to Route Among Specialized Experts for Zero-Shot Generalization,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.682618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6d01f9c8-1ae2-4ca6-9349-47ee544ce76b · outbound
This paper cites LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:26:23.796419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7de90692-cc27-400c-aebd-64695ea19ad4 · outbound
This paper cites Towards Modular LLMs by Building and Reusing a Library of LoRAs,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Towards Modular LLMs by Building and Reusing a Library of LoRAs,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.672977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9471b00f-96d1-4d67-b5a7-12dedf98cf80 · outbound
This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.662580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 40c5237c-2fce-4a4d-a68a-3c21e961ef8a · outbound
This paper cites Swarm Par- allelism: Training Large Models Can Be Surprisingly Communication- Efficient,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Swarm Par- allelism: Training Large Models Can Be Surprisingly Communication- Efficient,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.652651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 87fa37f1-c021-4eb8-837f-07d5dfe4d9fa · outbound
This paper cites PyTorch Dis- tributed: Experiences on Accelerating Data Parallel Training,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications PyTorch Dis- tributed: Experiences on Accelerating Data Parallel Training,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.642904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ca3ac8af-116d-443e-93f2-ac09dca9136d · outbound
This paper cites Petuum: A New Platform for Distributed Machine Learning on Big Data,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Petuum: A New Platform for Distributed Machine Learning on Big Data,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.632504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 07739194-0c37-4ea7-b731-6c62fdc7f804 · outbound
This paper cites Tesseract: Parallelize the Tensor Parallelism Efficiently,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Tesseract: Parallelize the Tensor Parallelism Efficiently,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.622969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8e8581fb-ffe0-40b3-aadf-60b35cf46953 · outbound
This paper cites GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.613371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0da26045-f04b-4df5-a989-7e18e2cd7a6f · outbound
This paper cites PipeMare: Asynchronous Pipeline Parallel DNN Training,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications PipeMare: Asynchronous Pipeline Parallel DNN Training,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.604496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7689b90c-251e-40c5-8c86-08598f004257 · outbound
This paper cites TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.595434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d37e0405-befd-4783-91c3-46adae678f31 · outbound
This paper cites A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.586532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1cf4f65d-9fe8-431f-a8d5-2867607142a9 · outbound
This paper cites HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.577603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation da863b49-1f8e-4656-be02-e155defaecea · outbound
This paper cites PipeDream: Generalized Pipeline Parallelism for DNN Training,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications PipeDream: Generalized Pipeline Parallelism for DNN Training,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.568724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 79abfd3e-f7d7-495a-86bb-72fbfc52aa8b · outbound
This paper cites Visual Instruction Tuning,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Visual Instruction Tuning,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.559825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9e52637e-ea97-4b5f-bca6-53d412355b8a · outbound
This paper cites HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:26:24.994164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20dfb8ad-b4b0-4ed1-8d46-c9f33c94495f · outbound
This paper cites Mixture of LoRA Experts,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Mixture of LoRA Experts,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.551292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1b639c4c-4657-4717-b7ce-9be58917a975 · outbound
This paper cites JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.541847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d42a807b-3dac-4455-bbdc-1ec4fff65d21 · outbound
This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications ZeRO: Memory Optimizations Toward Training Trillion Parameter Models,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.531547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b9642d64-219e-4108-8213-40e32fbe7405 · outbound
This paper cites Wireless Sensor-Based Traffic Light Control,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Wireless Sensor-Based Traffic Light Control,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.521147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2b9b6b37-9d27-4502-b32d-4a3c6596bf18 · outbound
This paper cites Tactile Internet for Autonomous Vehicles: Latency and Reliability Analysis,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Tactile Internet for Autonomous Vehicles: Latency and Reliability Analysis,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.511719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7b208185-0af7-4b51-9bfb-ff3b16f7622a · outbound
This paper cites Energy-Aware AI- Driven Framework for Edge-Computing-Based IoT Applications,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Energy-Aware AI- Driven Framework for Edge-Computing-Based IoT Applications,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.502567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 93c85537-dd83-4cdd-a082-c63f5a75d6af · outbound
This paper cites Vision-Aided Ultra-Reliable Low-Latency Communications for Smart Factory,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Vision-Aided Ultra-Reliable Low-Latency Communications for Smart Factory,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.493780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ba3584a7-6b00-4da2-8fec-753ab5e283ac · outbound
This paper cites Edge Computing for Autonomous Driving: Opportunities and Challenges,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Edge Computing for Autonomous Driving: Opportunities and Challenges,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.483359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cac8eff8-c769-4eb0-8c6b-fd74e3393831 · outbound
This paper cites Elastic Urban Video Surveillance System Using Edge Computing,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Elastic Urban Video Surveillance System Using Edge Computing,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.471718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b585be48-cd61-4593-ab4b-dfb4cfc429a2 · outbound
This paper cites Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.393416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 71fe1e82-51ca-414c-9205-edb3786bc7bb · outbound
This paper cites FedFMSL: Federated Learning of Foundations Models With Sparsely Activated LoRA,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications FedFMSL: Federated Learning of Foundations Models With Sparsely Activated LoRA,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:27.076542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f14edd84-65a1-4113-996a-1e2313f6dbca · outbound
This paper cites Het- erogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications Het- erogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:26.790613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 941773b7-958a-4c15-be13-799650b05a89 · outbound
This paper cites FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA,.
Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:26:26.583117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.