Paper Citation Record · LEDGER

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift

As of 15 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.09695.

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

pith.paper-citation-record.v1
2607.09695 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T17:36:18.728469Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 123a38d1-09cd-489e-a4a0-6a37a3c65355 · outbound

This paper cites AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de4c49a7-ab5a-43a6-a374-64320e0ae549 · outbound

This paper cites Exploring efficiency frontiers of thinking budget in medical reasoning: Scaling laws between computational resources and reasoning quality.arXiv:2508.12140,.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Exploring efficiency frontiers of thinking budget in medical reasoning: Scaling laws between computational resources and reasoning quality.arXiv:2508.12140,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4dbff7-7813-4870-a450-fb26a879a030 · outbound

This paper cites Exploiting shared represen- tations for personalized federated learning.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Exploiting shared represen- tations for personalized federated learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bd2006e-68c5-4a3e-86d6-ff89cb2b6d00 · outbound

This paper cites Graph inference towards icd coding.arXiv preprint arXiv:2601.07496,.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Graph inference towards icd coding.arXiv preprint arXiv:2601.07496,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a181a1-e24c-49f3-bc43-b61ff67f4df9 · outbound

This paper cites Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef808da9-45e2-45ef-a21f-22b8e4437f63 · outbound

This paper cites CoRe-Code: Collaborative Reinforcement Learning for Code Generation.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift CoRe-Code: Collaborative Reinforcement Learning for Code Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3266a6a-7378-434e-9358-d5d00b61e173 · outbound

This paper cites Multi-agent medical decision consensus matrix system: An intelligent collaborative framework for oncology mdt consultations.arXiv preprint arXiv:2512.14321,.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Multi-agent medical decision consensus matrix system: An intelligent collaborative framework for oncology mdt consultations.arXiv preprint arXiv:2512.14321,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ae4c29-c84c-4bf4-ac33-a62da10bd5e7 · outbound

This paper cites Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 760acaa2-e914-4b82-8eef-412f45d0097c · outbound

This paper cites Abductive inference in retrieval-augmented language models: Generating and validating missing premises, 2025a.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Abductive inference in retrieval-augmented language models: Generating and validating missing premises, 2025a

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af763e75-d29c-45d4-bb21-b9323cc2d457 · outbound

This paper cites From text to multimodality: Exploring the evolution and impact of large language models in medical practice, 2024a.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift From text to multimodality: Exploring the evolution and impact of large language models in medical practice, 2024a

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f746c3-0836-4f25-a829-5a2bb9779e30 · outbound

This paper cites Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ddafcbb-7c26-449c-9d38-7de7c4b3eafd · outbound

This paper cites Huanhuan Wang, Xiao Zhang, Youbing Xia, and Xiang Wu.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Huanhuan Wang, Xiao Zhang, Youbing Xia, and Xiang Wu

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 621cf58c-e0d6-42ea-81c3-d49222504b18 · outbound

This paper cites Deep Learning Model Security: Threats and Defenses.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Deep Learning Model Security: Threats and Defenses

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58dfb0a0-46e7-4d5f-b52f-68758983d879 · outbound

This paper cites Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Learning-Based Automated Adversarial Red-Teaming for Robustness Evaluation of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 135a8c4b-da03-4a58-ba4e-4b2fde954b0f · outbound

This paper cites Lumina-dimoo: An omni diffusion large language model for multi-modal generation and understanding.arXiv preprint arXiv:2510.06308, 2025a.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Lumina-dimoo: An omni diffusion large language model for multi-modal generation and understanding.arXiv preprint arXiv:2510.06308, 2025a

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f2a86ef-2010-46fd-9780-7f454d0928ef · outbound

This paper cites Chen Yang, Yangfan He, Aaron Xuxiang Tian, Dong Chen, Jianhui Wang, Tianyu Shi, Arsalan Heydarian, and Pei Liu.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Chen Yang, Yangfan He, Aaron Xuxiang Tian, Dong Chen, Jianhui Wang, Tianyu Shi, Arsalan Heydarian, and Pei Liu

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34424a21-f194-4348-ab4d-a6dfa0f5b614 · outbound

This paper cites Af- fective multimodal agents with proactive knowledge grounding for emotionally aligned marketing dialogue.arXiv preprint arXiv:2511.21728, 2025a.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Af- fective multimodal agents with proactive knowledge grounding for emotionally aligned marketing dialogue.arXiv preprint arXiv:2511.21728, 2025a

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e9124bc-3a94-467c-b661-2a4b50253fa4 · outbound

This paper cites Advanced Deep Learning Methods for Protein Structure Prediction and Design.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift Advanced Deep Learning Methods for Protein Structure Prediction and Design

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e38a82-915f-4527-a8f8-5882a6c71685 · outbound

This paper cites ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding.

FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T17:36:18.728469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.