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Paper Citation Record · LEDGER

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2512.24625.

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

pith.paper-citation-record.v1
2512.24625 v3

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T13:22:29.724494Z

measured 47 of 47 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

47 of 47 outbound references displayed

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Outbound references

Observation f59c54b3-1cd0-4ee0-a5f9-739dd01dc42a · outbound

This paper cites A., Piamrat, K., and Ji, Y.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt A., Piamrat, K., and Ji, Y

Reference 1

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Observation bcb7586f-e313-4881-b9f5-f81406d78668 · outbound

This paper cites Federated Learning with Personalization Layers.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Federated Learning with Personalization Layers

Reference 2

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Observation 65f846c2-cf40-4fb1-af2e-7cfeff93c18e · outbound

This paper cites T., Dauwels, J., Goh, C.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt T., Dauwels, J., Goh, C

Reference 3

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Observation 709e42d5-3424-4108-b1cc-e4b11157ee40 · outbound

This paper cites Adap- tive graph convolutional recurrent network for traffic forecasting.Advances in neural information process- ing systems, 33:17804–17815, 2020.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Adap- tive graph convolutional recurrent network for traffic forecasting.Advances in neural information process- ing systems, 33:17804–17815, 2020

Reference 4

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Observation c22c9fcd-9b42-411e-b7d8-d2a80df8f148 · outbound

This paper cites FeedSign: Robust Full-parameter Federated Fine-tuning of Large Models with Extremely Low Communication Overhead of One Bit.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt FeedSign: Robust Full-parameter Federated Fine-tuning of Large Models with Extremely Low Communication Overhead of One Bit

Reference 5

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Observation d6f608d7-adb3-432e-a337-c9ff9d8fd70a · outbound

This paper cites O., Pfister, T., Zheng, Y ., Ye, W., and Liu, Y.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt O., Pfister, T., Zheng, Y ., Ye, W., and Liu, Y

Reference 6

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Observation 50df3227-b46a-474b-90a7-f760445c19ea · outbound

This paper cites Dual prompt personalized federated learning in foun- dation models.Scientific Reports, 15(1):28026, 2025.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Dual prompt personalized federated learning in foun- dation models.Scientific Reports, 15(1):28026, 2025

Reference 7

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Observation fa815d9f-93b1-4db6-b599-c1bdb8143f30 · outbound

This paper cites University of California, Berkeley, 2002.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt University of California, Berkeley, 2002

Reference 8

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Observation 0561f323-b184-4984-9657-442fe9184d54 · outbound

This paper cites An overview of domain- specific foundation model: key technologies, appli- cations and challenges.Science China Information Sciences, 69(1):111301, 2026.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt An overview of domain- specific foundation model: key technologies, appli- cations and challenges.Science China Information Sciences, 69(1):111301, 2026

Reference 9

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Observation 02d6757d-0170-4167-80eb-eac5aafdb980 · outbound

This paper cites an unresolved cited work.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

Reference 10

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Observation d4578e49-78aa-410a-a096-4455ed6cca73 · outbound

This paper cites Personalized Federated Learning: A Meta-Learning Approach.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Personalized Federated Learning: A Meta-Learning Approach

Reference 11

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Observation 09f75293-ea7a-4afb-806c-c06756e13f0e · outbound

This paper cites When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt When spatio-temporal meet wavelets: Disentangled traffic forecasting via efficient spectral graph attention networks

Reference 12

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Observation 73cd2556-fd49-4cca-9ab9-c902ee71a57f · outbound

This paper cites O., and Yoon, J.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt O., and Yoon, J

Reference 13

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Observation c511462b-dd3e-44b5-a0d5-f8f59d2587d5 · outbound

This paper cites an unresolved cited work.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

Reference 14

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Observation c2b32dbf-f5ec-429a-a7df-ff9359a66ef5 · outbound

This paper cites Timedp: Learning to generate multi-domain time series with domain prompts.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Timedp: Learning to generate multi-domain time series with domain prompts

Reference 15

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Observation 8d73f45e-f5cb-4850-b693-f5a5aa0eb5db · outbound

This paper cites Time-llm: Time series forecasting by reprogramming large language models.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Time-llm: Time series forecasting by reprogramming large language models

Reference 16

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Observation b32b8a03-591e-4531-bdc1-93bbd03acb89 · outbound

This paper cites an unresolved cited work.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

Reference 17

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Observation 17ac55e9-7fbc-40c4-a726-3b2327ce2f4f · outbound

This paper cites Fast-convergent and communication-alleviated heterogeneous hierarchical federated learning in autonomous driving.IEEE Trans- actions on Intelligent Transportation Systems, 2025.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Fast-convergent and communication-alleviated heterogeneous hierarchical federated learning in autonomous driving.IEEE Trans- actions on Intelligent Transportation Systems, 2025

Reference 18

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Observation df3b61dd-7da7-4c78-8a06-516f4d981bde · outbound

This paper cites an unresolved cited work.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

Reference 19

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Observation cb62ed0d-dac3-4439-b8e7-d9c78981f37d · outbound

This paper cites an unresolved cited work.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

Reference 20

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Observation d5c41d16-ccab-40e2-bec3-da208a1e0d28 · outbound

This paper cites K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt K., Zaheer, M., Sanjabi, M., Talwalkar, A., and Smith, V

Reference 21

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Observation bc780e2e-79a0-4c17-979d-4a2ace5bf4c9 · outbound

This paper cites FedBN: Federated Learning on Non-IID Features via Local Batch Normalization.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Reference 22

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Observation 6212144d-fe9e-4d68-beed-993a2c4de786 · outbound

This paper cites A Survey on Prompt Tuning.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt A Survey on Prompt Tuning

Reference 23

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Observation 5ad981c1-5d94-45c2-b6d1-d9557c677d4a · outbound

This paper cites Discovering spatio-temporal causal interactions in traffic data streams.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Discovering spatio-temporal causal interactions in traffic data streams

Reference 24

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Observation aa7c9963-661f-41c1-ba15-4249970d5022 · outbound

This paper cites an unresolved cited work.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

Reference 25

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Observation a9b17f11-635d-49c8-8185-1af5af436a8c · outbound

This paper cites H., Nguyen, V .-D., Luu, Q.-T., Gian, T.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt H., Nguyen, V .-D., Luu, Q.-T., Gian, T

Reference 26

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Observation f9958033-9ab5-48e0-9712-0b05ee388985 · outbound

This paper cites A review of federated learning methods in heterogeneous sce- narios.IEEE Transactions on Consumer Electronics, 70(3):5983–5999, 2024.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt A review of federated learning methods in heterogeneous sce- narios.IEEE Transactions on Consumer Electronics, 70(3):5983–5999, 2024

Reference 27

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Observation 83648c69-da2c-4068-a964-da0d0c946818 · outbound

This paper cites Federated learning in a medical context: a systematic literature review.ACM Transactions on Internet Technology (TOIT), 21(2):1–31, 2021.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Federated learning in a medical context: a systematic literature review.ACM Transactions on Internet Technology (TOIT), 21(2):1–31, 2021

Reference 28

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Observation 0f8f74f1-f63f-41f3-921b-c085f9079fbc · outbound

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

Reference 29

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Observation cea3a8e5-a791-4ea9-9647-f9dc2ce7142c · outbound

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

Reference 30

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Observation d9f0c51b-d4d0-431c-9a3b-3bcf3f48cd90 · outbound

This paper cites and Li, S.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt and Li, S

Reference 31

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Observation 3918b5c9-d756-47c3-9eee-141795e2eb6e · outbound

This paper cites and Li, S.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt and Li, S

Reference 32

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Observation bbada34d-69e3-471d-9fcf-9c5c9760996c · outbound

This paper cites Explainable spa- tiotemporal multi-task learning for electric vehicle charging demand prediction.Applied Energy, 384: 125460, 2025.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Explainable spa- tiotemporal multi-task learning for electric vehicle charging demand prediction.Applied Energy, 384: 125460, 2025

Reference 33

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Observation e41379d8-62f7-427a-b6f2-5df2db40bbab · outbound

This paper cites Personalized federated learning with moreau envelopes.Advances in neural information processing systems, 33:21394– 21405, 2020.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Personalized federated learning with moreau envelopes.Advances in neural information processing systems, 33:21394– 21405, 2020

Reference 34

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Observation f8d26bbd-f6f0-43fe-8186-2ee0938bbe46 · outbound

This paper cites Z., Yu, H., Cui, L., and Yang, Q.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Z., Yu, H., Cui, L., and Yang, Q

Reference 35

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Observation 2bb88069-e435-43c6-bce2-879a3870bd5b · outbound

This paper cites A., Bao, Z., Zheng, B., Choudhury, F.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt A., Bao, Z., Zheng, B., Choudhury, F

Reference 36

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Observation d4cce4fc-d006-4046-963c-3e44407ab27b · outbound

This paper cites and Salim, F.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt and Salim, F

Reference 37

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Observation af2b9f18-a472-40bb-b781-84b9cfd98bb4 · outbound

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Traffic flow prediction using lstm with feature enhancement

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Observation d506a2dd-2937-448b-bc0f-e1cdc650059e · outbound

This paper cites an unresolved cited work.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

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Observation 018a7e4b-a14e-4caa-bdaf-f9d5a2c28c36 · outbound

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt A survey on federated learning.Knowledge-Based Systems, 216:106775, 2021

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Observation 9fe484f8-d9ad-4f46-8134-d9e5e8e7d301 · outbound

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt An improved k-nearest neighbor model for short-term traffic flow prediction.Procedia-Social and Behav- ioral Sciences, 96:653–662, 2013

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Observation d41b0f53-0854-4e97-87f7-d179e19a5695 · outbound

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt A survey on federated learning in intelli- gent transportation systems.IEEE Transactions on Intelligent Vehicles, 2024

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Observation 01890e49-6af7-4dd7-859a-4376c6ef84a1 · outbound

This paper cites an unresolved cited work.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Unresolved cited work

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no resolver link, observed 2026-08-03T13:22:29.207016Z

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Observation 73505dbc-451e-4134-a2ae-0e27eb6faea1 · outbound

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Csi-bert2: A bert-inspired framework for efficient csi prediction and classification in wireless commu- nication and sensing.IEEE Transactions on Mobile Computing, pp

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Traffic pattern sharing for federated traffic flow prediction with personalization

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Observation e349aa2d-625f-4a80-a89d-3abc16c8b1f0 · outbound

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AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt Fedtps: traffic pattern sharing for personal- ized federated traffic flow prediction.Knowledge and Information Systems, pp

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Source-reported events for the cited work

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Observation 9d402e0d-7fce-428b-a0bd-261da98a496a · outbound

This paper cites A comprehensive survey on transfer learning.Proceedings of the IEEE, 109(1): 43–76, 2020.

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt A comprehensive survey on transfer learning.Proceedings of the IEEE, 109(1): 43–76, 2020

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Pith citing papers

No inbound Pith citation observations are available.