Efficient Prompt Learning for Traffic Forecasting | Paper Citation Record

Observation e93a45c4-bffc-41db-9d78-a96b3dc857d6 · outbound

This paper cites arXiv (2019).

Efficient Prompt Learning for Traffic Forecasting arXiv (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.823873Z

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Observation 76d31edb-a4dc-4c31-a012-6a4a56115b0a · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

Efficient Prompt Learning for Traffic Forecasting Exploring Visual Prompts for Adapting Large-Scale Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:06:26.680493Z

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Observation 93eee188-a582-4356-99f9-1dfca6a9849f · outbound

This paper cites Advances in neural information processing systems33, 17,804–17,815 (2020).

Efficient Prompt Learning for Traffic Forecasting Advances in neural information processing systems33, 17,804–17,815 (2020)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.802967Z

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Observation 2017a034-58cc-474d-bbc6-7e4e7df5dafc · outbound

This paper cites Revisiting CNNs for Trajectory Similarity Learning.

Efficient Prompt Learning for Traffic Forecasting Revisiting CNNs for Trajectory Similarity Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.635876Z

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Observation 1392b6d0-54fc-462a-afd8-34fbbdbaf3a5 · outbound

This paper cites In: ICLR (2021).

Efficient Prompt Learning for Traffic Forecasting In: ICLR (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.786095Z

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Observation 43fe9ad0-ae9c-4061-8076-5510c871944a · outbound

This paper cites In: International Con- ference on Artificial Intelligence (AAAI), vol.

Efficient Prompt Learning for Traffic Forecasting In: International Con- ference on Artificial Intelligence (AAAI), vol

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.730891Z

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Observation 2797cf16-bfa9-477b-85f9-034d20c4ffa8 · outbound

This paper cites In: International Conference on Artificial Intelligence (AAAI), vol.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Artificial Intelligence (AAAI), vol

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.735950Z

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Observation 668337a3-55d4-4317-8921-cb38559a75a4 · outbound

This paper cites In: International Conference on Artificial Intelligence (AAAI), vol.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Artificial Intelligence (AAAI), vol

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.744365Z

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Observation 2258030f-8d6e-45ef-8501-5c10da2bbc29 · outbound

This paper cites LDPTrace: Locally Differentially Private Trajectory Synthesis.

Efficient Prompt Learning for Traffic Forecasting LDPTrace: Locally Differentially Private Trajectory Synthesis

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.772433Z

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Observation cd80b9d0-947a-4308-b686-af6fbeebf19a · outbound

This paper cites A Survey of Vision-Language Pre-Trained Models.

Efficient Prompt Learning for Traffic Forecasting A Survey of Vision-Language Pre-Trained Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:06:26.722342Z

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Observation 34f38073-97b8-4e0e-8c4a-d5f399364221 · outbound

This paper cites Universal Prompt Tuning for Graph Neural Networks.

Efficient Prompt Learning for Traffic Forecasting Universal Prompt Tuning for Graph Neural Networks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.763653Z

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Observation 43f6c3d0-6620-4699-bfe2-fdfb860b052c · outbound

This paper cites Proceedings of the VLDB Endowment14(8), 1289–1297 (2021).

Efficient Prompt Learning for Traffic Forecasting Proceedings of the VLDB Endowment14(8), 1289–1297 (2021)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.754605Z

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Observation 62534fcf-13e8-4fa5-b005-cf06265152bb · outbound

This paper cites Traffic Modeling with SUMO: a Tutorial.

Efficient Prompt Learning for Traffic Forecasting Traffic Modeling with SUMO: a Tutorial

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.688738Z

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Observation 88fa2d7c-523f-4c51-b6f4-f0cd61109c6f · outbound

This paper cites In: International Conference on Artificial Intelligence (AAAI), pp.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Artificial Intelligence (AAAI), pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.769633Z

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Observation 187f94fc-8519-4464-b35c-3f042eedef98 · outbound

This paper cites Proceedings of the VLDB Endowment17(5), 1081–1090 (2024).

Efficient Prompt Learning for Traffic Forecasting Proceedings of the VLDB Endowment17(5), 1081–1090 (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.736453Z

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Observation d829609d-a0a0-4d9c-b476-57a95994d1c3 · outbound

This paper cites Proceedings of the VLDB Endowment15(7), 1493–1505 (2022).

Efficient Prompt Learning for Traffic Forecasting Proceedings of the VLDB Endowment15(7), 1493–1505 (2022)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.746251Z

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Observation 229c97ff-707f-4a5b-ba1a-c6bff059cbbe · outbound

This paper cites Electronics 11(14), 2230 (2022).

Efficient Prompt Learning for Traffic Forecasting Electronics 11(14), 2230 (2022)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.811386Z

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Observation 20155080-286d-4fd2-9942-3e97d8961e14 · outbound

This paper cites AI Open2, 225–250 (2021).

Efficient Prompt Learning for Traffic Forecasting AI Open2, 225–250 (2021)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.701416Z

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Observation eea32799-9ca8-4b31-99e9-74b987fc5018 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Efficient Prompt Learning for Traffic Forecasting In: European Conference on Computer Vision, pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.704751Z

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Observation bf5fe7e0-4b87-4976-b673-f7d2fd2bf0c6 · outbound

This paper cites In: 2023 IEEE 39th international conference on data engineering (ICDE), pp.

Efficient Prompt Learning for Traffic Forecasting In: 2023 IEEE 39th international conference on data engineering (ICDE), pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.807563Z

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Observation 00593d91-f4f4-4c02-91e3-dec1bbfec284 · outbound

This paper cites Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

Efficient Prompt Learning for Traffic Forecasting Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.667869Z

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Observation 49ae9b5d-b840-4c15-837b-9855b6c092ba · outbound

This paper cites TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version.

Efficient Prompt Learning for Traffic Forecasting TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.745286Z

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Observation aa7c3019-90e7-43c4-b617-aa8cb061ad60 · outbound

This paper cites Proceedings of the VLDB Endowment18(8), 2308–2320 (2025).

Efficient Prompt Learning for Traffic Forecasting Proceedings of the VLDB Endowment18(8), 2308–2320 (2025)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.750435Z

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Observation 817a3d64-7b16-48b4-8a5e-b2f6332ca3ee · outbound

This paper cites In: International Conference on Machine Learning (ICML), pp.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Machine Learning (ICML), pp

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.790599Z

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Observation 5c90ab0b-fefa-46bf-8f30-175417b87ea5 · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence, vol.

Efficient Prompt Learning for Traffic Forecasting In: Proceedings of the AAAI conference on artificial intelligence, vol

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.741592Z

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Observation ed08e109-b64e-4c77-a7da-bb4fc5e044a1 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

Efficient Prompt Learning for Traffic Forecasting Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:06:26.645344Z

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Observation b0b48d7b-2af3-41b6-bef7-b067a08a5508 · outbound

This paper cites The VLDB Journal33(3), 685–702 (2024).

Efficient Prompt Learning for Traffic Forecasting The VLDB Journal33(3), 685–702 (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.794397Z

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Observation d7578ffb-d4d6-4974-96a2-9b649da2dc77 · outbound

This paper cites In: WWW, pp.

Efficient Prompt Learning for Traffic Forecasting In: WWW, pp

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.777701Z

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Observation c1888992-1d91-456f-88c2-87db6b130d13 · outbound

This paper cites In: International Joint Conferences on Artificial Intelligence (IJCAI), vol.

Efficient Prompt Learning for Traffic Forecasting In: International Joint Conferences on Artificial Intelligence (IJCAI), vol

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.781676Z

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Observation 1924e6f3-b321-4fa2-a561-cd2ec3a0f134 · outbound

This paper cites In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp.

Efficient Prompt Learning for Traffic Forecasting In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.798634Z

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Observation 2383a59c-8608-4a68-afe0-1aea168e356b · outbound

This paper cites In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining, pp.

Efficient Prompt Learning for Traffic Forecasting In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining, pp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.815800Z

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Observation a2313e10-c5b2-4617-a4b7-39a0b9750b4a · outbound

This paper cites In: Companion of the 2023 International Conference on Management of Data, pp.

Efficient Prompt Learning for Traffic Forecasting In: Companion of the 2023 International Conference on Management of Data, pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.773949Z

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Observation 7ee5a0c1-c1de-49a2-879e-44d71a0a0066 · outbound

This paper cites Proceedings of the VLDB Endowment 17(3) (2023).

Efficient Prompt Learning for Traffic Forecasting Proceedings of the VLDB Endowment 17(3) (2023)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.708719Z

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Observation 3333fef1-a6d8-4f61-a6bb-f92bc4629338 · outbound

This paper cites In: International Conference on Knowledge Discovery and Data Mining (KDD), pp.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Knowledge Discovery and Data Mining (KDD), pp

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.759840Z

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Observation 7829e2d7-3dc0-4a73-80be-72baf5b46ef7 · outbound

This paper cites Science China technological sciences63(10), 1872–1897 (2020).

Efficient Prompt Learning for Traffic Forecasting Science China technological sciences63(10), 1872–1897 (2020)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.720042Z

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Observation d235a647-bcc9-413a-9974-da71c20bbe7c · outbound

This paper cites In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp.

Efficient Prompt Learning for Traffic Forecasting In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.765038Z

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Observation 05723645-fda9-40e5-b5b3-5de55ff180aa · outbound

This paper cites Spatio-Temporal Graph Neural Networks: A Survey.

Efficient Prompt Learning for Traffic Forecasting Spatio-Temporal Graph Neural Networks: A Survey

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.756391Z

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Observation 6f83ab4c-322a-47e2-abe5-e92b1e5327de · outbound

This paper cites In: International Conference on Knowledge Discovery and Data Mining (KDD), pp.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Knowledge Discovery and Data Mining (KDD), pp

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.725743Z

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Observation 4600815c-5962-43f2-acbc-0ef86f41cc08 · outbound

This paper cites In: International Conference on Knowledge Discovery and Data Mining (KDD), pp.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Knowledge Discovery and Data Mining (KDD), pp

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.751342Z

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Observation ef503308-a0f8-446f-be2d-301bde7b6857 · outbound

This paper cites Knowledge- based systems242, 108,199 (2022).

Efficient Prompt Learning for Traffic Forecasting Knowledge- based systems242, 108,199 (2022)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.758965Z

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Observation 598095a2-8e1b-4ee5-8e9b-35215557d6d8 · outbound

This paper cites Engineering25, 51–65 (2023).

Efficient Prompt Learning for Traffic Forecasting Engineering25, 51–65 (2023)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.740560Z

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Observation 23f4b551-7ad2-409c-8b5c-abd1ee2e1cb8 · outbound

This paper cites In: International Confer- ence on Artificial Intelligence (AAAI), vol.

Efficient Prompt Learning for Traffic Forecasting In: International Confer- ence on Artificial Intelligence (AAAI), vol

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.747832Z

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Observation c2481b07-6172-43b9-ba9b-d5071a429302 · outbound

This paper cites In: International Conference on Knowledge Discovery and Data Mining (KDD), pp.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Knowledge Discovery and Data Mining (KDD), pp

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.762976Z

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Observation 199ddbe3-1e03-466c-a2e4-bb465c81d821 · outbound

This paper cites In: International Conference on Knowledge Discovery and Data Mining (KDD), pp.

Efficient Prompt Learning for Traffic Forecasting In: International Conference on Knowledge Discovery and Data Mining (KDD), pp

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.820122Z

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Observation a479a778-f65f-4784-aaf4-0cd151f107d2 · outbound

This paper cites Advances in Neural Information Processing Systems36(2024).

Efficient Prompt Learning for Traffic Forecasting Advances in Neural Information Processing Systems36(2024)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:40:03.755162Z

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Observation 9384d063-5054-4c26-8b50-3ff9e164dbf9 · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Efficient Prompt Learning for Traffic Forecasting Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.658496Z

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

Observation 08750035-d657-4ea1-a15b-cdac04ca6bb6 · outbound

This paper cites In: Annual Meeting of the Association for Com- putational Linguistics (ACL) (2022).

Efficient Prompt Learning for Traffic Forecasting In: Annual Meeting of the Association for Com- putational Linguistics (ACL) (2022)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.721908Z

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Observation 089025fc-95ad-4dfd-87a6-5dc2d06c6e20 · outbound

This paper cites Proceedings of the VLDB Endowment17(7), 1605–1617 (2024).

Efficient Prompt Learning for Traffic Forecasting Proceedings of the VLDB Endowment17(7), 1605–1617 (2024)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.725214Z

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Observation c271fc94-a5a2-48bc-b6fd-b935a39303c3 · outbound

This paper cites Proceedings of the VLDB Endowment11(9), 934–946 (2018).

Efficient Prompt Learning for Traffic Forecasting Proceedings of the VLDB Endowment11(9), 934–946 (2018)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.728832Z

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Observation c7d7e26e-67ca-42f7-b006-8205675a95c0 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Efficient Prompt Learning for Traffic Forecasting In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.732687Z

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Observation 04b4dc30-e1e2-453a-ba64-eadeff04bbea · outbound

This paper cites M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation.

Efficient Prompt Learning for Traffic Forecasting M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.732899Z

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Observation b588ae1f-0100-4609-b740-2b30059b02f6 · outbound

This paper cites A Survey of Generative Techniques for Spatial-Temporal Data Mining.

Efficient Prompt Learning for Traffic Forecasting A Survey of Generative Techniques for Spatial-Temporal Data Mining

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:06:26.739852Z

Source-reported events for the cited work

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

Observation a61672a7-9860-4735-b215-aa54605f4160 · outbound

This paper cites HMamba: Hyperbolic Mamba for Sequential Recommendation.

Efficient Prompt Learning for Traffic Forecasting HMamba: Hyperbolic Mamba for Sequential Recommendation

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.701353Z

Source-reported events for the cited work

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

Observation 2f5eb107-9890-4901-9033-0dfb164bf4a0 · outbound

This paper cites A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security.

Efficient Prompt Learning for Traffic Forecasting A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.783073Z

Source-reported events for the cited work

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

Observation a8e2c400-21a3-48f0-a8de-7d73fa5685cc · outbound

This paper cites an unresolved cited work.

Efficient Prompt Learning for Traffic Forecasting Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-05-14T07:35:02.711803Z

Source-reported events for the cited work

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

Observation 5762cfc1-1a08-42f1-a9ca-1cea9602feb9 · outbound

This paper cites Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks.

Efficient Prompt Learning for Traffic Forecasting Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.750934Z

Source-reported events for the cited work

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

Observation 85246c31-1dcf-4922-8b80-5ad106b4d4dc · outbound

This paper cites Advances in neural information processing systems35, 6074–6089 (2022).

Efficient Prompt Learning for Traffic Forecasting Advances in neural information processing systems35, 6074–6089 (2022)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.715339Z

Source-reported events for the cited work

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

Observation 6870f6bb-322d-4741-8ecf-76b74fe70012 · outbound

This paper cites RED: Effective Trajectory Representation Learning with Comprehensive Information.

Efficient Prompt Learning for Traffic Forecasting RED: Effective Trajectory Representation Learning with Comprehensive Information

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:26.716296Z

Source-reported events for the cited work

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

Observation 316bbe35-10fd-42b2-a29b-fec3f1591cd5 · outbound

This paper cites In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.

Efficient Prompt Learning for Traffic Forecasting In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.718668Z

Source-reported events for the cited work

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

Observation bc24dba2-f203-4157-9fd0-8249c3907668 · outbound

This paper cites IEEE Access9, 35,973–35,983 24.

Efficient Prompt Learning for Traffic Forecasting IEEE Access9, 35,973–35,983 24

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T07:35:02.708087Z

Source-reported events for the cited work

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

Coverage vector

Reference resolution

Outbound references

Pith citing papers