ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation | Paper Citation Record

Observation 24202d66-2d82-4e33-9ead-b79be0e4a5ee · outbound

This paper cites A bilstm-cnn model for predicting users’ next locations based on geotagged social media.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation A bilstm-cnn model for predicting users’ next locations based on geotagged social media

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:50.078464Z

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 67e9ac31-ac49-42f3-acac-c3ed09ed29d6 · outbound

This paper cites Linear interpolation revitalized.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Linear interpolation revitalized

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:49.827488Z

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 0ad71ded-bfd0-40a8-b5ea-a8ea8abdbfd2 · outbound

This paper cites Recurrent neural networks for multivariate time series with missing values.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Recurrent neural networks for multivariate time series with missing values

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:33.538440Z

Source-reported events for the cited work

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Observation a83311bd-7856-40ac-832f-a56f4ec697c3 · outbound

This paper cites Deep learning for trajectory data management and mining: A survey and beyond.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Deep learning for trajectory data management and mining: A survey and beyond

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:33.605294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96461008-1f25-434b-b514-1b0eb5f516ec · outbound

This paper cites Trajvae: A variational autoencoder model for trajectory generation.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Trajvae: A variational autoencoder model for trajectory generation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:49.615678Z

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 eb08598f-039c-49ed-8196-043e1f097bfd · outbound

This paper cites Rntrajrec: Road network enhanced trajectory recovery with spatial-temporal transformer.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Rntrajrec: Road network enhanced trajectory recovery with spatial-temporal transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:49.446056Z

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 f9173a83-1064-42f9-a957-2dd04dfb7833 · outbound

This paper cites A., Verleysen, M., and Blondel, V.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation A., Verleysen, M., and Blondel, V

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:49.325229Z

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 c59560bc-9adf-4ef4-8051-6167db3bdeb5 · outbound

This paper cites Tutorial on Variational Autoencoders.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Tutorial on Variational Autoencoders

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:33.904529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0846c9d-7bff-418f-afcd-9e607d40a1c9 · outbound

This paper cites Saits: Self-attention-based imputation for time series.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Saits: Self-attention-based imputation for time series

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:49.133588Z

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 fffd80ec-e9e2-4d46-902c-bc0fa0e0fca0 · outbound

This paper cites Generative adversarial networks.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Generative adversarial networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:34.008183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 297fecfb-8bec-477e-8482-5a2236144262 · outbound

This paper cites H., Ji, J., Xiang, S., Long, C., Cong, G., and Wang, J.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation H., Ji, J., Xiang, S., Long, C., Cong, G., and Wang, J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:48.926929Z

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 ce54efa9-2d45-4807-9bf5-8b013a9663f6 · outbound

This paper cites Denoising diffusion probabilistic models.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Denoising diffusion probabilistic models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:34.216921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2efa10fe-7eba-4da9-8587-4b0c14869322 · outbound

This paper cites Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:48.767465Z

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 e6ff9a74-0fc0-43bd-a17d-be741e2e1374 · outbound

This paper cites Robust spatial temporal imputation based on spatio-temporal generative adversarial nets.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Robust spatial temporal imputation based on spatio-temporal generative adversarial nets

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:48.549131Z

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 5740cc94-db69-4cfb-a1f8-aa7b8e466b60 · outbound

This paper cites Stden: Towards physics-guided neural networks for traffic flow prediction.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Stden: Towards physics-guided neural networks for traffic flow prediction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:48.364493Z

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 5303a245-6566-45cd-a1ec-9326644c68d3 · outbound

This paper cites Precision cityshield against hazardous chemicals threats via location mining and self-supervised learning.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Precision cityshield against hazardous chemicals threats via location mining and self-supervised learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:48.117554Z

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 63f1d776-e11f-4863-9f10-235367af1e1d · outbound

This paper cites Spatio-temporal self-supervised learning for traffic flow prediction.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Spatio-temporal self-supervised learning for traffic flow prediction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:47.930050Z

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 c1f42fd7-35da-4a93-9d72-fc329ddcdce1 · outbound

This paper cites S., Lu, X., Yuan, Y., Xu, G., Jia, J., and Christakis, N.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation S., Lu, X., Yuan, Y., Xu, G., Jia, J., and Christakis, N

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:47.679903Z

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 c1d451ae-21fb-40e8-a314-0959168f4dc7 · outbound

This paper cites X., and Wang, J.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation X., and Wang, J

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:47.425923Z

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 2048b51d-63ce-4e83-859c-6ef3c57bb78d · outbound

This paper cites X., Wang, J., and Jiang, J.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation X., Wang, J., and Jiang, J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:47.192526Z

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 ace2f319-9484-4bef-a46d-488538da4c1f · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:35.172516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5426b292-67de-4a90-88ae-83ee4b6c765a · outbound

This paper cites Crafting papers on machine learning.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Crafting papers on machine learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:35.285667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec443abe-0919-46cc-990d-c6bcc6d3bfc0 · outbound

This paper cites Bcdiff: Bidirectional consistent diffusion for instantaneous trajectory prediction.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Bcdiff: Bidirectional consistent diffusion for instantaneous trajectory prediction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:47.003114Z

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 8d187a66-a61e-4dcb-8487-48a2c22ea341 · outbound

This paper cites Multi-task representation learning for travel time estimation.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Multi-task representation learning for travel time estimation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:46.802668Z

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 e4acc481-d80e-4cb5-9ebe-ab81b97d09ce · outbound

This paper cites Online anomalous trajectory detection with deep generative sequence modeling.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Online anomalous trajectory detection with deep generative sequence modeling

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:46.567797Z

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 f00da6f8-319c-42ae-8a01-59cfd29b7185 · outbound

This paper cites Full bayesian significance testing for neural networks in traffic forecasting.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Full bayesian significance testing for neural networks in traffic forecasting

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:46.245575Z

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 0b9bd5ea-5717-44b2-ae7a-c1e2395a9fd3 · outbound

This paper cites Predictability of population displacement after the 2010 haiti earthquake.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Predictability of population displacement after the 2010 haiti earthquake

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:45.919799Z

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 6ef7fd0e-48d0-4abd-9464-e0fbfca91148 · outbound

This paper cites New introduction to multiple time series analysis.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation New introduction to multiple time series analysis

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:45.585322Z

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 c92faad5-196c-47d8-ae1f-5398efe328fe · outbound

This paper cites Vector autoregressive models.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Vector autoregressive models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:45.221818Z

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 acaf9414-de20-4b0e-810c-a130a40bab04 · outbound

This paper cites CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:36.162878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 846f5434-cfab-4b24-9204-5316fba449fd · outbound

This paper cites Future directions in human mobility science.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Future directions in human mobility science

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:36.256233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03cadec-6e20-4689-aa1f-598d0427c923 · outbound

This paper cites Strong consistency of k-means clustering.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Strong consistency of k-means clustering

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:44.902678Z

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 fa0ff83d-47f0-4b66-811c-5b0f545af643 · outbound

This paper cites Ppca-based missing data imputation for traffic flow volume: A systematical approach.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Ppca-based missing data imputation for traffic flow volume: A systematical approach

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:44.744884Z

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 0c3e6c21-d788-4b50-9010-81b42977f60b · outbound

This paper cites an unresolved cited work.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:00:44.478509Z

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 936bd1e6-2bfe-463a-b275-cac82953bc58 · outbound

This paper cites A theoretical analysis of contrastive unsupervised representation learning.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation A theoretical analysis of contrastive unsupervised representation learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:44.187304Z

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 54712a6c-94cc-41d8-9673-570e7bf59a85 · outbound

This paper cites Ttpnet: A neural network for travel time prediction based on tensor decomposition and graph embedding.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Ttpnet: A neural network for travel time prediction based on tensor decomposition and graph embedding

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:43.900846Z

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 b0c95167-b6c8-442d-98ad-e7eb59f9349f · outbound

This paper cites an unresolved cited work.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:00:43.673643Z

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 a064f8a4-0acc-4454-8968-38ab44ca904a · outbound

This paper cites A deep gravity model for mobility flows generation.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation A deep gravity model for mobility flows generation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:43.394029Z

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 12cec5b6-b892-4a54-9d7a-465d1e269c83 · outbound

This paper cites Denoising Diffusion Implicit Models.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Denoising Diffusion Implicit Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:36.804286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5cf5967-94ce-42c8-8ffc-70a1313392e4 · outbound

This paper cites Anomalous trajectory detection using recurrent neural network.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Anomalous trajectory detection using recurrent neural network

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:43.116201Z

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 16e69b59-d32b-4769-8607-ffa6d82dbd87 · outbound

This paper cites Recovering individual’s commute routes based on mobile phone data.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Recovering individual’s commute routes based on mobile phone data

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:42.768719Z

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 89e46da4-43f4-4d7b-a528-7590fdb4d1f1 · outbound

This paper cites A tensor-based method for missing traffic data completion.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation A tensor-based method for missing traffic data completion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:42.547232Z

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 1fcd3422-aca8-4ac2-abe6-bf5a5e990b88 · outbound

This paper cites Traffic speed prediction and congestion source exploration: A deep learning method.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Traffic speed prediction and congestion source exploration: A deep learning method

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:42.502210Z

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 bb9770a2-a996-40bd-ba27-286195dec20b · outbound

This paper cites X., and Feng, K.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation X., and Feng, K

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:42.356078Z

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 f5ef4850-d2e7-4b0b-8cc0-f6a241bfb097 · outbound

This paper cites an unresolved cited work.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:00:42.127370Z

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 d089c39e-691f-4402-b074-efedd8e28375 · outbound

This paper cites Learning to estimate the travel time.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Learning to estimate the travel time

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.915427Z

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 1f6463fc-a792-460a-991d-cb8d3cf01c73 · outbound

This paper cites Micro-macro spatial-temporal graph-based encoder-decoder for map-constrained trajectory recovery.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Micro-macro spatial-temporal graph-based encoder-decoder for map-constrained trajectory recovery

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.719877Z

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 7d9b6d2d-80e4-4812-a7a1-9bda6abdc01d · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.485131Z

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 379490e2-8680-4e05-98c4-55e2081e8f6b · outbound

This paper cites X., and Jin, Y.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation X., and Jin, Y

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.303217Z

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 03f9c045-1ac9-4043-ac48-01bdeac1b2b1 · outbound

This paper cites W., Wang, J., and Pan, D.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation W., Wang, J., and Pan, D

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.186695Z

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 d0206bd3-b167-4a97-89e9-adb1bf78793c · outbound

This paper cites Attnmove: History enhanced trajectory recovery via attentional network.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Attnmove: History enhanced trajectory recovery via attentional network

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:41.008590Z

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 20c4e4e5-5bed-4a9a-a45f-c339fde35c0f · outbound

This paper cites Uncovering the missing pattern: Unified framework towards trajectory imputation and prediction.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Uncovering the missing pattern: Unified framework towards trajectory imputation and prediction

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:40.890103Z

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 99bccd1d-cf1d-4801-bbb0-a5d834c087ac · outbound

This paper cites X., Liu, Z., and Chang, E.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation X., Liu, Z., and Chang, E

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:40.791517Z

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 86fdac67-b112-4c24-9c46-dae542873478 · outbound

This paper cites W., and Yu, Z.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation W., and Yu, Z

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:40.680582Z

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 972afec4-0abc-40b5-8061-6e0c57ee2bd5 · outbound

This paper cites Serm: A recurrent model for next location prediction in semantic trajectories.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Serm: A recurrent model for next location prediction in semantic trajectories

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:40.558289Z

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 d23d8b27-bde1-4997-b65f-2215a5ba19ec · outbound

This paper cites and Qiao, Y.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation and Qiao, Y

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:40.447828Z

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 9aac829b-efa2-4927-9670-b2a84c31f7d4 · outbound

This paper cites an unresolved cited work.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:00:40.201066Z

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 591a14b6-ce3a-432c-a0ce-2cfc3a76df0f · outbound

This paper cites G., et al.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation G., et al

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:39.973806Z

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 918a41a1-908c-42c6-ad70-9c8f0a78ad2d · outbound

This paper cites Urban computing: concepts, methodologies, and applications.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Urban computing: concepts, methodologies, and applications

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:39.728421Z

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 022fb3d0-ef5e-4177-8455-779c049739a9 · outbound

This paper cites an unresolved cited work.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:00:39.485285Z

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 b01abdf3-4fc1-4f4f-b082-9d1293c3184d · outbound

This paper cites J., Zhao, X., Liu, Q., Ye, Y., Chen, W., Zhang, Z., Wei, X., and Liang, Y.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation J., Zhao, X., Liu, Q., Ye, Y., Chen, W., Zhang, Z., Wei, X., and Liang, Y

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:00:39.287347Z

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 752ea6f8-3b24-4685-b614-50e9cf0b5993 · outbound

This paper cites write newline.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation write newline

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:38.855904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers