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Paper Citation Record · LEDGER

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2505.23048.

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

pith.paper-citation-record.v1
2505.23048 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:00:38.855904Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy46
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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.

source=arxiv_source observed=2026-08-07T13:00:33.605294Z digest=sha256:db349a353b73ec9e76ea1510dc83323eba12470fec596aa81f740fce00cbdef6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:33.658380Z digest=sha256:77834e08f0f77f7c4ae5f25a8a624d02976a1a4a2769bd95168dbe5c32cc73ba

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:33.739301Z digest=sha256:9bd679f80fc361ff799a3e7ac1610f3b1f98611b218cff9fe3bffbf66dd7ff07

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:33.788435Z digest=sha256:1f8c6341ed80f0566b56fbdd172419d1d4690e43e104645f4d37183c50d69629

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.

source=arxiv_source observed=2026-08-07T13:00:33.904529Z digest=sha256:59559d1af97a0bbb9332542ac1436d1d8b141c4768210d2a7d7deb132b619be0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:33.952470Z digest=sha256:00c5db8e128c62bd899b970fb0693563c8809b5cc0af1658c237721b239c8d10

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.

source=arxiv_source observed=2026-08-07T13:00:34.008183Z digest=sha256:ccf500477aa97d215a26777c5219be46a89cf990d1fd9878004129f567cb9f5c

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:34.083434Z digest=sha256:a3937e17b489e286398fb972c6c949feda25a7bf56e949b3c0588cba56e2c54e

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.

source=arxiv_source observed=2026-08-07T13:00:34.216921Z digest=sha256:cdccc81964becc34b658b320b24ac0a1c6cb4be078355aa21d689f43152da5ca

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:34.360698Z digest=sha256:d336f246630e0f8f299d4b4d8135c53ceda395fffda90649b768c41eb0e55b56

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:34.470309Z digest=sha256:a386387567ac6a20af741f1491cb8aba06c40bd48d205c65e9a18344a3683d92

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:34.577206Z digest=sha256:6c8b35e4cc887a7e227ea1b51203546071acbb58868c85f851a2f9ebd96de75f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:34.666202Z digest=sha256:67524ce7451976ea850f7652a26fabdc4fe7c49fc0bdea5985afd59d1cc5f3a7

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:34.779058Z digest=sha256:ed00a12b069d67992d0b2fc0ae07e68813b4babdf9ce46b3bb0322a70e99c51f

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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:35.172516Z digest=sha256:9f2089edf172fdb4592a59ca8548b9efd3f969980c5193938870a8d8ab253be9

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.

source=arxiv_source observed=2026-08-07T13:00:35.285667Z digest=sha256:dcdd14d70530498ac7ac17e0c3788103979bf82882f9ea88aec67b9c2aa6379a

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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:35.509962Z digest=sha256:77872f3774d0e08744e0ff8e033ccb4a804acbde6e18852110566eaca1c41168

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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:35.988222Z digest=sha256:0e3c477b646363ed2eeea16494640393b6708689f659ead168c627ff7dd8f77f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.068437Z digest=sha256:c696fc49a519c7a1a3e131412b37a4953dcce08b78eae3f98f1d46775336e71a

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.

source=arxiv_source observed=2026-08-07T13:00:36.162878Z digest=sha256:71a80bcbbe67f3e24f10b05aaa3e75106cb8e7311d04c3c80ef19fb293b58583

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.

source=arxiv_source observed=2026-08-07T13:00:36.256233Z digest=sha256:6829a3da54d4e009b6d3ede1c49e5b973c93c4a2757e6b3a0604991dcc15e162

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.368136Z digest=sha256:1c7a5c272a30cb15680e1b3d4a2bf123d9cb7e0c39c4b8e47f6ecb7b218081d3

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 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.509171Z digest=sha256:68d12a840dc1edafa9abf6f737e0db2accabfb7ee382e437e71ac4438671c033

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.566124Z digest=sha256:8445d55bb8469b84bf5f936f3dcb285fb674a7e6250b8df5c443eadc3b2bd167

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.634735Z digest=sha256:135f12d7c360392db107170a0aa50c93e17078732e68191a1b88fc17de4f4f0c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.703797Z digest=sha256:e679b24bfc1041a84bf6135274daec1ddcda88414eaf73a74d8a5dadb9851c20

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.753116Z digest=sha256:97be94725951b73a3ef74f02a7db0b43bd2f28c1d98c3a5953801c326a397541

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.

source=arxiv_source observed=2026-08-07T13:00:36.804286Z digest=sha256:2e6154cee26ea51f93320c094274111276961917afa2fdef5043af77be6a659e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.874913Z digest=sha256:d5310d0c6417219df42e0b0893bb196f976882cc4b56acccc8ac4f39b34df97a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:36.941509Z digest=sha256:f6a0df7203fe307f229717911c6d70068f508982f114623237555f46a3a078e8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.075214Z digest=sha256:4a3a910cd44b9926e4fda8f3f84b814893d7dad712eda7afb0d6a65158bde945

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.113691Z digest=sha256:264baa4b386518dc311b42ff929b52b382ebfadfb8d40bbf06f333e1aee9aa06

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.170840Z digest=sha256:d754e3f96b2de20e905a131e58ef1ec9c15f3bc5728ce8e0dea1eb001b93da01

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.257392Z digest=sha256:53e165201ee5485267f4980c1b4a1c0c5b7a1e4897cee33be0276d8f5536d325

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.356788Z digest=sha256:e62d1b37c32b2962f2632fc4f2186c94f260f20c5af56ab099f7914a8b24528e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.476794Z digest=sha256:28b2e94f0e7dd41ccb8a3cbdd0e857b422498e944eca4d3b41c9427493354b54

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.552817Z digest=sha256:e2e145db0f9fc582121ecc87abe7ec361933ab8131957a2a67522f110a17e845

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.617261Z digest=sha256:e8005f5e24ee063a9b883048016dea835654c956e7dcbf621b8a12dbce5914cd

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.726577Z digest=sha256:514998eb594779b3e42380d3cbb305917a11840ade2daf84918e6a4959d19a66

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.772074Z digest=sha256:7fe456d9f05d4b99403611799e5c9a5db9fbe04f317485baeac0f46471e75c0d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.836515Z digest=sha256:00fcf180cf38b846a9f324d53443973dde6a90d193ce8cfde6bf115cc5d5acb8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:37.912049Z digest=sha256:33613e4846069bc1baf6844dde717ed0c49bdf37ac80fdd7b7f44f321d9bd146

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:38.000927Z digest=sha256:cf2cac1e5a2e431654638a792e852409d32136b625249ad5508f5968ec29a073

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:38.091157Z digest=sha256:b9e351e2263cef526d90ee739c1f2a6313297db8303323e918186e01ab68127d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:38.222725Z digest=sha256:ae0fb681e559a0973c379a27b2f628e9a5b5880d5d50015417d80980e81e2be6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:38.348492Z digest=sha256:942d592f046ffb8259736f12d9b50cea13ee2446134798ca5f5d956b12da87b0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:38.430262Z digest=sha256:1db9b7fa23d144902c7687d4c3efe7079fd35d9610bc68f3296f20cdc05f45d1

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:38.538214Z digest=sha256:35fe2a13c871c1401b497aaf67278c3b130d9a29d6ff478e18d01edda0c3bf9c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:38.657961Z digest=sha256:48652b109f5a4fcfe269700813902ac5921e23b69b4144bb88e515ed64a19a11

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T13:00:38.756957Z digest=sha256:edca874c5a231d570e032d77eb2125fff2e3afa92c9700e6e8d42d58ab6e8a38

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.

source=arxiv_source observed=2026-08-07T13:00:38.855904Z digest=sha256:095a7974b390c7ce73a2103ae71cc5026e5ff1ec3a3b7c8476b64136e6bbd2a2

Pith citing papers

No inbound Pith citation observations are available.