Paper Citation Record · LEDGER

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2506.07099.

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

pith.paper-citation-record.v1
2506.07099 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:00.171736Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

44 of 44 outbound references displayed

verified exact0
verified fuzzy37
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04c58217-ce72-46db-914e-25b35f555282 · outbound

This paper cites Traffic flow prediction using graph convolution neural networks.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Traffic flow prediction using graph convolution neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.705473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ae3b743-121c-4b1c-bee5-7270da1f7cbf · outbound

This paper cites Missing data imputation using fuzzy-rough methods.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Missing data imputation using fuzzy-rough methods

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.689626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67f38359-b740-46e0-ac50-7513a22a24ab · outbound

This paper cites Learning spatiotemporal latent factors of traffic via regularized tensor factorization: Imputing missing values and forecasting.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Learning spatiotemporal latent factors of traffic via regularized tensor factorization: Imputing missing values and forecasting

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.679454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c9fe767-d63d-4ded-945b-a31d376b1cb4 · outbound

This paper cites Argusdroid: detecting android malware variants by mining permission-api knowledge graph.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Argusdroid: detecting android malware variants by mining permission-api knowledge graph

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.667004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e422045-2e52-4c2f-bf93-eac1bbf99cbd · outbound

This paper cites E3m: zero-shot spatio-temporal video grounding with expectation-maximization multimodal modulation.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion E3m: zero-shot spatio-temporal video grounding with expectation-maximization multimodal modulation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.655103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f6a7755f-eb0f-48c7-8f9f-4f2b4d8a25c3 · outbound

This paper cites Crps learning.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Crps learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.644749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d885237a-389f-4210-9660-c43eebfdd77b · outbound

This paper cites Brits: Bidirectional recurrent imputation for time series.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Brits: Bidirectional recurrent imputation for time series

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.634575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fdf09f79-8167-47fb-83a3-2f45aa5361c4 · outbound

This paper cites Nhits: Neural hierarchical interpolation for time series forecasting.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Nhits: Neural hierarchical interpolation for time series forecasting

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.621360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a11d1da-44fd-44ce-8c80-f818595d0e68 · outbound

This paper cites Missing traffic data imputation and pattern discovery with a bayesian augmented tensor factorization model.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Missing traffic data imputation and pattern discovery with a bayesian augmented tensor factorization model

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.609825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4aa0c5da-85c7-4596-8f5e-9cd5a304927e · outbound

This paper cites A bayesian tensor decomposition approach for spatiotemporal traffic data imputation.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion A bayesian tensor decomposition approach for spatiotemporal traffic data imputation

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.598287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f40bfbe-6674-4e7e-86c8-00bb985a2ad0 · outbound

This paper cites Multitask offloading strategy optimization based on directed acyclic graphs for edge computing.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Multitask offloading strategy optimization based on directed acyclic graphs for edge computing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.586887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5b75b59c-5c4b-4ced-89d1-3b543cd0d014 · outbound

This paper cites Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:00.063032Z

Source-reported events for the cited work

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Observation 76ca0ad0-485a-4213-94db-8fa9b7b11d80 · outbound

This paper cites Big learning expectation maximization.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Big learning expectation maximization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.575648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d10b299e-395e-40fb-a5ed-496f93460013 · outbound

This paper cites Gp-vae: Deep probabilistic time series imputation.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Gp-vae: Deep probabilistic time series imputation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.560720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 48ef15ec-007b-4623-83b0-88bba92fa47e · outbound

This paper cites Generative adversarial networks.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Generative adversarial networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:00.072993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ed84669-78c7-44e9-b780-3a7da0df6213 · outbound

This paper cites Muse: A deep learning model based on multi-feature fusion for super-enhancer prediction.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Muse: A deep learning model based on multi-feature fusion for super-enhancer prediction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.542354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e8953f1-fbbc-4670-826f-83fa59963d41 · outbound

This paper cites Xiong, Guangquan Xu, and Fei Guo.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Xiong, Guangquan Xu, and Fei Guo

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.529365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24deae18-07eb-46c3-8e9d-9ba668c8d2a6 · outbound

This paper cites Ensemblese: identification of super-enhancers based on ensemble learning.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Ensemblese: identification of super-enhancers based on ensemble learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.517166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35e55922-8186-49dd-b118-40bad37c5f44 · outbound

This paper cites Fecam: Frequency enhanced channel attention mechanism for time series forecasting.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Fecam: Frequency enhanced channel attention mechanism for time series forecasting

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.505859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c857f79f-418d-4a02-8e09-68612a8b7b65 · outbound

This paper cites Local-global defense against unsupervised adversarial attacks on graphs.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Local-global defense against unsupervised adversarial attacks on graphs

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.495178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e64bfbee-44b3-4bf2-b845-9a8d66d098f4 · outbound

This paper cites Auto-Encoding Variational Bayes.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Auto-Encoding Variational Bayes

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:00.093652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb92747-ac0e-4179-81d4-05b3d550e604 · outbound

This paper cites Missing traffic data: comparison of imputation methods.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Missing traffic data: comparison of imputation methods

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.484787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7608f51d-388a-48b0-8cf1-3ee32b586808 · outbound

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

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:00.102017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a7c0d4-c27a-463e-b166-6941ff1d6f85 · outbound

This paper cites Auto-gas: automated proxy discovery for training-free generative architecture search.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Auto-gas: automated proxy discovery for training-free generative architecture search

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.472954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db168e8f-29fb-46be-88a9-6977831a5f75 · outbound

This paper cites Gcnet: Graph completion network for incomplete multimodal learning in conversation.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Gcnet: Graph completion network for incomplete multimodal learning in conversation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.462465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ab6945e-f647-4978-bd48-5cbe8f66f254 · outbound

This paper cites Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.451734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bed07cc9-cc95-4e6b-9db2-ee31ed648809 · outbound

This paper cites Pristi: A conditional diffusion framework for spatiotemporal imputation.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Pristi: A conditional diffusion framework for spatiotemporal imputation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.440930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efdfd2ea-5a68-47df-aad2-f43e46e45ef2 · outbound

This paper cites Learning to reconstruct missing data from spatiotemporal graphs with sparse observations.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Learning to reconstruct missing data from spatiotemporal graphs with sparse observations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.430036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a69c93f0-1bc0-4456-8984-0e42f7034bf1 · outbound

This paper cites Uncertainty-aware variational-recurrent imputation network for clinical time series.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Uncertainty-aware variational-recurrent imputation network for clinical time series

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.417700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation baf69535-c8b3-4154-98e0-c686055c03d9 · outbound

This paper cites Enhancing risk prediction in mental health using ensemble hybrid models and administrative healthcare data with irregular intervals.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Enhancing risk prediction in mental health using ensemble hybrid models and administrative healthcare data with irregular intervals

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.407960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 971cc901-2554-4655-be4d-8758157e5701 · outbound

This paper cites New rnn algorithms for different time-variant matrix inequalities solving under discrete-time framework.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion New rnn algorithms for different time-variant matrix inequalities solving under discrete-time framework

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.397693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d772257-9252-4d04-9e83-516b21198fa1 · outbound

This paper cites Incomplete multi-view weak-label learning.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Incomplete multi-view weak-label learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.385341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fbf98e13-fb26-4d7b-a385-3dc33133cbb3 · outbound

This paper cites Csdi: Conditional score-based diffusion models for probabilistic time series imputation.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Csdi: Conditional score-based diffusion models for probabilistic time series imputation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.374515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 576c0b28-2448-4b9b-8287-7ecfa09f3165 · outbound

This paper cites Attention is all you need.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Attention is all you need

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.360006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47aa9b96-3a79-48b5-ab99-b9ef6f8ed1ef · outbound

This paper cites Traffic data reconstruction via adaptive spatial-temporal correlations.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Traffic data reconstruction via adaptive spatial-temporal correlations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.345178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b8a77ebf-123e-466e-92fb-8c3f08b013ac · outbound

This paper cites Multiple imputation using chained equations: issues and guidance for practice.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Multiple imputation using chained equations: issues and guidance for practice

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.325770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 42f3a1b7-a17d-4d6a-9c3f-843728b4b23c · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:00.148477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f89511-8cb8-4db8-a25f-d2b02cca8987 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:00.152244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 916da26d-883d-4d8a-805d-a23e44d44a33 · outbound

This paper cites Ultrahigh thermal stability and piezoelectricity of lead-free knn-based texture piezoceramics.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Ultrahigh thermal stability and piezoelectricity of lead-free knn-based texture piezoceramics

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.311390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5a0dedcc-80d3-4e0c-aeac-bc6c21111835 · outbound

This paper cites St-mvl: Filling missing values in geo-sensory time series data.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion St-mvl: Filling missing values in geo-sensory time series data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.296953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f073f370-c9e8-42f0-8d61-b5a1515d270a · outbound

This paper cites Gain: Missing data imputation using generative adversarial nets.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Gain: Missing data imputation using generative adversarial nets

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.283383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 32d914d7-a74b-47d4-be24-9be46532cf4a · outbound

This paper cites Temporal regularized matrix factorization for high-dimensional time series prediction.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Temporal regularized matrix factorization for high-dimensional time series prediction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.270716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6baa8494-7502-464e-a7e6-b8418021446c · outbound

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

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion Urban computing: concepts, methodologies, and applications

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:00.257392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b19ccf8-f10c-4c5a-891f-8b6981919c72 · outbound

This paper cites write newline.

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion write newline

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:00.171736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.