Pith. sign in

Paper Citation Record · LEDGER

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2412.14569.

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

pith.paper-citation-record.v1
2412.14569 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:08:51.786268Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57d8a41e-bb5c-4888-8966-6d80fc30ec76 · outbound

This paper cites Digital twin-empowered smart attack detection system for 6g edge of things networks,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Digital twin-empowered smart attack detection system for 6g edge of things networks,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:53.271478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.299397Z digest=sha256:6a03ceb32b94c9ec64a009e054fb5f2ea1394bf779095d21f21e39995d7d473e

Observation 85ac3325-d90f-4f07-9d32-1e17cebe9529 · outbound

This paper cites Graph wavenet for deep spatial-temporal graph modeling,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Graph wavenet for deep spatial-temporal graph modeling,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:53.239388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.319824Z digest=sha256:04196b562bbe157e6a0c199a33ac76e2a3fd67b1846b2821400bdaf2dee79fa2

Observation e17345a7-bdfa-4e9a-abee-7880b99aa544 · outbound

This paper cites Dig- ital twin-enabled intelligent ddos detection mechanism for autonomous core networks,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Dig- ital twin-enabled intelligent ddos detection mechanism for autonomous core networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:53.150230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.329673Z digest=sha256:02370d6e24f9faac79cd0bd56d89944b017d135760ad4031637f380c9f264e95

Observation 911188ff-6c6e-4fcb-81ad-e04313dc1504 · outbound

This paper cites Diffusion convolutional recurrent neural network: Data-driven traffic forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Diffusion convolutional recurrent neural network: Data-driven traffic forecasting,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T12:08:51.336798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:08:51.336798Z digest=sha256:6badcca7f7f5b6fa0ec69cd1f9f3c3d94a412b00155c1e62d061427e222106cd

Observation 838831e6-ee3b-48b6-b106-3db64507bcd4 · outbound

This paper cites Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.961336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.342236Z digest=sha256:1c7f2e6abf00035fad8c45fba1377c41c34fa09006c355f366bb7a2bf1addd3c

Observation 02a094a2-a161-41b7-aa2b-0b9a4957d2bb · outbound

This paper cites Gman: A graph multi-attention network for traffic prediction,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Gman: A graph multi-attention network for traffic prediction,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.838818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.349664Z digest=sha256:135410a51151efa5f08e525c1ddd3131866e9992e0ae00e7d526449b183a194f

Observation e960523c-3fe7-4a0e-9a76-055b787dbc52 · outbound

This paper cites Pdformer: propagation delay-aware dynamic long-range transformer for traffic flow prediction,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Pdformer: propagation delay-aware dynamic long-range transformer for traffic flow prediction,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.811262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.356223Z digest=sha256:593d1d51955c6a106355bd952b1b2bf7963ad78d48dc815b98b2db4107cba6c7

Observation d347cae5-bc0e-47fb-b99c-9dd23fb47229 · outbound

This paper cites Con- necting the dots: Multivariate time series forecasting with graph neural networks,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Con- necting the dots: Multivariate time series forecasting with graph neural networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.779951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.363569Z digest=sha256:73f53b95e14bcec7d24e533d57f84f649149f52076eeb9f32aa87a9b95b1e66c

Observation a76cf039-2a79-4002-93fb-470949bec93c · outbound

This paper cites Tgae: Temporal graph autoencoder for travel forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Tgae: Temporal graph autoencoder for travel forecasting,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.733744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.371858Z digest=sha256:d842ff8097c3f67cc4370089536c2c52f03fcb4b55a2d142a055d961a3ce777b

Observation fa8ba289-dd08-43f4-b4ca-68348133a649 · outbound

This paper cites Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Spatio-temporal adaptive embedding makes vanilla transformer sota for traffic forecasting,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.599810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.378881Z digest=sha256:7cce1eb755e24129907dcb7e6b57ac69a98375323c9290525d06d54923fe6959

Observation 6c3af000-ba00-496e-bee4-b90f7b7d2e3c · outbound

This paper cites Spatial-temporal fusion graph neural networks for traffic flow forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Spatial-temporal fusion graph neural networks for traffic flow forecasting,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.562937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.384245Z digest=sha256:5daf9a7127efd1c1840155440728131f06a3ee964ac158670259d6780f331d14

Observation cf32cff4-485a-45b0-9eb0-c502664c2e38 · outbound

This paper cites End to end delay mod- eling of heterogeneous traffic flows in software defined 5g networks,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware End to end delay mod- eling of heterogeneous traffic flows in software defined 5g networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.521248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.390496Z digest=sha256:b0ce65681a052e7318c63438df22db8e326049e740fe110b052db11f95fbc3d2

Observation f303cced-6936-465e-90ce-5151e4dd116c · outbound

This paper cites A deep-learning model for urban traffic flow prediction with traffic events mined from twitter,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware A deep-learning model for urban traffic flow prediction with traffic events mined from twitter,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.437115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.398261Z digest=sha256:a1ce1576ab54e48c5178dc4c91374c468336842d6625996decf68d2bf0cc156c

Observation 3132be56-248b-4de5-b4b7-a82f8ed1c2e0 · outbound

This paper cites Kst-gcn: A knowledge-driven spatial-temporal graph convolu- tional network for traffic forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Kst-gcn: A knowledge-driven spatial-temporal graph convolu- tional network for traffic forecasting,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.240333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.407512Z digest=sha256:a44e2bd336353c91d780450d83801df0866b92119021ba6c2ef11fd1a0c3bdb5

Observation 20a8224e-c384-42a5-8ad1-10c545867320 · outbound

This paper cites Enhancing spatio- temporal traffic prediction through urban human activity analysis,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Enhancing spatio- temporal traffic prediction through urban human activity analysis,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.208547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.470024Z digest=sha256:a8104cccccf1715de68be8dfe3ec5c60a3d093e82edae0487e2f9139381f1139

Observation 1cfb683b-0ab7-463e-8112-fb7881876b99 · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Adaptive graph convolutional recurrent network for traffic forecasting,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:52.172276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.543218Z digest=sha256:4b2fb6d0bf6463529f1825f352aadec0f843e91dfd1017178be665d2dab83b19

Observation ee43dafc-c7b7-4fa4-93e9-c1911f10d6ca · outbound

This paper cites Spatio-temporal graph convolutional net- works: A deep learning framework for traffic forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Spatio-temporal graph convolutional net- works: A deep learning framework for traffic forecasting,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:51.926852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.673023Z digest=sha256:44fe88bee516041d8bc469839856c3124901ee8706af468eb261601b0a7cd942

Observation e77e7a57-7c48-44dc-9d64-2f30fe56718b · outbound

This paper cites Dynamic graph structure learning for multivariate time series forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware Dynamic graph structure learning for multivariate time series forecasting,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:51.893671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.778337Z digest=sha256:8ee77f6bf48358ee28b512cd8417da66db2629f6857302a9b7a798860e2cc73e

Observation d1bbe3c0-8446-4ef1-ac6f-99f319f02fa6 · outbound

This paper cites St-norm: Spatial and temporal normalization for multi-variate time series forecasting,.

Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware St-norm: Spatial and temporal normalization for multi-variate time series forecasting,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:08:51.861390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:51.786268Z digest=sha256:5c6f188047a4ce1033d7802ff35b537f74c7f4dc318139fc9222e338a007284b

Pith citing papers

No inbound Pith citation observations are available.