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Paper Citation Record · LEDGER

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.02609.

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

pith.paper-citation-record.v1
2506.02609 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:24:15.117502Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93a446a2-21a0-455d-b8f4-14234501789f · outbound

This paper cites Pattern Recognition 121, 108252 (2022).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Pattern Recognition 121, 108252 (2022)

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a255fe00-f1ad-49f7-91d6-13e3972399ab · outbound

This paper cites In: Proceedings of the web conference 2020.

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Proceedings of the web conference 2020

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:19.115729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 92f755a7-18ed-40fb-9a97-aa542393d2f0 · outbound

This paper cites Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks.

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:12.816574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:12.816574Z digest=sha256:2759b40fb85af82b9d0856345ad389897c57eb615c3b761fa164a687d4922fe2

Observation b40400dc-e65f-4b1d-852b-587422485521 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering 35(9), 9168 –9180 (2022).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting IEEE Transactions on Knowledge and Data Engineering 35(9), 9168 –9180 (2022)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:18.939071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b20b311a-70c1-4791-9bcf-4112f1cd318a · outbound

This paper cites IEEE Transactions on Intelligent Trans -porta- tion Systems 14(4), 1700–1707 (2013).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting IEEE Transactions on Intelligent Trans -porta- tion Systems 14(4), 1700–1707 (2013)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:18.670117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ff81c9b1-80c4-4137-ad9b-9e2258f0f868 · outbound

This paper cites Transportation Research Part C: Emerging Technol- ogies 62, 21–34 (2016).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Transportation Research Part C: Emerging Technol- ogies 62, 21–34 (2016)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:18.492248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ae1b28e5-ebe6-44df-abcb-146b4e55bc3b · outbound

This paper cites IET intelligent transport systems 11(2), 68–75 (2017).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting IET intelligent transport systems 11(2), 68–75 (2017)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:18.297619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b6b7145c-94bf-4c26-aad1-194abee4bd68 · outbound

This paper cites Soft Computing 24, 16453–16482 (2020).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Soft Computing 24, 16453–16482 (2020)

Reference 8

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raw_fallback, observed 2026-08-07T11:24:18.114051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 326adcd3-962f-416f-adac-d45b69c84ebc · outbound

This paper cites In: 2020 IEEE International Conference on Data Mining (ICDM).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: 2020 IEEE International Conference on Data Mining (ICDM)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:17.869751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 760eadca-37e3-4b05-9eb4-6d36cf9b03bc · outbound

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

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:13.523844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63e31efa-6e90-4760-96e0-e94e7154ac64 · outbound

This paper cites Information and Computer Science De- partment University of Hawaii at Manoa Honolulu, USA 855(1-23), 40 (2008).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Information and Computer Science De- partment University of Hawaii at Manoa Honolulu, USA 855(1-23), 40 (2008)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:17.759163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2e3e1ff8-2061-4c20-83f8-06c1f95e277b · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 12

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unresolved
no resolver link, observed 2026-08-07T11:24:13.696862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:13.696862Z digest=sha256:12258227918eb72eefc7824b7073784ac96ade37f9fb3070f0be284ff4f1453a

Observation c5f78e13-8fa3-4c17-9ac2-002af777c0f5 · outbound

This paper cites In: Interna- tional conference on machine learning.

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Interna- tional conference on machine learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:17.538569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 61a54432-c90c-4d9c-a8a6-b2e5518a5a9a · outbound

This paper cites Pattern Recognition 142, 109670 (2023).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Pattern Recognition 142, 109670 (2023)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:17.405973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 395abe88-fd0c-4707-988c-ce9acae8eef8 · outbound

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

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Proceedings of the AAAI conference on artificial intelligence

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:17.101439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6c9ee5d3-19ea-4f3d-bafa-870930d03ba9 · outbound

This paper cites In: Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining.

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:16.961060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation eea7b5e7-081c-473a-b27c-cd0fd496159d · outbound

This paper cites Advances in neural information processing systems 27 (2014).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Advances in neural information processing systems 27 (2014)

Reference 17

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no resolver link, observed 2026-08-07T11:24:14.167203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:14.167203Z digest=sha256:f537ce65941f8eb009b2ee8722bee599363ef060e858fe383950d0939cdf0db0

Observation 39c52343-5579-4d2a-9f85-6ead701093bf · outbound

This paper cites In: Proceedings of the 28th ACM international conference on infor- mation and knowledge management.

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Proceedings of the 28th ACM international conference on infor- mation and knowledge management

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:16.728689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8cd9f7e8-8245-403c-836b-2c8f0a5d2b81 · outbound

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

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 19

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unresolved
no resolver link, observed 2026-08-07T11:24:14.408126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:14.408126Z digest=sha256:9bfc9f64ab2e23eda341f7bd4be71b847cfc9d7193ea0f87e73d5657d24e0f71

Observation f93d2cc3-27ac-42df-bca5-191018d254d5 · outbound

This paper cites Ieee Access 9, 35973–35983 (2021).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting Ieee Access 9, 35973–35983 (2021)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:16.574053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 29e1d0a1-8328-4db8-8058-7bc18a2447ca · outbound

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

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Proceedings of the AAAI conference on artificial intelligence

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:16.362706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:14.630187Z digest=sha256:476844bdfcc41876084043848262f512aa555869698b3a459055f584566f2733

Observation 005d3495-7ca4-4b9d-bef1-11b884caa58a · outbound

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

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:16.178185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a9af5b33-27da-4bb9-9f08-e2afbd9492a1 · outbound

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

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Proceedings of the AAAI conference on artificial intelligence

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:15.921654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 71e4b333-d39e-4282-a51e-5a3f1d709f23 · outbound

This paper cites In: International conference on ma- chine learning.

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: International conference on ma- chine learning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:15.714074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:14.903705Z digest=sha256:8d9be29fea050e9a08161955dfab4b7c9122c01a95634145a9b869ff71c9e906

Observation e8968e9b-e0fc-4c9f-9870-f8b9fb55e632 · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems 24(5), 5516–5526 (2023).

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting IEEE Transactions on Intelligent Transportation Systems 24(5), 5516–5526 (2023)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:15.508549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.023466Z digest=sha256:1c90fec255698a708fb95344893c0b4c11fb72c78d200b77114d428574971a70

Observation b8bdd228-3d66-48f6-bcdd-fb4607866b4b · outbound

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

A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting In: Proceedings of the AAAI conference on artificial intelligence

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:15.356159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.