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Paper Citation Record · LEDGER

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections

As of 4 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2604.09336.

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

pith.paper-citation-record.v1
2604.09336 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:16:05.370219Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d107db9-6640-4eb9-a9c9-1e920c6512bd · outbound

This paper cites Real-time intersection turning movement flow forecasting using neural net- works.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Real-time intersection turning movement flow forecasting using neural net- works

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.290667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation c2683c9d-cd7a-47e6-b1ec-829e869f16b9 · outbound

This paper cites Real-time short-term intersection turning movement flow forecasting.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Real-time short-term intersection turning movement flow forecasting

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.282478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:0db875e825eaa0abf33c6b5b284a2a1072a491ceacb719efaee621cf639e65eb

Observation 86d38a8d-261a-4b68-b434-78ec7dd6f27b · outbound

This paper cites Deep learning methods for intersection traffic prediction: A survey.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Deep learning methods for intersection traffic prediction: A survey

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.298817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation b8a7c2ef-a847-41af-9b2d-c2823169d340 · outbound

This paper cites Deep learning algorithms for traffic forecasting: A comprehensive review.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Deep learning algorithms for traffic forecasting: A comprehensive review

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.285253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:aa04a06bdd3d0bbb5a224056060023c33440fd6c7b82b9cc818019c9938b62c4

Observation 0b8d7fb5-a832-4fa1-a255-6fdb419901d2 · outbound

This paper cites A survey on modern deep neural network for traffic prediction: Trends, methods and challenges.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections A survey on modern deep neural network for traffic prediction: Trends, methods and challenges

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.301434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:8f79bfcb40bb543a51167925e535dc0d5090baecd2ad28459985c26c73a77d35

Observation 62dd5e23-78c9-4be4-b378-e174cb338b8f · outbound

This paper cites Traffic flow prediction in urban built-up areas using deep learning.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Traffic flow prediction in urban built-up areas using deep learning

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.274159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:877acdae9e6bddc7ab427c19116a90d6188caaa7c03f2dde00aafc400ffa57f7

Observation aede186f-9fc7-4881-b4d0-240b82b6b0a0 · outbound

This paper cites A comprehensive survey of deep learning-based traffic flow prediction models.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections A comprehensive survey of deep learning-based traffic flow prediction models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.276843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:a059f4a3580a401da18ce5a0313e135899ecfa6e83040575796c19dd1290abcc

Observation 60ea541d-f3ba-4b45-a2bc-9f352211d011 · outbound

This paper cites Traffic flow prediction using deep learning techniques in urban road networks.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Traffic flow prediction using deep learning techniques in urban road networks

Reference 8

Resolution
verified exact
doi, observed 2026-05-10T21:00:46.909904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:b3ff0001830397d3ec7ac9114b8f9d8036869f3a0ac2b78a47ee4abf92784147

Observation 9256d93c-2323-4baf-92cb-88fa5aa68daa · outbound

This paper cites Long-term traffic prediction using deep learning long short-term memory.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Long-term traffic prediction using deep learning long short-term memory

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.293163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:dd2413df3530e240dbcbd7afa4737e94be382e0307c5072c41e66701cbd73228

Observation 30b27efd-d6fa-463b-a3c0-4e4417705a43 · outbound

This paper cites A combined short-term traffic flow prediction model using vmd and deep learning.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections A combined short-term traffic flow prediction model using vmd and deep learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.267544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:96480c37f7679964fba72aeea90d9f378e0ffcb0c4f15fcbbad3c076fbc28bff

Observation 634bde21-0cb4-46dd-8e7f-a27dd52f5ec9 · outbound

This paper cites Enhancement of traffic forecasting through graph neural networks.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Enhancement of traffic forecasting through graph neural networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.288025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:3e25705d4acae4343b6c7e4a8c089e325ece1398b8ddc8095b11c4dd3411a35b

Observation 81d002c4-d0e0-4ea2-8112-14bf163f9000 · outbound

This paper cites Urban intersection traffic flow prediction using physics-guided spatio- temporal graph neural networks.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Urban intersection traffic flow prediction using physics-guided spatio- temporal graph neural networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.271106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:1d693b92e48c48e9a9b659084db46aadbfd4144a5b36e2ca89780990da0f2d8d

Observation c04de5e1-c93d-4215-a428-7cc68d07e488 · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:15:58.408420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:dc3a8149e21489a0ab9051ba285851cb4db50209fe2997a09535e6a972c86151

Observation d2af9332-15df-459c-9237-cab268bd16e0 · outbound

This paper cites Hybrid spatial–temporal graph neural network for traffic forecasting.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Hybrid spatial–temporal graph neural network for traffic forecasting

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.279620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:ae64af7fc7569b68fe5465b477e71a01f0b1708573e8213cb86e5947addff25b

Observation 5d46ba3b-f87e-4cf8-8108-7dbff7eccbfb · outbound

This paper cites Spatial–temporal graph transformer network for traffic network flow prediction using parallel training based on cloud computing.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Spatial–temporal graph transformer network for traffic network flow prediction using parallel training based on cloud computing

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.296140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:0e8330b1bb4d6ba5d3445f23fb615fced156ca8fd58180d489c4a3d430590a29

Observation d77c7d6d-2083-4729-8436-7637628fd126 · outbound

This paper cites Spatio-temporal pivotal graph neural networks for traffic flow forecasting.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Spatio-temporal pivotal graph neural networks for traffic flow forecasting

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.256950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:547ebb7e7de849c417174ea3fdb8f1ad6e2491caf39791a7ff9b51d3cd11f5c2

Observation 6624df0e-bbae-4eae-ae2e-806a61424c79 · outbound

This paper cites Physics-informed neural networks (pinns)-based traffic state estimation: An application to traffic network.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Physics-informed neural networks (pinns)-based traffic state estimation: An application to traffic network

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.262224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:ff3e8f7ec5195fa0813a0acd8c7abb1c97b88cfed9a79461ca0832c581b3fef5

Observation b86e3814-e859-48e8-95c2-2ae9e4617c2c · outbound

This paper cites Hierarchical predictive control of network traffic signals using link transmission model with queue dynamics.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Hierarchical predictive control of network traffic signals using link transmission model with queue dynamics

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.259696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:439eafd75fbc43742152ab2663bf7bd1236235fb5c67bc520f411b61c77f3bf8

Observation 9fde66eb-d37f-4591-a111-38e9ccef0568 · outbound

This paper cites Traffic flow prediction based on federated learning and spatio-temporal graph neural networks.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Traffic flow prediction based on federated learning and spatio-temporal graph neural networks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.264763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:93bc7bdcb07efd8f5b107d3f42dc426d31cd7d31e32fb813d6fdfeb9b3c8957b

Observation ae58dccd-fb91-4b7e-bd2f-37d6b226a166 · outbound

This paper cites A parallel adaptive feature fusion framework for intersection-level traffic turning movement flow prediction.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections A parallel adaptive feature fusion framework for intersection-level traffic turning movement flow prediction

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.251549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:084faf6809238fcbe9dbafdaefb9952b0ba7db997513a0e6c16b48d712b5fcd3

Observation 3dba715b-92e8-4700-ad13-d71a09d9455a · outbound

This paper cites Pnns4: A parallel quadruple neural network model for intersection turning traffic flow prediction.

Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections Pnns4: A parallel quadruple neural network model for intersection turning traffic flow prediction

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T11:19:31.254335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:16:05.370219Z digest=sha256:f7d58691b2067b0dcf203b3afa2696be31870519fe7a19baf1f6df320b7c7109

Pith citing papers

No inbound Pith citation observations are available.