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Paper Citation Record · LEDGER

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2507.03927.

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

pith.paper-citation-record.v1
2507.03927 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:03:43.777778Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd3252fc-cc6c-496b-8a7a-acf0b60d34ff · outbound

This paper cites Deep learning on traffic prediction: Methods, analysis, and future directions,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Deep learning on traffic prediction: Methods, analysis, and future directions,

Reference 1

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unresolved
no resolver link, observed 2026-08-06T20:03:42.441435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ae3d733d-1f3b-4269-8a5d-d115fba54700 · outbound

This paper cites Traffic fore- casting using temporal line graph convolutional network: Case study,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Traffic fore- casting using temporal line graph convolutional network: Case study,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T20:03:45.708035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e4ab2ca7-73e4-47d8-88e0-a188d79fa86f · outbound

This paper cites idrivesense: Dynamic route planning involving roads quality infor- mation,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction idrivesense: Dynamic route planning involving roads quality infor- mation,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T20:03:45.454020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 91544d86-fc08-41f1-aab5-08e2d75e1163 · outbound

This paper cites A task-oriented spatial graph structure learning method for traffic forecasting,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction A task-oriented spatial graph structure learning method for traffic forecasting,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T20:03:45.197788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation aec707f4-2350-4980-99fe-b306b9a58f0e · outbound

This paper cites An online learning framework for uav target search missions in non-stationary environments,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction An online learning framework for uav target search missions in non-stationary environments,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T20:03:44.973871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:03:42.837366Z digest=sha256:671eb5b7148e259d47a28a8bd149e9dece1e05e04b0b0c3caf78734cbcd390c4

Observation 2bd134a1-6dca-41b2-aadb-b1c4a3e52fb5 · outbound

This paper cites Frugal Prompting for Dialog Models.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Frugal Prompting for Dialog Models

Reference 6

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verified exact
local_arxiv, observed 2026-08-06T20:03:44.061911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T20:03:42.908198Z digest=sha256:89754338f2435532b13991a3be592c431d7728a1754738df991fedf5927b4df1

Observation bfc29fc7-15e5-4e62-9461-82d3434a7152 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 7

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unresolved
no resolver link, observed 2026-08-06T20:03:43.021495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e3b44523-8556-4ee9-8496-98c144d5835a · outbound

This paper cites Semi-mamba: Mamba- driven semi-supervised multimodal remote sensing feature classifica- tion,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Semi-mamba: Mamba- driven semi-supervised multimodal remote sensing feature classifica- tion,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T20:03:44.753971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c4e27367-2973-4dff-a0ed-05ab4c4a51c6 · outbound

This paper cites Vivim: a video vision mamba for ultrasound video segmentation,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Vivim: a video vision mamba for ultrasound video segmentation,

Reference 9

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unresolved
no resolver link, observed 2026-08-06T20:03:43.237887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e4efa527-9362-4fc1-aae0-b94801d41b05 · outbound

This paper cites Is Mamba Effective for Time Series Forecasting?.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Is Mamba Effective for Time Series Forecasting?

Reference 10

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unresolved
no resolver link, observed 2026-08-06T20:03:43.336851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c8dc0ded-2edf-4686-9cab-413df5d8220d · outbound

This paper cites ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction ST-MambaSync: The Complement of Mamba and Transformers for Spatial-Temporal in Traffic Flow Prediction

Reference 11

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unresolved
no resolver link, observed 2026-08-06T20:03:43.446770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9249f95e-9e56-44b0-b605-dd86e1fcc3b6 · outbound

This paper cites Attention based spatial- temporal graph convolutional networks for traffic flow forecasting,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Attention based spatial- temporal graph convolutional networks for traffic flow forecasting,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T20:03:44.491322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9cbd18c7-e8b5-460d-8bed-1847cae747e7 · outbound

This paper cites Traffic flow prediction models – a review of deep learning techniques,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Traffic flow prediction models – a review of deep learning techniques,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T20:03:44.289864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d321aee1-6f27-4863-afb8-86907f726a67 · outbound

This paper cites Urban traffic flow prediction techniques: A review,.

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction Urban traffic flow prediction techniques: A review,

Reference 14

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unresolved
no resolver link, observed 2026-08-06T20:03:43.777778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.