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Paper Citation Record · LEDGER

CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.05316.

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

pith.paper-citation-record.v1
2406.05316 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:16.783362Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T16:24:15.966260Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 602d3de5-c857-465d-8d4f-a5fa9ef6d9f6 · inbound

Channel Normalization for Time Series Channel Identification cites this paper.

Channel Normalization for Time Series Channel Identification CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:16.783362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:16.783362Z digest=sha256:d4b83a2c0d7ce0a6cb085a8f14f49f7cf27c3f22afdfbb01376373e142af2ee4

Observation 50f07835-7a3b-4e31-8ec5-6271d9333352 · inbound

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting cites this paper.

Fourier Basis Mapping: A Time-Frequency Learning Framework for Time Series Forecasting CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T18:01:27.684462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:01:27.684462Z digest=sha256:f1871d99158eefcba8502cd69851fcf60becdb3199ade9991b1fa7048b9abd8c

Observation c5d8c5f6-aefc-46c0-b2f9-4ade76d82e69 · inbound

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis cites this paper.

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-21T16:24:15.968739Z

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=2026-05-21T16:21:34.030809Z digest=sha256:d135d5f282e1cb66e7581556b6946fa5584b1d7946423c96094f3df5b377e524

Observation e9042c89-6770-436d-b9f4-e3b59943d4b1 · inbound

HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling cites this paper.

HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-01T19:44:33.090542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:44:33.090542Z digest=sha256:3a107303024712eb31bd20de26339ec200870d311cac1739965488721b91c1af