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Paper Citation Record · LEDGER

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.06119.

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

pith.paper-citation-record.v1
2310.06119 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:12:49.606143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:43:14.216023Z

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 13665458-39fd-4870-8963-367d7c24c966 · inbound

Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.

Deep Time Series Models: A Comprehensive Survey and Benchmark Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:05:51.501778Z

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=2026-05-23T23:03:45.096751Z digest=sha256:a09e90248c89821bd5f9110770186f665c18788cea6f62e038bc9cf891572341

Observation f6fcb732-1152-4511-bfeb-6e0133ed03a6 · inbound

ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting cites this paper.

ST-MTM: Masked Time Series Modeling with Seasonal-Trend Decomposition for Time Series Forecasting Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T04:12:49.606143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:12:49.606143Z digest=sha256:465278eb9259699c9df3bf00c0196dbc6cb12be439a6584eff0c28e894083e2d

Observation 7e9c69a4-df69-4387-ba1a-64e0dc577446 · inbound

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting cites this paper.

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T16:35:26.066643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:35:26.066643Z digest=sha256:3fa921bb4783687226e5eb8e8eb5e6af3a12d678336e94e52814bd643f6d2b88

Observation ce286bce-7597-418e-a011-32f462355c54 · inbound

OSM+: Billion-Level OpenStreetMap Dataset for City-wide Experiments cites this paper.

OSM+: Billion-Level OpenStreetMap Dataset for City-wide Experiments Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:44:51.882516Z

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=2026-05-22T12:42:05.556982Z digest=sha256:d4251946c408867ad6661602dcea093c79e05f2b41b319b92ae12c758fe4a4c5

Observation f7bb1b43-e3ec-45e6-9241-1be226c5e652 · inbound

From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks cites this paper.

From XXLTraffic to EvoXXLTraffic: Scaling Traffic Forecasting to Sensor-Evolving Networks Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:14.217909Z

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=2026-06-29T07:35:46.619739Z digest=sha256:75cdcddfbc766838b153ddce31ef410b46cba8f9d0e3347bc151f5b4c0865f8b

Observation 6a0ca60a-d0ac-481b-9f46-e2dbce751a25 · inbound

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework cites this paper.

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis

Reference 255

Resolution
unresolved
no resolver link, observed 2026-07-31T19:49:58.317853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T19:49:58.317853Z digest=sha256:2e58fce45ccd3f79f02579fb06afc3ffe239f874236ccf840d36befeb72e50a2