Paper Citation Record · LEDGER

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2510.03244.

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

pith.paper-citation-record.v1
2510.03244 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:50:32.324996Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:50:32.186761Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:50:32.429352Z

Reference resolution

34 of 34 outbound references displayed

verified exact2
verified fuzzy26
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b08a3b5-ad39-4ed3-b74c-483fe2d99d09 · outbound

This paper cites VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:50:32.433377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01db796c-476f-4ea3-8b80-802e5b1e990d · outbound

This paper cites Problem Formulation As shown in Figure 2, the input multivariate time series is denoted asX ts ∈R M×L with look-back windowL: (x1, x2,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Problem Formulation As shown in Figure 2, the input multivariate time series is denoted asX ts ∈R M×L with look-back windowL: (x1, x2,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.768491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 937e03f5-f051-4131-9fab-d6bf6dedf88a · outbound

This paper cites an unresolved cited work.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T15:50:32.756363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f2087e7-9562-486f-aa39-0769e42fbff9 · outbound

This paper cites Specifically, it explores the dis- covery of structured spatiotemporal patterns from spatiotem- poral visualization graphs.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Specifically, it explores the dis- covery of structured spatiotemporal patterns from spatiotem- poral visualization graphs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.740401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3cc4c3f4-9bff-474b-bb1f-4e021baebc00 · outbound

This paper cites End-to-end data-driven weather prediction,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion End-to-end data-driven weather prediction,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.727731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57802a70-6360-4e36-9c7f-3a75e2f249ae · outbound

This paper cites Time-varying pat- tern causality inference in global stock markets,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Time-varying pat- tern causality inference in global stock markets,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.711579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 106f996e-cf26-4545-bb00-3b5d11bbe9f2 · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:32.215113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e4dd39-17fb-4335-9e6d-05208c8b6596 · outbound

This paper cites FourierGNN: Rethinking multivariate time series forecasting from a pure graph perspective,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion FourierGNN: Rethinking multivariate time series forecasting from a pure graph perspective,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.699931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af2d8ce3-55b2-4a27-bb1e-446bbb5108f3 · outbound

This paper cites Aut- oformer: Decomposition transformers with auto-correlation for long- term series forecasting,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Aut- oformer: Decomposition transformers with auto-correlation for long- term series forecasting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.688407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c5e88209-83d2-4da2-9804-1f412f3a536b · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:32.229236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ffc1abc-58d0-45d9-a9d2-08e435477f18 · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.676345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d2147d2-8cf2-494d-9bed-c64bcf763619 · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.663350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 647b286d-7f46-4cca-ad85-9b29cf6bdbf7 · outbound

This paper cites ModernTCN: A modern pure convolution structure for general time series analysis,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion ModernTCN: A modern pure convolution structure for general time series analysis,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.651631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a8a7236-fc3e-4ff2-97d1-3a7e46ccb837 · outbound

This paper cites A time series is worth 64 words: Long-term forecast- ing with transformers,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion A time series is worth 64 words: Long-term forecast- ing with transformers,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.640636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bcb15ed5-4410-4842-9c88-1c8c66c90952 · outbound

This paper cites MICN: Multi-scale local and global context modeling for long-term series forecasting,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion MICN: Multi-scale local and global context modeling for long-term series forecasting,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.628666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b6c74d9-3310-4a71-864e-0e4a6af61d8d · outbound

This paper cites Time-LLM: Time series forecasting by repro- gramming large language models,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Time-LLM: Time series forecasting by repro- gramming large language models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.616816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 266d8b61-64d7-4f05-9af6-b08075465706 · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion One fits all: Power general time series analysis by pretrained lm,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.605048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59985d4e-ca89-4add-a159-a4fa2789fc94 · outbound

This paper cites DAM: Towards a foundation model for forecasting,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion DAM: Towards a foundation model for forecasting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.593315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec366988-7625-4652-ac85-c23404935b97 · outbound

This paper cites MOMENT: A family of open time-series foundation models,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion MOMENT: A family of open time-series foundation models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.581502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b6361ef-58a0-4e24-b569-8e8f779e548a · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion A decoder-only foundation model for time-series forecasting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:32.270906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bdaa0a3-8b55-4fe4-89ba-826beeb4cc30 · outbound

This paper cites UniTime: A language-empowered unified model for cross-domain time series forecasting,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion UniTime: A language-empowered unified model for cross-domain time series forecasting,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.569729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e57989d9-6bc8-4c33-becd-1f3597f49197 · outbound

This paper cites Are language models actually useful for time series fore- casting?,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Are language models actually useful for time series fore- casting?,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.557959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 12c5172d-4aa7-4344-a140-b1b8d7780417 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Unified Training of Universal Time Series Forecasting Transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:32.282367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4263899-9f4d-4a82-8d51-ae792131ec19 · outbound

This paper cites Timer: Generative pre-trained trans- formers are large time series models,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Timer: Generative pre-trained trans- formers are large time series models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.545416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44cab661-487c-40f1-a247-9cc5540196b4 · outbound

This paper cites TEMPO: Prompt-based generative pre-trained transformer for time series forecasting,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion TEMPO: Prompt-based generative pre-trained transformer for time series forecasting,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.532768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88878042-b293-4d2d-8154-5374ed86b803 · outbound

This paper cites Time-LLM: Time series forecasting by repro- gramming large language models,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Time-LLM: Time series forecasting by repro- gramming large language models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.521476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f8c20b1-f061-45a3-b3b8-54678a8bf34e · outbound

This paper cites TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T15:50:32.297462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e90d989-a1a0-4651-b838-14716581a6c3 · outbound

This paper cites Timecma: Towards llm- empowered multivariate time series forecasting via cross-modality alignment,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Timecma: Towards llm- empowered multivariate time series forecasting via cross-modality alignment,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.509770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6747d9ae-c577-43b0-9202-dd4337b91275 · outbound

This paper cites Moderntcn: A modern pure convolution structure for general time series analysis,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Moderntcn: A modern pure convolution structure for general time series analysis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.496414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c84880bb-e743-4dd4-afcd-95e5b063264b · outbound

This paper cites Reversible instance normalization for accu- rate time-series forecasting against distribution shift,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Reversible instance normalization for accu- rate time-series forecasting against distribution shift,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.483585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 045eb3c1-fc81-4104-9c0c-f65d484201ed · outbound

This paper cites PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-15T15:50:32.362425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c69232e-fe4d-42a4-b9c3-bc46652c7ef1 · outbound

This paper cites Siglip 2: Multilingual vision- language encoders with improved semantic understanding, localization, and dense features,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Siglip 2: Multilingual vision- language encoders with improved semantic understanding, localization, and dense features,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.471190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e000d82a-6a8e-450e-8831-7935f4e553ff · outbound

This paper cites Chronos: Learning the language of time series,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion Chronos: Learning the language of time series,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.457491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 698fa42f-7b48-4aec-b9b0-9f4356a81de8 · outbound

This paper cites UniTST: Effectively modeling inter-series and intra-series dependencies for multivariate time series forecasting,.

VFEM: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion UniTST: Effectively modeling inter-series and intra-series dependencies for multivariate time series forecasting,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T15:50:32.446004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 8b08a3b5-ad39-4ed3-b74c-483fe2d99d09 · inbound