Paper Citation Record · LEDGER

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2402.05956.

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

pith.paper-citation-record.v1
2402.05956 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:06:12.547071Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

36
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0323324f-c509-45bd-945b-1202e2e309e5 · inbound

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset cites this paper.

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T20:06:12.547071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc58d632-4880-42fe-840a-0e500829f085 · inbound

Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting cites this paper.

Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:21:45.122779Z

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.

Observation 6e445a28-20c2-4320-a718-dc55d88d5c63 · inbound

MSDformer: Multi-scale Discrete Transformer For Time Series Generation cites this paper.

MSDformer: Multi-scale Discrete Transformer For Time Series Generation Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T13:44:52.875917Z

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.

Observation 2be0397c-8d7e-4ea8-9499-146358f45988 · inbound

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series cites this paper.

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:54:29.336070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bba139-6013-4e28-836f-292d134b2c3b · inbound

DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification cites this paper.

DisMS-TS: Eliminating Redundant Multi-Scale Features for Time Series Classification Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:52:19.031613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2567d205-9f03-4178-89ad-52be162d99c0 · 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 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:01:26.634168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9b10124-3a0c-46e2-968a-74e06bc6fc36 · 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 Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:35:25.298249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d5efbe-c686-4464-8baf-bccc8270dfbf · inbound

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition cites this paper.

MSGM: A Multi-Scale Spatiotemporal Graph Mamba for EEG Emotion Recognition Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T15:26:55.571356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b093dd96-8f8d-4438-a337-23a3b483c57d · inbound

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling cites this paper.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.443027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 803ebed0-ff83-4501-b74d-5aa22ad763e3 · inbound

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality cites this paper.

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T10:58:02.346598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc1159f-83a5-44bd-ad81-2d1203fd80c9 · inbound

Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models cites this paper.

Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:21:23.771218Z

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.

Observation bcc6b566-d37a-4124-9d38-a3f4cd86b34c · inbound

SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting cites this paper.

SEMixer: Semantics Enhanced MLP-Mixer for Multiscale Mixing and Long-term Time Series Forecasting Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T22:40:03.195176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf1cb38-b163-4d8a-b196-b8e6d5980f6c · inbound

On What We Can Learn from Low-Resolution Data cites this paper.

On What We Can Learn from Low-Resolution Data Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:32:19.030780Z

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.

Observation 1a094079-06ba-438a-a394-3ba52dc6c3cb · inbound

SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies cites this paper.

SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:58:29.227260Z

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.

Observation 00607754-0035-4476-b24a-2cc9f9b17f77 · inbound

CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification cites this paper.

CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T08:31:16.758150Z

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.

Observation 87de82d4-f753-40cd-8c11-19363f3df6c2 · inbound

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting cites this paper.

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:19:50.456226Z

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.

Observation 0a5443b7-ad4e-437f-8e59-f41d45210d59 · inbound

PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition cites this paper.

PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:08.989098Z

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.

Observation 893632d9-d664-4795-a4dd-ba29db1788c0 · inbound

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals cites this paper.

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T14:10:00.307077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab483af-6b9b-48b0-a44f-de5e45deda73 · inbound

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting cites this paper.

Differencing the Diffusion Trajectory toward Uncertain Components for Time Series Forecasting Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T11:33:56.982834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.