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Paper Citation Record · LEDGER

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting

As of 10 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 4 inbound Pith citation observations for arXiv:2602.01588.

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

pith.paper-citation-record.v1
2602.01588 v3

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:41:26.342836Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:44:45.983171Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T04:35:57.528132Z

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6c46d53d-e587-411a-a639-36418d260597 · outbound

This paper cites [Yes, please refer to Appendix A] (b) An analysis of the properties and complexity (time, space, sample size) of any algorithm.

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting [Yes, please refer to Appendix A] (b) An analysis of the properties and complexity (time, space, sample size) of any algorithm

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T05:41:26.054789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:41:26.054789Z digest=sha256:0f857ff12f6fdc5a5aec5a8bc7b563a1fe0eeedba2ac6ad7e11e43dbd18b425f

Observation 623462e2-328c-484a-8f66-ec6528c6592a · outbound

This paper cites [Yes, please refer to Appendix A] (b) Complete proofs of all theoretical results.

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting [Yes, please refer to Appendix A] (b) Complete proofs of all theoretical results

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T05:41:26.108431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:41:26.108431Z digest=sha256:54e935c416dbc65b381e85054451de7a59353f0ea469a5b54e68424a5301be8a

Observation 43565ddc-2a38-47ef-90c4-c0ae50df9608 · outbound

This paper cites [Yes, we provide source code, data and guidelines in the supplementary.] (b) All the training details (e.g., data splits, hy- perparameters, how they were chosen).

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting [Yes, we provide source code, data and guidelines in the supplementary.] (b) All the training details (e.g., data splits, hy- perparameters, how they were chosen)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T05:41:26.176960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:41:26.176960Z digest=sha256:ea7446ba23c70baefc3ad8df42c5761f5d1e1490ac3516161c023d545e19a8a7

Observation a747b8fb-5d4f-4e2f-bfe0-967cd27e1edb · outbound

This paper cites [Yes] (b) The license information of the assets, if ap- plicable.

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting [Yes] (b) The license information of the assets, if ap- plicable

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T05:41:26.253318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:41:26.253318Z digest=sha256:9c17ef43db37056e43e353405a5aebfd23320ec234ea363a9e0a712792074cfe

Observation bfb0392d-7752-4578-bf7e-9a4443471c9a · outbound

This paper cites [Not Applicable] (b) Descriptions of potential participant risks, with links to Institutional Review Board (IRB) approvals if applicable.

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting [Not Applicable] (b) Descriptions of potential participant risks, with links to Institutional Review Board (IRB) approvals if applicable

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T05:41:26.342836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:41:26.342836Z digest=sha256:5afe322839f8d285af2a2b7526803bb7c137d4ec964908660f70c66d65f1e3cd

Observation 8a45edd4-49e8-4e0e-8a99-53ed8147f8fc · outbound

This paper cites ISBN 9781510860964.

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting ISBN 9781510860964

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T05:41:25.982889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:41:25.982889Z digest=sha256:af262937fd6e4ad9ce5184eb6659f0f9dce332fe465ac9303c9bd361daab58c3

Observation 8619d3c0-9eed-471d-b033-16e34ba46a75 · outbound

This paper cites Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019.

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T05:41:25.924353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:41:25.924353Z digest=sha256:596e165140ca5b09906151788f0e7bdee4c8cd0538138754e314a5097c7a84c3

Pith citing papers

Observation e209e27b-f255-4db8-88ba-549d4cc03d8b · inbound

Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion cites this paper.

Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T17:44:45.983171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:44:45.983171Z digest=sha256:1bb9e9edc396380ab9ec637e73c253119144a98337638b25e76523074bfc4644

Observation b5c3d777-a73d-4352-bb0d-0929182a2442 · inbound

SSDA: Bridging Spectral and Structural Gaps via Dual Adaptation for Vision-Based Time Series Forecasting cites this paper.

SSDA: Bridging Spectral and Structural Gaps via Dual Adaptation for Vision-Based Time Series Forecasting Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-29T02:14:24.779973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T21:39:37.875167Z digest=sha256:d5ab7908a930c6161382188cbc6abe42fe0b5482eb40f4aa06f2906f761c1a8b

Observation 656ddea2-5320-44b1-95d7-fbee5aa97121 · inbound

Reviving Error Correction in Modern Deep Time-Series Forecasting cites this paper.

Reviving Error Correction in Modern Deep Time-Series Forecasting Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T02:14:24.779973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T05:25:34.356205Z digest=sha256:a048f75d3a03a99f14400f1f2d777c03fabb990586685a626746935fb00ba94e

Observation 7de73e1f-6ccd-450e-a31e-342d4f5473b6 · inbound

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation cites this paper.

ALER-TI: Aligned Latent Embedding Retrieval for Time Series Imputation Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting

Reference 19

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T04:35:57.530299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-09T04:31:40.284085Z digest=sha256:4e8bce2eb1061f172f95476521ca2a4a4f48f77aaa76988ce8e064ca269e4ccc