Pith. sign in

Paper Citation Record · LEDGER

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion

As of 7 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 1 inbound Pith citation observation for arXiv:2508.04251.

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

pith.paper-citation-record.v1
2508.04251 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:53:09.518298Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:44:44.382549Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac09e849-31e7-48a9-bc68-44aaf7d1fc03 · outbound

This paper cites In International conference on machine learning, 27268–27286.

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion In International conference on machine learning, 27268–27286

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:53:09.960753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T00:53:09.518298Z digest=sha256:aea530fadf1b79637304f20a02252db5c03aa165e4aea31198042cc4bde54f68

Observation 3a9bf739-95da-4a0d-bd1f-2b4fe5cb1a08 · outbound

This paper cites FrAug: Frequency Domain Augmentation for Time Series Forecasting.

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion FrAug: Frequency Domain Augmentation for Time Series Forecasting

Reference 638

Resolution
unresolved
no resolver link, observed 2026-08-06T00:53:09.189490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:53:09.189490Z digest=sha256:aa56b27a29a22630a38cacd4ca16594896b2c3eb5d13724c975ffa7df4315be9

Observation 991c3a75-68a3-449d-bd3e-5ad2a41fbaea · outbound

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

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T00:53:09.427441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:53:09.427441Z digest=sha256:b150651ebffe7e50ba0a26b8b24ec79bdd3e14ba59b17ce694bad0859ec4f782

Observation 0a482a21-8084-49f6-b459-24316de54264 · outbound

This paper cites FreDo: Frequency Domain-based Long-Term Time Series Forecasting.

T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion FreDo: Frequency Domain-based Long-Term Time Series Forecasting

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T00:53:09.775541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T00:53:09.312458Z digest=sha256:edbb4baa0595abc453f2ceb3606b31aaa08cac0a686fb90e7a5c74a9c1fea5af

Pith citing papers

Observation 07a75f87-5fe4-49c4-a765-38f7daaef1af · 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 T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T17:44:44.382549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:44:44.382549Z digest=sha256:4378e0d82f2521cb16e3590788482457df63f1e73b03381eb6a9762aae13a966