Paper Citation Record · LEDGER

Patch-wise Structural Loss for Time Series Forecasting

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.00877.

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

pith.paper-citation-record.v1
2503.00877 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:46:17.770822Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:10.602579Z

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 89945753-eb27-409d-b191-51d99a6efb07 · inbound

Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting cites this paper.

Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting Patch-wise Structural Loss for Time Series Forecasting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:46:17.770822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e42acd-8aed-4de9-981b-dc2174cef304 · inbound

ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters cites this paper.

ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters Patch-wise Structural Loss for Time Series Forecasting

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:06:23.926324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 95f09cca-a3d0-46f4-a8de-457a17f1d8c6 · inbound

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting cites this paper.

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting Patch-wise Structural Loss for Time Series Forecasting

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T08:34:26.228857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 904d03ab-3eda-43d9-94b5-f80cfa1d0310 · inbound

From Observations to States: Latent Time Series Forecasting cites this paper.

From Observations to States: Latent Time Series Forecasting Patch-wise Structural Loss for Time Series Forecasting

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:07:39.252791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 054919e9-0b0f-4237-a80d-5f2311a6db0d · inbound

STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy cites this paper.

STaT: Resolving Shape Distortion in Non-Stationary Time Series via Tri-Modal Synergy Patch-wise Structural Loss for Time Series Forecasting

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:24:00.646908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a3f81ad-8d35-4193-8989-c5d17a920b9c · inbound

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting cites this paper.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Patch-wise Structural Loss for Time Series Forecasting

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:17.594684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd5a4f0f-1c5f-42a8-b2ac-1901d3b3abaa · inbound

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting cites this paper.

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting Patch-wise Structural Loss for Time Series Forecasting

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:59:38.403483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4ae900d-f54c-429d-a337-92aaf0d64299 · inbound

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting cites this paper.

SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting Patch-wise Structural Loss for Time Series Forecasting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T02:09:37.887956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef9529fc-8ae1-425e-a54c-68ceb2d776e1 · inbound

TopoCast: A Topological Fidelity Framework for Evaluating Transformer-Based Time Series Forecasting cites this paper.

TopoCast: A Topological Fidelity Framework for Evaluating Transformer-Based Time Series Forecasting Patch-wise Structural Loss for Time Series Forecasting

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:50:10.604107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bba787c0-2831-4bfb-993e-ad6b5b35137c · inbound

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

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework Patch-wise Structural Loss for Time Series Forecasting

Reference 291

Resolution: unresolved; no resolver link, observed 2026-07-31T19:49:59.844568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.