Paper Citation Record · LEDGER

Context Matters: Leveraging Contextual Features for Time Series Forecasting

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.12672.

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

pith.paper-citation-record.v1
2410.12672 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:25:55.746364Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:20:26.570418Z

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 719cfc8d-b4a0-4164-97a0-9bce8e3017ae · inbound

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

Text Reinforcement for Multimodal Time Series Forecasting Context Matters: Leveraging Contextual Features for Time Series Forecasting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.746364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b74100d-c858-41e5-937c-7a0ea80184fa · 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 Context Matters: Leveraging Contextual Features for Time Series Forecasting

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T17:44:44.118361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcee4b79-a059-4ab2-9577-9a4d8cb8f875 · inbound

Forecasting Multivariate Time Series under Predictive Heterogeneity: A Validation-Driven Clustering Framework cites this paper.

Forecasting Multivariate Time Series under Predictive Heterogeneity: A Validation-Driven Clustering Framework Context Matters: Leveraging Contextual Features for Time Series Forecasting

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:20:26.571780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 725440cd-2793-409f-87ff-dfbb3f6c1429 · inbound

LiFT-MPC: Language-in-the-Loop Feedback Tuning of Cost Previews for MPC cites this paper.

LiFT-MPC: Language-in-the-Loop Feedback Tuning of Cost Previews for MPC Context Matters: Leveraging Contextual Features for Time Series Forecasting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-30T11:12:21.085909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.