Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.12326.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:59:21.189027Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T19:13:53.157094Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 45331b7e-eb3b-4eb4-a008-4fc336e2ce04 · inbound
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
Reference 40
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 8ef2f725-1ada-4df1-8f87-51839d1b7ade · inbound
From Time Series Analysis to Question Answering: A Survey in the LLM Era Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
Reference 129
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 7c01ff6d-43a2-4376-832c-f46677e4aa72 · inbound
Towards Time Series Generation Conditioned on Unstructured Natural Language Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
Reference 45
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84faaa7c-cac7-4866-98e2-6ba6f1705f7a · inbound
A Study of Temporal Fusion Strategies for Named Entity Recognition in Historical Texts Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
Reference 41
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.