Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.12326.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:48:12.884753Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T19:13:53.157094Z
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 99f8111f-706e-46e9-a472-2641152e896d · inbound
TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding cites this paper.
TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:48:12.884753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45331b7e-eb3b-4eb4-a008-4fc336e2ce04 · inbound
Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T12:52:17.996575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8ef2f725-1ada-4df1-8f87-51839d1b7ade · inbound
From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:32:15.663446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7c01ff6d-43a2-4376-832c-f46677e4aa72 · inbound
Towards Time Series Generation Conditioned on Unstructured Natural Language cites this paper.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:59:21.189027Z
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 cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:13:53.158894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.