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Paper Citation Record · LEDGER

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.01638.

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

pith.paper-citation-record.v1
2406.01638 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:05.340727Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T12:36:32.513650Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 2b9c34e5-3cfc-49a8-8acb-96172d073d4c · inbound

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs cites this paper.

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:05.340727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:05.340727Z digest=sha256:9951e8ba8a1070adbace41f699670704e8de88e0c185e201e5ddd6adad62adc6

Observation 6b33c67d-f1ee-4b8b-8483-94f564e955d4 · 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 TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:15.840947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:31:55.829045Z digest=sha256:6fefb3a72f651d3928f384e616adac7a0783b3c0b08a556ce4ef3765163b75c9

Observation 64b4263c-c711-4252-a442-a0ede64fb296 · inbound

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey cites this paper.

Can LLM Improve for Expert Forecast Combination? Evidence from the European Central Bank Survey TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T21:52:49.384698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:49.384698Z digest=sha256:083957086a104803d0ea65e0f40cc6e3915c607e531e5a1c42be8d0d7e4ff33e

Observation 8449b449-045a-4517-bd6c-32c746a290ae · inbound

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models cites this paper.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:14.313572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:14.313572Z digest=sha256:9cf5897725c6867f8933fcc37c266b7566437afe7db8c73e2da9d3b3fe512175

Observation 61330db8-09ce-49dd-82b2-8b24d0027a75 · inbound

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting cites this paper.

BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T13:29:02.466074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:29:02.466074Z digest=sha256:788d32c2509dbdb1e951b8dd72fb78226a4cb427f4eb107efaceb95e37999f72

Observation 8148331a-4daa-4a8d-b02e-73268c80e4d8 · inbound

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models cites this paper.

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:36:32.521347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T12:34:54.599171Z digest=sha256:dec9d2a97f07e4d49f3418687f544c9512a262c98cfef59f94e37c637ea61d86

Observation c9984151-72e3-4b47-95a4-989734b2e57f · inbound

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions cites this paper.

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:13:30.338333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T02:12:33.135768Z digest=sha256:a842408bc8a4a72434c4d6a88ae018a19a44db888b7496607ea63bef53407305