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Paper Citation Record · LEDGER

Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.06735.

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

pith.paper-citation-record.v1
2411.06735 v2

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 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:46.007674Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:09:56.428227Z

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 21e2f8ce-87ed-4fd0-b820-d95b77d0521b · inbound

TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning cites this paper.

TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:46.007674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:46.007674Z digest=sha256:1d4d4e6ced8c0da3e2dc106231b504398b7801162b68f908540db17d4f7515c7

Observation fe91bb9f-6932-467f-9a16-64c4008ef345 · inbound

Diffusion Models for Time Series Forecasting: A Survey cites this paper.

Diffusion Models for Time Series Forecasting: A Survey Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-06T15:58:58.435978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:58.435978Z digest=sha256:c34b74dd7558c609f43baad6bf1d4c48dea5ec070d68d5f411bb5533f937ce87

Observation e2c393bf-4620-4e96-9c2b-ef2eb98792be · inbound

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting cites this paper.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:45.687167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:45.687167Z digest=sha256:6f5fd3e1d57774dcb0cb149c5689d5f889a9d5ca695465cdc15dbc8091486405

Observation cf4a34db-5695-4303-8b3d-252535e25450 · inbound

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

Text Reinforcement for Multimodal Time Series Forecasting Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T13:25:55.749780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:25:55.749780Z digest=sha256:6a87b8c6d637aa1d547da89604089d9638398cf7730638049fcc70033d8eaa6f

Observation c1bc31cb-c66e-4275-829c-4dadbe4a0dde · inbound

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models cites this paper.

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T16:49:29.701238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:49:29.701238Z digest=sha256:e7006cb781641d7d13abaef205a4210e17e15677829171789a06a079e1702241

Observation 848cf7aa-aac4-4fe8-8484-2c5d116d1cdc · 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 Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T17:44:45.113402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:44:45.113402Z digest=sha256:452694328f193624761ebbec1e8e80def8291e65f6fc37e66885b96805fcfe88

Observation 44517f4b-2263-4450-baab-deaa2c098e19 · inbound

MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios cites this paper.

MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:09:56.429850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T01:00:02.463337Z digest=sha256:ed751bf93ba7ef116643a3635806f24184e144f12b73ab2480383a962453f0d9