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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

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=sha256:56db3a868ec5a45d53bc883f1a5db2627a1c16d19cc777a2e8d96680da2f9764

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:bb08a1b257316597bdea8f59e4e45488642f3a062e67fc484df0615bb4c955e1

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=sha256:9a8ff758aa1d143d50891b30a27306fa45c615af395bd44d8f75a43fed6424dc

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=sha256:321d79b2073a17b4645eac29b29e57db3f2aaa0920dd4cb0c423d6b447c902f8

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=sha256:5ea340e21355d211d4bb6fbce42fffd64031e135a33f8b0a27b2cdd5f66819e8

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:c8e7ba76a940787990489dfad61b50af5e35c737b5a3b7b5be28a355e8e79a49

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T01:00:02.463337Z digest=sha256:df35d757f74fef2a7be96c25f3ec0b70a94f9cf3456244a0501f7d20b91242f9