Paper Citation Record · LEDGER

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.08627.

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

pith.paper-citation-record.v1
2406.08627 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:27:56.035367Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:14:29.582825Z

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 335f7531-ef66-45c4-bc0e-dfd3204059cb · inbound

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration cites this paper.

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T19:21:23.465565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c35b891-62d5-4617-bc21-8b1aab6d9cf7 · inbound

Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts cites this paper.

Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:27:56.035367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c257a7-cb7c-4362-acf5-a2720ab6d720 · inbound

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models cites this paper.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.866469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02df73e-b874-4fca-87c8-d79296f0e11f · inbound

Human in the Loop Adaptive Optimization for Improved Time Series Forecasting cites this paper.

Human in the Loop Adaptive Optimization for Improved Time Series Forecasting Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:59.939497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c27e22cd-7aca-4e11-9ab1-e20b32f5e47c · 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 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.930096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6700148f-a925-4bad-8def-4db186fffa1c · 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 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:46.004562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd418a7-8eaa-4017-99b7-6e61e19e234f · inbound

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

Diffusion Models for Time Series Forecasting: A Survey Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:45.813660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20efdd91-5f30-44f0-a408-ad2b3ecb3c75 · inbound

Text Reinforcement for Multimodal Time Series Forecasting cites this paper.

Text Reinforcement for Multimodal Time Series Forecasting Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T13:25:55.743354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08838e34-2479-44f3-89fe-6c784e95bf05 · inbound

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:24:21.596365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e861e614-8808-4dd7-9b4c-d0970d30b4ee · inbound

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis cites this paper.

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T11:15:44.431699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad44aa81-221e-4684-9ef0-116ced05dee9 · 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 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:13:30.409344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3d0fb546-2bb1-4587-85bc-ab07a4dc24b7 · inbound

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models cites this paper.

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 129

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:14:29.584250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec8466e4-83b5-4d05-9ce6-a7ed756f37f9 · inbound

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers cites this paper.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-15T14:34:14.127063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.