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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:15:44.431699Z

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 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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T09:31:55.829045Z digest=sha256:16d3128695242324499fff706a2c01c992706e7cabc332adda78a9463432d8ee

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T20:23:40.207908Z digest=sha256:7e4c5c37fb9040abf193468bebe5081be1a9458c230c3da65556aac709e68f14

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.

source=pdf_text observed=2026-08-04T11:15:44.431699Z digest=sha256:c86bce167c2fc5339d8d4fb3944dee08a5eff2b62d1b94e33231c379df179ea3

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 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-15T02:12:33.135768Z digest=sha256:4b8666e1b839b5e16d2468ea0284077335afae84f92b58b1678a4dbe8eb3f1ce

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-08T04:07:59.537908Z digest=sha256:70b548619160eb0a046e98369f0c716e91a4bfdff872804900c39fec77602082