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Paper Citation Record · LEDGER

Foundation Models for Time Series Analysis: A Tutorial and Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.14735.

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

pith.paper-citation-record.v1
2403.14735 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:34:15.184960Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:47.602049Z

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 b05318f7-845e-4776-91c5-b8cc3c01a31e · inbound

Universal Time-Series Representation Learning: A Survey cites this paper.

Universal Time-Series Representation Learning: A Survey Foundation Models for Time Series Analysis: A Tutorial and Survey

Reference 120

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:28:53.388872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T04:26:45.527625Z digest=sha256:66016363db2156fc288a6baffb66f8ccdbcfcd95b7ed7a6781d7d069c063109e

Observation c955adaf-8831-4f45-b923-79eba55f8f99 · inbound

Relational Conformal Prediction for Correlated Time Series cites this paper.

Relational Conformal Prediction for Correlated Time Series Foundation Models for Time Series Analysis: A Tutorial and Survey

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T21:34:15.184960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:34:15.184960Z digest=sha256:2209a56f0b25ca4802c5a33480b23ecbdb712d6306a818a9cf954c3a42b7e96e

Observation d3538f75-47f8-4d62-bfc2-fd1db26eefda · inbound

MoTime: A Dataset Suite for Multimodal Time Series Forecasting cites this paper.

MoTime: A Dataset Suite for Multimodal Time Series Forecasting Foundation Models for Time Series Analysis: A Tutorial and Survey

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:27:21.526188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:21.526188Z digest=sha256:edd447fd057db99358c827a01a378950e62010f33f90e3773a23e16e2240e842

Observation 062880b6-1975-4c44-b77e-5ad2f413b9c3 · inbound

CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams cites this paper.

CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams Foundation Models for Time Series Analysis: A Tutorial and Survey

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T14:28:02.294447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:28:02.294447Z digest=sha256:ad0d2ee62cce4817958f27dd5d15e1c409bc81f89e02e6b3b5c2ddcb4b57018d

Observation 95e7462a-f173-4989-aad2-fa36d8561dca · inbound

Chronicle: A Multimodal Foundation Model for Joint Language and Time Series Understanding cites this paper.

Chronicle: A Multimodal Foundation Model for Joint Language and Time Series Understanding Foundation Models for Time Series Analysis: A Tutorial and Survey

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:44:03.218424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T07:39:53.800155Z digest=sha256:b664bbca88e3b6975a0983a91f67cabc8ba2299aa0a41f978129765a84d9526f

Observation 92124d99-15fb-43d4-bd4c-dbb2e33ee9ad · inbound

GITCO: Gated Inference-Time Context Optimization in TSFMs cites this paper.

GITCO: Gated Inference-Time Context Optimization in TSFMs Foundation Models for Time Series Analysis: A Tutorial and Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:16:47.603441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:16:59.419733Z digest=sha256:8697ab971f0e3ac16b01bbc3359a8a8fcffb0264c057ca05dfc53712717406ad