Paper Citation Record · LEDGER

TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.16412.

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

pith.paper-citation-record.v1
2402.16412 v2

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:25:30.269114Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:16:24.876137Z

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 24d0a924-7dc2-4a02-a0a5-e76a28aeba9b · inbound

Grounding Intelligence in Movement cites this paper.

Grounding Intelligence in Movement TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T20:25:30.269114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff59a809-0c70-41bb-9dd8-61a8a04d2138 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:25.861069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23a10962-9c52-4202-a534-4b28cf59f915 · inbound

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating cites this paper.

On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:28.501093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 770ebc17-b2fa-4a3b-863e-2d6b73e6f575 · inbound

Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs cites this paper.

Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:21:07.243004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e0c171ed-8601-4730-b2ea-4b3debfb5ceb · inbound

Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures cites this paper.

Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:16:24.877854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35bb6aea-2940-4a63-a57c-e97e01bbe30a · inbound

Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures cites this paper.

Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T15:18:09.444513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.