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Paper Citation Record · LEDGER

UniTS: A Unified Multi-Task Time Series Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.00131.

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

pith.paper-citation-record.v1
2403.00131 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:35.730724Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:28:44.065676Z

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 99d99823-bd8c-4e1d-930f-d3ed5a49c709 · inbound

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

Universal Time-Series Representation Learning: A Survey UniTS: A Unified Multi-Task Time Series Model

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:28:53.419144Z

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.

source=pdf_text observed=2026-05-24T04:26:45.527625Z digest=sha256:4a8ea484150a3bf35e8ae9e289a0e2fe6d9c3f4b02a1e8ad977ecd4ca21e9585

Observation b012f70b-9b41-4af6-94fa-713575330435 · inbound

Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions cites this paper.

Time to Embed: Unlocking Foundation Models for Time Series with Channel Descriptions UniTS: A Unified Multi-Task Time Series Model

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:37:35.730724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:37:35.730724Z digest=sha256:69e9140e63e3c7f007a04642b3294c2ea2dded4a8b4c119af36d429b711275b5

Observation af840d55-53ef-46ed-9905-d278db790a93 · inbound

Channel Normalization for Time Series Channel Identification cites this paper.

Channel Normalization for Time Series Channel Identification UniTS: A Unified Multi-Task Time Series Model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:13.738860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:13.738860Z digest=sha256:e4ffb9067d162d213b374760b682c72166c9038521f3be94a4f45bba8c1db48a

Observation ce0a5da6-6004-48fd-aa9a-b589f1888a91 · inbound

LightGTS: A Lightweight General Time Series Forecasting Model cites this paper.

LightGTS: A Lightweight General Time Series Forecasting Model UniTS: A Unified Multi-Task Time Series Model

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T06:08:56.037203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:08:56.037203Z digest=sha256:c101d5f22dccd984435f92ecc21d59c6c5473700632c09e2111dd44c2c9c4fc0

Observation 1dcdde1e-2470-4ce2-8992-baa7159fa629 · inbound

Towards Interpretable Time Series Foundation Models cites this paper.

Towards Interpretable Time Series Foundation Models UniTS: A Unified Multi-Task Time Series Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:41.050039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:41.050039Z digest=sha256:70df10426a78db13a8549e902df5e1f4e897ad59fc7577dcc0925f7e6f9e8c5d

Observation 9d9608d8-aeb6-4dae-a444-75368d873b37 · inbound

Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? cites this paper.

Lost in the Non-convex Loss Landscape: How to Fine-tune the Large Time Series Model? UniTS: A Unified Multi-Task Time Series Model

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:17:25.855955Z

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.

source=pdf_text observed=2026-06-27T19:06:19.985372Z digest=sha256:89cf91b249218c53de80c0813ae86b0e3ebd886770182a6cf3163bd394a0bb9d

Observation e1acae6a-e2e3-4fa6-913e-0f596fe43f12 · inbound

Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics cites this paper.

Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics UniTS: A Unified Multi-Task Time Series Model

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.067165Z

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.

source=pdf_text observed=2026-07-03T17:23:35.304926Z digest=sha256:bee3245d34f8d4c7b9c4d99e80b03cfec1044ee2007d950058092e43905540d8

Observation 0a7a94ab-017f-487f-8511-493d4fd2a588 · inbound

Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.

Modular Foundation Models for Time-Series Perception in Digital Twins UniTS: A Unified Multi-Task Time Series Model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T01:22:51.284207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:22:51.284207Z digest=sha256:cef148174a1b5f9095c6da2526a8a996ac5236042ff9c1e5fa600e050d5e8be9

Observation 5c8a2717-fc73-44d6-96ec-47ffa778be2b · inbound

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting cites this paper.

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting UniTS: A Unified Multi-Task Time Series Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T05:16:38.559399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:16:38.559399Z digest=sha256:0b2e32ba76c5304e106528c136592e16216aa36fa28f982b334d122d585519ac

Observation 14a6c281-cb1a-40b5-93a1-cc340cdf90d9 · inbound

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework cites this paper.

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework UniTS: A Unified Multi-Task Time Series Model

Reference 83

Resolution
unresolved
no resolver link, observed 2026-07-31T19:49:55.836060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T19:49:55.836060Z digest=sha256:fcff9f7576c5d9ab24b5e6e3d4508ff8a920a91e5463f6cc19807022bf03c777