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Paper Citation Record · LEDGER

Foundation Models for Time Series: A Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2504.04011.

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

pith.paper-citation-record.v1
2504.04011 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:38.065132Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5e2f7654-e576-410e-aaee-20dfab4abc7c · inbound

Comparative Analysis of Time Series Foundation Models for Demographic Forecasting: Enhancing Predictive Accuracy in US Population Dynamics cites this paper.

Comparative Analysis of Time Series Foundation Models for Demographic Forecasting: Enhancing Predictive Accuracy in US Population Dynamics Foundation Models for Time Series: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T22:31:58.344883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:31:58.344883Z digest=sha256:3f2b6e1ec253c9f64fb3d47c976f35d82713543714896787155d31153e687907

Observation 7d66aec5-5882-46c3-8d17-03a397850903 · 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 Foundation Models for Time Series: A Survey

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:24:21.605989Z

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.

source=pdf_text observed=2026-05-21T20:23:40.207908Z digest=sha256:f81536ca9552ead6ca37265ecfc58f342864e9c67de2bbdd9ae27eef6f40283c

Observation b523deda-7f55-45eb-bfc2-84ef6d453433 · 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 Foundation Models for Time Series: A Survey

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T11:15:44.054012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:15:44.054012Z digest=sha256:1250cf0fa002f16c4c3a18806c8fe89c237be4e30c553eba5e1f23c256c7ed9d

Observation 45c66d96-c336-4cfd-9657-f83704000290 · inbound

Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning cites this paper.

Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning Foundation Models for Time Series: A Survey

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:37:10.275348Z

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.

source=pdf_text observed=2026-05-16T02:35:57.370778Z digest=sha256:9185a472ce743814c8833681d11e03e17329b9b392f80ae83129ed6490d13987

Observation ea6fe192-f557-42bc-93bc-52ad431c96a2 · inbound

Discrete Prototypical Memories for Federated Time Series Foundation Models cites this paper.

Discrete Prototypical Memories for Federated Time Series Foundation Models Foundation Models for Time Series: A Survey

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:35:51.898072Z

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.

source=pdf_text observed=2026-05-10T18:59:18.819953Z digest=sha256:c9448d6ee71c676dd6e378cd83a98568e243c84be45eb825187b158e7a8bc3f1

Observation ce8bdd06-1141-4db2-b1ac-fb7870e3bab9 · inbound

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations cites this paper.

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations Foundation Models for Time Series: A Survey

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:31:26.961385Z

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.

source=pdf_text observed=2026-05-07T10:34:08.828748Z digest=sha256:eb7096556d1fcebf90d9b3c4840c88b9e563494019cb669ba70d3631583588ad

Observation b83c492b-6cbc-4e6d-b838-44135e2a761a · inbound

Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration Foundation Models for Time Series: A Survey

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-09T04:30:10.323947Z

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.

source=pdf_text observed=2026-05-07T08:50:05.980191Z digest=sha256:53a0838a9d4b9e93dd1e8448a8a946756ec70cd0c9650ef2bbb6fa88d3c611e1

Observation 181a84e3-8bb4-4475-b22b-dee4b5316611 · inbound

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models cites this paper.

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models Foundation Models for Time Series: A Survey

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-09T04:40:13.019057Z

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.

source=pdf_text observed=2026-05-07T07:48:59.657231Z digest=sha256:2e479bbe3bed4018dd40473caf02381fcb50bbbe0860a2c5975c0de6790909a2

Observation 4403b234-6a85-4c16-bcef-623a514d4dbb · inbound

Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G cites this paper.

Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G Foundation Models for Time Series: A Survey

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:19:33.485561Z

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.

source=pdf_text observed=2026-05-21T04:15:41.518743Z digest=sha256:0c2d5f21f7d4a0b2fc2b76b7fc2977c5006d8afe6c5d6293ae968f4572f9b3bf

Observation 2beb0b88-6513-4062-85ca-7a83916c461c · inbound

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting cites this paper.

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting Foundation Models for Time Series: A Survey

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:34:39.203182Z

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.

source=pdf_text observed=2026-06-30T12:14:48.799300Z digest=sha256:fc0867a1e5d41c2f6174eea3a21db1fcf56257dfa5291c5234d8068c7eb88226

Observation 693583f3-28a5-4e99-957e-9d9f8907e78c · inbound

Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling cites this paper.

Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling Foundation Models for Time Series: A Survey

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:48.751661Z

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.

source=arxiv_source observed=2026-06-29T18:08:29.713340Z digest=sha256:b18fafd30742f2dd51dfc6c82ad305e8abbcde40dc494803f81981d27bcc7e3e

Observation be3d658b-7d44-4b7c-91b1-359b46580bf3 · inbound

Why Do Time Series Models Need Long Context Windows? cites this paper.

Why Do Time Series Models Need Long Context Windows? Foundation Models for Time Series: A Survey

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:56:16.539424Z

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.

source=pdf_text observed=2026-06-28T15:52:40.568646Z digest=sha256:6b8e88d8df86ccc3d4c74fa838df0be7a1e596c1817f24efd48fe3bddc74518f

Observation 5c6a8cc0-1654-4c4e-9dcb-939c21b890ef · inbound

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models cites this paper.

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models Foundation Models for Time Series: A Survey

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:46:56.980113Z

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.

source=pdf_text observed=2026-06-28T01:50:24.426751Z digest=sha256:38300505b3d750a98a3860a794bf828febdeabc06709c7234ee5af1d0364cfe6

Observation 563b4e9a-b993-4df9-bd25-5cacaf49a7a2 · inbound

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

Modular Foundation Models for Time-Series Perception in Digital Twins Foundation Models for Time Series: A Survey

Reference 118

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=sha256:0b03ce06f69d826c6adce29f52a9b4673f53047658ca3efd6277ffbbd8385736

Observation 975a6f8a-037f-439f-bbbb-4078618cc492 · inbound

Into the ORBIT for Time Series: Training Regimes for Foundation Models cites this paper.

Into the ORBIT for Time Series: Training Regimes for Foundation Models Foundation Models for Time Series: A Survey

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-14T15:09:38.065132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T15:09:38.065132Z digest=sha256:cef42dd187f261b8098d7bcf3ad2092ad689ad6e3fd4e6a96b005a196d3f0b6b