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Paper Citation Record · LEDGER

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 57 inbound Pith citation observations for arXiv:2410.10393.

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

pith.paper-citation-record.v1
2410.10393 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 57 of 57 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:02:37.925744Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

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External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7fbd066d-355c-47ad-95cb-6487950be639 · inbound

TabArena: A Living Benchmark for Machine Learning on Tabular Data cites this paper.

TabArena: A Living Benchmark for Machine Learning on Tabular Data GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 57

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arxiv_id, observed 2026-05-19T08:42:12.668681Z

Source-reported events for the cited work

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Observation 64330fc1-04dc-4c09-9cca-7ff9d3f39a9b · inbound

Foundation models for time series forecasting: Application in conformal prediction cites this paper.

Foundation models for time series forecasting: Application in conformal prediction GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting cites this paper.

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 28

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Observation 678d06ff-8012-40f6-a28c-8ab709c942cf · inbound

An AI system to help scientists write expert-level empirical software cites this paper.

An AI system to help scientists write expert-level empirical software GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 24

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arxiv_id, observed 2026-05-21T22:44:24.318851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 171c74b9-e270-4362-9f91-a45723aef629 · inbound

An AI system to help scientists write expert-level empirical software cites this paper.

An AI system to help scientists write expert-level empirical software GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 24

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arxiv_id, observed 2026-05-22T13:24:53.420680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f0e86a73-e1e1-42f7-bdda-3ca031269352 · inbound

Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting cites this paper.

Super-Linear: A Lightweight Pretrained Mixture of Linear Experts for Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 2

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arxiv_id, observed 2026-05-25T08:25:34.125685Z

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Observation 5e8e2ba1-11b2-4c4d-88f0-c96ec063a59c · 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 GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-05-21T20:24:21.592628Z

Source-reported events for the cited work

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Observation eac3e67a-cb1a-4c7b-98b3-77e2e05f375e · 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 GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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Observation 9fe54e1f-5451-4f9d-a3fa-c85926e13a9f · inbound

Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? cites this paper.

Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated? GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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Observation 77f92d43-4668-4419-b117-2611ad63f982 · inbound

TS-Arena -- A Live Forecast Pre-Registration Platform cites this paper.

TS-Arena -- A Live Forecast Pre-Registration Platform GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-05-16T20:01:13.243927Z

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Observation ab1714c9-a620-4af8-ad67-a4a3fc5f8bbb · 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 GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 62

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Source-reported events for the cited work

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Observation 7ff443bc-f73d-4c24-8d29-eb0dac804370 · inbound

Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables cites this paper.

Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8d487788-c35b-48eb-b97d-316c687a1e73 · inbound

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks cites this paper.

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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Observation 642c7182-d956-4ac1-8319-d69f8206b1db · inbound

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks cites this paper.

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-05-15T06:25:07.683199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6cc07d3b-d5f7-46c6-8287-2065d088dc42 · inbound

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting cites this paper.

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-05-10T22:55:52.234643Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 78b7b028-b72e-49ee-ad3f-d62d7ac4a962 · inbound

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting cites this paper.

MICA: Multivariate Infini Compressive Attention for Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-05-12T02:11:15.596950Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9ecd9857-f4e7-4ff2-8fe9-4b47f8bb65fe · inbound

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks cites this paper.

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-05-11T07:35:57.700637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 32526448-2d79-426e-9959-022f5293ae2f · inbound

WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting cites this paper.

WaveMoE: A Wavelet-Enhanced Mixture-of-Experts Foundation Model for Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d6007956-e130-4946-a007-d6138ae7f14e · inbound

TempusBench: An Evaluation Framework for Time-Series Forecasting cites this paper.

TempusBench: An Evaluation Framework for Time-Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 23

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arxiv_id, observed 2026-05-11T10:41:05.520704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5ca8575f-0b45-4a8b-8151-b6dc6061356d · inbound

IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem cites this paper.

IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 5

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arxiv_id, observed 2026-05-10T06:56:47.972966Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting cites this paper.

FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 15

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Observation e7581e86-32e4-4f73-ae47-fcd89d97f8f2 · inbound

FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting cites this paper.

FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 15

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

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning cites this paper.

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-05-10T07:16:54.889339Z

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TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning cites this paper.

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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Don't Learn the Shape: Forecasting Periodic Time Series by Rank-1 Decomposition cites this paper.

Don't Learn the Shape: Forecasting Periodic Time Series by Rank-1 Decomposition GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 52

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Observation f9a7da89-a288-42cb-8110-ec652d9e75e8 · inbound

RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction cites this paper.

RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 48

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arxiv_id, observed 2026-05-12T07:56:28.707946Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 66240a13-5f81-42e3-acba-b20127b461a2 · inbound

Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS cites this paper.

Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 9

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arxiv_id, observed 2026-05-13T06:37:27.104052Z

Source-reported events for the cited work

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Observation 92c85aed-1f90-449f-b834-5e254dedbcd4 · inbound

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks cites this paper.

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarks GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-06-30T21:55:05.351500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 92bed01b-319e-4a9d-bf1d-b6b7bd790380 · inbound

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density cites this paper.

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-05-20T14:43:22.400181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6c750d3e-98fe-40f0-b99c-443de60eed6e · inbound

Assessing the Operational Viability of Foundation Models for Time Series Forecasting cites this paper.

Assessing the Operational Viability of Foundation Models for Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-06-30T14:54:45.214288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fd682e7a-b8ac-47b1-88eb-f29e2c12361e · inbound

AION: Next-Generation Tasks and Practical Harness for Time Series cites this paper.

AION: Next-Generation Tasks and Practical Harness for Time Series GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-06-30T11:54:38.594127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6b7137e7-c1fd-41b3-8daa-d159646a7dd2 · inbound

AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting cites this paper.

AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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arxiv_id, observed 2026-06-30T12:34:38.539844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 23d28833-9c44-4016-aa69-73ae4c4e3c86 · inbound

TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models cites this paper.

TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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verified exact
arxiv_id, observed 2026-06-30T12:04:38.786195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T12:00:05.807004Z digest=sha256:c43cec1b55760c3321b2d6df0037ab4504abb5479cd4b741f5e0954818fd0408

Observation 307c8512-570d-441b-a1ef-2ef477f417a4 · 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 GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 3

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verified exact
arxiv_id, observed 2026-06-29T18:13:48.767090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T18:08:29.713340Z digest=sha256:63cd37994c6f47f9f4d99b919673c33243ca1305638e5de96ae47e7b5875dc1a

Observation fdfc1191-00c6-43be-9237-146dcd9db661 · inbound

Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting cites this paper.

Feature to Dynamics: Feature-space to Autoregression strategy for Zero-shot Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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verified exact
arxiv_id, observed 2026-06-28T17:22:24.557004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T17:20:32.648181Z digest=sha256:a1a69ccb146f73109214537399016e811b22ebde5b97cb580b74a967e1ad7904

Observation 6033273f-9248-4c9b-8b21-79896d582080 · inbound

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

Why Do Time Series Models Need Long Context Windows? GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 48

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verified exact
arxiv_id, observed 2026-07-01T21:56:16.531262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T15:52:40.568646Z digest=sha256:5ac9abda84d79b95714a59467104e48931c3b2d9fecc86386e5f736f631f0855

Observation a10cb885-ec6c-4cce-88f8-46f0584b4965 · inbound

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

GITCO: Gated Inference-Time Context Optimization in TSFMs GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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verified exact
arxiv_id, observed 2026-07-02T08:16:47.620459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T06:16:59.419733Z digest=sha256:185724e77e67382d88f683719618923fd1a05691e8fed625d7241e26046f9119

Observation cd17ab56-8bbf-41b1-b24f-3a6373ed8cd4 · inbound

Benchmarking Deep Time Series Models for Equity Portfolios cites this paper.

Benchmarking Deep Time Series Models for Equity Portfolios GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 39

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verified exact
arxiv_id, observed 2026-06-27T15:41:00.626473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T15:38:51.440878Z digest=sha256:c7a82402884cee2c35f48615f71884cbffc925565e4f72c766807d3e0b94bb69

Observation c2ee56a5-8e60-407f-a1e8-8d63330722b9 · inbound

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models cites this paper.

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:02:27.056496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T17:57:07.869965Z digest=sha256:e0385e34a49264e5abea2167c6f8410e4c0274526d5d44c6ba9dc5bd218870e7

Observation 7ae3c8c8-e0d0-4a31-962f-15eec594173d · inbound

Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining cites this paper.

Mix, Don't Pick: Why Synthetic Corpus Composition Matters for Time Series Foundation Model Pretraining GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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verified exact
arxiv_id, observed 2026-07-02T20:17:22.577047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T20:32:02.243534Z digest=sha256:fd61855556794dc9e5e70dd93d678016daba47e25d8343f60da6f9c21e6ed4d9

Observation c7848685-0c1e-4332-b4fb-f5c08402dc2d · inbound

Does Normalization Choice Matter for Causal Large Time-Series Models? cites this paper.

Does Normalization Choice Matter for Causal Large Time-Series Models? GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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verified exact
arxiv_id, observed 2026-07-03T00:07:28.590141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T17:26:01.947965Z digest=sha256:392dafdd22d918ac21ef17875b51976b0678d1396276e978c081f916f24b7b60

Observation d2082b4b-3374-47d3-a8f1-7bf90b06a7d0 · inbound

TimeRouter: Efficient and Adaptive Routing of Time-Series Foundation Models cites this paper.

TimeRouter: Efficient and Adaptive Routing of Time-Series Foundation Models GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:47:59.791194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:19:31.255751Z digest=sha256:5209709af9efe8562b6fd62fa372f77fa9f2526eeb85b8448c491f05a88fead1

Observation 8edae049-e6ce-4f61-a95a-31af4e728829 · inbound

CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation cites this paper.

CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 2

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verified exact
arxiv_id, observed 2026-07-03T14:28:31.533575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:03:29.070834Z digest=sha256:3ac0d84650ab6c2680be8aa37495ffb480f271e2aa32752a1229943631821f5e

Observation c8b80771-0aed-42dd-8fa6-a28817b42c44 · inbound

Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting cites this paper.

Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 44

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verified exact
arxiv_id, observed 2026-07-03T13:58:21.656351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T07:24:21.069017Z digest=sha256:a4f4e826b3fbf22c600a176066c8a3966c17e4c88803c3700a9a0e6e8ac21a5a

Observation 2fea0758-b88b-4741-90f0-d5955a9bc655 · inbound

From Forecasting Leaderboards to Deployment Decisions: A Fail-Closed Certification Protocol cites this paper.

From Forecasting Leaderboards to Deployment Decisions: A Fail-Closed Certification Protocol GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 3

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verified exact
arxiv_id, observed 2026-07-04T16:39:58.487597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T00:18:20.146234Z digest=sha256:f750f9193323814e03d477b220c8dc03a67a4d44704bfc17866a05ee279dde15

Observation 9d4ad502-6a52-4070-aca0-8253eef71fae · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 81

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verified exact
arxiv_id, observed 2026-06-30T07:04:21.484738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T06:59:14.626274Z digest=sha256:5d442824cc608fc0c20b242cf61c4c2f87acad6357529ed368092c3ab193e7e2

Observation 11e776f7-c75b-49c8-a8f5-8d1d06e07ad3 · inbound

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations cites this paper.

Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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verified exact
arxiv_id, observed 2026-07-02T15:37:05.823544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T15:35:25.976071Z digest=sha256:4a9e56fe682287839c54d17a29ef57182b0c43a26a9ba521ba17a6487710178f

Observation f9f2516c-2555-4ad0-9c35-db842189a817 · inbound

Forecasting Realized Volatility with Time Series Foundation Models: A Comparison with Econometric Benchmarks cites this paper.

Forecasting Realized Volatility with Time Series Foundation Models: A Comparison with Econometric Benchmarks GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 84

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metadata mismatch
local_arxiv, observed 2026-07-07T19:34:06.477368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-07T19:31:46.593904Z digest=sha256:32ba10798e40ca91277b5540971a6b5ac5a01644b42a9216dd7c9375b18996e7

Observation 60f0f5ba-a3fd-49eb-a6a6-2776c76e1001 · 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 GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 35

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verified exact
local_arxiv, observed 2026-07-08T04:14:29.614299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-08T04:07:59.537908Z digest=sha256:87f7878eb6f18145986c46b2c9cb50c2e3b0b713e3194b48488462777e19aff3

Observation ab6e5469-dae4-43ea-9692-400755a36c6d · inbound

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series cites this paper.

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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unresolved
no resolver link, observed 2026-07-14T14:52:42.813309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:52:42.813309Z digest=sha256:62778cd1112758189038280567fc38820f77e78949136819dc3dab16e60887fc

Observation 2d82fe09-b15e-41b9-ad73-fb2aa9534141 · inbound

From Vector Autoregressions to AI-based Time Series Forecasting: A Review cites this paper.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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unresolved
no resolver link, observed 2026-08-02T02:39:06.126895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:39:06.126895Z digest=sha256:8e6a14870a362af97e35fe753d0734137b60b8bd35a0cb7d7056eb14b7d52d2c

Observation c4e388c0-21d9-4266-ae6a-e3317d64d973 · inbound

A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods cites this paper.

A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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unresolved
no resolver link, observed 2026-08-01T22:35:45.197064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:35:45.197064Z digest=sha256:6ea688f57c1fb78c6f81dff8ce447542775bb0cf0d39412fbba3a94aad1276ab

Observation 05cdb74c-88e9-449f-9e20-3458799af5ae · inbound

OpenMHC: Accelerating the Science of Wearable Foundation Models cites this paper.

OpenMHC: Accelerating the Science of Wearable Foundation Models GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 97

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unresolved
no resolver link, observed 2026-08-02T10:05:16.468920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:05:16.468920Z digest=sha256:3c3d1d72aca754f18a8eb835f5e7e3f63fd641a6a7664808ef29cd07fb39f759

Observation 9d4b3228-2a0c-4df9-86e4-9d23b30ecd99 · inbound

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule cites this paper.

Trend strength predicts when generative foundation models win: a power-controlled benchmark, a mechanism, and an actionable selection rule GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 8

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unresolved
no resolver link, observed 2026-08-02T09:17:11.942873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:17:11.942873Z digest=sha256:b65683c418e85e4d7aa6e643d5cfe2f9bcf9af573eb8c82e985c17fec0c3c2a6

Observation 58121357-6900-4cd2-97f5-96ccd1a33f4a · inbound

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

Hopformer: Homogeneity-Pursuit Transformer for Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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unresolved
no resolver link, observed 2026-08-01T05:16:38.007947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:16:38.007947Z digest=sha256:206edc618420c6868e6ce1d462475ab4b4c2df784716e15b810b516174924c15

Observation 03c94ae4-102b-4521-9820-45b707c6ef04 · inbound

ReasonCast: Towards Explainable Time Series Forecasting with Reasoning cites this paper.

ReasonCast: Towards Explainable Time Series Forecasting with Reasoning GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 2

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unresolved
no resolver link, observed 2026-08-04T19:10:06.093091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:10:06.093091Z digest=sha256:a0968a59288a44147d947ed97e520f1f29ac02b7ddb8f614e1f236baccfb4c58