Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 62 inbound Pith citation observations for arXiv:2410.10393.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:06:02.948463Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
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External citation measurements
2
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
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Pith citing papers
Observation f4b05afa-7913-4e54-849b-ab595100d1b7 · inbound
Investigating Compositional Reasoning in Time Series Foundation Models cites this paper.
Investigating Compositional Reasoning in Time Series Foundation Models GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
Reference 2024
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ModRWKV: Transformer Multimodality in Linear Time cites this paper.
ModRWKV: Transformer Multimodality in Linear Time GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
Reference 2
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Observation a13c9da7-cd3c-44c3-80a9-85246f14f489 · inbound
MoTime: A Dataset Suite for Multimodal Time Series Forecasting cites this paper.
MoTime: A Dataset Suite for Multimodal Time Series Forecasting GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
Reference 50
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Observation c63d4605-b967-47f0-aea7-31abc1260bbe · inbound
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models cites this paper.
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
Reference 2
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Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model cites this paper.
Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
Reference 1
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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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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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Observation 90627f36-b496-425f-a7c0-c9bc4e8a730c · inbound
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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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
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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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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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Source-reported events for the cited work
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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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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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Source-reported events for the cited work
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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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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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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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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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Source-reported events for the cited work
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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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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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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Source-reported events for the cited work
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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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Source-reported events for the cited work
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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
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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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Source-reported events for the cited work
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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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Source-reported events for the cited work
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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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Source-reported events for the cited work
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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 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 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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Source-reported events for the cited work
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RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
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Source-reported events for the cited work
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Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
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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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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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fd682e7a-b8ac-47b1-88eb-f29e2c12361e · inbound
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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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 307c8512-570d-441b-a1ef-2ef477f417a4 · inbound
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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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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Source-reported events for the cited work
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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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- 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 2026-08-14T06:32:32.682623+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T14:52:42.813309Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:39:06.126895Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:35:45.197064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T10:05:16.468920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:17:11.942873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:16:38.007947Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:10:06.093091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.