Paper Citation Record · LEDGER

Monash Time Series Forecasting Archive

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2105.06643.

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

pith.paper-citation-record.v1
2105.06643 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:42.092231Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:14:29.621429Z

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 83f93c78-f4a8-4498-9560-fe111d4a31c4 · inbound

A decoder-only foundation model for time-series forecasting cites this paper.

A decoder-only foundation model for time-series forecasting Monash Time Series Forecasting Archive

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:07:21.296466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fb4ab67d-cd11-487b-9ad1-8d83cc01b74b · inbound

Dataset-Driven Channel Masks in Transformers for Multivariate Time Series cites this paper.

Dataset-Driven Channel Masks in Transformers for Multivariate Time Series Monash Time Series Forecasting Archive

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:43:19.309977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bf2f869b-9813-4119-887e-bdda84de4b21 · inbound

A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors cites this paper.

A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors Monash Time Series Forecasting Archive

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-12T18:41:37.016115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a6d49d-dbeb-47a8-ad68-e236b2bd4656 · inbound

Financial Fine-tuning a Large Time Series Model cites this paper.

Financial Fine-tuning a Large Time Series Model Monash Time Series Forecasting Archive

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T16:43:21.410669Z

Source-reported events for the cited work

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Observation f1ea63c1-981e-4449-8c88-69e1175cb44f · inbound

Enhancing Masked Time-Series Modeling via Dropping Patches cites this paper.

Enhancing Masked Time-Series Modeling via Dropping Patches Monash Time Series Forecasting Archive

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T11:44:04.788094Z

Source-reported events for the cited work

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Observation fb6b0e68-aae9-4d80-9a68-a987ea42e82f · inbound

TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting cites this paper.

TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting Monash Time Series Forecasting Archive

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:23.642691Z

Source-reported events for the cited work

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Observation f5bab3df-a967-46e5-bb0d-050a5cf417f6 · inbound

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting cites this paper.

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting Monash Time Series Forecasting Archive

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T16:35:14.390716Z

Source-reported events for the cited work

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Observation ee0cb296-26a2-43eb-ac50-d2ec3f7753b3 · inbound

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback cites this paper.

TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Monash Time Series Forecasting Archive

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:05.216051Z

Source-reported events for the cited work

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Observation 5096176a-01ba-48ae-87f2-bf46c5710ed7 · inbound

Transformers and Their Roles as Time Series Foundation Models cites this paper.

Transformers and Their Roles as Time Series Foundation Models Monash Time Series Forecasting Archive

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T05:01:32.354984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f86bb7d-4ddb-454a-a029-38349050f0c6 · inbound

Foundation Time-Series AI Model for Realized Volatility Forecasting cites this paper.

Foundation Time-Series AI Model for Realized Volatility Forecasting Monash Time Series Forecasting Archive

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:42.092231Z

Source-reported events for the cited work

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Observation 3a5f7adc-4819-4a3c-ba68-a09ec5b9c1f9 · inbound

IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting cites this paper.

IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting Monash Time Series Forecasting Archive

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:57:50.306937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c79ca91-2719-4aaf-b1e5-82cffedfaf42 · inbound

Alternators With Noise Models cites this paper.

Alternators With Noise Models Monash Time Series Forecasting Archive

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:39:01.651475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc004af-feb1-4749-a442-ba529c2d961d · inbound

MoTime: A Dataset Suite for Multimodal Time Series Forecasting cites this paper.

MoTime: A Dataset Suite for Multimodal Time Series Forecasting Monash Time Series Forecasting Archive

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:27:19.898165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0a11785-835e-4b8e-86c5-1a9c556a581f · inbound

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models cites this paper.

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models Monash Time Series Forecasting Archive

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:24.820327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69cc9911-1cde-4c96-874f-59a6546b6c19 · inbound

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting cites this paper.

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Monash Time Series Forecasting Archive

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:34.612790Z

Source-reported events for the cited work

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Observation bca924a3-2f2a-450c-b904-daf557a82817 · inbound

Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models cites this paper.

Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models Monash Time Series Forecasting Archive

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T12:07:02.677364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415598c2-a630-4763-a838-f4a9641eaf36 · inbound

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

LightGTS: A Lightweight General Time Series Forecasting Model Monash Time Series Forecasting Archive

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T06:08:56.121503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd02486-bdeb-4331-af24-3427fc710ea0 · inbound

FinCast: A Foundation Model for Financial Time-Series Forecasting cites this paper.

FinCast: A Foundation Model for Financial Time-Series Forecasting Monash Time Series Forecasting Archive

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:45:36.234748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 749defa8-d920-4b06-b943-53bbc87f95dc · 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 Monash Time Series Forecasting Archive

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T15:10:28.336847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcf2ab35-3135-450a-b1c6-908616ba5093 · inbound

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables cites this paper.

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables Monash Time Series Forecasting Archive

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:31:33.423075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d486b75-5901-41be-bfd9-6456f3dc35a8 · inbound

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics cites this paper.

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics Monash Time Series Forecasting Archive

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:26:27.645748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d64f4dbf-45ac-46ae-bb9a-d4feb46ac866 · inbound

Nearest-Neighbor Radii under Dependent Sampling cites this paper.

Nearest-Neighbor Radii under Dependent Sampling Monash Time Series Forecasting Archive

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:43:27.711807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d52dfc7-a640-4561-8672-12956e5ec4e4 · inbound

Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices cites this paper.

Going Beyond the Edge: Distributed Inference of Transformer Models on Ultra-Low-Power Wireless Devices Monash Time Series Forecasting Archive

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:18:59.764635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 315a4308-06b3-4789-bb90-8ab8ec9656b5 · inbound

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

Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density Monash Time Series Forecasting Archive

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:43:22.355895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d223f9c-a065-48dc-b9e2-b86fafb5bcf5 · inbound

Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models cites this paper.

Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models Monash Time Series Forecasting Archive

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:13:06.525341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d0920f5-3632-47d7-a4d8-98a4f6d21cff · inbound

TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering cites this paper.

TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering Monash Time Series Forecasting Archive

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:14:40.704363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82928799-0201-4292-9917-1317a1488869 · inbound

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

AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting Monash Time Series Forecasting Archive

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:34:38.519290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 914d2b8b-0a16-45f9-bd97-a64cbda0146b · inbound

KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning cites this paper.

KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning Monash Time Series Forecasting Archive

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:23:12.663091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a9a4493-1bb4-493d-962e-b7a83e127e02 · 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 Monash Time Series Forecasting Archive

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:22:24.567520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9cd054f3-bc23-4e22-bb67-94da75602730 · inbound

FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance cites this paper.

FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance Monash Time Series Forecasting Archive

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.331288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 245cf93e-abdc-4c82-9f56-1e27b9a21c09 · inbound

Harnessing Generalist Agents for Contextualized Time Series cites this paper.

Harnessing Generalist Agents for Contextualized Time Series Monash Time Series Forecasting Archive

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:46:49.110736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5dc8741b-6193-4faf-993d-8a54a10f12b0 · inbound

Navigating the Safety-Fidelity Trade-off: Massive-Variate Time Series Forecasting for Power Systems via Probabilistic Scenarios cites this paper.

Navigating the Safety-Fidelity Trade-off: Massive-Variate Time Series Forecasting for Power Systems via Probabilistic Scenarios Monash Time Series Forecasting Archive

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:58:22.320695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41c77f10-0537-4d99-b5f4-5a4da604fe47 · inbound

Model selection with proper scoring rules on data sets of time series: prefer the mean scaled score cites this paper.

Model selection with proper scoring rules on data sets of time series: prefer the mean scaled score Monash Time Series Forecasting Archive

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:10:05.009228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e0cee63-31cd-4b3f-814b-c1cefe5c2c51 · 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 Monash Time Series Forecasting Archive

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:39:58.490324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 853eee4c-1794-4c65-ac1c-db362f4e3f51 · inbound

End-to-end probabilistic hierarchical forecasting of large hierarchies via probabilistic top-down cites this paper.

End-to-end probabilistic hierarchical forecasting of large hierarchies via probabilistic top-down Monash Time Series Forecasting Archive

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:39:57.082283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 225077f2-e2fc-4568-a518-e0abeb4f6b6d · inbound

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis Monash Time Series Forecasting Archive

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:38:43.366033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6eb679db-e9d7-43dd-a161-a377595271cd · 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 Monash Time Series Forecasting Archive

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:14:29.622628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 94fdba08-2486-4a78-8577-6b230eb9a137 · inbound

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

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework Monash Time Series Forecasting Archive

Reference 187

Resolution: unresolved; no resolver link, observed 2026-07-31T19:49:56.293022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e16284-cda3-4fb0-b1e2-5ce616dd8241 · inbound

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers cites this paper.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Monash Time Series Forecasting Archive

Reference 177

Resolution: unresolved; no resolver link, observed 2026-08-15T14:34:14.480970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2604d930-4f67-4979-a34b-af4c8457d80e · inbound

PhysAttNet: Enhancing Predictive Performance in Industrial and Astrophysical Time Series via Physics-Informed Attention cites this paper.

PhysAttNet: Enhancing Predictive Performance in Industrial and Astrophysical Time Series via Physics-Informed Attention Monash Time Series Forecasting Archive

Reference 120

Resolution: unresolved; no resolver link, observed 2026-08-11T00:31:24.775571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8798a95b-5241-4789-9509-06eb97dc16de · inbound

Evaluating Generative Time-Series Models on Data with Point Masses cites this paper.

Evaluating Generative Time-Series Models on Data with Point Masses Monash Time Series Forecasting Archive

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T12:39:57.059435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.