Paper Citation Record · LEDGER

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector

As of 4 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2605.28103.

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

pith.paper-citation-record.v1
2605.28103 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T14:42:45.627273Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57da7a6a-a15b-47dc-b8bb-87d4c3adf17f · outbound

This paper cites Anomaly transformer: Time series anomaly detection with association discrepancy,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Anomaly transformer: Time series anomaly detection with association discrepancy,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5139636-0d4f-44b1-9eb9-ffb04c26ff92 · outbound

This paper cites Memto: Memory-guided trans- former for multivariate time series anomaly detection,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Memto: Memory-guided trans- former for multivariate time series anomaly detection,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee43930b-6a7c-4bd8-a6ae-f7aeaeaff6a6 · outbound

This paper cites Dcdetector: Dual attention contrastive representation learning for time series anomaly detection,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Dcdetector: Dual attention contrastive representation learning for time series anomaly detection,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aac5196-89b0-496a-baa1-994dd4c5a196 · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b888a4d-f795-49de-9f0d-be78da8436c5 · outbound

This paper cites iTrans- former: Inverted transformers are effective for time series forecasting,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector iTrans- former: Inverted transformers are effective for time series forecasting,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6416bee3-c9a6-4f37-9d26-6461ca9ce86a · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector A time series is worth 64 words: Long-term forecasting with transformers,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8452410f-c76e-41c5-ae38-f34786d13789 · outbound

This paper cites Sub-adjacent transformer: Improving time series anomaly detection via sub-adjacent window reconstruction,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Sub-adjacent transformer: Improving time series anomaly detection via sub-adjacent window reconstruction,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e62603d5-d65f-46a8-8485-997a5ef7ba3c · outbound

This paper cites Multi-source distributed system data for AI-powered ana- lytics,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Multi-source distributed system data for AI-powered ana- lytics,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475299d0-75fc-44da-ac4e-a0ca937f844c · outbound

This paper cites DAGs with NO TEARS: Continuous optimization for structure learning,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector DAGs with NO TEARS: Continuous optimization for structure learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14470e3e-7a78-46d5-b535-dc08ff23b3a7 · outbound

This paper cites Anomalybert: Self-supervised transformer for time series anomaly detection using data degradation scheme,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Anomalybert: Self-supervised transformer for time series anomaly detection using data degradation scheme,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a15974-a981-4f3b-81b8-730e49cc0237 · outbound

This paper cites MOMENT: A family of open time-series foundation models,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector MOMENT: A family of open time-series foundation models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2733c254-b05c-4017-ad6f-9e7d0a425cbf · outbound

This paper cites One fits all: Power general time series analysis by pretrained LM,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector One fits all: Power general time series analysis by pretrained LM,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d383b85f-19da-42b2-a470-926fc035895a · outbound

This paper cites Towards a rigorous evaluation of time-series anomaly detection,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Towards a rigorous evaluation of time-series anomaly detection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b7da50-3c83-418d-ac33-3a212d13a593 · outbound

This paper cites V olume under the surface: A new accuracy evaluation mea- sure for time-series anomaly detection,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector V olume under the surface: A new accuracy evaluation mea- sure for time-series anomaly detection,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b3c299-a2f2-4f5a-8098-9413ff8541a8 · outbound

This paper cites TranAD: Deep transformer networks for anomaly detection in multivariate time series data,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector TranAD: Deep transformer networks for anomaly detection in multivariate time series data,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeda9905-e899-4055-b5af-1892aefc2883 · outbound

This paper cites Graph neural network-based anomaly detection in multivariate time series,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Graph neural network-based anomaly detection in multivariate time series,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a107925-46ec-4e85-86be-6f1e785c9e5c · outbound

This paper cites Multivariate time-series anomaly detection via graph attention network,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Multivariate time-series anomaly detection via graph attention network,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 861b924f-5c2f-47ca-9416-d24e2ee4d018 · outbound

This paper cites Robust anomaly detection for multivariate time series through stochastic recurrent neural network,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Robust anomaly detection for multivariate time series through stochastic recurrent neural network,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d3a94a-d680-4a29-b5db-53f311c97aff · outbound

This paper cites Unsupervised anomaly detection on multivariate time series,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Unsupervised anomaly detection on multivariate time series,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c490df6-67c9-4d93-b575-626c92e0b070 · outbound

This paper cites an unresolved cited work.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3552548e-16a2-4fa0-83b7-35d2a7bf6a5a · outbound

This paper cites LSTM-based encoder-decoder for multi-sensor anomaly detection,.

Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector LSTM-based encoder-decoder for multi-sensor anomaly detection,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T14:42:45.627273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.