Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:15.481507Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2506.05912.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:15.481507Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
13 of 13 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 64502f14-ba8e-4a72-aed1-0a502233beab · outbound
Reference 1
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.
Observation 8cb036fe-581d-4c64-85be-03adcfbe27bc · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Appliance detection using very low-frequency smart meter time series,
Reference 2
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.
Observation 680f2afe-2c56-4864-a100-8d9eae0b0fe3 · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (nilm) in residential context,
Reference 3
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.
Observation 022b3d6e-1760-4547-b44d-8d00255bd6fa · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Electricity demand ac- tivation extraction: From known to unknown signatures, using similarity search,
Reference 4
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.
Observation 381e8381-11c0-4e98-87bd-24174211e0b3 · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Adf & transapp: A transformer-based framework for appliance detection using smart meter consumption series,
Reference 5
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.
Observation dcaa6e15-5790-4840-bab8-f51004315dfd · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Bake off redux: a review and experimental evaluation of recent time series classification algo- rithms,
Reference 6
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.
Observation b5a162aa-9d4c-42ce-b9b4-165c30b94935 · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Time series classification from scratch with deep neural networks: A strong baseline,
Reference 7
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.
Observation 8591d0de-8604-4e40-85be-8152bc8c37c3 · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Dcam: Dimension- wise class activation map for explaining multivariate data series classi- fication,
Reference 8
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.
Observation f22916d0-230c-4985-ad57-d4288646a042 · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Learning deep features for discriminative localization,
Reference 9
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.
Observation 0a29ab8d-9537-4ab1-ade6-73ea4d809ff0 · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Grad-cam: Visual explanations from deep networks via gradient-based localization,
Reference 10
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.
Observation 4e2d60ab-28da-4077-9998-6897c48cb23f · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series The uk-dale dataset, domestic appliance- level electricity demand and whole-house demand from five uk homes,
Reference 11
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.
Observation a0a545b6-293c-4de5-bea3-f95e7c2e155f · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series REFIT Smart Home dataset,
Reference 12
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.
Observation 57735e41-8688-455a-9770-0185e18e5bda · outbound
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series The ideal household energy dataset, electricity, gas, contextual sensor data and survey data for 255 uk homes,
Reference 13
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.
No inbound Pith citation observations are available.