Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:15.481507Z
Paper Citation Record · LEDGER
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series
As of 15 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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
Reference resolution
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 64502f14-ba8e-4a72-aed1-0a502233beab · outbound
This paper cites Petralia, P.
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.693536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8cb036fe-581d-4c64-85be-03adcfbe27bc · outbound
This paper cites Appliance detection using very low-frequency smart meter time series,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.677800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 680f2afe-2c56-4864-a100-8d9eae0b0fe3 · outbound
This paper cites A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (nilm) in residential context,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.662006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 022b3d6e-1760-4547-b44d-8d00255bd6fa · outbound
This paper cites Electricity demand ac- tivation extraction: From known to unknown signatures, using similarity search,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.647033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 381e8381-11c0-4e98-87bd-24174211e0b3 · outbound
This paper cites Adf & transapp: A transformer-based framework for appliance detection using smart meter consumption series,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.632767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dcaa6e15-5790-4840-bab8-f51004315dfd · outbound
This paper cites Bake off redux: a review and experimental evaluation of recent time series classification algo- rithms,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.618530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b5a162aa-9d4c-42ce-b9b4-165c30b94935 · outbound
This paper cites Time series classification from scratch with deep neural networks: A strong baseline,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.604715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8591d0de-8604-4e40-85be-8152bc8c37c3 · outbound
This paper cites Dcam: Dimension- wise class activation map for explaining multivariate data series classi- fication,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.590264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f22916d0-230c-4985-ad57-d4288646a042 · outbound
This paper cites Learning deep features for discriminative localization,.
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series Learning deep features for discriminative localization,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.574479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0a29ab8d-9537-4ab1-ade6-73ea4d809ff0 · outbound
This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.560332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4e2d60ab-28da-4077-9998-6897c48cb23f · outbound
This paper cites The uk-dale dataset, domestic appliance- level electricity demand and whole-house demand from five uk homes,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.546218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a0a545b6-293c-4de5-bea3-f95e7c2e155f · outbound
This paper cites REFIT Smart Home dataset,.
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series REFIT Smart Home dataset,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.532172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 57735e41-8688-455a-9770-0185e18e5bda · outbound
This paper cites The ideal household energy dataset, electricity, gas, contextual sensor data and survey data for 255 uk homes,.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:18:15.517831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.