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Paper Citation Record · LEDGER

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series

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.

pith.paper-citation-record.v1
2506.05912 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:15.481507Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

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.

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.430449Z digest=sha256:a305b345b125951dd34e6b7854c7aab3191fb28a4c352ad00cbdd77338ac93a5

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.434970Z digest=sha256:47c88f8ec86e28690c0aecf31b25b8092e063ebf719bb3bf20f972483c6a1959

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.439181Z digest=sha256:bdd3674c8332ee752dd929ea1f00859114bae1360fa66972bf6e79ca7bd1fcab

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.443336Z digest=sha256:5872c742e617b09fdde281df230f94636471730157a54e4509660fc7271058d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.447380Z digest=sha256:fbad765d6ae300ff349541a46234415299535e5c7875bd1baf0408b5a64093ba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.451805Z digest=sha256:adfc1fd8293982ffb68643fc6aa6e2e7651cda406fc89419727e2bc8eae4f9c9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.456696Z digest=sha256:339ece693c9a10a3ea69758246332b5d91ff4a3fa479c307deb1f4f8637180f6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.461312Z digest=sha256:93c84dfcfedbfafd3354d1fa951c36349841abd2b9ca4fddad037f5f8a608624

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.465410Z digest=sha256:055b98adfe49a2ecdb75a0f40dce2dae3ebd673b8c47b0e44a84182776a9b082

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.469527Z digest=sha256:bf9c05cd6a6a89ac6d5416c0824b1ac17eb12dda6a2984b2d96df0e26ad41b5f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.473599Z digest=sha256:e1e60f0a902038cf3b514851f728512a84475cdea1d59fe62f17bc6ccdeb81af

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.477536Z digest=sha256:5a2ff5e3c5056bf0794a30ebefdd35fabc677369dff923e4135fee0865962eaf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:18:15.481507Z digest=sha256:c25280504417242aa62d3581c8942abd5b703e53dd4280fd9e704c2a2eaa5f61

Pith citing papers

No inbound Pith citation observations are available.