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Paper Citation Record · LEDGER

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.00754.

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

pith.paper-citation-record.v1
2506.00754 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:15.413922Z

measured 21 of 21 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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de1396b9-2b87-4863-b500-3b03ca0fdf2f · outbound

This paper cites Williams.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Williams

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:17.792697Z

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.

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Observation 92dd6238-51ee-4e09-88c8-f53b2c9688c9 · outbound

This paper cites See Jackson Hole.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices See Jackson Hole

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T12:02:17.714423Z

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.

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Observation ecb77f61-74cc-446d-849c-7d7d0e7c4870 · outbound

This paper cites University of Illinois Urbana- Champaign.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices University of Illinois Urbana- Champaign

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:17.515289Z

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.

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Observation 61e82786-85e9-46b8-8cf8-faca5cfc82e3 · outbound

This paper cites (2025) How ring security cameras help protect your home.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices (2025) How ring security cameras help protect your home

Reference 4

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verified fuzzy
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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.

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Observation 0773901d-97fd-4bc9-bcae-973a5675bbf9 · outbound

This paper cites (2025) Meta ai glasses.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices (2025) Meta ai glasses

Reference 5

Resolution
verified fuzzy
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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=2026-08-07T12:02:14.086180Z digest=sha256:b8c9d1956977e9cdd4c3d85bf8d42f34db58d748c2f758c7f4040232c6ee9ac2

Observation 39f040a8-6ac7-4c65-b0ac-0c7706b37126 · outbound

This paper cites A 360-degree video analytics service for in-classroom firefighter training,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices A 360-degree video analytics service for in-classroom firefighter training,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:17.150684Z

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=2026-08-07T12:02:14.285741Z digest=sha256:f00711f4de829a4b7ecf80a111e1ff649d5a3bfb66c5bb19b7298d6ffb932b50

Observation 80bd7a61-5ca1-48af-9269-2d1ae6db1131 · outbound

This paper cites St-360: Spatial–temporal filtering-based low-latency 360-degree video analytics framework,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices St-360: Spatial–temporal filtering-based low-latency 360-degree video analytics framework,

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T12:02:15.612668Z

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=2026-08-07T12:02:14.364652Z digest=sha256:5ea6d77e5c7291da293fba10bd4a7e035737842e75ff3254e7c6bbeb0ee140eb

Observation 4d2f798c-34b7-48bb-9252-315f87fcf9af · outbound

This paper cites Reducto: On-camera filtering for resource-efficient real-time video analytics,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Reducto: On-camera filtering for resource-efficient real-time video analytics,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:14.499566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:14.499566Z digest=sha256:2c86826a09f8fed9c20e79421e02fd6b2edaf56ff5ccbe89946c955aeca38120

Observation e62bb08c-f1fb-4221-9dbb-b28ce292e90f · outbound

This paper cites RECL: Responsive Resource-Efficient continuous learning for video analytics,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices RECL: Responsive Resource-Efficient continuous learning for video analytics,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:17.006220Z

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.

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Observation 586bdeb5-0114-4018-aed6-83452dd413e5 · outbound

This paper cites Edge video analytics: A survey on applications, systems and enabling techniques,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Edge video analytics: A survey on applications, systems and enabling techniques,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:16.887336Z

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.

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Observation 13addad2-b5bd-4c9b-ac9c-424925f6c9e0 · outbound

This paper cites Adaframe: Adaptive frame selection for fast video recognition,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Adaframe: Adaptive frame selection for fast video recognition,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:16.788194Z

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.

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Observation b2701cc7-a581-4605-9271-3b4109797cdc · outbound

This paper cites Glimpse: Continuous, real-time object recognition on mobile devices,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Glimpse: Continuous, real-time object recognition on mobile devices,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:16.595849Z

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.

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Observation 3078df21-8533-4c15-a4bf-896f2707c5e7 · outbound

This paper cites Energy consumption models for smart camera networks,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Energy consumption models for smart camera networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:16.505895Z

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.

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Observation a6c9dbdc-a1d7-4e47-b7eb-5fbf3e432a80 · outbound

This paper cites Networked drone cameras for sports streaming,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Networked drone cameras for sports streaming,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:16.400701Z

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=2026-08-07T12:02:14.977557Z digest=sha256:d8cf73ffa6a76e67149469a6a766237e4fd0d6776030bb15180ef220b3ff38b7

Observation d6c51762-003c-430e-8bc4-6195dce618fa · outbound

This paper cites Bofl: bayesian optimized local training pace control for energy efficient federated learning,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Bofl: bayesian optimized local training pace control for energy efficient federated learning,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:15.050493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:15.050493Z digest=sha256:8ca1896496c8adc122406d7aec6636a9f636beb7543db4305d82ce792faf0d19

Observation 9458ee89-3f41-480d-9aef-d6a3dbbdf5c1 · outbound

This paper cites Multiobjective bayesian optimization for online accelerator tuning,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Multiobjective bayesian optimization for online accelerator tuning,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:15.080283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 69e9c4aa-be4e-4e31-a3be-7784424c55e7 · outbound

This paper cites Multi-objective bayesian global optimization using expected hypervolume improvement gradient,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Multi-objective bayesian global optimization using expected hypervolume improvement gradient,

Reference 18

Resolution
verified fuzzy
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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.

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Observation 4fc8faf7-f05d-42f6-9999-a274892afe7e · outbound

This paper cites [Online].

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices [Online]

Reference 19

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raw_fallback, observed 2026-08-07T12:02:16.208960Z

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.

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Observation 45901eaa-f3aa-46b8-ad1f-952964553107 · outbound

This paper cites [Online].

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices [Online]

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:16.030490Z

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.

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Observation ed976c42-4829-477b-b2a3-424d7826195e · outbound

This paper cites Ultralytics YOLO,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Ultralytics YOLO,

Reference 21

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unresolved
no resolver link, observed 2026-08-07T12:02:15.352609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2fa5827c-acdd-4c2f-91d5-283c3f83486b · outbound

This paper cites Trieste,.

EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices Trieste,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:02:15.895755Z

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.

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Pith citing papers

No inbound Pith citation observations are available.