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Paper Citation Record · LEDGER

AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.05633.

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

pith.paper-citation-record.v1
2407.05633 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:19:45.655197Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T21:57:28.993661Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4647dccb-2163-480a-b38d-b73a022c81e6 · inbound

IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose cites this paper.

IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-12T17:19:45.655197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:19:45.655197Z digest=sha256:3dce83f34cbfb2776423bd2907d4066576c5f1f369403ac42112a53df28e9f83

Observation 7947ca98-8f4e-4f2d-a524-b03fc2d335d5 · inbound

Construction and optimization of health behavior prediction model for the elderly in smart elderly care cites this paper.

Construction and optimization of health behavior prediction model for the elderly in smart elderly care AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T23:56:02.895962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:56:02.895962Z digest=sha256:9ff419d30775fbae8db863c51b623adfd2d4ade15c4823fe8a89f4191e48bf1f

Observation af522379-1797-49c2-8032-0ce2cee8db6e · inbound

Optimized CNNs for Rapid 3D Point Cloud Object Recognition cites this paper.

Optimized CNNs for Rapid 3D Point Cloud Object Recognition AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-11T23:06:27.902045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:06:27.902045Z digest=sha256:0cf01f03e508b0136e92d2008e04b5d11239bf12fa0b759476728ec5aadd3906

Observation 46123842-5f85-462f-9a51-0c580c992098 · inbound

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis cites this paper.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:57:28.997034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:57:28.443287Z digest=sha256:9575502cab4b3eb4204140d08a102c9f84c47504c489ea3e0cbca632d44379c8