Paper Citation Record · LEDGER

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.16086.

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

pith.paper-citation-record.v1
2411.16086 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:36:51.917914Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy20
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58512763-9c92-4a85-8c91-96f305a93d9b · outbound

This paper cites Band: coordinated multi-dnn inference on heterogeneous mobile processors,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Band: coordinated multi-dnn inference on heterogeneous mobile processors,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T13:36:51.821717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6768da5f-ddcd-42e7-90a4-e9a72bd97b39 · outbound

This paper cites Energy-aware scenario-based mapping of deep learning applications onto heterogeneous processors under real-time constraints,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Energy-aware scenario-based mapping of deep learning applications onto heterogeneous processors under real-time constraints,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.298624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3009cc2d-c079-49d9-b730-482cadd92c10 · outbound

This paper cites DeepThings: Distributed adaptive deep learning inference on resource-constrained IoT edge clusters,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms DeepThings: Distributed adaptive deep learning inference on resource-constrained IoT edge clusters,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.287278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 53631d73-0ce9-4bdc-aa18-414d1a1cd2cb · outbound

This paper cites MoDNN: Local distributed mobile computing system for Deep Neural Network,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms MoDNN: Local distributed mobile computing system for Deep Neural Network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.276023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 69995c3c-934b-4aae-9993-5e84b203a5b5 · outbound

This paper cites Disnet: Distributed micro-split deep learning in heterogeneous dynamic iot,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Disnet: Distributed micro-split deep learning in heterogeneous dynamic iot,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.262862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation de2b4e54-f6fb-47ae-80d5-3b27b3c22d78 · outbound

This paper cites I-split: Deep network interpretability for split com- puting,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms I-split: Deep network interpretability for split com- puting,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.249873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0196585b-f3fe-489d-bb7e-74e06e245740 · outbound

This paper cites Omniboost: Boosting throughput of heterogeneous embedded devices under multi-dnn workload,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Omniboost: Boosting throughput of heterogeneous embedded devices under multi-dnn workload,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.237118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0cef696b-dac0-4807-8643-e5cd10fccbcf · outbound

This paper cites Partnner: Platform-agnostic adaptive edge-cloud dnn partitioning for minimizing end-to-end latency,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Partnner: Platform-agnostic adaptive edge-cloud dnn partitioning for minimizing end-to-end latency,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.223930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 785720b3-470d-4ff3-a8db-355bb62ec495 · outbound

This paper cites Road-runner: Collaborative dnn partitioning and offloading on heterogeneous edge systems,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Road-runner: Collaborative dnn partitioning and offloading on heterogeneous edge systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.210082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7254722e-978a-41c6-b1a3-a48ae9242519 · outbound

This paper cites High-throughput cnn inference on embedded arm big. little multicore processors,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms High-throughput cnn inference on embedded arm big. little multicore processors,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.195760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f10e5399-4786-4209-8a25-02ae25cb690c · outbound

This paper cites Moc: Multi-objective mobile cpu-gpu co-optimization for power-efficient dnn inference,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Moc: Multi-objective mobile cpu-gpu co-optimization for power-efficient dnn inference,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.183474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0e4e60d1-f804-49b3-8be4-a0cfb51b5c7c · outbound

This paper cites Hasp: Hierarchical asynchronous parallelism for multi-nn tasks,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Hasp: Hierarchical asynchronous parallelism for multi-nn tasks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.171050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5644e0d-8077-4620-92c7-f57749e6ceab · outbound

This paper cites Deepslicing: Collaborative and adaptive cnn inference with low latency,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Deepslicing: Collaborative and adaptive cnn inference with low latency,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.158013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ed2e48c5-add9-4949-bf14-feaf9aa792c3 · outbound

This paper cites Legion: Tailoring grouped neural execution considering heterogeneity on multiple edge devices,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Legion: Tailoring grouped neural execution considering heterogeneity on multiple edge devices,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.144999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e4bb936e-9cd1-4341-9c18-3f5ceaa61093 · outbound

This paper cites Automated exploration and implementation of distributed cnn inference at the edge,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Automated exploration and implementation of distributed cnn inference at the edge,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T13:36:51.880229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab0b5e9-3e6a-499c-aff8-7bea7db06399 · outbound

This paper cites Enabling DNN Acceleration with Data and Model Parallelization over Ubiquitous End Devices,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Enabling DNN Acceleration with Data and Model Parallelization over Ubiquitous End Devices,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.123675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6a8f5545-548c-4bfb-8049-3b8a900553b1 · outbound

This paper cites Adaptive workload distribution for accuracy-aware dnn inference on collaborative edge platforms,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Adaptive workload distribution for accuracy-aware dnn inference on collaborative edge platforms,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.111904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55e0612d-379a-44d2-b626-1e9ef6b61b1e · outbound

This paper cites Tensorflow,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Tensorflow,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.099615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aefb083d-1671-4063-903d-ab9859ba69d6 · outbound

This paper cites [Online].

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms [Online]

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.087397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5734a4c9-e66d-461a-af86-0bf0d24e017d · outbound

This paper cites an unresolved cited work.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:36:52.074376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df19080e-244e-4414-a771-7602a8185be0 · outbound

This paper cites Autoscale: Energy efficiency optimization for stochas- tic edge inference using reinforcement learning,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Autoscale: Energy efficiency optimization for stochas- tic edge inference using reinforcement learning,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T13:36:51.902008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a573d24-6cbc-43b3-9808-a9c445f24596 · outbound

This paper cites Arm-co-up: Arm co operative u tilization of p rocessors,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Arm-co-up: Arm co operative u tilization of p rocessors,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.052571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3182132e-247b-4f32-ba30-0bb45324d37b · outbound

This paper cites Jetson tx2 module,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Jetson tx2 module,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.039107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1a01dd5e-806a-4ae5-85aa-1acb21221004 · outbound

This paper cites Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:36:52.025405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 369993a9-1651-4725-a618-22545f181ade · outbound

This paper cites Gymnasium,.

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms Gymnasium,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T13:36:51.917914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.