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Paper Citation Record · LEDGER

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge

As of 6 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2605.05527.

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

pith.paper-citation-record.v1
2605.05527 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T05:45:51.382212Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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 exact8
  • verified fuzzy11
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e92d4cf-9677-4d2c-b5be-cab28cf642f9 · outbound

This paper cites Edge intelligence: Paving the last mile of artificial intelligence with edge computing.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Edge intelligence: Paving the last mile of artificial intelligence with edge computing

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.829129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:e97695b20cadc7ff4fa9ec343d14769cccd29619e1532e0d524cae652bc52ff8

Observation 73c2ef14-3e6b-481a-aad8-7e0acffdefee · outbound

This paper cites A survey on edge computing systems and tools.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge A survey on edge computing systems and tools

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.810280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:67127fe86f5a1f64885684422ff2d9afa22df6ed9aa9c0170f4aad7fe1cab3b5

Observation 43d54aba-70eb-4ffa-92cb-63950e2492d0 · outbound

This paper cites Orion: Interference-aware, fine- grained gpu sharing for ml applications.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Orion: Interference-aware, fine- grained gpu sharing for ml applications

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.813975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:382b1749dbcbc2e763f1f96146a800468b3128d8cc2af1d368a79b082573a817

Observation fb1dec72-5747-4566-a56b-817e42067604 · outbound

This paper cites InProceedings of the 29th Symposium on Operating Systems Principles (SOSP ’23).

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge InProceedings of the 29th Symposium on Operating Systems Principles (SOSP ’23)

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T23:34:26.309032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:ecf7cff6fa24492aa42bfe8fc9c3960d813f838501e78f635a4b50e241fe3663

Observation c928a499-c6a7-4722-8d72-8ebed99fa52d · outbound

This paper cites Serving DNNs like clockwork: Performance predictability from the bottom up.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Serving DNNs like clockwork: Performance predictability from the bottom up

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.796444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:e6d1886a7fd8985bf26034891f953859bf6168317cc7b3003b11af98a74a0d39

Observation 4ed1f285-7775-4180-a1b9-65ccf97aaea7 · outbound

This paper cites INFaaS: Automated model-less inference serving.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge INFaaS: Automated model-less inference serving

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.799384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:b922a3be38da120df9cec1e1bca794d93c6d28ccee87e804cb215334bd018826

Observation 199cc640-6b16-4bf6-8c2a-b607bb02458f · outbound

This paper cites Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:21:13.907940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:95c46d5d0fe3de2facb6df66c53f4e85d400ae165d46b55fb731c925ce13f973

Observation d08254d3-9c2d-4979-ba3b-fd4809ce2d06 · outbound

This paper cites Shallow-Deep Networks: Understanding and Mitigating Network Overthinking.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:36:59.098898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:c18c0976d9a31ca2cde09c36c56186bcb51cfbbb6188e0385161511f4b0cb268

Observation 75cd03cc-7d62-44bf-86a0-d519b30857f5 · outbound

This paper cites Spinn: synergistic progressive inference of neural networks over device and cloud.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Spinn: synergistic progressive inference of neural networks over device and cloud

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:34:26.300960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:b462b568b738bafa9e674dc2d92a73ce5cf408f94e5dc7ccff90226a90ddbc3a

Observation 3fedd376-4938-4356-8f84-5bba74b3dfa7 · outbound

This paper cites EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:13.850098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:a0818bdbf3742d3e5d009877934194b48970ed3be865e1d6af916d3eba32f236

Observation fa027de7-6695-4165-ae90-9ae2013f45cb · outbound

This paper cites BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:13.891894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:4df3c0a36e5048dc2a1db372520f8cc5f68975dd13f38f5ec7a5d0c6704f3732

Observation 7f091beb-9433-434a-9423-68bb3c3da3df · outbound

This paper cites Apparate: Rethinking early exits to tame latency-throughput tensions in ml serving.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Apparate: Rethinking early exits to tame latency-throughput tensions in ml serving

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.806445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:a4281f132ee53523a4066df2bb4ac1ef9ce24a9ff4caaa259af25b9555ce18e8

Observation d5d319b3-9896-40a7-b386-f2411aa67fe9 · outbound

This paper cites BERT Loses Patience: Fast and Robust Inference with Early Exit.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge BERT Loses Patience: Fast and Robust Inference with Early Exit

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:13.864437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:bf5fcfb17a138d1a330f2a2e639eb165eafc49be69758dbbc1d47cb577ffa93d

Observation 576e05f3-9d88-431a-819f-4b2d424dd44c · outbound

This paper cites You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:13.807692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:1095366ae6fd09c701a14ac19453e57cdb951cc8e7412393a8900d0d98121b20

Observation eb03e490-c7a8-4cc3-bd36-370cec679a52 · outbound

This paper cites NVIDIA Multi-Process Service (MPS).

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge NVIDIA Multi-Process Service (MPS)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.802867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:ff64ef80b080af3e7070d74b65f465b54f5e7fa6ab5d5032ca7b112926c93a43

Observation 11bc9e8c-10da-4cbf-b3db-4ec16ff3b9e6 · outbound

This paper cites Real-time, work-conserving gpu scheduling for concurrent dnn inference.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Real-time, work-conserving gpu scheduling for concurrent dnn inference

Reference 16

Resolution
verified exact
doi, observed 2026-05-08T23:34:26.318437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:2cb4e24a2cb486951c7bcdec85304a5d089b023db7f272c886dfe87fc9a7762c

Observation cf106f71-c33d-4a6f-a5cc-a7e4bcd96ef3 · outbound

This paper cites Clipper: A low-latency online prediction serving system.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Clipper: A low-latency online prediction serving system

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.817682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:92018857272ef8529f49298a797bbc17177eb820460409716a5a6149c115fbc4

Observation 08e71552-4b0a-40e7-9a42-fa3415eab5ad · outbound

This paper cites TensorFlow-Serving: Flexible, High-Performance ML Serving.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge TensorFlow-Serving: Flexible, High-Performance ML Serving

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:21:13.796964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:b78478c520d892d269ed9c8fc61fa4c477655ae116c8a940be15285c2d241a68

Observation 734f58ff-53bd-4ea5-bef6-08f38f7630be · outbound

This paper cites NVIDIA Triton Inference Server.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge NVIDIA Triton Inference Server

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.832215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:3001ce812e9e9a18f1726ab706568982f3b8222a333da0e057abedb9fa2ba72f

Observation 984210f6-157d-4d56-a2ea-892e4142ae33 · outbound

This paper cites Proteus: A high-throughput inference-serving system with accuracy scaling.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Proteus: A high-throughput inference-serving system with accuracy scaling

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.824786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:55464e145b853e86f9f114c7b8380dbd1905f77f0b9300bd482b6747d5936bdf

Observation 04287f22-da69-41e4-acaf-180f7db36328 · outbound

This paper cites Cocktail: A multidimensional optimization for model serving in cloud.

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge Cocktail: A multidimensional optimization for model serving in cloud

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T19:32:54.821153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T05:45:51.382212Z digest=sha256:5bbed35cf5e73ebc4332ea9b3f171da6fba609a36521e7e627fa4208a3f6c984

Pith citing papers

No inbound Pith citation observations are available.