Paper Citation Record · LEDGER

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.18101.

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

pith.paper-citation-record.v1
2607.18101 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:07:54.254144Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

28 of 28 outbound references displayed

verified exact4
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fc70e575-a139-440b-a1d1-8230d34eaaa7 · outbound

This paper cites et al.: Fastvit: A fast hybrid vision trans- former using structural reparameterization.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Fastvit: A fast hybrid vision trans- former using structural reparameterization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.192519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a96c89f-f09b-4f65-94d6-931131dac257 · outbound

This paper cites et al.: Enabling on-device smartphone gpu based training: Lessons learned.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Enabling on-device smartphone gpu based training: Lessons learned

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.195740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49e57dd-a2a9-40af-bf84-5014ab420765 · outbound

This paper cites et al.: Imagenet: A large-scale hierarchical image database.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Imagenet: A large-scale hierarchical image database

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.198020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce33609-d7c6-405b-afc6-fdde4ddf60b6 · outbound

This paper cites et al.: Qft: Post-training quantization via fast joint finetuning of all degrees of freedom.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Qft: Post-training quantization via fast joint finetuning of all degrees of freedom

Reference 4

Resolution: verified exact; doi, observed 2026-08-01T16:09:09.932487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5635df39-5f23-4baa-83a0-03e553d8b4cf · outbound

This paper cites Fighting Quantization Bias With Bias.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator Fighting Quantization Bias With Bias

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.202817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c8f4c3-19af-4726-9f47-fe6da5860f24 · outbound

This paper cites Accessed: 31-05-2026.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator Accessed: 31-05-2026

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.208233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad4964b0-3b7d-4c72-9d97-cfa3157f28f8 · outbound

This paper cites 4.23.0,https://hailo.ai, [Online].

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator 4.23.0,https://hailo.ai, [Online]

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.210231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2c1486-7cae-4211-bcd5-c69c4ab048a5 · outbound

This paper cites an unresolved cited work.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.212216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee23467-aafe-4944-95d0-1d9f61a70815 · outbound

This paper cites et al.: Deep residual learning for image recognition.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Deep residual learning for image recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.214090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b1053fb-2afc-4cfd-b218-1b50b7a0dc46 · outbound

This paper cites et al.: Searching for mobilenetv3.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Searching for mobilenetv3

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.216562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0dc78f-a5e9-4999-92e3-a89bb5c60bc6 · outbound

This paper cites et al.: On-device learning for human activity recogni- tion on low-power microcontrollers.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: On-device learning for human activity recogni- tion on low-power microcontrollers

Reference 12

Resolution: verified exact; doi, observed 2026-08-01T16:09:09.894110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation be1c418e-ad08-4dd9-b6bf-e62ea779fd2b · outbound

This paper cites an unresolved cited work.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.221322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f148a37a-d497-40a4-8c8b-c77d38a2106f · outbound

This paper cites et al.: On-device training under 256kb memory.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: On-device training under 256kb memory

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.223119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c94f586-3ca2-4452-ad37-d1f4cdaa8afc · outbound

This paper cites et al.: Same, same but different: Recovering neural network quantiza- tion error through weight factorization.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Same, same but different: Recovering neural network quantiza- tion error through weight factorization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.225139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77d8957-e3c8-455d-b337-6d6d6da16966 · outbound

This paper cites 1.22.1-hailo,https://github.com/MatPiech/onnxruntime, [Online].

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator 1.22.1-hailo,https://github.com/MatPiech/onnxruntime, [Online]

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.227240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6964e717-2311-4104-aacc-ab7f16984235 · outbound

This paper cites et al.: Up or down? adaptive rounding for post-training quantization.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Up or down? adaptive rounding for post-training quantization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.229443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f816a82d-39d2-4313-a674-600149d8d3ee · outbound

This paper cites an unresolved cited work.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.231354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1823284-e28b-4497-94d3-9c9ed4ebe9ce · outbound

This paper cites et al.: Cats and dogs.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Cats and dogs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.233236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab3174f-6e62-46c9-82dd-1eabf8d18dfe · outbound

This paper cites In: Advanced Concepts for Intelligent Vision Systems.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator In: Advanced Concepts for Intelligent Vision Systems

Reference 20

Resolution: verified exact; doi, observed 2026-08-01T16:09:02.580519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cac4397a-b1bd-4747-bf63-fa7fc83fed86 · outbound

This paper cites et al.: Computationally budgeted continual learning: What does mat- ter? In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Computationally budgeted continual learning: What does mat- ter? In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.238179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa4de020-45e4-476b-b46f-3a1f7a289d92 · outbound

This paper cites Journal of King Saud University - Computer and Information Sciences34(4), 1595–1623 (2022).

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator Journal of King Saud University - Computer and Information Sciences34(4), 1595–1623 (2022)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.240088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ca8d7dd-4655-4ea8-887e-fc1485a55e77 · outbound

This paper cites In: Chaudhuri, K., Salakhutdinov, R.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator In: Chaudhuri, K., Salakhutdinov, R

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.242096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbd0091-4a6d-4b41-9bc3-97855690d3bf · outbound

This paper cites et al.: Hardware-accelerated on-device learning: Training, parti- tioning, and compilation for constrained edge ai.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Hardware-accelerated on-device learning: Training, parti- tioning, and compilation for constrained edge ai

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.244040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b8299ba-d08c-4aea-9b28-02865f2b7b8f · outbound

This paper cites et al.: Continual learning: Applications and the road forward.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: Continual learning: Applications and the road forward

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.246216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f90d4c5-7929-4651-b754-b07dd9d505b4 · outbound

This paper cites et al.: A comprehensive survey of continual learning: Theory, method and application.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: A comprehensive survey of continual learning: Theory, method and application

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.248187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e50c1002-0e0a-40f7-924b-c8f8e103075c · outbound

This paper cites https://doi.org/10.5281/zenodo.4414861.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator https://doi.org/10.5281/zenodo.4414861

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.250056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0af608d-539e-4ee0-b110-459c6ddf5304 · outbound

This paper cites IEEE Transactions on Network Science and Engineering13, 6571–6588 (2026).

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator IEEE Transactions on Network Science and Engineering13, 6571–6588 (2026)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T16:07:54.252182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b36059-f950-4119-b33a-fb5c6c4f62d6 · outbound

This paper cites et al.: On-device training: A first overview on existing systems.

Empowering On-Device Model Adaptation with an Edge AI Inference Accelerator et al.: On-device training: A first overview on existing systems

Reference 29

Resolution: verified exact; doi, observed 2026-08-01T16:09:02.533467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.