Paper Citation Record · LEDGER

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.12610.

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

pith.paper-citation-record.v1
2506.12610 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:51:49.067268Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

26 of 26 outbound references displayed

verified exact1
verified fuzzy21
unresolved4
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64ec50b4-7244-4a6f-b574-b2061b2a6d40 · outbound

This paper cites SpatialBot: Precise Spatial Understanding with Vision Language Models.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification SpatialBot: Precise Spatial Understanding with Vision Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:48.968184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7ef80a-3e60-4dab-ad71-b0724ad3c96d · outbound

This paper cites Machine learning in finance, volume 1170.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Machine learning in finance, volume 1170

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.453511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9a88124-2320-4133-ae05-77254e315cf1 · outbound

This paper cites Machine learning in healthcare.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Machine learning in healthcare

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.439342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1223ae96-b55c-4e7f-b019-0c5a7a8d9c96 · outbound

This paper cites Power hungry processing: Watts driving the cost of ai deployment? In The 2024 ACM Conference on Fair- ness, Accountability, and Transparency, pages 85–99,.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Power hungry processing: Watts driving the cost of ai deployment? In The 2024 ACM Conference on Fair- ness, Accountability, and Transparency, pages 85–99,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.425426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f11103e-d481-4ab5-8704-28cbbc75f722 · outbound

This paper cites Evaluating the carbon foot- print of nlp methods: a survey and analysis of existing tools.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Evaluating the carbon foot- print of nlp methods: a survey and analysis of existing tools

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.410830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5d36506-05de-4d35-bc1c-a430869f690b · outbound

This paper cites Reducing the carbon impact of generative ai infer- ence (today and in 2035).

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Reducing the carbon impact of generative ai infer- ence (today and in 2035)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.396725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d451bf7b-1548-498a-b8d2-0ff3e2e5dd27 · outbound

This paper cites Compute and Energy Consumption Trends in Deep Learning Inference.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Compute and Energy Consumption Trends in Deep Learning Inference

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:48.992724Z

Source-reported events for the cited work

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Observation 5525a60b-2769-4fde-944d-7b311e47c08a · outbound

This paper cites Smith and Thomas H.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Smith and Thomas H

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.383104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d48a4301-1599-44bc-b7ac-3048b2665276 · outbound

This paper cites Osc- net: Machine learning on cmos oscillator networks.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Osc- net: Machine learning on cmos oscillator networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.369673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97ea7e3a-7820-41e9-b116-d57cd92ffbe5 · outbound

This paper cites Hyperbolic hopfield neural networks for image classification in content-based image re- trieval.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Hyperbolic hopfield neural networks for image classification in content-based image re- trieval

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.356783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b1f9ec8-ba9e-46b6-bd68-7da38b501331 · outbound

This paper cites Training energy-based single-layer hopfield and oscillatory net- works with unsupervised and supervised algorithms for image classification.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Training energy-based single-layer hopfield and oscillatory net- works with unsupervised and supervised algorithms for image classification

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.343062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 837623fd-3098-4599-9be6-9bcccfc9862a · outbound

This paper cites Hebb and darwin.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Hebb and darwin

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.329118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 30957e56-e9e7-42cf-bc5e-e45deaaa47fa · outbound

This paper cites Adaptive pattern classification and universal recoding: I.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Adaptive pattern classification and universal recoding: I

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.316041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 63157f62-a29a-4ded-a937-7545245420f4 · outbound

This paper cites Gradient-based learning applied to document recognition.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Gradient-based learning applied to document recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.301548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6a2d72bb-2467-4767-8322-5d35782db0f4 · outbound

This paper cites Hopfield Networks is All You Need.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Hopfield Networks is All You Need

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:49.024432Z

Source-reported events for the cited work

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Observation e5af0c70-0799-4e89-b34d-c6c1cab8ef4c · outbound

This paper cites The application of competitive hopfield neural net- work to medical image segmentation.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification The application of competitive hopfield neural net- work to medical image segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.288688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7a16c11-8e62-4364-85d1-25310f113d4d · outbound

This paper cites Izhikevich and Frank C.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Izhikevich and Frank C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.274666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f910b9f-84a0-4460-aa85-5126c53c1013 · outbound

This paper cites A general theory of injection locking and pulling in electrical oscilla- tors—part i: Time-synchronous modeling and injec- tion waveform design.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification A general theory of injection locking and pulling in electrical oscilla- tors—part i: Time-synchronous modeling and injec- tion waveform design

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.262070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 177f5aec-6dda-41b4-8d95-5a0d7e248d01 · outbound

This paper cites Local and grobal self- entrainments in oscillator lattices.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Local and grobal self- entrainments in oscillator lattices

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.247418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dc2f24d8-49a9-4261-9f61-747e3eb05f0a · outbound

This paper cites an unresolved cited work.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:51:49.232415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6982b940-176b-45bf-8a54-3b0f2531b173 · outbound

This paper cites Shem: A Hardware-Aware Optimization Framework for Analog Computing Systems.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Shem: A Hardware-Aware Optimization Framework for Analog Computing Systems

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:51:49.107731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c1d9b9a1-a051-4b1f-aad8-128633363e6b · outbound

This paper cites Ising machines as hardware solvers of com- binatorial optimization problems.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Ising machines as hardware solvers of com- binatorial optimization problems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.217745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 45ca2770-880f-476f-8b3b-600a6a9ef0f2 · outbound

This paper cites Classification of hand- written digits using the hopfield network.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Classification of hand- written digits using the hopfield network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.204299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 015cf231-cc59-4b37-8cf0-a338eb80c86b · outbound

This paper cites A 1,968-node coupled ring oscillator circuit for combi- natorial optimization problem solving.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification A 1,968-node coupled ring oscillator circuit for combi- natorial optimization problem solving

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.191238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ba7947e-e8f5-46a8-8568-206514f4ab8d · outbound

This paper cites An ising solver chip based on coupled ring oscillators with a 48-node all-to- all connected array architecture.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification An ising solver chip based on coupled ring oscillators with a 48-node all-to- all connected array architecture

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.178320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3419778b-b282-4f31-99e6-ce7f8af73c62 · outbound

This paper cites Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights.

OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image Classification Hardware acceleration of sparse and irregular tensor computations of ml models: A survey and insights

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:51:49.164741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.