Paper Citation Record · LEDGER

Assessing the Performance of Analog Training for Transfer Learning

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.11067.

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

pith.paper-citation-record.v1
2505.11067 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:02:50.434091Z

measured 33 of 33 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

33 of 33 outbound references displayed

verified exact0
verified fuzzy23
unresolved10
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a69b4599-9ce3-45a4-906a-ed2097951e80 · outbound

This paper cites A survey on deep transfer learning,.

Assessing the Performance of Analog Training for Transfer Learning A survey on deep transfer learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.839916Z

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

Observation d1f9949c-5fec-49f1-bb4f-9f287430017b · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Assessing the Performance of Analog Training for Transfer Learning On the Opportunities and Risks of Foundation Models

Reference 2

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Source-reported events for the cited work

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Observation 1ccbcc16-ceb3-49a7-8b0c-5d3733df6078 · outbound

This paper cites Detecting llm-generated text in computing education: Comparative study for chatgpt cases,.

Assessing the Performance of Analog Training for Transfer Learning Detecting llm-generated text in computing education: Comparative study for chatgpt cases,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:50.321237Z

Source-reported events for the cited work

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Observation 15939338-3018-4275-875f-0906319a236d · outbound

This paper cites Large language models in medicine,.

Assessing the Performance of Analog Training for Transfer Learning Large language models in medicine,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:50.325022Z

Source-reported events for the cited work

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Observation 2c445950-f482-43d5-93d4-27e79d3cecbe · outbound

This paper cites Driving with llms: Fusing object- level vector modality for explainable autonomous driving,.

Assessing the Performance of Analog Training for Transfer Learning Driving with llms: Fusing object- level vector modality for explainable autonomous driving,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.810475Z

Source-reported events for the cited work

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Observation 007a1a66-e15c-4d2b-a3f1-ccabee024bb4 · outbound

This paper cites Large language models in finance: A survey,.

Assessing the Performance of Analog Training for Transfer Learning Large language models in finance: A survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.796838Z

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 2d3ad8a2-7ce0-4c74-8b15-e58d1260574c · outbound

This paper cites Emergent Abilities of Large Language Models.

Assessing the Performance of Analog Training for Transfer Learning Emergent Abilities of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:50.339173Z

Source-reported events for the cited work

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Observation 41855a3f-9791-4eb2-a92a-955c8b99bd9d · outbound

This paper cites A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations,.

Assessing the Performance of Analog Training for Transfer Learning A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.782538Z

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 6948e19e-f85c-48cf-a645-9753148b22f9 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Assessing the Performance of Analog Training for Transfer Learning A Survey on Multimodal Large Language Models

Reference 9

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Source-reported events for the cited work

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Observation 84081f6b-96a0-40cb-ab20-c42802b16cb1 · outbound

This paper cites A joint energy and latency framework for transfer learning over 5g industrial edge networks,.

Assessing the Performance of Analog Training for Transfer Learning A joint energy and latency framework for transfer learning over 5g industrial edge networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:50.350127Z

Source-reported events for the cited work

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Observation ba90216a-4efc-4e30-ba6e-299c4ca48a43 · outbound

This paper cites Efficient privacy preserving edge intelligent computing framework for image classifica- tion in iot,.

Assessing the Performance of Analog Training for Transfer Learning Efficient privacy preserving edge intelligent computing framework for image classifica- tion in iot,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.762167Z

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 fd8a3b3d-4d08-422a-802f-65a8ce40c552 · outbound

This paper cites Demonstration of transfer learning using 14 nm technology analog reram array,.

Assessing the Performance of Analog Training for Transfer Learning Demonstration of transfer learning using 14 nm technology analog reram array,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.750235Z

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 f608c18e-c386-4e61-a98e-02194bbce223 · outbound

This paper cites Ohm’s law + kirchhoff’s current law = better ai: Neural-network processing done in memory with analog circuits will save energy,.

Assessing the Performance of Analog Training for Transfer Learning Ohm’s law + kirchhoff’s current law = better ai: Neural-network processing done in memory with analog circuits will save energy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.738052Z

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 d9620d05-6414-409f-8350-2fd229061867 · outbound

This paper cites A heterogeneous and programmable compute-in-memory accelerator architecture for analog-ai using dense 2-d mesh,.

Assessing the Performance of Analog Training for Transfer Learning A heterogeneous and programmable compute-in-memory accelerator architecture for analog-ai using dense 2-d mesh,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.725822Z

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 490d77d0-4b7a-47d5-9b40-2856da20ded6 · outbound

This paper cites Bottom-up and top-down ap- proaches for the design of neuromorphic processing systems: tradeoffs and synergies between natural and artificial intelligence,.

Assessing the Performance of Analog Training for Transfer Learning Bottom-up and top-down ap- proaches for the design of neuromorphic processing systems: tradeoffs and synergies between natural and artificial intelligence,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.713489Z

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 f8af0513-8dfc-43e6-83b9-48b73a036c29 · outbound

This paper cites Computational phase- change memory: Beyond von neumann computing,.

Assessing the Performance of Analog Training for Transfer Learning Computational phase- change memory: Beyond von neumann computing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.701575Z

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 03932fc3-9292-407d-b6a0-5d3b6c641af6 · outbound

This paper cites Using the ibm analog in-memory hardware acceleration kit for neural network training and inference,.

Assessing the Performance of Analog Training for Transfer Learning Using the ibm analog in-memory hardware acceleration kit for neural network training and inference,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.689683Z

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 08ffd413-24f4-4273-8004-a1f97430cc87 · outbound

This paper cites Analog-memory- based 14nm hardware accelerator for dense deep neural networks includ- ing transformers,.

Assessing the Performance of Analog Training for Transfer Learning Analog-memory- based 14nm hardware accelerator for dense deep neural networks includ- ing transformers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.678198Z

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 b7f6b22a-ab39-4e50-82cf-8812716b6f7d · outbound

This paper cites Impact of asymmetric weight update on neural network training with tiki-taka algorithm,.

Assessing the Performance of Analog Training for Transfer Learning Impact of asymmetric weight update on neural network training with tiki-taka algorithm,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.666108Z

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 5636ed93-3f72-4a59-b970-e41b1de76b4c · outbound

This paper cites Fast and robust analog in-memory deep neural network training,.

Assessing the Performance of Analog Training for Transfer Learning Fast and robust analog in-memory deep neural network training,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.656185Z

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 9ccd18b1-0f5f-43f1-aae4-34a6963e310a · outbound

This paper cites Neural network learning using non-ideal resistive memory devices,.

Assessing the Performance of Analog Training for Transfer Learning Neural network learning using non-ideal resistive memory devices,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.645451Z

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 8ae18437-13bc-459a-b3f3-bc48b352ba64 · outbound

This paper cites Training large-scale artificial neural networks on simulated resistive crossbar arrays,.

Assessing the Performance of Analog Training for Transfer Learning Training large-scale artificial neural networks on simulated resistive crossbar arrays,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.633792Z

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 08bdd632-edc3-4a34-a38b-f94378492cd0 · outbound

This paper cites Mixed-precision architecture based on computational memory for training deep neural networks,.

Assessing the Performance of Analog Training for Transfer Learning Mixed-precision architecture based on computational memory for training deep neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.621994Z

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 f8cb2d2a-4471-4fd1-afb2-ff430ea34e5f · outbound

This paper cites Acceleration of deep neural network training with resistive cross-point devices,.

Assessing the Performance of Analog Training for Transfer Learning Acceleration of deep neural network training with resistive cross-point devices,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.609021Z

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 585beae3-3ae6-4f7e-83a1-c3cdf63880df · outbound

This paper cites Algorithm for training neural networks on resistive device arrays,.

Assessing the Performance of Analog Training for Transfer Learning Algorithm for training neural networks on resistive device arrays,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.593424Z

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 72af6156-144a-4573-bb6d-c48caf797315 · outbound

This paper cites Enabling training of neural networks on noisy hardware,.

Assessing the Performance of Analog Training for Transfer Learning Enabling training of neural networks on noisy hardware,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.581142Z

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 7bae4c48-2093-4580-9f26-6107833ea02e · outbound

This paper cites Deep learning acceleration in 14nm cmos compatible reram array: device, material and algorithm co-optimization,.

Assessing the Performance of Analog Training for Transfer Learning Deep learning acceleration in 14nm cmos compatible reram array: device, material and algorithm co-optimization,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.568943Z

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 f3bae9f5-6d13-4e32-a408-3523012e7d6e · outbound

This paper cites Circuit techniques for reducing the effects of op-amp imperfections: autozeroing, correlated double sampling, and chopper stabilization,.

Assessing the Performance of Analog Training for Transfer Learning Circuit techniques for reducing the effects of op-amp imperfections: autozeroing, correlated double sampling, and chopper stabilization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.556013Z

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 2d4eabf9-7831-44c2-8af5-87b257b47ca5 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Assessing the Performance of Analog Training for Transfer Learning Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 29

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Source-reported events for the cited work

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Observation da113d1f-e478-446f-ba99-2eb6c3fd9c7e · outbound

This paper cites Attention is all you need,.

Assessing the Performance of Analog Training for Transfer Learning Attention is all you need,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:50.423242Z

Source-reported events for the cited work

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Observation 3880c667-2b6d-40f1-a7a0-6970ae51fea7 · outbound

This paper cites A survey on vision transformer,.

Assessing the Performance of Analog Training for Transfer Learning A survey on vision transformer,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:50.427053Z

Source-reported events for the cited work

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Observation fc1b0602-185c-45c1-b245-4c5d1286d905 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Assessing the Performance of Analog Training for Transfer Learning Learning multiple layers of features from tiny images,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:50.430644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa107951-4625-4e04-8f14-46364c4e2e11 · outbound

This paper cites Impact of l 1 batch normalization on analog noise resistant property of deep learning models,.

Assessing the Performance of Analog Training for Transfer Learning Impact of l 1 batch normalization on analog noise resistant property of deep learning models,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:02:50.508131Z

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.