Paper Citation Record · LEDGER

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2505.24721.

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

pith.paper-citation-record.v1
2505.24721 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:22.854782Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:18.587555Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T12:22:22.990425Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy33
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7813ed97-46e0-4e0e-86e4-74fe3518777e · outbound

This paper cites an unresolved cited work.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:29.481837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60760cc5-fa9a-46f8-b817-9506956591f5 · outbound

This paper cites Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:22:23.042699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4dc108a-c67d-4973-b509-b554caa5bc3c · outbound

This paper cites We chose the Conformer as encoder architecture as it is widely used in current research literature [27].

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach We chose the Conformer as encoder architecture as it is widely used in current research literature [27]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:29.286633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab0788fb-203d-455b-811f-7c7a9f662ab8 · outbound

This paper cites While PTQ works well for 8-bit precision formats, the performance degrades with decreas- ing bit depth [30].

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach While PTQ works well for 8-bit precision formats, the performance degrades with decreas- ing bit depth [30]

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:29.158302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 670ef973-d1a6-4500-909b-33123b00c278 · outbound

This paper cites an unresolved cited work.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:28.996432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25dbdcc3-f80a-4b3d-b494-94b23be6c95e · outbound

This paper cites Experimental Setup We conduct our experiments on TED-LIUMv2 (TEDv2) [17], which consists of 207 hours of TED talks.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Experimental Setup We conduct our experiments on TED-LIUMv2 (TEDv2) [17], which consists of 207 hours of TED talks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.791582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 186e23c3-0a23-4e52-98ad-054d9c7bf3cd · outbound

This paper cites As chip co-integration has been disregarded in this work, we can not make any assumptions yet about the speed and energy benefit achieved by using memristor hardware.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach As chip co-integration has been disregarded in this work, we can not make any assumptions yet about the speed and energy benefit achieved by using memristor hardware

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.619346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16089c16-9742-4b11-8733-ea7c8303e747 · outbound

This paper cites an unresolved cited work.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:28.482291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8d82c92-4eb9-4c84-a179-939bb86cb80a · outbound

This paper cites Clusters4Future.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Clusters4Future

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.326321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f991038-b1bf-4af1-9259-1070f030bce5 · outbound

This paper cites Long short-term memory,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Long short-term memory,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:28.130192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f32957f-4b6f-4d27-98af-f44449d6998b · outbound

This paper cites Attention is all you need,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Attention is all you need,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.886736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 99728e31-b18f-4ecf-bf34-6fc1ccd45516 · outbound

This paper cites TPU v4: An optically reconfig- urable supercomputer for machine learning with hardware support for embeddings,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach TPU v4: An optically reconfig- urable supercomputer for machine learning with hardware support for embeddings,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.712575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6d88c65-fd54-4ae5-8017-db8069e9cc82 · outbound

This paper cites Accelerating ml workloads using gpu tensor cores: The good, the bad, and the ugly,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Accelerating ml workloads using gpu tensor cores: The good, the bad, and the ugly,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.536869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a965143-4dd4-46a4-8332-75f0bc4fb51a · outbound

This paper cites The missing memristor found,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach The missing memristor found,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.353873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8773ea01-3dfc-4ef7-b511-f9b946077fb8 · outbound

This paper cites Hardware implementation of memristor-based artificial neural networks,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Hardware implementation of memristor-based artificial neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.190209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7be31b5c-bc8d-4b0b-a926-4269fc74f92b · outbound

This paper cites A compute-in-memory chip based on resistive random-access memory,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach A compute-in-memory chip based on resistive random-access memory,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:27.046256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae7fb841-c28f-4fa7-982b-9186d1557b80 · outbound

This paper cites Synaptogen: A cross- domain generative device model for large-scale neuromorphic circuit design,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Synaptogen: A cross- domain generative device model for large-scale neuromorphic circuit design,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.889079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9d5806b-5754-4e26-aa05-94dab846800e · outbound

This paper cites MemTorch: An Open-source Simulation Framework for Memris- tive Deep Learning Systems,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach MemTorch: An Open-source Simulation Framework for Memris- tive Deep Learning Systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.707283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5c5fd5d-ae4b-4303-8f96-e318ded9b8b0 · outbound

This paper cites A flexible and fast pytorch toolkit for simulating training and infer- ence on analog crossbar arrays,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach A flexible and fast pytorch toolkit for simulating training and infer- ence on analog crossbar arrays,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.553237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1680fc60-b657-4e60-ba58-200c1c8f61a4 · outbound

This paper cites Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.366201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd622440-8005-4ad3-9f12-a249fb80b54e · outbound

This paper cites Neuromorphic circuit simulation with memristors: Design and evaluation using memtorch for mnist and cifar,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Neuromorphic circuit simulation with memristors: Design and evaluation using memtorch for mnist and cifar,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.216959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77f9347a-9e23-45cb-bdde-e8ec5ddbbd32 · outbound

This paper cites Rxnn: A framework for evaluating deep neural networks on resistive cross- bars,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Rxnn: A framework for evaluating deep neural networks on resistive cross- bars,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:26.051933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1e8d891b-34c0-4676-8cd6-e955c66bf57c · outbound

This paper cites MNIST handwritten digit database,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach MNIST handwritten digit database,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:20.515913Z

Source-reported events for the cited work

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Observation a71ca797-5e64-44c1-a47a-9263da0076cb · outbound

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

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Learning multiple layers of features from tiny images,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:20.633873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c00e5c3-42b0-4e54-986c-1a6ef4494d4e · outbound

This paper cites Speech Commands: A Dataset for Limited-V ocabulary Speech Recognition,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Speech Commands: A Dataset for Limited-V ocabulary Speech Recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:25.906404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2cffc2c-1011-40ce-8dee-76825a659080 · outbound

This paper cites Enhancing the ted-lium corpus with selected data for language modeling and more ted talks,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Enhancing the ted-lium corpus with selected data for language modeling and more ted talks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:25.762655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b36d6669-21b4-4e3a-a0fe-7e67bc6203c3 · outbound

This paper cites Sisyphus, a workflow manager designed for machine translation and automatic speech recogni- tion,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Sisyphus, a workflow manager designed for machine translation and automatic speech recogni- tion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:25.610234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f94f933d-e358-4e7f-bdc9-b6b8749cac7e · outbound

This paper cites Returnn: The RWTH extensible training framework for universal recurrent neural networks,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Returnn: The RWTH extensible training framework for universal recurrent neural networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:25.433225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5994d068-71f8-4371-8084-150dbf6c384d · outbound

This paper cites Memristive devices for computing,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Memristive devices for computing,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:25.273294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a1ace14-c7a9-44b8-ae61-61251442ba47 · outbound

This paper cites an unresolved cited work.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:25.111446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1f92886-780c-4c35-b807-0e0ec36fb2ce · outbound

This paper cites an unresolved cited work.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:24.926620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 729102a6-5d34-48d7-bf0a-165849bdbb98 · outbound

This paper cites Memristor-based hardware accelerators for artificial intel- ligence,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Memristor-based hardware accelerators for artificial intel- ligence,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:24.776256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e5ba338-4a11-4934-a777-bd28e53d1f83 · outbound

This paper cites Scaling limits of memristor-based routers for asynchronous neuromorphic systems,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Scaling limits of memristor-based routers for asynchronous neuromorphic systems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:24.630565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c4a7fb9-e678-4469-a7cc-d2ba3442196f · outbound

This paper cites Gulati, C.-C.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Gulati, C.-C

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:24.439993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 32df37e3-32d1-4282-a3d2-7ae9f73b58cb · outbound

This paper cites Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:24.298139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a03ceee-731a-4013-b8da-40429797ddba · outbound

This paper cites End-to-end speech recognition: A survey,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach End-to-end speech recognition: A survey,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:24.129169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02c6d61e-550a-48ac-a365-1b3cba3a2bd6 · outbound

This paper cites Flashlight: Enabling inno- vation in tools for machine learning,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Flashlight: Enabling inno- vation in tools for machine learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:23.996185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f002aa40-f0a9-4ee4-9945-91aad9fa22cb · outbound

This paper cites KenLM: Faster and smaller language model queries,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach KenLM: Faster and smaller language model queries,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:23.833826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3e0651d-26ac-4e79-a63c-37a1e51a9abc · outbound

This paper cites A survey of quantization methods for efficient neural network inference,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach A survey of quantization methods for efficient neural network inference,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:23.663998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 343972cb-7efa-409e-893d-171ffafcc3ad · outbound

This paper cites On the variance of the adaptive learning rate and beyond,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach On the variance of the adaptive learning rate and beyond,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:23.478454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c196ef5-1f9c-4926-b9f9-e6c7d9e4689f · outbound

This paper cites Sequence Transduction with Recurrent Neural Net- works,.

Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Sequence Transduction with Recurrent Neural Net- works,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:23.252429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 60760cc5-fa9a-46f8-b817-9506956591f5 · inbound