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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:18.663453Z digest=sha256:25fd5979c7c8c6308ac9b7aae8fe4c5d99b3b21f300b8f36a4bef4973fd09a67

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:18.745115Z digest=sha256:9ec2467afefea6fb93f8a9fc497b9127e2d6d75d4db2e87275b0d5ca4d67c220

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:18.820831Z digest=sha256:e816880ca22ef98fd5918f7991ebfa31dc5a96991c3521e26facd52cb721e842

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:18.901207Z digest=sha256:92ef9adc702fa140748fb41ba1ebd808877af4a5f659365004c553f07ec08d64

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:18.983906Z digest=sha256:38f7fe0479642e0a16c157489282a2b74e4722053ff4b865a71cd3ff50e122b6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.023576Z digest=sha256:1421de79a432877b01f5023646f9dca08b06957807eb489f8c202a5d3516a19d

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.118621Z digest=sha256:1bcf0be932bb4ef962ad82ee1d8d95504e8770f566923acc6acbcf02c58cfeb8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.222744Z digest=sha256:4a2b9c9e57d1f0e2011dc449f9d75551946bea08d6d7b4929aa8ddc990be768c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.295253Z digest=sha256:86cb10d6a5d46b110682a437a249d47178500d22f8ebff6d51ff5c756e704358

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.374983Z digest=sha256:04e5e16cbe3394a4e16c9c32a28a438f81e1fa3fd382cf85472dff261b6993f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.456009Z digest=sha256:5ce144d94eced2b48044367481b7f9d2241c01cc3565e019d5f9732e07e32a5d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.560876Z digest=sha256:3bcbac1aa914a455d3ce53f8841462a837ba87e2f956c285ac0e45e95542fae2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.671633Z digest=sha256:3271a7b14181a48a49cc314ad8144268f529866b234b6bc7b024a7f238f34470

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.781862Z digest=sha256:421dabc1b5fa0ab27c7d6424f792ff6759ad2e1d987f3603f2e64c578aeb286a

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
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:19.891946Z digest=sha256:fdcfb3301e4e9dc8522910b4702ae1d655dbf174998bf425af10139af549f133

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:20.005186Z digest=sha256:242dd7f0d98be304f61973881bbf172c346b161cae1ea524527a146f73bc1c35

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:20.233257Z digest=sha256:a8ddb7812d7a1fcfe38463e12e9c23ee45ab998d20b90b97ea4ea1ae8e36dc22

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
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:20.343814Z digest=sha256:8de127f0af82caf7acb94b1ed988aa8e12fc70362a88b94a9a4ea5f489431738

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:20.427198Z digest=sha256:5a0cef0ad262186158efa818021887c59312f23655ecac1f921d41874e6c5f58

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:22:20.515913Z digest=sha256:f3672d56cefbc4ddf8d11af17b8fa17683f88e77b09e1c42d909d7ab0e1edf66

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.

source=pdf_text observed=2026-08-07T12:22:20.633873Z digest=sha256:761902d4bfb898d63553138dbcdbc7c33c6c02d3be591340d51648f8538a482b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:20.777916Z digest=sha256:cea44d7a15d033d62a9a24cb0a650fdaa0e3bb3ce61e4752df4281a2d6817c62

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:21.140111Z digest=sha256:d7c5c6e414677b1dea65f81efa72c01f62f50bc1e51caf492572d953c23b5fb4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:21.252246Z digest=sha256:1e7a7ff7076e262dda9dc7fe7e4c217117ec1eaec47f0153bb7539903c5c18c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:21.393323Z digest=sha256:59f552d372dafd12801232dd83b8f76419f0ab92ec9cb6f15a2269098c3d4906

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:21.557169Z digest=sha256:6ebeca7228b9cf5e71be6b0c5bd5b4c9f892ec6aade8b4df5158148c3b9ec5c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:21.685139Z digest=sha256:6af9a61e438792fd00f2382153ceaf2719cce6cee76220f3f2d97a50f4639f77

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:21.787233Z digest=sha256:06775ca08f8dc9b45438f9ad3ef386f7389a8eb67e23feeabc34f1c33b54e98d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:21.955329Z digest=sha256:47698388ed1fc106a48ecb627271acd5f6a16be06719552294d08321aa77d02f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:22.091856Z digest=sha256:7f3fc0aee1f15bd14f2da88fc5bc0cd5a10ed9658db6b3131f82a963d043d11e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:22.262548Z digest=sha256:db1b27aff7aa01f1d2479f357f35544602bfa3aee38374b541986165fee62c63

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:22.403479Z digest=sha256:c1fa0cc00bbda59ac68ecedf1b3aeae2c952a1078a29aeabb7147c7dabafe85c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:22.540532Z digest=sha256:370172ae852b85b157868d400806df10fffe0d9bbb38ac757b7a6e623e744d10

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:22.670568Z digest=sha256:34194f183e6e8a8993c17d5c029a7298af19ab2c005212560257a1ad337d587b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:22.779942Z digest=sha256:e4dd209691723973a8925359067ff61901ae801b1f3975129e807a3a6344c8ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:22.854782Z digest=sha256:1b9de545fcc0ce559ef327ebd8fdaee9afc001870f5c77f2a401aaffb5c01e92

Pith citing papers

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

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

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:22:18.587555Z digest=sha256:828d8aa6932fe868da5fe0abb3fad99633bb3fa658b7db09685d7728f9d33bce