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Paper Citation Record · LEDGER

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2505.01998.

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

pith.paper-citation-record.v1
2505.01998 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:08:24.358190Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:32.146332Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:24:14.034963Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3fabb96-1374-4d69-989e-967b41bff5b9 · outbound

This paper cites Rabiner and B.-H.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Rabiner and B.-H

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.671478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:23.964509Z digest=sha256:edc80a6f170212408577477e3ed6fb7c04f7990d2390b68809fc17e00b5d9548

Observation 43b42143-c788-40ca-85b6-61a3b80aacbc · outbound

This paper cites Nonlinear acoustics in china,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Nonlinear acoustics in china,

Reference 2

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no resolver link, observed 2026-08-16T04:08:23.970608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:23.970608Z digest=sha256:b4677a0fecc46bf2506546ca5e7f6d36e2eacbc2393cc98a05ff4f90140b733d

Observation bd86ba45-440f-4916-8070-7a56a9f60331 · outbound

This paper cites Multi-microphone speechrecognitionintegratingbeamforming, robustfeatureextraction, andadvanceddnn/rnnbackend,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Multi-microphone speechrecognitionintegratingbeamforming, robustfeatureextraction, andadvanceddnn/rnnbackend,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.513964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:23.976508Z digest=sha256:62c95d3c83659b205ce138a863426c03e62596de0a4e2154cc9bccc6aa433026

Observation 266f9261-d690-43e2-980f-fe4c9a0cd1db · outbound

This paper cites Deep learning,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Deep learning,

Reference 4

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no resolver link, observed 2026-08-16T04:08:23.982740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:23.982740Z digest=sha256:b023058171f389b1acbe9b8c8432e7fb8f0f4719fcd76ddbf2f7fbd6471677f0

Observation 037588c3-a8b4-40bf-b29b-df803911db7e · outbound

This paper cites Speech recognition with deep recurrent neural networks,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Speech recognition with deep recurrent neural networks,

Reference 5

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no resolver link, observed 2026-08-16T04:08:24.032299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:24.032299Z digest=sha256:717d994108ee65d3d1ca83d42f71acae787b1027471322ab5219204dcdc439bf

Observation be86c712-11d7-4fa4-bf2f-823b91f013e4 · outbound

This paper cites A survey on deep reinforcement learning for audio-based applications,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction A survey on deep reinforcement learning for audio-based applications,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.389530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.075380Z digest=sha256:ab0b3dbe25cb7f3eae5a3ba7b4a0b62ef41fe98620d739230749f8635c1fcc24

Observation 8bec7e77-06fd-45f1-b809-77f5c0754444 · outbound

This paper cites The foundation of modern acoustic theory,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction The foundation of modern acoustic theory,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.368032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.123684Z digest=sha256:f4e14c53ac45a2bab7ba956ccd33b18e2d2ae1a9df78116facfb1b3699d74b16

Observation 5d4faaa3-58a1-4fcd-b58f-986af4d5b70f · outbound

This paper cites Deep clustering: Discriminative embeddings for segmentation and separation,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Deep clustering: Discriminative embeddings for segmentation and separation,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.343730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.140197Z digest=sha256:1c34feab6d0d0c4c5f738fd4cdba4a0a790c39efd874aa3434a08031a3dfb9c7

Observation 22404a85-152f-420c-89bf-c8fa9852fd7d · outbound

This paper cites an unresolved cited work.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Unresolved cited work

Reference 9

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unresolved
no resolver link, observed 2026-08-16T04:08:24.145741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:24.145741Z digest=sha256:d8e2386b2dd9c0cac269c5d6954c054698ab22c8881ca4139292298bf8803f9c

Observation ceaf1cb6-3d68-4b28-a860-adcc06795236 · outbound

This paper cites High speed fir digital filtering on gpu,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction High speed fir digital filtering on gpu,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.196651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.151064Z digest=sha256:0e9dc728182d1ec4e45c6cfd533b1b04d554b3833665ae7d50c03a53212c6109

Observation 73532de9-eaa0-4e47-95b8-86de835abe1e · outbound

This paper cites Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs).

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs)

Reference 11

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verified exact
local_arxiv, observed 2026-08-16T04:08:24.556270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.157212Z digest=sha256:2e6501cb23bfeca427907d1019e0c68c231b01c5375b54b291f12a49342fd47a

Observation 382c4669-294e-48c3-aa9a-b801ebbb5e00 · outbound

This paper cites Far-field automatic speech recognition,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Far-field automatic speech recognition,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.114171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.163145Z digest=sha256:4419840bcbf1cbc5f6e60edd39e325e8225ced07eb8c76000c11996b2ef27d13

Observation c0859cbd-432b-4f3c-b323-7770cf29633b · outbound

This paper cites Multi-modal human–environment interaction,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Multi-modal human–environment interaction,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.092993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.168685Z digest=sha256:e05d11634ee909f34df252ac116ddbada02054e1c06c26354fd6adb4258c27a4

Observation 5cbdb6bd-bfba-4191-ab31-30ce28259fd1 · outbound

This paper cites an unresolved cited work.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-16T04:08:24.179811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:24.179811Z digest=sha256:8285983a02521382f3ae0a79dc7080e81b9e11e42d52d3808eafb8dc5f874f0b

Observation abbe6d63-84fe-44d5-a85d-81c00acc80ff · outbound

This paper cites Supervisedspeechseparationbasedondeeplearning: Anoverview,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Supervisedspeechseparationbasedondeeplearning: Anoverview,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:25.046176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.185142Z digest=sha256:879161438f6fca3c34df9e0add50eea5237b2ca825143326e5c7f134ec2ec5ec

Observation 486dd98d-19a8-4b9c-83e9-28c20c84b0a5 · outbound

This paper cites A hybrid dsp/deep learning approach to real-time full-band speech enhancement,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction A hybrid dsp/deep learning approach to real-time full-band speech enhancement,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:24.964282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.191163Z digest=sha256:6dbc7c7dabd33e07b638cdffb31b79326d291c19c0709d0c3b2a75836b0a3116

Observation a7e8e00c-b14f-4d8c-bf44-6dce2a3e6597 · outbound

This paper cites Benesty, J.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Benesty, J

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-16T04:08:24.892210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.196271Z digest=sha256:fb58d57f68c5a431b1670a0d2d9c03f6c4c6e3323bb656e83d19dde6f05d5989

Observation e6a96a6a-6cbb-4a63-8aeb-e194d94c818b · outbound

This paper cites FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction FireRedASR: Open-Source Industrial-Grade Mandarin Speech Recognition Models from Encoder-Decoder to LLM Integration

Reference 18

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no resolver link, observed 2026-08-16T04:08:24.201425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:24.201425Z digest=sha256:5d764410ea3dda5c7e5284a6e89438aaa19f6fcec8f890bd5409fffd064ae8cb

Observation 0aedd05f-775c-4308-999b-78c33a7e45a3 · outbound

This paper cites Kimi-Audio Technical Report.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Kimi-Audio Technical Report

Reference 19

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unresolved
no resolver link, observed 2026-08-16T04:08:24.207002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:24.207002Z digest=sha256:8b5e5a40e836487226a67970780c2b3f01ed0f4d572ed612e84178d2d029224e

Observation 81a87bd1-a542-468b-b964-8eae87988eba · outbound

This paper cites FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs

Reference 20

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unresolved
no resolver link, observed 2026-08-16T04:08:24.240006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:24.240006Z digest=sha256:88d9e38c9fb89663282ca3dbf5c6deb1b16833e8b622142533e84b54657d5ea3

Observation a6baf30b-227a-4c82-85d4-7a0eaacee85f · outbound

This paper cites Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition

Reference 21

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no resolver link, observed 2026-08-16T04:08:24.290299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:24.290299Z digest=sha256:a0ebe6285c3a75824b635ec34081d7891c2ba6e9557517a75c29d6d5b7a9bd6f

Observation 31b92974-a8ed-456b-a422-eb0e88d03682 · outbound

This paper cites Robustspeechrecognition via large-scale weak supervision,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Robustspeechrecognition via large-scale weak supervision,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:24.869138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.320759Z digest=sha256:73160ecafb0542ef6a07a0b1f54fff2ab79fd0b2f4fa2e05145f230701c596a9

Observation 57018825-d84f-4c66-9a76-5bbd8bf25dc3 · outbound

This paper cites Scaling speech technology to 1,000+ languages,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Scaling speech technology to 1,000+ languages,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:24.842069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.326324Z digest=sha256:1d9a6e61715113042a73b7b76727e36806623937f3da7372558f27bc34da287f

Observation 92cf6f11-3813-4d7e-9bfa-58b11bd94cd0 · outbound

This paper cites Geriatric audiology,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Geriatric audiology,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:24.748919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.331694Z digest=sha256:fca72a3502fdae2d1408c2a526774b9d88583647f75eed363ad8d5f87943deb0

Observation 6160ae37-55d0-4e1e-bc35-01d109c2eac5 · outbound

This paper cites Adeeplearningsolutiontothemarginalstabilityproblems of acoustic feedback systems for hearing aids,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Adeeplearningsolutiontothemarginalstabilityproblems of acoustic feedback systems for hearing aids,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:24.655910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.336656Z digest=sha256:4c2ba4bd2bbd40c844ccd64f8c0da6b3aeee2d14415035ee858d666c405d8fab

Observation 7ad4cf55-807f-413f-885a-2a0444b3087a · outbound

This paper cites Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Multi-Modal Data Fusion in Enhancing Human-Machine Interaction for Robotic Applications: A Survey

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T04:08:24.345187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:08:24.345187Z digest=sha256:309607636e04693bd58b88c677f0a3e582f581c5e968a80eccb864240f2f67f0

Observation 4d3aa46d-9705-484a-a876-d468e68d34cf · outbound

This paper cites Schalk and J.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Schalk and J

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:24.608035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.351029Z digest=sha256:a47853b261189c4ed5f0f46a0362bc8848e095cf59804b634f5eb9d1c2f3d9a1

Observation 946454e0-50cf-41ed-8fff-44f16d0f52fa · outbound

This paper cites Brain-computer interface: applications to speech decoding and synthesis to augment communication,.

A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction Brain-computer interface: applications to speech decoding and synthesis to augment communication,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:08:24.577444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T04:08:24.358190Z digest=sha256:e35a5d4aaadc4763c1e1a012aa60bf9ec74c9345ed66fdfa7897b757f379a616

Pith citing papers

Observation caf7d121-79f5-4091-ba15-ede7afe092e2 · inbound

A Survey on World Models Grounded in Acoustic Physical Information cites this paper.

A Survey on World Models Grounded in Acoustic Physical Information A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction

Reference 44

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unresolved
no resolver link, observed 2026-08-07T00:43:32.146332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:43:32.146332Z digest=sha256:3aa33bc215639eba83e965a78864334e46113fdbe776210c9e910f62dbc5a6da

Observation 2aa3e32e-e38f-430d-9f71-0bb913eec21d · inbound

The Sound of Risk: A Multimodal Physics-Informed Acoustic Model for Forecasting Market Volatility and Enhancing Market Interpretability cites this paper.

The Sound of Risk: A Multimodal Physics-Informed Acoustic Model for Forecasting Market Volatility and Enhancing Market Interpretability A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:24:14.038641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T16:24:13.921907Z digest=sha256:cd1c7cc76232df6a5617422b7c650d57b8e75579c37b7a62a4b9f138ea1b4159