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Paper Citation Record · LEDGER

Towards Operational Conversational Intelligence: A Speech Intelligence Framework

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.24958.

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

pith.paper-citation-record.v1
2607.24958 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T04:58:41.538734Z

measured 37 of 37 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 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

37 of 37 outbound references displayed

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  • unresolved37
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4510e381-acce-40f3-ae98-5a168c65fab1 · outbound

This paper cites Body-worn cameras in law enforcement agencies, 2016,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Body-worn cameras in law enforcement agencies, 2016,

Reference 1

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source=pdf_text observed=2026-07-31T04:58:41.302688Z digest=sha256:c8eed561a51a7c3e8b92cefcfeee64f0665d8231a1cbec198e47c19b88548863

Observation dda75e96-8192-4d2c-aeeb-165db58da86d · outbound

This paper cites Video data analysis and police body-worn camera footage,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Video data analysis and police body-worn camera footage,

Reference 2

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source=pdf_text observed=2026-07-31T04:58:41.314241Z digest=sha256:7c7f1efa5a84741aa16376abc1401c3f6eb8bf83a63bdf1e308cdbcc7ff780ed

Observation b71c0b15-0c22-4a1c-a8eb-fbabd4e99953 · outbound

This paper cites Video data analysis and police body-worn camera footage,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Video data analysis and police body-worn camera footage,

Reference 3

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source=pdf_text observed=2026-07-31T04:58:41.319862Z digest=sha256:d7391e3dd4d4e84682c0ca248508841d88cebc5f39439e59dbc1f467568b1826

Observation 97c24f1d-d31b-4a89-9c85-00f50f64f751 · outbound

This paper cites An investigation into the reliability of speaker recognition schemes: Analysing the impact of environmental factors utilising deep learning techniques,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework An investigation into the reliability of speaker recognition schemes: Analysing the impact of environmental factors utilising deep learning techniques,

Reference 4

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source=pdf_text observed=2026-07-31T04:58:41.325522Z digest=sha256:d842c279f35dce0ed48f229a5fa5480c436ee363e4c20dc2a77224b1777f0f5e

Observation 64679ce2-890a-4713-ba31-101eddee0b22 · outbound

This paper cites Physical task stress and speaker variability in voice quality,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Physical task stress and speaker variability in voice quality,

Reference 5

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source=pdf_text observed=2026-07-31T04:58:41.330917Z digest=sha256:948353782b907228d182fcf448b3749defd9dd3866679acb1845300d6d8a0d4d

Observation 20a1f1ed-db65-4881-ae2f-0ea6b17e66aa · outbound

This paper cites Impact of overlapping speech detection on speaker diarization for broadcast news and debates,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Impact of overlapping speech detection on speaker diarization for broadcast news and debates,

Reference 6

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source=pdf_text observed=2026-07-31T04:58:41.337288Z digest=sha256:f50b29cd325c5bccf2ae4a4b488b2fbe8e67b9fcac3e29e7d4d09ec204676a06

Observation 3afa6fb3-9bd2-44a6-96c5-a7edd137f9ff · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Robust Speech Recognition via Large-Scale Weak Supervision

Reference 7

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source=pdf_text observed=2026-07-31T04:58:41.343197Z digest=sha256:56bb7073a39bc623ea124b7c279c1dc3e2159fde0ce539e571983951cbabd953

Observation 2ffebcee-a083-465c-b668-4b9316d0cfd0 · outbound

This paper cites Whisperx: Time-accurate speech transcription of long-form audio,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Whisperx: Time-accurate speech transcription of long-form audio,

Reference 8

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source=pdf_text observed=2026-07-31T04:58:41.349031Z digest=sha256:ff4b2f899359f6c4880522fc594218098188ea9f361e435588b201a52faa55ec

Observation 5835671d-875b-4b65-809b-ffc25074774b · outbound

This paper cites pyannote.audio: Neural building blocks for speaker diarization,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework pyannote.audio: Neural building blocks for speaker diarization,

Reference 9

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source=pdf_text observed=2026-07-31T04:58:41.354624Z digest=sha256:504a2e04725d0c781c15e637b630145e462aa00f74c7a2aaf23d80558f5d3362

Observation 3d45766a-072a-4bf8-b30a-80ab245e71df · outbound

This paper cites Multi-scale speaker diarization with dynamic scale weighting,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Multi-scale speaker diarization with dynamic scale weighting,

Reference 10

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source=pdf_text observed=2026-07-31T04:58:41.361243Z digest=sha256:3343e6a1333236c3965667425bdd44f49dec06d49d0826c0f6cb8869abb0cc21

Observation cd036023-01ca-4829-b6b3-dcd0c2fba75e · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Librispeech: An asr corpus based on public domain audio books,

Reference 11

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source=pdf_text observed=2026-07-31T04:58:41.379864Z digest=sha256:c68d871bd7d1853379ee833c6bdec65e457482252f9184abbf7e58b70483142c

Observation 3f2ec713-285f-48ca-9a93-fbd72495be65 · outbound

This paper cites The ami meeting corpus: A pre-announcement,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework The ami meeting corpus: A pre-announcement,

Reference 12

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source=pdf_text observed=2026-07-31T04:58:41.400879Z digest=sha256:21c8275a474e93189654cd14d7c959bcf9ef4524bca6757c934f1edce171e064

Observation 42502f27-bc8d-4942-b193-92203339f43b · outbound

This paper cites Callhome american english speech,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Callhome american english speech,

Reference 13

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source=pdf_text observed=2026-07-31T04:58:41.406252Z digest=sha256:3343ab6c6d4d40601c2b444026d586e5b2b7da00a959b84b212976d3e4e715e9

Observation 367b3fa5-97ba-403d-a1a6-754c9d292b47 · outbound

This paper cites Spot the conversation: Speaker diarisation in the wild,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Spot the conversation: Speaker diarisation in the wild,

Reference 14

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source=pdf_text observed=2026-07-31T04:58:41.412602Z digest=sha256:ad402bb5445100510d3faa1afdacbe1eeeba1580197f5889e57e2ddc5d98e617

Observation c11e11eb-477c-4062-a6b1-021dd2f1eebe · outbound

This paper cites Aishell-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Aishell-4: An open source dataset for speech enhancement, separation, recognition and speaker diarization in conference scenario,

Reference 15

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source=pdf_text observed=2026-07-31T04:58:41.417949Z digest=sha256:2db8d3d8d5b32a8602d26f923b5cb15a7f1044be24767331333c64ecac2f04a2

Observation 65cf3f34-bfe6-437a-8efe-20e72b7db3d5 · outbound

This paper cites Iemocap: Interactive emotional dyadic motion capture database,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Iemocap: Interactive emotional dyadic motion capture database,

Reference 16

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source=pdf_text observed=2026-07-31T04:58:41.422912Z digest=sha256:c81070de4d3c8c792121f398414a4bdf46ae4a18a7055c933eac639f1b0fa277

Observation 39644239-3dee-4c24-99b8-5dd2e0bba7e6 · outbound

This paper cites Building naturalistic emotionally balanced speech corpus by retrieving emotional speech from existing podcast recordings,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Building naturalistic emotionally balanced speech corpus by retrieving emotional speech from existing podcast recordings,

Reference 17

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source=pdf_text observed=2026-07-31T04:58:41.428792Z digest=sha256:b0eafa47cddbbf9cb5dd33181bda49ed22374ba722957d1ee8a89dcd2d7716ea

Observation 9548a547-bf72-435e-926a-116f21a265f9 · outbound

This paper cites Meld: A multimodal multi-party dataset for emotion recognition in conversations,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Meld: A multimodal multi-party dataset for emotion recognition in conversations,

Reference 18

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source=pdf_text observed=2026-07-31T04:58:41.434198Z digest=sha256:e3f39b18cecfd0f5cf247cb587f75a6dcd5729e866b65b05786a7b847cde50bf

Observation 41e39dba-2b5e-489e-8ed4-1e221bad49d9 · outbound

This paper cites Body-worn camera video releases,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Body-worn camera video releases,

Reference 19

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source=pdf_text observed=2026-07-31T04:58:41.439182Z digest=sha256:a8b709a42c0e96c7d7dabe7d8fe78bf5638de039a759e3bd8d8545c1fd1bc9e9

Observation 6e1c7020-b163-4a29-a598-1a1abed2eb77 · outbound

This paper cites Deepfilternet: A low complexity speech enhancement framework for full-band audio based on deep filtering,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Deepfilternet: A low complexity speech enhancement framework for full-band audio based on deep filtering,

Reference 20

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source=pdf_text observed=2026-07-31T04:58:41.445906Z digest=sha256:58c77478827390a575ec13b912a4a27959bcae1b1f869da2a49669ea576b227a

Observation e04b4b77-0f9d-4c66-93f9-665f9f92ba1c · outbound

This paper cites Titanet: Neural model for speaker representation with 1d depth-wise separable convolutions and global context,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Titanet: Neural model for speaker representation with 1d depth-wise separable convolutions and global context,

Reference 21

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source=pdf_text observed=2026-07-31T04:58:41.450551Z digest=sha256:84f936bf65d701d34fbf4e300c848a8341b24e99b4a6bd39c01d3d5fc9f87474

Observation 6355a36e-80ef-4067-a838-4bb1fd7ea98d · outbound

This paper cites X-vectors: Robust dnn embeddings for speaker recognition,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework X-vectors: Robust dnn embeddings for speaker recognition,

Reference 22

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source=pdf_text observed=2026-07-31T04:58:41.455938Z digest=sha256:cf61c8ae3003dbee07fef39d1b67fb9209bceba17939d9bb87fd64cd01b9677d

Observation f5c1f010-5c95-4848-afc5-223ac00b27ec · outbound

This paper cites Recommendation itu-r bs.1770-4: Algorithms to measure audio programme loudness and true-peak audio level,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Recommendation itu-r bs.1770-4: Algorithms to measure audio programme loudness and true-peak audio level,

Reference 23

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source=pdf_text observed=2026-07-31T04:58:41.461146Z digest=sha256:cc6e26c850b9852d4e97a92b7f2fb40a76af0e3faa1ae5377a33d3b17ba210a6

Observation 16e9def6-cff3-4a48-9c69-9c76ff3e47d2 · outbound

This paper cites Diarizationlm: Speaker diarization post-processing with large language models,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Diarizationlm: Speaker diarization post-processing with large language models,

Reference 24

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source=pdf_text observed=2026-07-31T04:58:41.466629Z digest=sha256:8220c56d500f1b667aa2807fd81ff2b31a54622fe96bba6a8467e590c5627e67

Observation a71a34d6-2990-4c67-b139-9ae4bbb4992a · outbound

This paper cites Enhancing speaker diarization with large language models: A contextual beam search approach,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Enhancing speaker diarization with large language models: A contextual beam search approach,

Reference 25

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source=pdf_text observed=2026-07-31T04:58:41.473179Z digest=sha256:addaf79b2d876e963bcadf59430c8e6c5780ced6ccb25d8079270731437fa74c

Observation efb6de70-4a66-438d-bbef-ea6fe96ae56e · outbound

This paper cites The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models

Reference 26

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source=pdf_text observed=2026-07-31T04:58:41.478811Z digest=sha256:d570a9bc17ac1094c9e0820036284de2a2e6337ffa9dc7af68c75a20986eff3d

Observation 82a38aaa-88b7-43a7-99ae-995f753a9f92 · outbound

This paper cites Multi-view self-attention based transformer for speaker recognition,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Multi-view self-attention based transformer for speaker recognition,

Reference 27

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source=pdf_text observed=2026-07-31T04:58:41.484817Z digest=sha256:43847a18f8d415ab226876b4916f4f81114175adcb5b750efd527d781e8fdd5f

Observation 8b379c44-c05a-4605-9309-2d30dc137147 · outbound

This paper cites Ad- vancing speaker embedding learning: Wespeaker toolkit for research and production,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Ad- vancing speaker embedding learning: Wespeaker toolkit for research and production,

Reference 28

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source=pdf_text observed=2026-07-31T04:58:41.489860Z digest=sha256:981890e5143ec23aaa7486c94c46c5092f93d2bb29e74eb61a9ac99912434174

Observation 7c8d11fe-d88a-497b-9ca5-0eebf558a76b · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Arcface: Additive angular margin loss for deep face recognition,

Reference 29

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source=pdf_text observed=2026-07-31T04:58:41.494746Z digest=sha256:7f861d526ece9b5329415c275885d0c3eb71b35a4f598f1495735acc7fd17ac0

Observation 70367b78-c0bc-4ba8-b90f-92baa71c5aaa · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Facenet: A unified embedding for face recognition and clustering,

Reference 30

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source=pdf_text observed=2026-07-31T04:58:41.502200Z digest=sha256:12711aeef58da5e74571ee93901f67549895c85d97f73f3743fb7f96ad7119cf

Observation f539c00f-b479-4742-8b26-50319ead0d03 · outbound

This paper cites A discriminative feature learning approach for deep face recognition,.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework A discriminative feature learning approach for deep face recognition,

Reference 31

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source=pdf_text observed=2026-07-31T04:58:41.507943Z digest=sha256:8433d9cd38e09c0df26775408db6a1e6865eef72ae0062a473984e658b55743b

Observation 6b815c2b-1543-44a1-8c26-ec5f80a50b6a · outbound

This paper cites an unresolved cited work.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Unresolved cited work

Reference 33

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source=pdf_text observed=2026-07-31T04:58:41.513115Z digest=sha256:187602ddfe9e0fa42453b9e7b099bf15154fc9e8f39e29becd50893ce45c13be

Observation 7c266c75-8ca0-428d-a693-6eef971d9410 · outbound

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Towards Operational Conversational Intelligence: A Speech Intelligence Framework Unresolved cited work

Reference 34

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Observation 682ff1bf-6177-4cf3-89ea-db30d6dcac97 · outbound

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Towards Operational Conversational Intelligence: A Speech Intelligence Framework Unresolved cited work

Reference 35

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source=pdf_text observed=2026-07-31T04:58:41.525060Z digest=sha256:873d5315941e16b5837a25cdc1a2436d015002e99fb8ca5305fa631006cea7e5

Observation b9139a87-05ee-46b7-90e3-a9e1dd95c850 · outbound

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Towards Operational Conversational Intelligence: A Speech Intelligence Framework Unresolved cited work

Reference 36

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source=pdf_text observed=2026-07-31T04:58:41.531855Z digest=sha256:1e8cbe6f9c765c799e02365ff5870dda5d674c723fe7bc58ad582e8be2142954

Observation 2fd917c3-3ced-428f-81fd-ce7abea91f76 · outbound

This paper cites Full DeepFilterNet pipeline.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Full DeepFilterNet pipeline

Reference 37

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source=pdf_text observed=2026-07-31T04:58:41.538734Z digest=sha256:6680ee28f95466b7369b6331315afd7f4c1900ad6c1b52ef99725092bf20db82

Observation 988af0dc-5de1-42cf-9c1e-76b59e5a0d16 · outbound

This paper cites Available: https://bjs.ojp.gov/content/pub/pdf/bwclea16.pdf.

Towards Operational Conversational Intelligence: A Speech Intelligence Framework Available: https://bjs.ojp.gov/content/pub/pdf/bwclea16.pdf

Reference 2018

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Pith citing papers

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