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Paper Citation Record · LEDGER

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2510.09344.

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

pith.paper-citation-record.v1
2510.09344 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:37:11.117939Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:37:08.615920Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b72ca7e1-6e4e-4602-bf64-456bffff6e94 · outbound

This paper cites WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:37:08.615920Z digest=sha256:7db7017118228f25e55399c40eaa63ccc9f7ff20d91293bf61ae63dc111ed964

Observation 691439e9-20d8-49bc-97b2-13ab3dffcf58 · outbound

This paper cites 80 years old,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations 80 years old,

Reference 2

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source=pdf_text observed=2026-08-04T10:37:08.695540Z digest=sha256:b702afa68d9c233334286da4760da08280badf9ee18499fcd0f2f1ca9e781b14

Observation 21cfca24-c524-4bea-a00d-380225a36c46 · outbound

This paper cites Dataset Splits To ensure reproducibility, WildElder is divided into training, development, and test sets at the speaker level.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Dataset Splits To ensure reproducibility, WildElder is divided into training, development, and test sets at the speaker level

Reference 3

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source=pdf_text observed=2026-08-04T10:37:08.851532Z digest=sha256:e96c089d92815a3a56fa29f326f76dbb6aabeec1fcee597e43c839c666f38fda

Observation 87849240-e0e5-4022-bd94-81888d4a37bb · outbound

This paper cites an unresolved cited work.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-04T10:37:08.929265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:37:08.929265Z digest=sha256:1f1be39f1282dcff57dcd5cde3c736eb4bdb81d90299e6daf8ed880395bef8a2

Observation a89e54a7-79bb-42fb-aa39-6dd8312def48 · outbound

This paper cites The dataset provides broad demographic coverage, diverse acoustic conditions, and rich linguistic content, making it a realistic and challenging bench- mark.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations The dataset provides broad demographic coverage, diverse acoustic conditions, and rich linguistic content, making it a realistic and challenging bench- mark

Reference 5

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source=pdf_text observed=2026-08-04T10:37:09.025529Z digest=sha256:790abc379a9a130bec5dd898017aa2c7c8b22ba6e2af2605c7470748bf7415f4

Observation 9e5ebdba-a50f-4291-94ff-b40513915bf5 · outbound

This paper cites Aging population: chal- lenges and opportunities in a life course perspective,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Aging population: chal- lenges and opportunities in a life course perspective,

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:37:09.136413Z digest=sha256:c94dde6ab5b17e3104263be860466c42490f720f1d03d72d520139a190ea118e

Observation 77bd773d-879d-4f34-be01-1d1a6e9b4eb1 · outbound

This paper cites Temporal characteristics of speech: The effect of age and speech style,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Temporal characteristics of speech: The effect of age and speech style,

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:37:09.217550Z digest=sha256:d33aa5aa1eb6576932735bf9ac8f326dbd8297742def055383f29ccf6a9fe139

Observation 56976b54-290b-4df3-a423-bc3172c8e9cc · outbound

This paper cites Speech changes in old age: methodological con- siderations for speech-based discrimination of healthy ageing and alzheimer’s disease,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Speech changes in old age: methodological con- siderations for speech-based discrimination of healthy ageing and alzheimer’s disease,

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:37:09.401101Z digest=sha256:2d7fb76e5d135534232abe0a469045c1853ed716eaa0c4090933c87e0ef5da60

Observation 3cc3f4c0-a208-4a7c-a555-97f632f4b604 · outbound

This paper cites Ex- ploring self-supervised pre-trained asr models for dysarthric and elderly speech recognition,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Ex- ploring self-supervised pre-trained asr models for dysarthric and elderly speech recognition,

Reference 9

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source=pdf_text observed=2026-08-04T10:37:09.533108Z digest=sha256:a80862088f923dafc314795ef677c3ff85c36aea2369e3184668d1428368b599

Observation ec8e183b-1437-4b38-a7bc-5d60a279ab46 · outbound

This paper cites Personalized adversarial data augmentation for dysarthric and elderly speech recogni- tion,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Personalized adversarial data augmentation for dysarthric and elderly speech recogni- tion,

Reference 10

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source=pdf_text observed=2026-08-04T10:37:09.666007Z digest=sha256:b3fc5a650f430a005d51fd77dc467af85ab0af33f36158457a9df3c346fda4f3

Observation 5de5c05d-dace-47d7-8f84-57f8edbce0f1 · outbound

This paper cites Self-supervised asr models and features for dysarthric and elderly speech recognition,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Self-supervised asr models and features for dysarthric and elderly speech recognition,

Reference 11

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source=pdf_text observed=2026-08-04T10:37:09.785537Z digest=sha256:13fb39c4e88f99ad703215e334c6d9e14914948adec108b032a2870240a82fea

Observation 38876840-c261-471a-a0d6-f62b5361333a · outbound

This paper cites Towards the speech features of early-stage dementia: Design and application of the mandarin elderly cognitive speech database.,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Towards the speech features of early-stage dementia: Design and application of the mandarin elderly cognitive speech database.,

Reference 12

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source=pdf_text observed=2026-08-04T10:37:09.903898Z digest=sha256:7ca9410c734e22492a9d92471487c11a949d30fac1e459be5e49facf80387466

Observation 240374b2-b75b-4f2c-8951-4addf1046750 · outbound

This paper cites Seniortalk: A chinese conversation dataset with rich annotations for super-aged seniors,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Seniortalk: A chinese conversation dataset with rich annotations for super-aged seniors,

Reference 13

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source=pdf_text observed=2026-08-04T10:37:10.015268Z digest=sha256:eb1a231dd37d2f7cceeab9c58db8c78da126346c26b93aaf857dcaa749176585

Observation 212c538a-12d6-439d-860b-97fe3e7d9a5c · outbound

This paper cites Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,

Reference 14

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source=pdf_text observed=2026-08-04T10:37:10.129511Z digest=sha256:e2fe680bac0ee52136c32e75ac403a61ae25450e297e7c415c0c587e32d967dd

Observation 7504a4f7-01d8-4c5a-8f48-85cf8cec0b25 · outbound

This paper cites Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation,

Reference 15

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source=pdf_text observed=2026-08-04T10:37:10.243996Z digest=sha256:3943302c5f57563c8e91be3625de2586779b90a23ac11a8acbd9c086f8553be6

Observation 328d84b6-5e21-49f1-9e21-2122f49c9f7f · outbound

This paper cites Gigaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Gigaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio,

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:37:10.361195Z digest=sha256:125b8b789eb6c53b14d2aa73096f09abf12bb21344b0a50efa5a901f5c1157f9

Observation 60fa4636-7ad1-414b-9247-6176ffdbc3f2 · outbound

This paper cites GigaSpeech 2: An evolving, large-scale and multi-domain ASR corpus for low-resource languages with automated crawling, transcription and refine- ment,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations GigaSpeech 2: An evolving, large-scale and multi-domain ASR corpus for low-resource languages with automated crawling, transcription and refine- ment,

Reference 17

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source=pdf_text observed=2026-08-04T10:37:10.466188Z digest=sha256:06f5dc1ea00ba2ad21cf6db6f46981352f3053fd4e26ef9dcbf195db91f2fe63

Observation 9ba67aae-634d-4fcb-81eb-ffed2b7eae79 · outbound

This paper cites WenetSpeech-Yue: A Large-scale Cantonese Speech Corpus with Multi-dimensional Annotation.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations WenetSpeech-Yue: A Large-scale Cantonese Speech Corpus with Multi-dimensional Annotation

Reference 18

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Observation a203492a-f8ad-46c5-8731-90ae8e6cde20 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Conformer: Convolution-augmented transformer for speech recognition,

Reference 19

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source=pdf_text observed=2026-08-04T10:37:10.709419Z digest=sha256:3dfc25f520f0de074f5a6387f03ec9d877a4229bbd115ff90e3f0625f2390a77

Observation 9b3ea2d3-5708-4035-9652-2db157760a1c · outbound

This paper cites Branchformer: Parallel mlp-attention architectures to capture local and global context for speech recognition and understand- ing,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Branchformer: Parallel mlp-attention architectures to capture local and global context for speech recognition and understand- ing,

Reference 20

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source=pdf_text observed=2026-08-04T10:37:10.864610Z digest=sha256:1d4c5a25d5c34359f5671dc24e4266b14e8b92a544c3789c2ac7732e076bcadd

Observation 2d732d1c-0421-4e05-bd05-e5a24f437c38 · outbound

This paper cites Paraformer: Fast and accurate parallel transformer for non- autoregressive end-to-end speech recognition,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Paraformer: Fast and accurate parallel transformer for non- autoregressive end-to-end speech recognition,

Reference 21

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source=pdf_text observed=2026-08-04T10:37:11.017343Z digest=sha256:d005ead1e4fc9a2dc177d141aa22dd5f264cad0686426887e54d8fc2e180d462

Observation bba12f84-3b56-4931-82de-7f63160c02ad · outbound

This paper cites Robust speech recognition via large-scale weak supervision,.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations Robust speech recognition via large-scale weak supervision,

Reference 22

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source=pdf_text observed=2026-08-04T10:37:11.117939Z digest=sha256:6fc28f321ce3db26fdfb362486e709997aec1df69641374da19621d9e57800ce

Pith citing papers

Observation b72ca7e1-6e4e-4602-bf64-456bffff6e94 · inbound

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations cites this paper.

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations

Reference 1

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source=pdf_text observed=2026-08-04T10:37:08.615920Z digest=sha256:7db7017118228f25e55399c40eaa63ccc9f7ff20d91293bf61ae63dc111ed964