Paper Citation Record · LEDGER

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 5 inbound Pith citation observations for arXiv:2412.00265.

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

pith.paper-citation-record.v1
2412.00265 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:38:52.776117Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:20.924375Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:52:42.244532Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy8
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f5c8314-bbe9-4a81-a4d7-f825b5eac8c6 · outbound

This paper cites Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T05:38:52.683006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3f55e1-c979-41c4-8436-fb8231b5f687 · outbound

This paper cites For instance, in ˆH2, we observe a sequence of upper lip elevation, lower lip elevation, and finally, tongue dorsum elevation.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies For instance, in ˆH2, we observe a sequence of upper lip elevation, lower lip elevation, and finally, tongue dorsum elevation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:53.133317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26ca37eb-4a74-4574-bade-863b7f6c8242 · outbound

This paper cites word": "<word>.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies word": "<word>

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:53.083317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6f7298c-a5fc-4dba-8ac7-9be6ef0f32b5 · outbound

This paper cites word": "Hello.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies word": "Hello

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:53.017862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 072ec45b-5bbb-4a3c-9264-8f5d334baa86 · outbound

This paper cites an unresolved cited work.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:38:53.116084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f518cf7-da55-416b-a5ba-3eba14a4ae5a · outbound

This paper cites an unresolved cited work.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:38:53.100084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c39445cd-4cdc-407d-a638-e839f1b0a5ac · outbound

This paper cites an unresolved cited work.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:38:53.067380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 775c1a0e-fa99-42dd-822f-5e2d701e58bf · outbound

This paper cites an unresolved cited work.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:38:53.051530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6829a6cb-11f5-4df0-a4ee-c71ad6731b01 · outbound

This paper cites an unresolved cited work.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:38:53.035050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5bc55373-a9e3-466c-9236-1e4dddd3375e · outbound

This paper cites an unresolved cited work.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:38:52.983114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d3bb387-3e67-423c-9435-707cc257054d · outbound

This paper cites an unresolved cited work.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:38:52.964814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7085cb48-d9eb-431e-9a36-9fd8f133a700 · outbound

This paper cites • Set has dysfluency to 0 if no entry is generated.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies • Set has dysfluency to 0 if no entry is generated

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:52.946024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 120f7a9d-3f1e-4b9a-9347-cda024e9e6cf · outbound

This paper cites word": "I.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies word": "I

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:52.927836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f9c8be5-dc25-478b-ac54-70c4ded3a064 · outbound

This paper cites has_dysfluency.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies has_dysfluency

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:52.909620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c9799ae-f462-4a8a-b08d-2bb7334b15cd · outbound

This paper cites The current mainstream methods treat this problem as a time-based object detection task (Lian et al., 2023c; Lian & Anumanchipalli, 2024; Zhou et al., 2024b;a; Lian et al., 2024).

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies The current mainstream methods treat this problem as a time-based object detection task (Lian et al., 2023c; Lian & Anumanchipalli, 2024; Zhou et al., 2024b;a; Lian et al., 2024)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:52.876599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efd6abfd-cd2d-4750-be9e-c12f9cb61470 · outbound

This paper cites word": "<word>.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies word": "<word>

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:38:53.000341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1122258b-5a95-4369-854e-f7d39ae76c51 · outbound

This paper cites Coding Speech through Vocal Tract Kinematics.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Coding Speech through Vocal Tract Kinematics

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-12T05:38:52.665262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a10e22-b056-482c-86ac-bee8bc1bc36d · outbound

This paper cites Unsupervised TTS Acoustic Modeling for TTS with Conditional Disentangled Sequential VAE.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies Unsupervised TTS Acoustic Modeling for TTS with Conditional Disentangled Sequential VAE

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T05:38:52.841536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0104c436-4e44-4e6d-9887-a369f5cce865 · outbound

This paper cites VCTK includes speech data uttered by 109 native speakers of English with various accents.

SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies VCTK includes speech data uttered by 109 native speakers of English with various accents

Reference 2024

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T05:38:52.892668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 6ad04381-2d1e-4e32-80e6-9805e4666fdc · inbound

Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection cites this paper.

Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:20.924375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e72374-bada-4d24-90a0-ed0d6b78a0a4 · inbound

Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection cites this paper.

Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:20.896344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6b3803-d98a-488f-8356-8ee8afb308da · inbound

Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis cites this paper.

Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:08.947796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02cb38b8-b50b-4f95-954f-51845d3705e2 · inbound

Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling cites this paper.

Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:11:25.165013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efa9ab3e-fc93-468d-9ff8-51ff24db52fe · inbound

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications cites this paper.

Revisiting Rule-Based Stuttering Detection: A Comprehensive Analysis of Interpretable Models for Clinical Applications SSDM 2.0: Time-Accurate Speech Rich Transcription with Non-Fluencies

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:52:42.332945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.