Pith. sign in

Paper Citation Record · LEDGER

SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.10950.

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

pith.paper-citation-record.v1
2502.10950 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T21:34:30.078813Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T23:06:52.954829Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 16dab0bf-9c75-4bae-b0b3-6132c8998b5d · inbound

AI Models for Depressive Disorder Detection and Diagnosis: A Review cites this paper.

AI Models for Depressive Disorder Detection and Diagnosis: A Review SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:06:52.957943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T23:06:01.107830Z digest=sha256:717da28e72993819394b0bf17c12b5d70082a378cb2f1e4a0c980128422f5b25

Observation 57e92937-36c0-4f39-a524-62fb63026796 · inbound

VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing cites this paper.

VERITAS: A Multi-Agent Co-Scientist for Verifiable Image-Derived Hypothesis Testing SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-12T21:34:30.078813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T21:34:30.078813Z digest=sha256:db701d1043db5f7187141b2f5a75f7b7a4e8d579d014281a169c7c1319b95b49

Observation c44f50c6-da45-4a2a-b329-1af79955cb49 · inbound

Why Your Tokenizer Fails in Information Fusion: A Timing-Aware Pre-Quantization Fusion for Video-Enhanced Audio Tokenization cites this paper.

Why Your Tokenizer Fails in Information Fusion: A Timing-Aware Pre-Quantization Fusion for Video-Enhanced Audio Tokenization SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:31:01.913220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T14:49:51.481873Z digest=sha256:d8de808410013612ebb099e148f5d52a1f45e615b62cd4a48e9470b50f75480c

Observation c51d7163-f1a1-4b76-8b64-70a70d5378b9 · inbound

Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary Investigation in Multi-Modality Perspectives cites this paper.

Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary Investigation in Multi-Modality Perspectives SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T00:15:26.685663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:15:26.685663Z digest=sha256:9c0a4663232667c930e86f95a0c20fb2dfc64df2e4077dc4cd7e50e63ca6e417