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Paper Citation Record · LEDGER

Synthetic Data Generation with LLM for Improved Depression Prediction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.17672.

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

pith.paper-citation-record.v1
2411.17672 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:36:37.836330Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 73235e5d-c624-4463-86ec-c2129a611b57 · inbound

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey cites this paper.

Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 182

Resolution
unresolved
no resolver link, observed 2026-08-10T04:36:37.836330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:36:37.836330Z digest=sha256:9affc3c4ce85405e01d89631da35e31fe618fa4419b749c8b2325412c33f2a2b

Observation 3741ad26-b996-4766-92b1-8ee5b20d8281 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:53.032102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:53.032102Z digest=sha256:5cc302506fa121e0aa323a090e94e28d19307c5c486e1c3e19755f54210a9c34

Observation 86b13bbf-fe94-4294-8a33-7bacd3cc55b9 · inbound

Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data cites this paper.

Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:05:37.548832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:05:37.548832Z digest=sha256:994c12929449f2fe6c4c585097e19c119a2a9e28ddf7e8941a942745ce47c3e0

Observation 55fe6957-2619-4f8d-acfa-dbdea051e561 · inbound

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data cites this paper.

Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:10.748677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T08:10:21.640857Z digest=sha256:95489770033e07917f02e0036f26a687c61400806e7e5abd9d4250b69490a5c2

Observation ce55896c-59c7-4f56-a0e0-0cdc10bb912c · inbound

VERA-MH: Validation of Ethical and Responsible AI in Mental Health cites this paper.

VERA-MH: Validation of Ethical and Responsible AI in Mental Health Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:17:50.603657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T19:15:24.489198Z digest=sha256:e58718668315c53772653756185585d2227efe19e24d2511ed852b1c30c3a68d

Observation ca16cec9-6c21-4cef-b1fb-115851158b83 · inbound

VERA-MH: Validation of Ethical and Responsible AI in Mental Health cites this paper.

VERA-MH: Validation of Ethical and Responsible AI in Mental Health Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:59:06.265153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T21:55:58.205161Z digest=sha256:e5642f5b493c1baf67444efed9432f997cc980d83dd9c189f667b4b84fc58bc3

Observation c63aea74-35fe-4acf-bcaf-ed0b99dbbbdd · inbound

Creating Multilingual Mental Health Dialogue Datasets: Limits of Persona-Based Localization via Nationality and Language cites this paper.

Creating Multilingual Mental Health Dialogue Datasets: Limits of Persona-Based Localization via Nationality and Language Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-26T20:29:57.616514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T20:27:41.561992Z digest=sha256:58ddc4d22e3a4c5a58fdd1af862db72d5cd77d602c63b6a184181acd223f1276

Observation 2061bb0a-aff5-4dda-a5c7-d95dd5d014d3 · inbound

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies cites this paper.

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies Synthetic Data Generation with LLM for Improved Depression Prediction

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T19:41:11.145335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:41:11.145335Z digest=sha256:706f2f953f3c2130bf4a46c873c37557c38c2603976c3f02d9aa41b34d3e5d71