Paper Citation Record · LEDGER

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 3 inbound Pith citation observations for arXiv:2505.14038.

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

pith.paper-citation-record.v1
2505.14038 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:44.721397Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:14:50.466835Z

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

13 of 13 outbound references displayed

verified exact0
verified fuzzy8
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b6b2e036-1c44-4763-b7a4-57af369d4feb · outbound

This paper cites what-if" scenarios to validate or refine causal insights (e.g.,.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data what-if" scenarios to validate or refine causal insights (e.g.,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.333907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 872d25bc-dae2-42d4-bf79-5c6409520d4e · outbound

This paper cites In 2020 IEEE 7th international conference on data science and advanced analytics (DSAA) , pages 747–.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data In 2020 IEEE 7th international conference on data science and advanced analytics (DSAA) , pages 747–

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:46.379499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 87c59c86-5a08-4689-ada8-4497b1a67437 · outbound

This paper cites We use a learn- ing rate warmup of 5 % of the total training steps, followed by cosine annealing of the learning rate, the maximum learning rate during this period is 5 × 10−5.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data We use a learn- ing rate warmup of 5 % of the total training steps, followed by cosine annealing of the learning rate, the maximum learning rate during this period is 5 × 10−5

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.992099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9120e07b-189e-4035-8171-362ccb346203 · outbound

This paper cites Does the poster suffer from depression?\.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data Does the poster suffer from depression?\

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.540772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4caa5fe5-69af-41ce-8cf4-92a9bf4ca486 · outbound

This paper cites mostly normal,.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data mostly normal,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.162758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0abfbf5c-5cca-4daa-81ec-76fc85d59701 · outbound

This paper cites MinerU: An Open-Source Solution for Precise Document Content Extraction.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 748

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:44.187043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 068db0c1-298a-43a5-997a-828c7653d4d5 · outbound

This paper cites Towards a Personal Health Large Language Model.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data Towards a Personal Health Large Language Model

Reference 1983

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:43.871432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e18b8c85-0157-4eee-8313-4fe3eafd88e3 · outbound

This paper cites Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting

Reference 1988

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:42:44.908048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48b0391d-30cf-47b8-8742-4b8a8feec991 · outbound

This paper cites To use more tensor cores, we train with mixed precision, where computation is done within the bfloat16 datatype.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data To use more tensor cores, we train with mixed precision, where computation is done within the bfloat16 datatype

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:45.757856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08e28323-ff5e-49a6-b41d-b5d24b27d187 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data Measuring Massive Multitask Language Understanding

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:43.929442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35dc2270-b57b-4a68-868c-d7f570d00f35 · outbound

This paper cites International journal of en- vironmental research and public health, 18(2):460.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data International journal of en- vironmental research and public health, 18(2):460

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:46.545942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 90f843ce-81b0-4c08-95fe-37a27526dfad · outbound

This paper cites Large Language Models are Few-Shot Health Learners.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data Large Language Models are Few-Shot Health Learners

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:44.017870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b1536f4-8bca-4948-ad93-162ebf30c56f · outbound

This paper cites In Proceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (V olume 3: System Demonstra- tions), Bangkok, Thailand.

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data In Proceedings of the 62nd Annual Meeting of the Association for Compu- tational Linguistics (V olume 3: System Demonstra- tions), Bangkok, Thailand

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:46.219899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 4d172b02-caf2-4449-bfc7-5e7b90929ec9 · inbound

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review cites this paper.

Large-Scale AI and Foundation Models for Neuroscience: A Comprehensive Review ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-04T09:14:50.466835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fe14e6-5387-4643-a5d8-9660903ae217 · inbound

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health cites this paper.

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:13:59.490185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1067510f-1b9d-4bb4-b4d6-39235e20ae86 · inbound

A Survey of Large Language Models for Perception and Measurement of Human Psychology cites this paper.

A Survey of Large Language Models for Perception and Measurement of Human Psychology ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:57.605787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.