Paper Citation Record · LEDGER

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 6 inbound Pith citation observations for arXiv:2502.07608.

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

pith.paper-citation-record.v1
2502.07608 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:14:20.414411Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:51:14.276059Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:16:25.472672Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy28
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f90e3d78-bb75-4813-887e-dd8fd2d6c484 · outbound

This paper cites Chronos: Learning the Language of Time Series.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Chronos: Learning the Language of Time Series

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.230830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508db134-bc9d-49ba-ac86-62baadb1fe37 · outbound

This paper cites Multimodal llms for health grounded in individual-specific data.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Multimodal llms for health grounded in individual-specific data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.922449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f07a527d-54a0-43fd-acda-e7f2fc98f48f · outbound

This paper cites Imputation strategies for longitudinal behavioral studies: Predicting depression using globem datasets.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Imputation strategies for longitudinal behavioral studies: Predicting depression using globem datasets

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.912061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b319dccc-75dd-4f75-ab49-ae7c059f39ad · outbound

This paper cites Daily step count and depression in adults: A systematic review and meta-analysis.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Daily step count and depression in adults: A systematic review and meta-analysis

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.901900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f3aea07-1109-4126-9986-22f3617f8cf9 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting On the Opportunities and Risks of Foundation Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.247272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b441ee4d-b031-42cc-af23-d57c63e4e11a · outbound

This paper cites Jolt: jointly learned representations of language and time-series for clinical time-series interpretation (student abstract).

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Jolt: jointly learned representations of language and time-series for clinical time-series interpretation (student abstract)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.891623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1797906e-11f1-48ab-9996-dad2b7977ad7 · outbound

This paper cites Model reprogramming: Resource-efficient cross-domain machine learning.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Model reprogramming: Resource-efficient cross-domain machine learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.880047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1215085c-bbac-4989-a640-49102552fb4d · outbound

This paper cites Towards automated circuit discovery for mechanistic interpretability.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Towards automated circuit discovery for mechanistic interpretability

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.258831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42925163-09c5-478c-a1bb-743bc6405b6a · outbound

This paper cites Towards a Personal Health Large Language Model.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Towards a Personal Health Large Language Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.262393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7c60e7a-b4f9-4c6b-9871-6c3b7cfb008b · outbound

This paper cites The intra-day dynamics of affect, self-esteem, tiredness, and suicidality in major depression.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting The intra-day dynamics of affect, self-esteem, tiredness, and suicidality in major depression

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.864833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62dc8e97-9aca-458f-8325-e7af3c29b5cf · outbound

This paper cites Crossl: Cross-modal self-supervised learning for time-series through latent masking.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Crossl: Cross-modal self-supervised learning for time-series through latent masking

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.854497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f4ebd1d-2e8c-4d93-9707-f8140d3fc3d1 · outbound

This paper cites New well-being measures: Short scales to assess flourishing and positive and negative feelings.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting New well-being measures: Short scales to assess flourishing and positive and negative feelings

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.844158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c7e3092-a383-4a5c-b64c-bbff3c639d99 · outbound

This paper cites A Survey on In-context Learning.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting A Survey on In-context Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.277773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be3b2e94-1ac2-4312-b526-c5196dbf7ee9 · outbound

This paper cites The Llama 3 Herd of Models.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting The Llama 3 Herd of Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.281660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba213a9a-be8e-45cf-893e-b3cbf58b5c4c · outbound

This paper cites GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.285144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cbf46ff-e4d1-4d73-91a8-0fadb7faab80 · outbound

This paper cites Imagebind: One embedding space to bind them all.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Imagebind: One embedding space to bind them all

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.288980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5aec11-cfd0-4549-b884-8656a9799f14 · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting MOMENT: A Family of Open Time-series Foundation Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.292898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82384ac1-0f0f-48d5-b1ac-e0eddbc31a66 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting OLMo: Accelerating the Science of Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.296763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9299c2f-c909-4580-8dac-ee041c8adf76 · outbound

This paper cites Large language models are zero-shot time series forecasters.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Large language models are zero-shot time series forecasters

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.828931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e97f6c7-1841-42e7-8758-e7dee3cd3ec7 · outbound

This paper cites Home-based physical therapy with an interactive computer vision system.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Home-based physical therapy with an interactive computer vision system

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.819631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eed20aa2-546c-4e77-9fab-a0c66db1ba5a · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.307674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90be751-95d5-4c58-84ba-deba913aa24d · outbound

This paper cites A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.311657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0153b20-cdc4-4a17-8c42-305017a5bb9f · outbound

This paper cites Scaling Laws for Neural Language Models.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Scaling Laws for Neural Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.315643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32a5e14-9af5-4ba7-9e8c-afe2391e7aa0 · outbound

This paper cites Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.319551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d70e2ddb-ef73-48d2-9cc6-67d0a8da9d5f · outbound

This paper cites The phq-9: validity of a brief depression severity measure.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting The phq-9: validity of a brief depression severity measure

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.808611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35d85f6c-a1b6-4770-bd1b-a9475d67e254 · outbound

This paper cites Prevalence of depression in the community from 30 countries between 1994 and 2014.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Prevalence of depression in the community from 30 countries between 1994 and 2014

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.798696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f4156645-9a95-4895-84af-7a0e051ffc6e · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.787422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41fa06b6-e11b-47f7-a8d5-e242dde59290 · outbound

This paper cites A generalist medical language model for disease diagnosis assistance.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting A generalist medical language model for disease diagnosis assistance

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.775173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 987a505a-a59e-4313-a995-cd5d7e0eefbe · outbound

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

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Large Language Models are Few-Shot Health Learners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.338389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 392165b4-47a7-4124-820d-089c640990f9 · outbound

This paper cites Anymal: An efficient and scalable any-modality augmented language model.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Anymal: An efficient and scalable any-modality augmented language model

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.764701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d5bf6725-7049-4a83-8990-830ea29f430b · outbound

This paper cites Cross-modal adversarial reprogramming.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Cross-modal adversarial reprogramming

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.345412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557684db-e2cf-4dc3-88b9-3df25d0aa4d2 · outbound

This paper cites Capturing the college experience: A four-year mobile sensing study of mental health, resilience and behavior of college students during the pandemic.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Capturing the college experience: A four-year mobile sensing study of mental health, resilience and behavior of college students during the pandemic

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.748611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91f82c30-3a38-45ce-bb1c-ddc997ea63b0 · outbound

This paper cites PaPaGei: Open Foundation Models for Optical Physiological Signals.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting PaPaGei: Open Foundation Models for Optical Physiological Signals

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.351938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27df79db-c15e-4391-ab10-84d57066fb59 · outbound

This paper cites Predicting weekly variability in depressive symptoms among individuals diagnosed with major depressive disorder using deep learning and passively gathered movement data.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Predicting weekly variability in depressive symptoms among individuals diagnosed with major depressive disorder using deep learning and passively gathered movement data

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.738809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4d6ea8b-8997-444c-9d7a-930ab5494545 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Learning transferable visual models from natural language supervision

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.359036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37609283-93a7-4fe7-9ce3-7081e23f0c62 · outbound

This paper cites A tutorial on gaussian process regression: Modelling, exploring, and exploiting functions.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting A tutorial on gaussian process regression: Modelling, exploring, and exploiting functions

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.723860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f45b51c9-208a-4fa6-83ff-2f887856fe8c · outbound

This paper cites Toward expert-level medical question answering with large language models.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Toward expert-level medical question answering with large language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.714254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfeb86f2-ca07-4bf4-92a8-9fa8ec1673ae · outbound

This paper cites The first step is the hardest: Pitfalls of representing and tokenizing temporal data for large language models.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting The first step is the hardest: Pitfalls of representing and tokenizing temporal data for large language models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.703751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bac7bd3a-d5c0-4624-a657-a2124aa1f928 · outbound

This paper cites Gemma 3 Technical Report.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Gemma 3 Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.374189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 948c5569-9c4b-4c0d-bb61-73ae6343d38b · outbound

This paper cites Reprogramming Pretrained Language Models for Protein Sequence Representation Learning.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Reprogramming Pretrained Language Models for Protein Sequence Representation Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.378299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d77b86e5-3326-47e2-a1df-1cbcd09c765c · outbound

This paper cites Studentlife: assessing mental health, academic performance and behavioral trends of college students using smartphones.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Studentlife: assessing mental health, academic performance and behavioral trends of college students using smartphones

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.694025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 206c30d7-3639-4e31-8ffd-9e9c2d87827c · outbound

This paper cites Me-llama: Medical foundation large language models for comprehensive text analysis and beyond.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Me-llama: Medical foundation large language models for comprehensive text analysis and beyond

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.683928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 380c8f4d-ad11-4628-991e-232f71ba6c04 · outbound

This paper cites Penetrative ai: Making llms comprehend the physical world.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Penetrative ai: Making llms comprehend the physical world

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.673605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d563ac6-2864-4c38-91c8-e59a28bade12 · outbound

This paper cites Globem: cross-dataset generalization of longitudinal human behavior modeling.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Globem: cross-dataset generalization of longitudinal human behavior modeling

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.661743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 098af945-3a07-41d0-8384-1ace34d5b7c3 · outbound

This paper cites Mental-llm: Leveraging large language models for mental health prediction via online text data.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Mental-llm: Leveraging large language models for mental health prediction via online text data

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.651168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e329e5e6-4cec-4ea4-857f-0dacc3eae9b7 · outbound

This paper cites Promptcast: A new prompt-based learning paradigm for time series forecasting.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Promptcast: A new prompt-based learning paradigm for time series forecasting

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.639762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 801031c0-2fb5-455a-9554-99ff12aef2b3 · outbound

This paper cites Voice2series: Reprogramming acoustic models for time series classification.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Voice2series: Reprogramming acoustic models for time series classification

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.628546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 594dd4de-bbf5-46e1-9865-7b15a009a88f · outbound

This paper cites SimPer: Simple Self-Supervised Learning of Periodic Targets.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting SimPer: Simple Self-Supervised Learning of Periodic Targets

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.407305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86ec7702-2def-4a6e-85f1-eb67fbd5026d · outbound

This paper cites By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T12:14:20.410753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f78819e-656d-49b7-8371-f30845234d87 · outbound

This paper cites Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts.

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:14:20.616979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation d4b9032f-d418-4434-b6d0-81cc7b90ff10 · inbound

LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models cites this paper.

LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T18:48:17.191300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b539b6d-2f01-4fc1-a313-fb2462f11de5 · inbound

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook cites this paper.

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

Reference 117

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:53:08.519813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d96486de-d284-4815-a6af-3359f179e32b · inbound

PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship cites this paper.

PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-19T22:07:49.256803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e85f00d2-9933-49bb-9272-aab54e85ca08 · inbound

Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition cites this paper.

Gravity-Aware Hierarchical Routing for Lightweight SensorLLM on Human Activity Recognition Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:16:25.474918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b224a92-c8ac-436a-b18a-759337864f07 · inbound

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning cites this paper.

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-13T05:38:27.357469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e60d083-c47b-4ed0-8504-3850ea0bcf77 · inbound

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning cites this paper.

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T07:51:14.276059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.