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Paper Citation Record · LEDGER

LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.19857.

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

pith.paper-citation-record.v1
2403.19857 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:37:17.128288Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T05:16:40.093548Z

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 dc2c8d68-f765-4249-ba8d-68affb0c1b99 · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 203

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:57:26.954787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:c10868848877cd43d13d2767d624eb215598dd1a3cee5babe8b63580165f65f0

Observation 347b31c4-441d-48d3-b836-b89962d94ada · inbound

ChainStream: An LLM-based Framework for Unified Synthetic Sensing cites this paper.

ChainStream: An LLM-based Framework for Unified Synthetic Sensing LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T16:37:17.128288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:37:17.128288Z digest=sha256:c942772da98ca4e33aca75e401b27e7975c592fbd110a450f14b81f81b04efeb

Observation d92a55f6-751f-44d9-8b7b-4459af2bb834 · inbound

Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data cites this paper.

Data Can Speak for Itself: Quality-guided Utilization of Wireless Synthetic Data LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:48.343414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:48.343414Z digest=sha256:ac7630bfdd42ca211eabb399154949a7371570aefdec27a503de9112998621df

Observation 5ff98420-686d-4166-8c98-b79a5567cb53 · inbound

On the Convergence of Large Language Model Optimizer for Black-Box Network Management cites this paper.

On the Convergence of Large Language Model Optimizer for Black-Box Network Management LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:33:44.203275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:33:44.203275Z digest=sha256:b0ebed2dda422bb9db6ab53dcaf1a7cd68786b2fa1a82516c7595740bb7237ae

Observation f60ad168-401c-4be2-84a6-f4970ea997bc · inbound

GLOSS: Group of LLMs for Open-Ended Sensemaking of Passive Sensing Data for Health and Wellbeing cites this paper.

GLOSS: Group of LLMs for Open-Ended Sensemaking of Passive Sensing Data for Health and Wellbeing LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:10.583062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:29:10.583062Z digest=sha256:eec45691003821ab5068d8bf2d9d94947886686c06ff64cf422322c9799dba90

Observation 4575bedb-0873-453d-914f-8deaf944f7be · inbound

Graph-Enhanced Policy Optimization in LLM Agent Training cites this paper.

Graph-Enhanced Policy Optimization in LLM Agent Training LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T07:17:44.631735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:17:44.631735Z digest=sha256:1acbe58f9c3307b93fb3fa66d23e7d05eb75f81aea4c43792e3e28b4c8d18301

Observation e84c93bb-e8e6-4feb-ba89-583a5dce20ea · 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 LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 114

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:53:08.529242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T18:48:40.813486Z digest=sha256:af2c0a89cb68750a964cc8fb162cced7bb05707b01b2c022c7d9f0ac8c72b5af

Observation bc06f55d-b90a-4fc3-a7db-d3f8c5bc0ba3 · inbound

SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streams cites this paper.

SensorPersona: An LLM-Empowered System for Continual Persona Extraction from Longitudinal Mobile Sensor Streams LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T11:49:58.920004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T11:45:33.612135Z digest=sha256:1b350c3925b42302c1167b8e620b8a1d464cebd0b8365d6e81e5a6b3ddf9e5da

Observation 394f8a9e-62cb-48bf-9039-ff9666bf38a5 · inbound

From 'What' to 'How' and 'Why': Sharing LLM-Generated Retrospective Summaries of Older Adults' Passive Tracking Data with Remote Family Members cites this paper.

From 'What' to 'How' and 'Why': Sharing LLM-Generated Retrospective Summaries of Older Adults' Passive Tracking Data with Remote Family Members LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:16:40.095011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T08:14:07.265073Z digest=sha256:b4b402068a30ff724bf419f810668e6f62371d6b27ae06d2f71a6fa4e28cdc07