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Paper Citation Record · LEDGER

On the Benefit of Generative Foundation Models for Human Activity Recognition

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.12085.

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

pith.paper-citation-record.v1
2310.12085 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T08:37:44.181899Z

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

3
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 70635fb2-7ec0-4a11-9616-b94d0c14e3eb · 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 On the Benefit of Generative Foundation Models for Human Activity Recognition

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:53:08.495188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T18:48:40.813486Z digest=sha256:e523f84f08710c86f63cfc5380c7d046ddc700a94ff9bf1e7794338e780224f9

Observation f20fb438-9f77-468f-ae26-d60e31f5edfe · inbound

OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis cites this paper.

OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis On the Benefit of Generative Foundation Models for Human Activity Recognition

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-20T08:38:08.832387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T08:37:44.181899Z digest=sha256:ee89571fb874f76546044c6ccf32bbe022c10a1b08eca90586443e4a69ed9d1f