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Paper Citation Record · LEDGER

MONSTER: Monash Scalable Time Series Evaluation Repository

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.15122.

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

pith.paper-citation-record.v1
2502.15122 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:08:33.992535Z

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

0
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 01c9c194-bbfd-4d63-9b35-27e142abf3fd · inbound

A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning cites this paper.

A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning MONSTER: Monash Scalable Time Series Evaluation Repository

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T13:08:33.992535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:08:33.992535Z digest=sha256:864c06c765f881d845dbeb530650b5b9a70c04363bdacf2030ded5ca0b0a5e63

Observation c02f7f18-2063-46ce-9375-019117ba0e74 · inbound

WHAR Arena: Benchmarking the State of the Art in Efficient Wearable Human Activity Recognition cites this paper.

WHAR Arena: Benchmarking the State of the Art in Efficient Wearable Human Activity Recognition MONSTER: Monash Scalable Time Series Evaluation Repository

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-27T07:10:41.140437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:09:27.953953Z digest=sha256:a0853d1f4dc685ef74993dcd1ebfa43b3790b0fed34773a2ee3663b7918e5117