Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.09037.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:55.645407Z
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 5c5da559-4918-48e1-8dea-3458f74f2af9 · inbound
FedFitTech: A Baseline in Federated Learning for Fitness Tracking cites this paper.
FedFitTech: A Baseline in Federated Learning for Fitness Tracking Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:42:55.645407Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24c2b8f8-d372-4dec-a98d-810593d23d7c · inbound
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices cites this paper.
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:31:33.561835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f46ffb1-2ef3-41ae-82f8-7c4dbf489c2d · inbound
BabyMamba-HAR: Lightweight Selective State Space Models for Efficient Human Activity Recognition on Resource Constrained Devices cites this paper.
BabyMamba-HAR: Lightweight Selective State Space Models for Efficient Human Activity Recognition on Resource Constrained Devices Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T13:24:11.055779Z
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 ba306e2b-41b7-49b0-84ee-113c1a01580c · 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 Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T07:10:41.159089Z
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.