Pith. sign in

Paper Citation Record · LEDGER

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.08765.

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

pith.paper-citation-record.v1
2406.08765 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:56.551881Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:53:14.002312Z

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 aa6b85f2-0c27-4c7e-9325-0015baf79075 · inbound

Extending Dataset Pruning to Object Detection: A Variance-based Approach cites this paper.

Extending Dataset Pruning to Object Detection: A Variance-based Approach LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:53:14.057079Z

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.

source=pdf_text observed=2026-08-07T14:53:09.482238Z digest=sha256:93cc61c9fb15fd1a14d56a87c63746eeac059ce3e297ff55fb62dd5df2acbaf5

Observation 15a886df-ba5f-47cf-9c97-ca0317be612f · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:56.551881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:56.551881Z digest=sha256:169584ef29ff45a8c0dab0dfc4edc3669ebe3fd39c86f4ce5d83ce2c44e8a56e