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Paper Citation Record · LEDGER

Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1707.09102.

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

pith.paper-citation-record.v1
1707.09102 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:42:01.173000Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:27:11.195682Z

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 f80ade69-5d9a-4c4b-b90c-a2d0f39098b1 · inbound

B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning cites this paper.

B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T05:42:01.173000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:42:01.173000Z digest=sha256:28697aa75e7c54221cbdb6fe657657f7f6185394dfa9743554a6555465985c4c

Observation df4c8700-5461-4287-9bbf-68d47f7c8b5a · inbound

TuneComp: Joint Fine-tuning and Compression for Large Foundation Models cites this paper.

TuneComp: Joint Fine-tuning and Compression for Large Foundation Models Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:27:11.252846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T13:27:10.336365Z digest=sha256:695fbaf5cb6a73f80c52128bdcbba2bbdd1ce0e86443c9f232695d879ac6054f