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Paper Citation Record · LEDGER

Towards Modular Machine Learning Solution Development: Benefits and Trade-offs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.09753.

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

pith.paper-citation-record.v1
2301.09753 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:45:09.456348Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T17:56:23.627950Z

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 e8dc2c7d-8f7f-4a62-8eba-960d40fc1d5d · inbound

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation cites this paper.

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Towards Modular Machine Learning Solution Development: Benefits and Trade-offs

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-16T17:56:23.629964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-16T17:56:23.281678Z digest=sha256:8d7626b53ab4ffdf4044f7274195e5a7f88cbb7f8640c1b9f966784882605a4d

Observation fd244955-18d5-4195-b7e3-7f85f52963cf · inbound

ML Mule: Mobile-Driven Context-Aware Collaborative Learning cites this paper.

ML Mule: Mobile-Driven Context-Aware Collaborative Learning Towards Modular Machine Learning Solution Development: Benefits and Trade-offs

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T20:45:09.456348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:45:09.456348Z digest=sha256:c3a6046d49f6a5f8b94f471402d486e3ee1c91984bcde062967f6f05780f3555

Observation 16109c62-0c02-4d1e-80ac-8477779f37a3 · inbound

Representation-Guided Parameter-Efficient LLM Unlearning cites this paper.

Representation-Guided Parameter-Efficient LLM Unlearning Towards Modular Machine Learning Solution Development: Benefits and Trade-offs

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:06:19.376720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T06:01:46.885030Z digest=sha256:fcc2f32c7f7ae86b56f3e7bfdbbac0645615835ba073e5af4b131d667a3a7bf4