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Paper Citation Record · LEDGER

TL-PCA: Transfer Learning of Principal Component Analysis

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.10805.

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

pith.paper-citation-record.v1
2410.10805 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:24:26.935935Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:41:08.773210Z

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 7ec9c12f-2ee4-46a0-b17d-88ac6678c3e1 · inbound

A LoRA is Worth a Thousand Pictures cites this paper.

A LoRA is Worth a Thousand Pictures TL-PCA: Transfer Learning of Principal Component Analysis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T14:24:26.935935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:24:26.935935Z digest=sha256:759ff1d604b73ba39014cc28b02d6b55e8bc13ef239c6834a37cb4cb0d2d1529

Observation b737f4de-0e6c-4629-b59e-bba100271707 · inbound

Bridging Input Feature Spaces Towards Graph Foundation Models cites this paper.

Bridging Input Feature Spaces Towards Graph Foundation Models TL-PCA: Transfer Learning of Principal Component Analysis

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:41:08.776803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T17:18:21.259797Z digest=sha256:4faf1e919d9193f44330f4df9a40cb1dc1c68642cfa29d89f313194d4ae5809a