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Paper Citation Record · LEDGER

Reconstructing Training Data From Real World Models Trained with Transfer Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.15845.

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

pith.paper-citation-record.v1
2407.15845 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:10:26.618471Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:34:05.395202Z

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 10c2c274-a524-4ac5-a3be-c1429f4effe8 · inbound

On the Reconstruction of Training Data from Group Invariant Networks cites this paper.

On the Reconstruction of Training Data from Group Invariant Networks Reconstructing Training Data From Real World Models Trained with Transfer Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T13:10:26.618471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:10:26.618471Z digest=sha256:e647ea5019be8720643681dd5a62cb75fdd78d9470a00fb5996b14dced5d96d0

Observation bf8d34c5-7265-4004-b4a5-e3d2e333fce4 · inbound

Querying Kernel Methods Suffices for Reconstructing their Training Data cites this paper.

Querying Kernel Methods Suffices for Reconstructing their Training Data Reconstructing Training Data From Real World Models Trained with Transfer Learning

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:34:05.491036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:34:03.629910Z digest=sha256:7bbc76d323fcd82592f3bdade16fb525e1f2520162fab50fcdad64377a7f119f