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Paper Citation Record · LEDGER

Towards Exact Computation of Inductive Bias

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.15941.

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

pith.paper-citation-record.v1
2406.15941 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:22:15.233882Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:26:13.037509Z

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 a9b8217f-3b0f-4428-8c2c-acb5ea854cd5 · inbound

Cross-Model Semantics in Representation Learning cites this paper.

Cross-Model Semantics in Representation Learning Towards Exact Computation of Inductive Bias

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T04:22:15.233882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:22:15.233882Z digest=sha256:aa37317aed8fadf1e98aba6fd76f77eae1a8260ea60394fcc333e9f6a1fa0e47

Observation 56a90852-2fc9-46e0-a968-da78d3744ea7 · inbound

Estimating Implicit Regularization in Deep Learning cites this paper.

Estimating Implicit Regularization in Deep Learning Towards Exact Computation of Inductive Bias

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:26:13.040257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T15:54:21.139902Z digest=sha256:c59b42d04e6b37e4eb90f3db79445580f98bdf6676d3616d176c673af187a597