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Paper Citation Record · LEDGER

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.16795.

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

pith.paper-citation-record.v1
2404.16795 v3

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:01:10.039009Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:36:15.620007Z

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 41ac1026-cf3f-4f01-a04e-f2fa094152aa · inbound

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks cites this paper.

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:10.039009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:10.039009Z digest=sha256:65444d4f46e0d207b9e4e341a133ae7020ac26f6bc62318eea2a5305d8c79be4

Observation 481b4e98-0286-42e6-b473-8eb51581e057 · inbound

Decoupled PFNs: Identifiable Epistemic-Aleatoric Decomposition via Structured Synthetic Priors cites this paper.

Decoupled PFNs: Identifiable Epistemic-Aleatoric Decomposition via Structured Synthetic Priors In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:36:15.638580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-08T04:56:06.447004Z digest=sha256:bc76491ccaeedbd963de13190eaf0a8ce6812a253d85d730ab6054aecc78b82f