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Paper Citation Record · LEDGER

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2012.03826.

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

pith.paper-citation-record.v1
2012.03826 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:35:54.730552Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 21de8a61-49f3-4b21-ac8d-2c1eb2280de8 · inbound

System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems cites this paper.

System Architecture Optimization Strategies: Dealing with Expensive Hierarchical Problems HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-09T17:35:54.730552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:35:54.730552Z digest=sha256:8bd88ac2af7badb14ce089d88e3f563e7876dc875a441f01eebce1df61e33f52

Observation 33df0224-c6e5-41d1-bda8-7fcc69311139 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:12.987014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:12.987014Z digest=sha256:1d0a745df723282ac8ad4519bc97d110dc5d665c873b12158d53e80b32dbcd3f

Observation 60f94775-d8c3-4cfe-9be7-6c2576df74c9 · inbound

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial cites this paper.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:08:20.207267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T22:06:48.152555Z digest=sha256:22df7ad71551cae718bb66e18f5d730f94df5aaab7aa2fe35b22c4eaff2c556e

Observation 550821b7-7c76-4777-bfbd-9267a5d3f421 · inbound

An Open-Source Training Dataset for Foundation Models for Black-box Optimization cites this paper.

An Open-Source Training Dataset for Foundation Models for Black-box Optimization HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:55:23.272578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-25T04:54:11.341810Z digest=sha256:b525ab250bc27fa382d0f60e72a40e2b9d1c8c254fd286a280dcb09dbee780c5

Observation 62a23709-c888-4e26-ba19-2b84153a8c3b · inbound

Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL cites this paper.

Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T00:13:47.162526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T00:13:47.162526Z digest=sha256:d1a456f0d27e294cdbc497136f87a181dfe0353b07b1aeafb4b01727052a709e