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Paper Citation Record · LEDGER

Multi-fidelity Bayesian Optimisation with Continuous Approximations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1703.06240.

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

pith.paper-citation-record.v1
1703.06240 v1

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:10:56.273035Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

95
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 91336f10-2709-4dea-abeb-035ce430ef87 · inbound

Indirect Query Bayesian Optimization with Integrated Feedback cites this paper.

Indirect Query Bayesian Optimization with Integrated Feedback Multi-fidelity Bayesian Optimisation with Continuous Approximations

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T13:10:56.273035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:10:56.273035Z digest=sha256:569f2276a7252d98f859456b88165ceba96c453fdd5ca075d7afdeedac5fd115

Observation b2d613bf-f1f0-4a54-9d7d-c6431581901c · inbound

Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures cites this paper.

Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures Multi-fidelity Bayesian Optimisation with Continuous Approximations

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T14:25:55.309932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:25:55.309932Z digest=sha256:d83ccbab3af65b6beeaf9590b18ab14689a652c5923d279c5dfb25ed5a7ad5ee

Observation c2fc4a69-13b0-459f-86c2-a7a6f55e7e95 · inbound

Constrained Bayesian Optimisation with Multiple Information Sources cites this paper.

Constrained Bayesian Optimisation with Multiple Information Sources Multi-fidelity Bayesian Optimisation with Continuous Approximations

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:57:06.237261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-02T15:52:24.436940Z digest=sha256:8c89be06d8c45ca3115b2057cff725a12f3c181300da351620aeca0a193faa71

Observation a4ec8400-4c53-4634-8156-2373c3f95a23 · inbound

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems cites this paper.

Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems Multi-fidelity Bayesian Optimisation with Continuous Approximations

Reference 83

Resolution
unresolved
no resolver link, observed 2026-07-13T00:55:17.107245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T00:55:17.107245Z digest=sha256:b689e104a6b85706ed85a24cba4a0e60deec61a1682868f37b534ae75be2ee03

Observation d772df4c-2271-4ab9-9662-c02eacb96ad9 · inbound

RAG-Stack: Co-Optimizing RAG Serving Performance and Quality cites this paper.

RAG-Stack: Co-Optimizing RAG Serving Performance and Quality Multi-fidelity Bayesian Optimisation with Continuous Approximations

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-05T18:13:14.505282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:13:14.505282Z digest=sha256:298f9afaa106fda20dd9835f89f5ada7b629dc15d5bb52223eac66d344e88911