Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T12:54:36.505091Z
Paper Citation Record · LEDGER
Enhancing finite-difference based derivative-free optimization methods with machine learning
As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2502.07435.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
25 of 25 outbound references displayed
- verified exact2
- verified fuzzy14
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ea8feb09-f3f4-4686-8ec4-7b9c55577038 · outbound
This paper cites an unresolved cited work.
Enhancing finite-difference based derivative-free optimization methods with machine learning Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T12:54:36.756373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9638d992-ba15-4bc9-bb6e-86607a30a069 · outbound
This paper cites Derivative-Free and Blackbox Optimization.
Enhancing finite-difference based derivative-free optimization methods with machine learning Derivative-Free and Blackbox Optimization
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.747588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8334d3ea-e492-448b-80ac-f3657191318d · outbound
This paper cites an unresolved cited work.
Enhancing finite-difference based derivative-free optimization methods with machine learning Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T12:54:36.738534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bccd6f03-4cfe-4c2e-bba0-e6ed4a7e8f7f · outbound
This paper cites Abdalla, Azizallah Izady, Mohammad Reza Nikoo, and Ali Al- Maktoumi.
Enhancing finite-difference based derivative-free optimization methods with machine learning Abdalla, Azizallah Izady, Mohammad Reza Nikoo, and Ali Al- Maktoumi
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.729371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ee4728af-4cfc-4e05-b6cf-a548abd34d60 · outbound
This paper cites Conn, Katya Scheinberg, and Luis N.
Enhancing finite-difference based derivative-free optimization methods with machine learning Conn, Katya Scheinberg, and Luis N
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.719432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 55a85610-a202-4fc2-a4a1-f1dab3262328 · outbound
This paper cites Conn, Katya Scheinberg, and Lu ´ ıs N.
Enhancing finite-difference based derivative-free optimization methods with machine learning Conn, Katya Scheinberg, and Lu ´ ıs N
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.711040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 99d6841b-4b93-48d0-9e20-5c685ff5a5bd · outbound
This paper cites Sobolev Training for Neural Networks.
Enhancing finite-difference based derivative-free optimization methods with machine learning Sobolev Training for Neural Networks
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T12:54:36.450793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3999a1be-d210-4009-a10b-a6cc981a83cc · outbound
This paper cites Bayesian optimization for materials design.
Enhancing finite-difference based derivative-free optimization methods with machine learning Bayesian optimization for materials design
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-08T12:54:36.558101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3dbd8a0b-1a33-4118-93d2-926c838da55e · outbound
This paper cites The limitation of neural nets for approximation and optimization.
Enhancing finite-difference based derivative-free optimization methods with machine learning The limitation of neural nets for approximation and optimization
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T12:54:36.546021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 282e7a1a-ceea-41e3-8f61-d2e16787968e · outbound
This paper cites Understanding the difficulty of training deep feedforward neural networks.
Enhancing finite-difference based derivative-free optimization methods with machine learning Understanding the difficulty of training deep feedforward neural networks
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.702695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cd8d0008-b177-4015-8bda-cf60aff72645 · outbound
This paper cites an unresolved cited work.
Enhancing finite-difference based derivative-free optimization methods with machine learning Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T12:54:36.694282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dabdd6e6-7d0b-4723-87a8-9327274f3b1f · outbound
This paper cites Grapiglia.
Enhancing finite-difference based derivative-free optimization methods with machine learning Grapiglia
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.686140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation da152210-e6ab-4626-9c13-ee1437ec714f · outbound
This paper cites Grapiglia.
Enhancing finite-difference based derivative-free optimization methods with machine learning Grapiglia
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.677712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation eb4f6952-1c4d-4c3e-97d7-bfe1eb83993e · outbound
This paper cites OPM, a collection of Optimization Problems in Matlab.
Enhancing finite-difference based derivative-free optimization methods with machine learning OPM, a collection of Optimization Problems in Matlab
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T12:54:36.532460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 100d3070-ef28-4d82-979c-7992a8451c06 · outbound
This paper cites Temperature modeling of creep- feed grinding processes for nickel-based superalloys with variable heat flux distribution.
Enhancing finite-difference based derivative-free optimization methods with machine learning Temperature modeling of creep- feed grinding processes for nickel-based superalloys with variable heat flux distribution
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.668866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bddb47af-9d1b-490f-9a18-e290d579e597 · outbound
This paper cites Delving Deep into Rectifiers: Sur- passing Human-Level Performance on ImageNet Classification.
Enhancing finite-difference based derivative-free optimization methods with machine learning Delving Deep into Rectifiers: Sur- passing Human-Level Performance on ImageNet Classification
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.659621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 80238972-98a3-4c57-802c-6df1a3f74408 · outbound
This paper cites Neural Network Accelerated Implicit Fil- tering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Op- timization Methods.
Enhancing finite-difference based derivative-free optimization methods with machine learning Neural Network Accelerated Implicit Fil- tering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Op- timization Methods
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.650521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 838d4321-8aba-4176-b99f-6fdfe26dc924 · outbound
This paper cites an unresolved cited work.
Enhancing finite-difference based derivative-free optimization methods with machine learning Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T12:54:36.641784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cb9031a7-99f2-4fc2-b76b-06749ed9447f · outbound
This paper cites ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations.
Enhancing finite-difference based derivative-free optimization methods with machine learning ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.632885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 74096393-6583-4638-b1ae-0d655b1cf527 · outbound
This paper cites an unresolved cited work.
Enhancing finite-difference based derivative-free optimization methods with machine learning Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T12:54:36.623642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 32488efc-2989-4af3-bcf7-efacf4482f03 · outbound
This paper cites Benchmarking Derivative-Free Optimization Algorithms.
Enhancing finite-difference based derivative-free optimization methods with machine learning Benchmarking Derivative-Free Optimization Algorithms
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.613334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9d35e6c5-2944-42a2-a15b-305e21741093 · outbound
This paper cites an unresolved cited work.
Enhancing finite-difference based derivative-free optimization methods with machine learning Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T12:54:36.604547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a5c5e414-d471-4ec1-b5cf-f4ead9917467 · outbound
This paper cites On the numerical performance of finite-difference-based methods for derivative-free optimization.
Enhancing finite-difference based derivative-free optimization methods with machine learning On the numerical performance of finite-difference-based methods for derivative-free optimization
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.595025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3d806e2c-50fc-41c2-86de-df93a702409d · outbound
This paper cites an unresolved cited work.
Enhancing finite-difference based derivative-free optimization methods with machine learning Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T12:54:36.585934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c7bdf671-cc96-40df-a556-25dc6f04c74e · outbound
This paper cites Accelerating Discovery of Polyimides with Intrinsic Microporosity for Membrane-Based Gas Separation: Synergizing Physics-Informed Performance Metrics and Active Learning.
Enhancing finite-difference based derivative-free optimization methods with machine learning Accelerating Discovery of Polyimides with Intrinsic Microporosity for Membrane-Based Gas Separation: Synergizing Physics-Informed Performance Metrics and Active Learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T12:54:36.576687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.