Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T10:08:43.854827Z
Paper Citation Record · LEDGER
Enhancing classification accuracy through chaos
As of 5 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2603.15299.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-30T13:47:45.592661Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
27 of 27 outbound references displayed
- verified exact1
- verified fuzzy25
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 778967ea-b8f0-4c97-8af3-e2210a68d682 · outbound
This paper cites Machine learning: a review of classification and combining techniques.
Enhancing classification accuracy through chaos Machine learning: a review of classification and combining techniques
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.229803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1097399a-43a5-447d-8cfa-8a24ca442fd1 · outbound
This paper cites Deep learning.
Enhancing classification accuracy through chaos Deep learning
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.255251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c26cdb1-86e6-441a-9b8c-af530264736a · outbound
This paper cites A comprehensive analysis of deep regression.IEEE transac- tions on pattern analysis and machine intelligence, 42(9):2065–2081.
Enhancing classification accuracy through chaos A comprehensive analysis of deep regression.IEEE transac- tions on pattern analysis and machine intelligence, 42(9):2065–2081
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.244788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 973c389b-70f7-4151-9eea-7ef1816066b6 · outbound
This paper cites Physics-informed machine learning.Nature Reviews Physics, 3(6):422–440.
Enhancing classification accuracy through chaos Physics-informed machine learning.Nature Reviews Physics, 3(6):422–440
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.259390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 64663f76-3992-466c-98a3-d666691f6092 · outbound
This paper cites A com- prehensive review on machine learning in healthcare industry: classifi- cation, restrictions, opportunities and challenges.Sensors, 23(9):4178.
Enhancing classification accuracy through chaos A com- prehensive review on machine learning in healthcare industry: classifi- cation, restrictions, opportunities and challenges.Sensors, 23(9):4178
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.262799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 041ce5fe-b7a1-450b-9a4b-eff85ed87370 · outbound
This paper cites Evaluating machine learning classification for financial trad- ing: An empirical approach.Expert Systems with Applications, 54:193– 207.
Enhancing classification accuracy through chaos Evaluating machine learning classification for financial trad- ing: An empirical approach.Expert Systems with Applications, 54:193– 207
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.233354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3775ff64-9814-403a-9dfa-3222b3146150 · outbound
This paper cites Machine learning and its applications to biology.PLoS computational biology, 3(6):e116.
Enhancing classification accuracy through chaos Machine learning and its applications to biology.PLoS computational biology, 3(6):e116
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.265963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c29cd7be-e8a0-4bd9-8a22-1156d03280e2 · outbound
This paper cites Machine learning and the physical sciences.Reviews of Modern Physics, 91(4):045002.
Enhancing classification accuracy through chaos Machine learning and the physical sciences.Reviews of Modern Physics, 91(4):045002
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.241286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5b2a95b7-3b5a-4e39-8168-537adbbe5292 · outbound
This paper cites Recent advances and applications of deep learning methods in materials science.npj Computational Mate- rials, 8(1):59.
Enhancing classification accuracy through chaos Recent advances and applications of deep learning methods in materials science.npj Computational Mate- rials, 8(1):59
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.269965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b0a41d25-8200-4677-b3ce-2278f83c9762 · outbound
This paper cites A law of data separation in deep learning.
Enhancing classification accuracy through chaos A law of data separation in deep learning
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.246922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 99166574-7f0b-401e-8b64-fb1e9d6c95b8 · outbound
This paper cites Some theory for fisher’s linear discriminant function,naive bayes’, and some alternatives when there are many more variables than observations.Bernoulli, 10(6):989–1010.
Enhancing classification accuracy through chaos Some theory for fisher’s linear discriminant function,naive bayes’, and some alternatives when there are many more variables than observations.Bernoulli, 10(6):989–1010
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.252019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1d6cccfa-fb09-428b-89c2-755caa9ba246 · outbound
This paper cites High dimensional classification using features annealed independence rules.Annals of statistics, 36(6):2605.
Enhancing classification accuracy through chaos High dimensional classification using features annealed independence rules.Annals of statistics, 36(6):2605
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.273475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9418f2e-9e51-4b85-85b2-29667a5698bf · outbound
This paper cites High dimensional data classi- fication and feature selection using support vector machines.European Journal of Operational Research, 265(3):993–1004.
Enhancing classification accuracy through chaos High dimensional data classi- fication and feature selection using support vector machines.European Journal of Operational Research, 265(3):993–1004
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.248360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eecff1bd-b9f4-438e-b2df-f344b788de0d · outbound
This paper cites Augmenta- tion strategies for learning with noisy labels.
Enhancing classification accuracy through chaos Augmenta- tion strategies for learning with noisy labels
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.202664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18dd000a-061f-461e-9242-1367fed10471 · outbound
This paper cites Exploring the bayes-oriented noise injection approach in neural networks.Physics Letters A, page 130804.
Enhancing classification accuracy through chaos Exploring the bayes-oriented noise injection approach in neural networks.Physics Letters A, page 130804
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.219337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 80df0a78-27d1-4f08-99a6-e6b538087ca4 · outbound
This paper cites Staying on the manifold: Geometry-aware noise injection.arXiv preprint arXiv:2509.20201.
Enhancing classification accuracy through chaos Staying on the manifold: Geometry-aware noise injection.arXiv preprint arXiv:2509.20201
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T10:09:55.533200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6a0af149-59ff-4a74-97b6-2b6282cfa7e6 · outbound
This paper cites Enforcing constraints for time series prediction in super- vised, unsupervised and reinforcement learning.
Enhancing classification accuracy through chaos Enforcing constraints for time series prediction in super- vised, unsupervised and reinforcement learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.186191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e4a49cec-1d83-4bea-b2df-235984215f6a · outbound
This paper cites Predictability: A problem partly solved.
Enhancing classification accuracy through chaos Predictability: A problem partly solved
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.216105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 97340ec5-1c58-4dad-a279-8071838d466d · outbound
This paper cites Extensive chaos in the lorenz-96 model.Chaos: An interdisciplinary journal of nonlinear science, 20(4).
Enhancing classification accuracy through chaos Extensive chaos in the lorenz-96 model.Chaos: An interdisciplinary journal of nonlinear science, 20(4)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.209951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d8af29e5-cb5a-4b1f-a18e-0015b44f83b1 · outbound
This paper cites Springer.
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.206146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e8b10920-1dfb-4c71-a6e8-91f8f7b695b9 · outbound
This paper cites an unresolved cited work.
Enhancing classification accuracy through chaos Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T10:09:56.212907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1eaed8e2-1763-4799-8d1e-e17f957dae39 · outbound
This paper cites Abandoning objectives: Evolu- tion through the search for novelty alone.Evolutionary computation, 19(2):189–223.
Enhancing classification accuracy through chaos Abandoning objectives: Evolu- tion through the search for novelty alone.Evolutionary computation, 19(2):189–223
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.198796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a1374d5a-5df0-41ff-ba0d-e3ef35cd56db · outbound
This paper cites Cambridge Univer- sity Press.
Enhancing classification accuracy through chaos Cambridge Univer- sity Press
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.226129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5c141996-f9a1-46ed-8a61-bdbb26ae9312 · outbound
This paper cites Pattern recognition in a bucket.
Enhancing classification accuracy through chaos Pattern recognition in a bucket
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.182730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dacf5c44-8508-4439-9d09-fc5e33b3481c · outbound
This paper cites Recent advances in physical reservoir com- puting: A review.Neural Networks, 115:100–123.
Enhancing classification accuracy through chaos Recent advances in physical reservoir com- puting: A review.Neural Networks, 115:100–123
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.222952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 38a2a3c3-7c91-4340-b665-b2fa3c44af04 · outbound
This paper cites Theory of neu- romorphic computing by waves: machine learning by rogue waves, dis- persive shocks, and solitons.Physical Review Letters, 125(9):093901.
Enhancing classification accuracy through chaos Theory of neu- romorphic computing by waves: machine learning by rogue waves, dis- persive shocks, and solitons.Physical Review Letters, 125(9):093901
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.190725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4259fce-bfdd-464e-bf65-ff3045ba37e7 · outbound
This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].IEEE signal processing magazine, 29(6):141–142.
Enhancing classification accuracy through chaos The mnist database of handwritten digit images for machine learning research [best of the web].IEEE signal processing magazine, 29(6):141–142
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T10:09:56.195022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation b3f9b179-8c8d-4f58-be3e-867ffa2bef64 · inbound
From Classification to Regression: Using a Fruitfly to Solve Equations cites this paper.
From Classification to Regression: Using a Fruitfly to Solve Equations Enhancing classification accuracy through chaos
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T13:47:45.592661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.