Paper Citation Record · LEDGER

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2508.01453.

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

pith.paper-citation-record.v1
2508.01453 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:37:35.345144Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy21
unresolved22
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 361a5a5f-8b31-4f04-b34f-90141fffd64d · outbound

This paper cites Benchmarking large language models on answering and explaining challenging medical questions.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Benchmarking large language models on answering and explaining challenging medical questions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.603754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb1f7c7f-d1ea-46c2-8cfb-b1337eb92f37 · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.117823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b6b50e4-cc97-4dd7-a9dd-d6e8b8397c8c · outbound

This paper cites Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities, 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.585919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8a9c67d-365b-4031-8e66-e1da02209d26 · outbound

This paper cites The llama 3 herd of models.arXiv e-prints, pages arXiv–2407,.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach The llama 3 herd of models.arXiv e-prints, pages arXiv–2407,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.128832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c1ecdc1-cdbe-4785-be46-cfc25702e0ef · outbound

This paper cites Large language models lack essential metacognition for reliable medical reasoning.Nature com- munications, 16(1):642, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Large language models lack essential metacognition for reliable medical reasoning.Nature com- munications, 16(1):642, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.557792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1d7d9184-414d-4be9-8256-297929414a8b · outbound

This paper cites Domain-specific language model pre- training for biomedical natural language processing.ACM Transactions on Computing for Healthcare (HEALTH), 3(1): 1–23, 2021.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Domain-specific language model pre- training for biomedical natural language processing.ACM Transactions on Computing for Healthcare (HEALTH), 3(1): 1–23, 2021

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.540666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 60035d13-d572-4453-97ac-c36cf78ede55 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.144663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85cec31c-13cf-46c2-9fa9-b3081a913b1f · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach LoRA: Low-rank adaptation of large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.522672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76dccddd-2317-4a99-8d46-8b6e4c9eaf3b · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.157345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c48ef009-09d5-4010-92b2-920eafba441b · outbound

This paper cites m1: Unleash the potential of test-time scaling for medical reasoning with large language models.arXiv preprint arXiv:2504.00869, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach m1: Unleash the potential of test-time scaling for medical reasoning with large language models.arXiv preprint arXiv:2504.00869, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.163780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c2bbdd3-e50c-4c05-907f-2ff63194d331 · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421,.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.504290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 807aa9b5-1ff7-4b33-9053-3857ec9fae12 · outbound

This paper cites Understanding black-box predictions via influence functions.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Understanding black-box predictions via influence functions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.175216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9b53ef-fbf0-4de9-a699-ad373d7d76e5 · outbound

This paper cites MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.180994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4593eac7-da0e-46d9-a552-457195445058 · outbound

This paper cites A generalist medical language model for disease diagnosis assistance.Nature Medicine, pages 1–11, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach A generalist medical language model for disease diagnosis assistance.Nature Medicine, pages 1–11, 2025

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.476763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7842ea4-fcf8-495c-82eb-15bda8641526 · outbound

This paper cites Towards accurate differential diagnosis with large language models.Nature, pages 1–7, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Towards accurate differential diagnosis with large language models.Nature, pages 1–7, 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.459214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4ce84ada-058e-45a5-8ddc-8ada9ce71ac0 · outbound

This paper cites GPT-4 Technical Report.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach GPT-4 Technical Report

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.197546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cd3b7c-0294-400e-b1f8-d4fd547a6406 · outbound

This paper cites Medmcqa: A large-scale multi-subject multi- choice dataset for medical domain question answering.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Medmcqa: A large-scale multi-subject multi- choice dataset for medical domain question answering

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.443103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f51d415e-4310-401a-b447-b7a63801cf69 · outbound

This paper cites Humanity's Last Exam.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Humanity's Last Exam

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.207481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09fd28e8-87a6-4a6e-8ba5-fd8e0b73945f · outbound

This paper cites Estimating training data influence by trac- ing gradient descent.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Estimating training data influence by trac- ing gradient descent

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.426629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c73ae43-4360-4a41-b975-3be62847a3eb · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.409667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca329cea-26c8-417b-b562-fa41c67f4956 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks, 2019.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Sentence-bert: Sentence embeddings using siamese bert-networks, 2019

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.393984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f362275d-b36d-4393-a0ad-728e631ec93f · outbound

This paper cites Reasonmed: A 370k multi-agent generated dataset for advancing medical reasoning.arXiv preprint arXiv:2506.09513, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Reasonmed: A 370k multi-agent generated dataset for advancing medical reasoning.arXiv preprint arXiv:2506.09513, 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.227620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ed90d37-10b0-4080-be75-b74e138cde6a · outbound

This paper cites Qwq-32b: Embracing the power of reinforce- ment learning, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Qwq-32b: Embracing the power of reinforce- ment learning, 2025

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.378274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 068c940a-34ff-40fc-a2c8-c28453b1a757 · outbound

This paper cites Disentangling reason- ing and knowledge in medical large language models, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Disentangling reason- ing and knowledge in medical large language models, 2025

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.361132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b736d68a-5a67-4b16-8722-42b847a13d41 · outbound

This paper cites Com- parative benchmarking of the deepseek large language model on medical tasks and clinical reasoning.Nature medicine, pages 1–1, 2025.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Com- parative benchmarking of the deepseek large language model on medical tasks and clinical reasoning.Nature medicine, pages 1–1, 2025

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.344220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0483f87-0cf5-4b62-a967-2b48a4dc0328 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach LLaMA: Open and Efficient Foundation Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.248432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ed897c-d918-4c4e-95be-bf2465605553 · outbound

This paper cites MMLU-pro: A more robust and challenging multi- task language understanding benchmark.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach MMLU-pro: A more robust and challenging multi- task language understanding benchmark

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.325843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4978694e-2707-4a57-ac35-3bce33e13e05 · outbound

This paper cites Smarter, better, faster, longer: A modern bidirectional en- coder for fast, memory efficient, and long context finetuning and inference, 2024.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Smarter, better, faster, longer: A modern bidirectional en- coder for fast, memory efficient, and long context finetuning and inference, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.310023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d07f3986-a63d-4616-8232-8887786f8b22 · outbound

This paper cites MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.264367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf9708b-2714-4238-8cc7-40dfcc9b8769 · outbound

This paper cites Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.270920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12abd74e-d91a-4082-bb09-39b455871167 · outbound

This paper cites LESS: Selecting influential data for targeted instruction tuning.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach LESS: Selecting influential data for targeted instruction tuning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.293768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 29d266a1-91e0-491a-838b-a72b7343d78c · outbound

This paper cites Qwen3 Technical Report.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Qwen3 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.282343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218cde98-3e6b-4db9-9f13-3d3ca693c9b5 · outbound

This paper cites LIMO: Less is More for Reasoning.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach LIMO: Less is More for Reasoning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.287386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35d7832c-3324-4752-a447-f3e56a5cd410 · outbound

This paper cites FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.292749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08387d16-0279-47a8-9ab6-cd4de1abe519 · outbound

This paper cites Ultramedical: Building specialized generalists in biomedicine.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Ultramedical: Building specialized generalists in biomedicine

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.275617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da40772f-6fea-4073-a3bf-b6bb55e7949d · outbound

This paper cites Lima: Less is more for alignment.Advances in Neural Information Processing Systems, 36:55006–55021, 2023.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Lima: Less is more for alignment.Advances in Neural Information Processing Systems, 36:55006–55021, 2023

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.259155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9cfe0d69-7090-48e0-bedd-aa22b69ac88b · outbound

This paper cites Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.306879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8297b2ac-d6e7-40a3-8f9e-69e7730b7534 · outbound

This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:35.311823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbca146e-c39b-4286-9217-c410be519093 · outbound

This paper cites an unresolved cited work.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:37:36.240812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6504d13-d3db-4cb8-a74d-e7445a917655 · outbound

This paper cites an unresolved cited work.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:37:36.222496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b20636a-983a-4408-a89c-b213b015da3c · outbound

This paper cites an unresolved cited work.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:37:36.206401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ec39648-4ada-4ec2-b5c2-ccff6083aed2 · outbound

This paper cites Level 5 (Excellent): The answer generates a com- prehensive and relevant list of differential diag- noses, including both common and less common but critical possibilities.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Level 5 (Excellent): The answer generates a com- prehensive and relevant list of differential diag- noses, including both common and less common but critical possibilities

Reference 42

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T05:37:36.188339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93db2783-9f17-435e-8eab-1bc0710906b3 · outbound

This paper cites It reflects clinical responsibility and risk management.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach It reflects clinical responsibility and risk management

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:36.171047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 31e12fb2-c410-4082-9303-de5298e134ff · outbound

This paper cites an unresolved cited work.

Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:37:36.152794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.