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Paper Citation Record · LEDGER

Iterative Feature Space Optimization through Incremental Adaptive Evaluation

As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2501.14889.

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

pith.paper-citation-record.v1
2501.14889 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:53:50.626191Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:52:45.575985Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:52:45.736206Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91c9ed58-afeb-4720-99e3-6c257d7d26fb · outbound

This paper cites Feature dimensionality reduction: a review.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Feature dimensionality reduction: a review

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.199992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.466036Z digest=sha256:c9043fb79bc8881a463bd92e7c330614611f2953dc89bd57713844d72f0d30c5

Observation 1f9f5df7-1b3d-4681-9e4b-73f8d92c5c2a · outbound

This paper cites A hybrid artificial immune optimization for high-dimensional feature selection.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A hybrid artificial immune optimization for high-dimensional feature selection

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.189627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.470347Z digest=sha256:2f0ab2a73403a09a5d6788334f5c071bf90ace03a2e773e51f9a8fdd03c1ecf5

Observation f8d0e7c1-2801-47a5-827b-23850ff3bda4 · outbound

This paper cites Survey of feature selection and extraction techniques for stock market prediction.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Survey of feature selection and extraction techniques for stock market prediction

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.179015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.474157Z digest=sha256:17e89dd5ded51731a978b1af0b554d5dd410017ebf7e592990a450e1f1916fc3

Observation c2ea2d91-d14c-405d-aa55-04305e260a51 · outbound

This paper cites A hybrid filter-wrapper feature selection using fuzzy knn based on bonferroni mean for medical datasets classification: A covid-19 case study.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A hybrid filter-wrapper feature selection using fuzzy knn based on bonferroni mean for medical datasets classification: A covid-19 case study

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.168942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.477969Z digest=sha256:4df34047217c3ee93a9167dd90a867b738e9411773f33030d26c3af4fc8e9426

Observation ee241b97-71e8-4a38-8695-d5d24e4ea8df · outbound

This paper cites A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.159098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.481946Z digest=sha256:0180e4c610ac955cb8ac039abf77dfd531ab87a689c665b05b2e40afdd8f94fb

Observation bb86d463-0dfa-4327-94f0-da9b80f040be · outbound

This paper cites Using recursive feature elimination in random forest to account for correlated variables in high dimensional data.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Using recursive feature elimination in random forest to account for correlated variables in high dimensional data

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.149649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.485375Z digest=sha256:984d335f5d71a9636bd25cb6d63dc89ee05b0674d7f91a6bc9b759a49eedb5f2

Observation 4ad6c1d8-04e4-4c0b-bb7d-c3e12ec6e3ef · outbound

This paper cites A systematic literature review: Recursive feature elimination algorithms.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A systematic literature review: Recursive feature elimination algorithms

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.139854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.489230Z digest=sha256:1d9e8f8414b01a974731e2eec41ad1c85cc3239e2fb9724c7c2fd29e9094357b

Observation 5aaeb3c7-a63e-4c5f-8fa1-75c661869d9a · outbound

This paper cites Recursive feature elimination by sensitivity testing.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Recursive feature elimination by sensitivity testing

Reference 8

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unresolved
no resolver link, observed 2026-08-10T14:53:50.492586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:50.492586Z digest=sha256:05533ee6224ad5d8214140348aaf0ab47d44bef49bd02490b423a9f40357488f

Observation f2985c30-01cd-4166-9bd9-fbffe5981269 · outbound

This paper cites Traceable group-wise self-optimizing feature transformation learning: A dual optimization perspective.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Traceable group-wise self-optimizing feature transformation learning: A dual optimization perspective

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.129526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.495955Z digest=sha256:470abbb6a8398fd63b3112a6026434e37c6d7f8ee2a9a7561ad2f4624dc18361

Observation ce197f18-a3a6-43bb-ab1b-11f35663b0d6 · outbound

This paper cites Mel: efficient multi-task evolutionary learning for high-dimensional feature selection.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Mel: efficient multi-task evolutionary learning for high-dimensional feature selection

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.118976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.499309Z digest=sha256:0153c4c29a83bfbf02cbb871bea96b2ae9bd90194b700f1bca31afb22ab057cd

Observation 9edb1d8e-1228-4271-8f9c-f3fd426bc9af · outbound

This paper cites Automated feature selection: A reinforcement learning perspective.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Automated feature selection: A reinforcement learning perspective

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.107699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.502828Z digest=sha256:cfef08b2e056fc9f434f74236affe6d2746ade3ae1e4793ee5e8f87c072d4c71

Observation a885a62c-fadc-45a3-95df-b8eadde2f8a9 · outbound

This paper cites Group-wise reinforcement feature generation for optimal and explainable representation space reconstruction.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Group-wise reinforcement feature generation for optimal and explainable representation space reconstruction

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.095954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.506706Z digest=sha256:93025c0d473340acf56b0492e354ec377f62c3bd612087c859d5a8f276c69a13

Observation d0f8d08e-a33e-48cc-9e34-a375d082b0a7 · outbound

This paper cites Class-incremental learning via dual augmentation.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Class-incremental learning via dual augmentation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.084722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.510158Z digest=sha256:bfdd570c4f5ff8b87c5a85c41ac2ce83013857568ad4c09bb1b471ffe756c797

Observation 22117c93-4b06-4da8-9a34-3f99e9f42c8e · outbound

This paper cites Continual learning strategy in one-stage object detection framework based on experience replay for autonomous driving vehicle.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Continual learning strategy in one-stage object detection framework based on experience replay for autonomous driving vehicle

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.073470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.513422Z digest=sha256:ff5220c990d1b40aba214d6c6896b697fd829c76c6dfc1dd851a548235b44e50

Observation aa0af631-777c-443d-ab70-f1115ae3dc2e · outbound

This paper cites Batch-incremental versus instance-incremental learning in dynamic and evolving data.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Batch-incremental versus instance-incremental learning in dynamic and evolving data

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.063001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.516638Z digest=sha256:a8f82ed4dbc3bcfbde66525725fad71b17007b6bc6e6b9543b7f7380ca40d753

Observation fd498cc5-b241-45e9-b326-6eca8e238078 · outbound

This paper cites Online class-incremental continual learning with adversarial shapley value.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Online class-incremental continual learning with adversarial shapley value

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.052336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.520233Z digest=sha256:8d9c78964ed82f7f7aa328f384376aebc33eb48264d6b2a2d4b3029f448edc7b

Observation 146ed158-3c89-452c-8653-cb45efb40afe · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Overcoming catastrophic forgetting in neural networks

Reference 17

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unresolved
no resolver link, observed 2026-08-10T14:53:50.523603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:50.523603Z digest=sha256:3a469dbd87866f390bcfe0b170043a749c638f7a743b123bc9f250abcb60f394

Observation 65b08e5c-af87-4e29-bbd4-7546e200ec45 · outbound

This paper cites Learning without forgetting.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Learning without forgetting

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T14:53:50.527041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:50.527041Z digest=sha256:8240228d26529989782a3dac2d609eeeb61a1112f5fc13ea16d8516bcffb7702

Observation e2bb9391-f12b-46a8-992d-10d9359e676a · outbound

This paper cites Selective experience replay for lifelong learning.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Selective experience replay for lifelong learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T14:53:50.530325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:50.530325Z digest=sha256:94bafdaad7ea5f19899b7128b97bfa80ec41393850195c7c569c18ef188abc23

Observation 87e3802c-38c8-456f-b85d-8b6eb644c546 · outbound

This paper cites Continual learning with deep generative replay.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Continual learning with deep generative replay

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T14:53:50.533853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:50.533853Z digest=sha256:a41e3b2fcc6fb2f02ee3c740ce603261959d6fa714c30f06a2aef0ce649d4668

Observation 1e54cf1e-e543-4509-b860-d088dbc82328 · outbound

This paper cites Random path selection for continual learning.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Random path selection for continual learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.017552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.536781Z digest=sha256:84b427396ad1124c93a14b921b4cf32b0c01f043f6e142e55573b325c5e78cfe

Observation 0a675870-3478-4d32-aa82-032787df2a64 · outbound

This paper cites Overcoming catastrophic forgetting with hard attention to the task.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Overcoming catastrophic forgetting with hard attention to the task

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T14:53:50.539658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:50.539658Z digest=sha256:e9af7ba4bdbce26e1a493a716cdf3de54cf9a7cf5a9167afd3fb9895c219cdb6

Observation 509041f9-38c9-47e2-9fc7-d839b05eca59 · outbound

This paper cites Progressive neural network-based knowledge transfer in acoustic models.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Progressive neural network-based knowledge transfer in acoustic models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:51.001064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.542467Z digest=sha256:3ee0a8675aa724252be9d21e524009c06a1eb7ae6992a50893c66d4cf5938479

Observation bfd3106a-32a1-409e-8f22-8b0e46d2351b · outbound

This paper cites Expert gate: Lifelong learning with a network of experts.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Expert gate: Lifelong learning with a network of experts

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.991427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 17fb652d-8030-4986-8db9-0769410e78b6 · outbound

This paper cites an unresolved cited work.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-08-10T14:53:50.980466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.548127Z digest=sha256:4e73c977dec42cce8dced4de1677507add338286f026d660f1a55fa48414b635

Observation ada6eab8-d61b-430a-9724-dc618814cfed · outbound

This paper cites Attention is all you need.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Attention is all you need

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T14:53:50.550841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:50.550841Z digest=sha256:bef0489a11b8e20f94c94c5eba17f5f0cdd7e4286a608b5ba195ad3c02e649f3

Observation ea411126-b8de-4bf7-a06d-32da8148cb04 · outbound

This paper cites Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representation.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.963115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.553937Z digest=sha256:3bc791fc26695526042da41cf87bc589a6254ff007f7a1264e27a7cd57c6562b

Observation ab57b379-f429-4959-8027-2da5d13af5a6 · outbound

This paper cites Generating diverse translation by manipulating multi-head attention.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Generating diverse translation by manipulating multi-head attention

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.951660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.557327Z digest=sha256:19db017972e5298315b275d7498dfd938bfda6b8568596a5cae99fec798902cd

Observation 2835a114-2153-4698-a48b-a93d20897150 · outbound

This paper cites Dynamic head: Unifying object detection heads with attentions.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Dynamic head: Unifying object detection heads with attentions

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.940160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.561214Z digest=sha256:d8b19e9d88501f75527fe0baf6bcfbae9ed7e926bd8d8035f92928e2b81793d7

Observation 8f262239-db04-4a1c-9e27-ed97fb9b8ac4 · outbound

This paper cites A survey on swarm intelligence approaches to feature selection in data mining.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A survey on swarm intelligence approaches to feature selection in data mining

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.929435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.564381Z digest=sha256:7d0e08341c9a3a84b7f53b104472671e17c83eca6a1d3833893507b572140657

Observation c3e671eb-0369-426e-b75d-19a4bbef1bcf · outbound

This paper cites A review of feature selection methods for machine learning-based disease risk prediction.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A review of feature selection methods for machine learning-based disease risk prediction

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.917567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.567694Z digest=sha256:60cf4847ef14dd8a795e20612e5dcdc70fc7529c7d583ea1a40fab9fda7a75f7

Observation 5a978e63-73ad-4e25-8451-23e2de4655e4 · outbound

This paper cites A bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.907208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.570949Z digest=sha256:feb413acb13311fead71cc8aa311289f3a0c73e71b40b8bb9075ac4e1a62af24

Observation 9f1a757a-71d6-4dae-ad16-e799f9a50017 · outbound

This paper cites A novel multi-objective forest optimization algorithm for wrapper feature selection.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A novel multi-objective forest optimization algorithm for wrapper feature selection

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.896030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.574499Z digest=sha256:8889797bbaff1ce54d4a67d0fb2c24fd0924ac3218beba093aa58a6096412531

Observation dfcae3f0-378b-4e11-932e-6108df6198c8 · outbound

This paper cites A novel relation aware wrapper method for feature selection.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A novel relation aware wrapper method for feature selection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.886069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.578126Z digest=sha256:4a434fc74e41c04b42e15ad57490e7d7e7b6b39e2e9b272555d4d05f1a2ff55b

Observation 43897e12-dd63-45d2-8295-e6279232ee9c · outbound

This paper cites Gene selection for cancer classification using support vector machines.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Gene selection for cancer classification using support vector machines

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.875797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.581525Z digest=sha256:2db4df8f0bc5c3eeabea471d987e8565a057d4a72be2f6ac08b7201f4b5c60d9

Observation 29b1c253-0d66-420f-a01f-6c8e43d7c49e · outbound

This paper cites A kronecker-factored approximate fisher matrix for convolution layers.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation A kronecker-factored approximate fisher matrix for convolution layers

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T14:53:50.585151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:53:50.585151Z digest=sha256:4908742a9520b144bd4d7b4a35db5ebc9935de48332a91d8de8ac0a5f2acbf25

Observation 76155aaf-f886-4b39-92b0-e72003a9f694 · outbound

This paper cites Openml dataset download.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Openml dataset download

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.858974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.588375Z digest=sha256:6e4969b0d8b1ebba368cfdc214ea6a0d4abd9711c60f864da0959fc95a6bbc59

Observation 14aa033f-93c0-4360-87c3-1d0bbaefb10a · outbound

This paper cites Uci dataset download.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Uci dataset download

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.848379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.591521Z digest=sha256:4c8ccd6739d5ffb0a75e7d6f1e2ee7cb60563f700b60f1ad853b593d7a96a873

Observation 70dd3389-762f-4bed-9f70-af14899fa714 · outbound

This paper cites Kaggle dataset download.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Kaggle dataset download

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.838537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.595982Z digest=sha256:27f77cdffc38033d9bd7e34e25aad6552e0bd50c082559af7d3ddc37717f23bd

Observation 68b9ba76-bfe4-40f8-9fc0-246724dec9db · outbound

This paper cites Simplifying reinforced feature selection via restructured choice strategy of single agent.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Simplifying reinforced feature selection via restructured choice strategy of single agent

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.827924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.599370Z digest=sha256:a6cf34fd5fad1decef0499cfdde3f657d2699541905b2117b31f7bcfee9b1825

Observation 3eb6a215-18e7-4eba-b74f-264e8b600e7b · outbound

This paper cites Selective deep autoencoder for unsupervised feature selection.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Selective deep autoencoder for unsupervised feature selection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.817535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.602655Z digest=sha256:6c16d872cb3b1b24069ea39d783e4705c14ac528597d959c1c918f54822346ef

Observation 7ad0f066-ae32-4e65-95d6-dc472b3af9a8 · outbound

This paper cites Linear regression.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Linear regression

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.807101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.605834Z digest=sha256:f256ed86fdc614c9d514ea1eeae568c4d7353cc39a81fa2ff13701250d9d9dfe

Observation eb53a23c-96bc-4c33-8c9a-fd232e65a384 · outbound

This paper cites Logistic regression was as good as machine learning for predicting major chronic diseases.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Logistic regression was as good as machine learning for predicting major chronic diseases

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.795741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.609096Z digest=sha256:dac5e2196c1d88a1ff64b06aba746521d9b0be8715f3af73f9a19fd113476f34

Observation b85aa63f-7ea2-47f3-9fb4-4a3f52be852e · outbound

This paper cites Predicting restaurant financial distress using decision tree and adaboosted decision tree models.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Predicting restaurant financial distress using decision tree and adaboosted decision tree models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.784646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.613930Z digest=sha256:40e484e12f92ef7b119f211a30b0f4bd9fbd927a07a19fabf91491997067cf6d

Observation 31966da8-6440-41f3-93a4-e3ac5457dda2 · outbound

This paper cites Interpolation of gnss position time series using gbdt, xgboost, and rf machine learning algorithms and models error analysis.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Interpolation of gnss position time series using gbdt, xgboost, and rf machine learning algorithms and models error analysis

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.774625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.617194Z digest=sha256:9e3be216d6e2fdc4fe043363734bf7d9a60bdde7fc1b0aa88630441defd1ba02

Observation d4ecf34b-6bc0-4913-97b9-d64eabd5edf4 · outbound

This paper cites Predicting the carbon dioxide emission caused by road transport using a random forest (rf) model combined by meta-heuristic algorithms.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Predicting the carbon dioxide emission caused by road transport using a random forest (rf) model combined by meta-heuristic algorithms

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.763720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.620459Z digest=sha256:e92a308615007b0ebee58d4a99f124bee8292f81a85ce00551090b9cfe22a348

Observation 9b4af1d5-da0a-49c6-bcee-a75df755723d · outbound

This paper cites Enhancing the prediction of student performance based on the machine learning xgboost algorithm.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Enhancing the prediction of student performance based on the machine learning xgboost algorithm

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.752652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.623379Z digest=sha256:7d5642bfc8860fd1a08e584f9121ded88766e1fc0893951ec237418750f28b6b

Observation 697dfc49-53d9-42f6-95f6-8943ac19a064 · outbound

This paper cites Interpretable deep learning framework for land use and land cover classification in remote sensing using shap.

Iterative Feature Space Optimization through Incremental Adaptive Evaluation Interpretable deep learning framework for land use and land cover classification in remote sensing using shap

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:53:50.740578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T14:53:50.626191Z digest=sha256:320c485607ef13ac44a2a6aad65fb62da87df69eedf22f46b67238f1869d302d

Pith citing papers

Observation 059b9ce7-a4ed-47f1-8815-fa4530d3270e · inbound

GPT-FT: An Efficient Automated Feature Transformation Using GPT for Sequence Reconstruction and Performance Enhancement cites this paper.

GPT-FT: An Efficient Automated Feature Transformation Using GPT for Sequence Reconstruction and Performance Enhancement Iterative Feature Space Optimization through Incremental Adaptive Evaluation

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:52:45.741316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T14:52:45.575985Z digest=sha256:49560b9b1780c8b80ad86041b4604f19d900edec6d00f7101792e1ab40148e6c