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Paper Citation Record · LEDGER

An Improved Dung Beetle Optimizer for Random Forest Optimization

As of 12 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2411.17738.

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

pith.paper-citation-record.v1
2411.17738 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:00:42.588311Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:38:51.946016Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation ad6c6586-7574-4878-bb7c-81a9f3c8f20f · outbound

This paper cites A survey of swarm intelligence for dynamic optimization: Algorithms and applications.

An Improved Dung Beetle Optimizer for Random Forest Optimization A survey of swarm intelligence for dynamic optimization: Algorithms and applications

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.900744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.499757Z digest=sha256:77969056bb006aaeb7f20125994bb8575c5b6489ee0165d8f297ffc94a0f720a

Observation b0d19ec4-d6a8-4f76-bbf4-7a2ced4c59a7 · outbound

This paper cites GraphSnapShot: Caching Local Structure for Fast Graph Learning.

An Improved Dung Beetle Optimizer for Random Forest Optimization GraphSnapShot: Caching Local Structure for Fast Graph Learning

Reference 3

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unresolved
no resolver link, observed 2026-08-12T14:00:42.509204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:00:42.509204Z digest=sha256:e72ef7cea99892c0f90d22229f9922d2186b7d1e5f0586e2a5f08d0cad310474

Observation b254142e-3a6f-4c15-a178-6d695daff61d · outbound

This paper cites Text classification optimization algorithm based on graph neural network.

An Improved Dung Beetle Optimizer for Random Forest Optimization Text classification optimization algorithm based on graph neural network

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T14:00:42.513970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:00:42.513970Z digest=sha256:f4925be5b2dcab5804e2fe1e927c213e27bdd0a37c7c5c35622b14430d18a7bd

Observation cc75df7a-118d-4a09-9e15-2d8c90a0cb40 · outbound

This paper cites Theoretical analysis of meta reinforcement learning: generalization bounds and convergence guarantees.

An Improved Dung Beetle Optimizer for Random Forest Optimization Theoretical analysis of meta reinforcement learning: generalization bounds and convergence guarantees

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.886990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.522867Z digest=sha256:c25c8ef1b1fd8f848cbf6102f34521ae385c9479952e778c69a4b37de5618a4b

Observation 68a3d669-83ec-4cb1-a5a5-834605b257d2 · outbound

This paper cites Optimization scheme for text classification using machine learning naïve bayes classifier.

An Improved Dung Beetle Optimizer for Random Forest Optimization Optimization scheme for text classification using machine learning naïve bayes classifier

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.859320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.527423Z digest=sha256:194fca6bf546f484e179f5afad8738f1429ccde3bbb20bbfe39f97450be331d2

Observation a8424728-46f6-42de-a0cc-3931f3415685 · outbound

This paper cites A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning.

An Improved Dung Beetle Optimizer for Random Forest Optimization A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:00:42.643498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.531706Z digest=sha256:c9cf5cbb6dd43583994edd360153ddf16d836fe9c31645c7b9243fb4850a8b4b

Observation efba8abc-1835-43b2-98ae-40638c77ee81 · outbound

This paper cites Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness.

An Improved Dung Beetle Optimizer for Random Forest Optimization Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T14:00:42.536282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:00:42.536282Z digest=sha256:7b5e3a9a3f22d96bc65b3e9754ffabe0a0c6d0f74a44502185c5a569a64655a0

Observation 2a74b152-d5ac-4b55-ab8c-f7a5d43f60ca · outbound

This paper cites Deep Learning Applications in the Medical Image Recognition American Journal of Computer Science and Technology.

An Improved Dung Beetle Optimizer for Random Forest Optimization Deep Learning Applications in the Medical Image Recognition American Journal of Computer Science and Technology

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.845408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.540640Z digest=sha256:65a75f36e7035c63d32b1493070b124c518765efc5d8444f8735fbd796116b89

Observation 1ae3ddf2-0418-4178-91ad-181e0b9270ea · outbound

This paper cites 6: Simultaneous Tracking, Tagging and Mapping for Augmented Reality.

An Improved Dung Beetle Optimizer for Random Forest Optimization 6: Simultaneous Tracking, Tagging and Mapping for Augmented Reality

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.831452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.545036Z digest=sha256:e788e6a5dc9a70f59bbcfb973592036fcb5132992c64f6a886724b75b5dbc76c

Observation f72d61e1-e400-4d89-99bd-ce33f7a39842 · outbound

This paper cites Tie Memories to E-souvenirs: Hybrid Tangible AR Souvenirs in the Museum.

An Improved Dung Beetle Optimizer for Random Forest Optimization Tie Memories to E-souvenirs: Hybrid Tangible AR Souvenirs in the Museum

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.817040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.549375Z digest=sha256:87fb0267306890ae8ab5ef280f1c3aa5173e5eaa3278bd69445f26295b3da698

Observation cbe34f76-b3dd-4c70-afd4-6d1e19ca1a9a · outbound

This paper cites A novel Bayesian Pay-As-You-Drive insurance model with risk prediction and causal mapping.

An Improved Dung Beetle Optimizer for Random Forest Optimization A novel Bayesian Pay-As-You-Drive insurance model with risk prediction and causal mapping

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.802562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 59792335-85d3-4d4c-989d-cde9d8dce083 · outbound

This paper cites Knowledge Graph Embedding and Few-Shot Relational Learning Methods for Digital Assets in USA.

An Improved Dung Beetle Optimizer for Random Forest Optimization Knowledge Graph Embedding and Few-Shot Relational Learning Methods for Digital Assets in USA

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.788558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.558039Z digest=sha256:3f05d8812d9a65b8f2b090955a941da8dfcf59022e6d585bf0fa8ea7e75506fd

Observation b0b49a83-67cc-496d-ab98-5f21c356b6bd · outbound

This paper cites Incorporating economic indicators and market sentiment effect into US Treasury bond yield prediction with machine learning.

An Improved Dung Beetle Optimizer for Random Forest Optimization Incorporating economic indicators and market sentiment effect into US Treasury bond yield prediction with machine learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.773010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.562310Z digest=sha256:416f4ca1b31741527959ed44daad005c4da21bdfd7333dfc1cb3363719109ac4

Observation c8eb2a91-c250-4ebf-b3b7-a6338e0fc7ee · outbound

This paper cites A contrastive deep learning approach to cryptocurrency portfolio with us treasuries.

An Improved Dung Beetle Optimizer for Random Forest Optimization A contrastive deep learning approach to cryptocurrency portfolio with us treasuries

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.758305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.566406Z digest=sha256:e103b9e72b23468343509f2fe47920f215a19682e1ba94d023ddfc07b2897ee3

Observation 7f89cf08-37c2-45d3-8527-41a508425180 · outbound

This paper cites Bio inspired computing–a review of algorithms and scope of applications.

An Improved Dung Beetle Optimizer for Random Forest Optimization Bio inspired computing–a review of algorithms and scope of applications

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.742849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.570641Z digest=sha256:00c6c23909d84e65bf62a9945462f4511d1c865df6e141fd3f0cf29fc6565226

Observation 2bc4ce23-bff5-4aa9-bd77-cde2a6144f94 · outbound

This paper cites Ant colony optimization.

An Improved Dung Beetle Optimizer for Random Forest Optimization Ant colony optimization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.728714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.574644Z digest=sha256:c6b7c3428d6ffb0c56a57027494b043bcfc778b67fe553f3c59e60c9645a7885

Observation b16ba660-0efe-48df-9f70-9abe72b52e3f · outbound

This paper cites Particle swarm optimization (PSO).

An Improved Dung Beetle Optimizer for Random Forest Optimization Particle swarm optimization (PSO)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.714935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.579241Z digest=sha256:1b2e9402cae870695a1aca665e8a631ff8fb8061143ce6aa04900e7cb8a0b029

Observation 372a83f9-5cc2-4d33-8dae-ab03844c19f8 · outbound

This paper cites Dung beetle optimizer: A new meta-heuristic algorithm for global optimization.

An Improved Dung Beetle Optimizer for Random Forest Optimization Dung beetle optimizer: A new meta-heuristic algorithm for global optimization

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.701190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.583284Z digest=sha256:820e517f4b8623a9e8864c3980589a1c16bccd0528cc2d198ce40896f301ddbd

Observation d26b7fe7-22d5-4409-8085-f47240eb51e7 · outbound

This paper cites Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis.

An Improved Dung Beetle Optimizer for Random Forest Optimization Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.686876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.588311Z digest=sha256:ae0ec365e0b553f8e2427478717ff3a2c90acee31883d16ea7ae4c6a4fe0cb75

Observation f3b7a3f8-5533-43d6-b507-dcd7176674bd · outbound

This paper cites 12303, pp.

An Improved Dung Beetle Optimizer for Random Forest Optimization 12303, pp

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:00:42.873204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T14:00:42.518718Z digest=sha256:8f77697b7f3d84d36eb1eb2f17412d4ce04de7ac4504dc8cc1056926e91aba0d

Pith citing papers

Observation a53e439d-c0ce-463d-bc12-e1454c204509 · inbound

Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection cites this paper.

Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection An Improved Dung Beetle Optimizer for Random Forest Optimization

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:38:52.017036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-09T16:38:51.946016Z digest=sha256:660fe9e8dbe65037bf9d3a0ce6238766b83aeed84f205970601080a6a5d02633