Paper Citation Record · LEDGER

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence

As of 5 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2511.14823.

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

pith.paper-citation-record.v1
2511.14823 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:12:46.999729Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

36 of 36 outbound references displayed

verified exact11
verified fuzzy25
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9415208-c2d9-4341-b4d5-84726ea396de · outbound

This paper cites Why do gestures matter? sensuous cognition and the palpability of mathematical meanings.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Why do gestures matter? sensuous cognition and the palpability of mathematical meanings

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.052930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 079a5946-fe0b-485f-bc2d-d498cf877abe · outbound

This paper cites Attention is all you need.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Attention is all you need

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.050520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a5cb4b12-d37d-4b98-88c1-1ac44bc9d61a · outbound

This paper cites An integral-differential probabilistic fusion framework of yolo v8 and gpt-4o for high-fidelity tiny object recognition and collision threat confidence in autonomous driving.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence An integral-differential probabilistic fusion framework of yolo v8 and gpt-4o for high-fidelity tiny object recognition and collision threat confidence in autonomous driving

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.055497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7aa5980a-87bc-4dea-be34-0fe0b57d8c5a · outbound

This paper cites Nested learning: The illusion of deep learning architectures.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Nested learning: The illusion of deep learning architectures

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.057659Z

Source-reported events for the cited work

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Observation 0838d829-c529-4ad0-ba9b-0464cfdfbca8 · outbound

This paper cites Geyolo-ahc: A hybrid graph-enhanced framework with adaptive heat conduction for scalable, real-time object detection.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Geyolo-ahc: A hybrid graph-enhanced framework with adaptive heat conduction for scalable, real-time object detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.079780Z

Source-reported events for the cited work

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Observation 3a98f663-373e-4ebb-a9c2-0f2f13006118 · outbound

This paper cites A philosophical view on singularity and strong ai.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence A philosophical view on singularity and strong ai

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.047194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0708283-d40a-468a-af9b-8006e17e974d · outbound

This paper cites Large language models: assessment for singularity.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Large language models: assessment for singularity

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.040115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2c75924b-36d5-486a-a860-162289bc0e9f · outbound

This paper cites A mathematical framework for ai singularity: Conditions, bounds, and control of recursive improvement.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence A mathematical framework for ai singularity: Conditions, bounds, and control of recursive improvement

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:15:10.603606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 09f4cf3c-a562-4170-aa81-235b55a829c9 · outbound

This paper cites Evonet: A self-evolving neural architecture with dynamic topological adaptation for lifelong learning keywords.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Evonet: A self-evolving neural architecture with dynamic topological adaptation for lifelong learning keywords

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.042287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9da57fb-37cc-4b96-9bde-4f4865a938de · outbound

This paper cites Non-stationary bandits under recharging payoffs: Improved planning with sublinear regret.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Non-stationary bandits under recharging payoffs: Improved planning with sublinear regret

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.027931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 75065adf-eb8b-404e-b1b5-badd1678e5cc · outbound

This paper cites Drae: Dynamic retrieval-augmented expert networks for lifelong learning and task adaptation in robotics.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Drae: Dynamic retrieval-augmented expert networks for lifelong learning and task adaptation in robotics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.031056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e45a818c-754a-43c9-acdd-e2223d38ed90 · outbound

This paper cites Ni-sscl: A neuroplasticity-inspired method for semi-supervised continual learning.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Ni-sscl: A neuroplasticity-inspired method for semi-supervised continual learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.033307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b13bb9cc-7b9a-4702-9d15-8a60d02c44c8 · outbound

This paper cites Replay and ripples in humans.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Replay and ripples in humans

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.035746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 80406996-c0cd-477b-800b-e3682baf8878 · outbound

This paper cites Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:15:10.618244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dad5ba3c-cca5-4c30-8e2f-26444b52a7b2 · outbound

This paper cites Neuroplasticity subserving motor skill learning.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Neuroplasticity subserving motor skill learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.037999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1d19bd00-c450-4363-b377-325e92c2a6d9 · outbound

This paper cites Rethinking Continual Learning for Autonomous Agents and Robots.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Rethinking Continual Learning for Autonomous Agents and Robots

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.590261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2836acf6-3a31-4543-8ee5-1cd3def43b28 · outbound

This paper cites Online continual learning on sequences.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Online continual learning on sequences

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.064099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eae6ca9e-a22d-4481-98ce-5df154a28e06 · outbound

This paper cites Mechanisms of gamma oscillations.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Mechanisms of gamma oscillations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.025896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6640e5f0-c0ef-4c50-9cbc-36ffae45d630 · outbound

This paper cites The organization of behavior.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence The organization of behavior

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.023346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c30905db-57f8-4970-a0cc-319a17ec7f08 · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Approximation by superpositions of a sigmoidal function

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.070727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aaf7c9a0-3ef4-4317-b937-d8fa933310e7 · outbound

This paper cites Introduction to online convex optimization.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Introduction to online convex optimization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.045033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1771d151-f4ac-4314-8a7b-4e5a47f99d3f · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Retentive Network: A Successor to Transformer for Large Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.574990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 43adce6b-a8cc-4ae9-b115-613e90358a6d · outbound

This paper cites Feature pyramid hierarchy based deltanet network for insulator defect detection.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Feature pyramid hierarchy based deltanet network for insulator defect detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.075348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f913773-78ee-417c-9d4b-0b7690d68451 · outbound

This paper cites Delta-net: Deep dual-domain alternating optimization network for high pitch helical ct reconstruction.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Delta-net: Deep dual-domain alternating optimization network for high pitch helical ct reconstruction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.061946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 041644e9-80b4-4585-99df-b25a70571bd6 · outbound

This paper cites Titans: Learning to Memorize at Test Time.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Titans: Learning to Memorize at Test Time

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.585105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c787588-573b-49f4-9c1b-25592c9a7ebc · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.580344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ddeef5f6-50f2-4f4c-bc9e-de407b2f5e61 · outbound

This paper cites Scalable language modeling: Wikitext-103 on a single gpu in 12 hours.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Scalable language modeling: Wikitext-103 on a single gpu in 12 hours

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.072969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1d404868-6da2-4c7f-b642-3e5e8f963bfe · outbound

This paper cites The lambada dataset: Word prediction requiring a broad discourse context.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence The lambada dataset: Word prediction requiring a broad discourse context

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.066333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3de5b121-242d-4395-ab66-29c473de1f24 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Piqa: Reasoning about physical commonsense in natural language

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.068692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 237e36dc-60a0-4789-815d-ab91086c5ffa · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.599433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2568039-c6da-4f09-877d-869a4840aa21 · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Winogrande: An adversarial winograd schema challenge at scale

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.077600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d8bfe73-7716-4adc-943b-364df692fe14 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.613214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc54bbda-dc71-4377-80b5-70d180c8cbba · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence SocialIQA: Commonsense Reasoning about Social Interactions

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.608359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d038427-8b72-4b9e-b2d3-f8f0972fccfe · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.622499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 586b7447-037d-4410-ae37-d0aa79e7f97e · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:15:10.595005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2197b96b-0612-49f9-bccb-3640f11e4f94 · outbound

This paper cites Longbench: A bilingual, multitask benchmark for long context understanding.

Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Longbench: A bilingual, multitask benchmark for long context understanding

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:15:11.059815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.