The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning | Paper Citation Record

Observation 87c359e7-fa03-4ae5-83f8-e96a7cfc49f0 · outbound

This paper cites Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition,

Reference 1

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Unresolved cited work

Reference 2

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Observation f389d9a2-3b33-4003-915e-48af6f8a5cdb · outbound

This paper cites Understanding machine learning: From theory to algorithms,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Understanding machine learning: From theory to algorithms,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:46.006472Z

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Observation 71a4810a-1077-4720-9510-f39dcea2ab8e · outbound

This paper cites Catastrophic interference in connection- ist networks: The sequential learning problem,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Catastrophic interference in connection- ist networks: The sequential learning problem,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:46.166077Z

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Catastrophic forgetting in connectionist networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:46.410325Z

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This paper cites Continual lifelong learning with neural networks: A review,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Continual lifelong learning with neural networks: A review,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:46.583567Z

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This paper cites Buzs ´aki,Rhythms of the Brain.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Buzs ´aki,Rhythms of the Brain

Reference 7

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This paper cites The columnar organization of the neocortex,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The columnar organization of the neocortex,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:46.750476Z

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This paper cites A hierarchy of temporal receptive windows in human cortex,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning A hierarchy of temporal receptive windows in human cortex,

Reference 9

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This paper cites The architecture of complexity,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The architecture of complexity,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:47.007516Z

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This paper cites A global geometric framework for nonlinear dimensionality reduction,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning A global geometric framework for nonlinear dimensionality reduction,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:47.160605Z

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This paper cites Testing the manifold hypothesis,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Testing the manifold hypothesis,

Reference 12

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This paper cites Gromov,Metric Structures for Riemannian and Non-Riemannian Spaces.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Gromov,Metric Structures for Riemannian and Non-Riemannian Spaces

Reference 13

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Unresolved cited work

Reference 14

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This paper cites Catastrophic forgetting, rehearsal and pseudorehearsal,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Catastrophic forgetting, rehearsal and pseudorehearsal,

Reference 15

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This paper cites Prioritized Experience Replay.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Prioritized Experience Replay

Reference 16

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Overcoming catas- trophic forgetting in neural networks,

Reference 17

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This paper cites Feudal reinforcement learning,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Feudal reinforcement learning,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:48.093171Z

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Hierarchical reinforcement learning with the maxq value function decomposition,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:48.202529Z

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This paper cites Benefits of depth in neural networks,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Benefits of depth in neural networks,

Reference 20

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This paper cites Proto-value functions: A laplacian framework for learning representation and control in markov decision processes,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Proto-value functions: A laplacian framework for learning representation and control in markov decision processes,

Reference 21

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This paper cites A comprehensive survey of continual learning: Theory, method and application,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning A comprehensive survey of continual learning: Theory, method and application,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:48.587376Z

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Reference 23

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This paper cites Vershynin,High-Dimensional Probability: An Introduction with Applications in Data Science.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Vershynin,High-Dimensional Probability: An Introduction with Applications in Data Science

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:48.809653Z

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Reference 25

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Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:49.061479Z

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Observation 17566e0e-16fb-4b23-838e-096aeafd2856 · outbound

This paper cites Gromov,Metric Structures for Riemannian and Non-Riemannian Spaces.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Gromov,Metric Structures for Riemannian and Non-Riemannian Spaces

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:49.164867Z

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This paper cites On the gromov–hausdorff distance,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning On the gromov–hausdorff distance,

Reference 28

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This paper cites Diffusion maps,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Diffusion maps,

Reference 29

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Observation c0f8495a-86c5-4981-ab13-1d41f7bb8d71 · outbound

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Burago, Y

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:49.466366Z

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This paper cites The hippocampus as a cognitive graph.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The hippocampus as a cognitive graph

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:49.536216Z

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This paper cites Memory, navigation and theta rhythm in the hippocampal-entorhinal system,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Memory, navigation and theta rhythm in the hippocampal-entorhinal system,

Reference 32

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This paper cites Simplified neuron model as a principal component analyzer,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Simplified neuron model as a principal component analyzer,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:49.665038Z

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Observation 5b3b11e1-e5bd-4822-8769-381467fadad4 · outbound

This paper cites Optimal unsupervised learning in a single-layer linear feedforward neural network,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Optimal unsupervised learning in a single-layer linear feedforward neural network,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:49.782703Z

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Observation 3f404564-2056-40ad-803c-a217e51704db · outbound

This paper cites Reactivation of hippocampal ensemble memories during sleep,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Reactivation of hippocampal ensemble memories during sleep,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:49.861059Z

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Observation 3d87dec5-1cbc-42fc-b857-f7be6f70b2fc · outbound

This paper cites Hierarchical process memory: memory as an integral component of information processing,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Hierarchical process memory: memory as an integral component of information processing,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:50.008069Z

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Observation 2ac6198b-0926-40e4-9d6f-d6726a829133 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning A continual learning survey: Defying forgetting in classification tasks,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:50.141989Z

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Observation b9459fe4-d97c-4889-9256-2a51c17d8ec4 · outbound

This paper cites The Homological Brain: Parity Principle and Amortized Inference.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The Homological Brain: Parity Principle and Amortized Inference

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:50.255939Z

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Observation 4bb05a04-f9cb-4c1e-b3aa-83e3f2db75ed · outbound

This paper cites Active inference: a process theory,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Active inference: a process theory,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:50.406322Z

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Observation b4becc62-f718-478f-ab94-dcce1afb04a9 · outbound

This paper cites Memory consolidation,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Memory consolidation,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:50.564236Z

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Observation 7e21813f-afca-4a01-8905-1b9bc1da9a58 · outbound

This paper cites Relationships between nondeterministic and deterministic tape complexities,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Relationships between nondeterministic and deterministic tape complexities,

Reference 41

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Observation ac3c856d-4dd8-4586-ae32-c1fa842e18fc · outbound

This paper cites Shawe-Taylor and N.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Shawe-Taylor and N

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:50.814298Z

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Observation 5263b9b7-234d-48cb-a822-33f9ef80f2c7 · outbound

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Willard,General topology

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:50.962435Z

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Observation 437e7f6f-2368-4011-acaa-95eab114fcbf · outbound

This paper cites Bellman,Dynamic Programming.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Bellman,Dynamic Programming

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:51.070727Z

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Observation dd355730-2046-4025-96d0-3bc61206d3db · outbound

This paper cites The theta-gamma neural code,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The theta-gamma neural code,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:51.210170Z

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Observation 968599b9-da6d-47a2-bc46-a5065be801c5 · outbound

This paper cites The hippocampo-neocortical dialogue,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The hippocampo-neocortical dialogue,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:51.286465Z

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This paper cites Theory of Deep Learning III: explaining the non-overfitting puzzle.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Theory of Deep Learning III: explaining the non-overfitting puzzle

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:51.402132Z

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Observation e6ccd7e4-c49e-49c5-b445-19ce51144afb · outbound

This paper cites Hatcher,Algebraic topology, 2005.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Hatcher,Algebraic topology, 2005

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:51.500247Z

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Observation fed5ce68-d56f-42ae-a309-902deba26ce9 · outbound

This paper cites Kahneman,Thinking, fast and slow.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Kahneman,Thinking, fast and slow

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:51.560896Z

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Unresolved cited work

Reference 50

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Observation a9f5fd20-cb13-4a0b-8c58-3dadc4a874b7 · outbound

This paper cites Nakahara,Geometry, topology and physics.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Nakahara,Geometry, topology and physics

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:51.722054Z

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Observation be149ce9-c1a2-4a6b-945c-9ce3576216b3 · outbound

This paper cites Amortized inference in probabilistic reasoning,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Amortized inference in probabilistic reasoning,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:51.783909Z

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Observation ab776e95-654a-4b2d-aea9-c1ed7f89f13e · outbound

This paper cites The magical number seven, plus or minus two: Some limits on our capacity for processing information.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The magical number seven, plus or minus two: Some limits on our capacity for processing information

Reference 53

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This paper cites Canonical microcircuits for predictive coding,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Canonical microcircuits for predictive coding,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:52.083468Z

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Observation ef24c3df-0e4c-41f6-a678-9b7a5aae8db0 · outbound

This paper cites The “wake-sleep.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The “wake-sleep

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:52.174189Z

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:52.233536Z

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Observation 7a4b5f7c-401c-4c7c-bd1c-bf8c312170da · outbound

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Pearl,Causality

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:52.286416Z

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Observation 1b8f829c-cfe7-446f-b02f-046fe4b0e3b5 · outbound

This paper cites Hippocampal place-cell sequences depict future paths to remembered goals,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Hippocampal place-cell sequences depict future paths to remembered goals,

Reference 58

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Observation 68bfc725-2bb7-45bb-88e5-b3d824689d90 · outbound

This paper cites The mechanisms for pattern completion and pattern separation in the hippocampus,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The mechanisms for pattern completion and pattern separation in the hippocampus,

Reference 59

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Observation 9d2fad0c-ec09-44d9-adca-6869f058b10b · outbound

This paper cites The importance of mixed selectivity in complex cognitive tasks,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning The importance of mixed selectivity in complex cognitive tasks,

Reference 60

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Observation 6b1f2402-aec3-4ceb-9f3a-733f836ab67d · outbound

This paper cites Linking connectivity, dynamics, and computations in low-rank recurrent neural networks,.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Linking connectivity, dynamics, and computations in low-rank recurrent neural networks,

Reference 61

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This paper cites an unresolved cited work.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:52.673678Z

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Observation c311f8c9-9abd-44fa-b4d5-671ddb2e6caa · outbound

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Building machines that learn and think like people,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:52.834485Z

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Unavailable: canonical work link unavailable.

Observation 43bf53f5-fea6-41f5-8e7e-0c853ad95230 · outbound

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning How does the brain solve visual object recognition?

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:52.946134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccdbd48d-da8b-43cd-959d-839996904ee1 · outbound

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Predictive reward signal of dopamine neurons,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:53.054471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b5a5b4e-66a1-4ee8-829f-62a0dbaf4513 · outbound

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Prefrontal phase locking to hippocampal theta oscillations,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:53.168467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c05e28be-7775-4cf7-9ebe-279136ea2658 · outbound

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The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:53.301077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59798aff-ba17-46d0-a175-d149326a1a96 · outbound

This paper cites an unresolved cited work.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:53.432158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c37b68f1-867b-4827-b039-3a07093fa1b2 · outbound

This paper cites an unresolved cited work.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:53.537887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06bb7b55-df65-48aa-b420-66e95cbff7e0 · outbound

This paper cites an unresolved cited work.

The Urysohn Ladder: Recursive Metric Contraction for Scalable Continual Learning Unresolved cited work

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T15:02:53.641160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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