Paper Citation Record · LEDGER

Net2Net: Accelerating Learning via Knowledge Transfer

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:1511.05641.

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

pith.paper-citation-record.v1
1511.05641 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:35.221598Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T04:35:57.543400Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation 90988fc7-2396-4064-b4f1-a4388c4c10cf · inbound

NetTailor: Tuning the Architecture, Not Just the Weights cites this paper.

NetTailor: Tuning the Architecture, Not Just the Weights Net2Net: Accelerating Learning via Knowledge Transfer

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-25T12:36:57.690706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3646f82-f29f-4abe-990e-8829052c57c9 · inbound

AutoML: A Survey of the State-of-the-Art cites this paper.

AutoML: A Survey of the State-of-the-Art Net2Net: Accelerating Learning via Knowledge Transfer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T15:38:07.046462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 808eaa92-d94d-44de-b1d9-5515a4faed9b · inbound

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions cites this paper.

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions Net2Net: Accelerating Learning via Knowledge Transfer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T12:02:20.537938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 309e13fe-cc8d-4736-a778-8cbd0b89ba1a · inbound

Patient Knowledge Distillation for BERT Model Compression cites this paper.

Patient Knowledge Distillation for BERT Model Compression Net2Net: Accelerating Learning via Knowledge Transfer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T11:18:24.010774Z

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Observation 11b79ed5-8371-4510-81a8-03c363a75637 · inbound

Unsupervised Deep Feature Transfer for Low Resolution Image Classification cites this paper.

Unsupervised Deep Feature Transfer for Low Resolution Image Classification Net2Net: Accelerating Learning via Knowledge Transfer

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T11:01:51.963882Z

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Observation 1ae6acfe-8513-42b3-8de2-393d8c2b4edd · inbound

Language Models as Knowledge Bases? cites this paper.

Language Models as Knowledge Bases? Net2Net: Accelerating Learning via Knowledge Transfer

Reference 140

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:51:45.685447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4714c8b0-9347-4564-aadf-470d38e2cdf4 · inbound

Dota 2 with Large Scale Deep Reinforcement Learning cites this paper.

Dota 2 with Large Scale Deep Reinforcement Learning Net2Net: Accelerating Learning via Knowledge Transfer

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:18:15.739586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2985e36f-9222-4db7-a991-ca76a87cb4d8 · inbound

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition cites this paper.

Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition Net2Net: Accelerating Learning via Knowledge Transfer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T20:22:43.587757Z

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Observation ef5aa67b-1515-43d9-9064-5449ac1ba57f · inbound

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization cites this paper.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Net2Net: Accelerating Learning via Knowledge Transfer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:35:08.370595Z

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Observation f8854e6f-d5cc-4f02-8646-5033c8e0cbc7 · inbound

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer cites this paper.

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer Net2Net: Accelerating Learning via Knowledge Transfer

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T23:37:12.543368Z

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Observation 7cb399b9-10f1-4eef-a836-8f9184ab22d9 · inbound

Scaling Laws for Upcycling Mixture-of-Experts Language Models cites this paper.

Scaling Laws for Upcycling Mixture-of-Experts Language Models Net2Net: Accelerating Learning via Knowledge Transfer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T10:21:00.667613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4707cc99-010e-4f24-b773-94edf14dc961 · inbound

A multilevel approach to accelerate the training of Transformers cites this paper.

A multilevel approach to accelerate the training of Transformers Net2Net: Accelerating Learning via Knowledge Transfer

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:35.221598Z

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Observation f95f26d9-6cdb-4f37-8263-e00fb9bced6f · inbound

Steepest Descent Density Control for Compact 3D Gaussian Splatting cites this paper.

Steepest Descent Density Control for Compact 3D Gaussian Splatting Net2Net: Accelerating Learning via Knowledge Transfer

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:09:44.647933Z

Source-reported events for the cited work

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Observation 8c98a0cb-1238-48f8-90b9-f1feca96ce33 · inbound

FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures cites this paper.

FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures Net2Net: Accelerating Learning via Knowledge Transfer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:45:38.894021Z

Source-reported events for the cited work

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Observation e6990d48-c7e5-4391-90a4-2dd1a0992a5b · inbound

TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition cites this paper.

TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition Net2Net: Accelerating Learning via Knowledge Transfer

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:39:23.510447Z

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Unavailable: canonical work link unavailable.

Observation 3a4c911d-d773-4658-a688-3a11c0b4a262 · inbound

Adaptive Neural Quantum States: A Recurrent Neural Network Perspective cites this paper.

Adaptive Neural Quantum States: A Recurrent Neural Network Perspective Net2Net: Accelerating Learning via Knowledge Transfer

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T18:12:54.785982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c18910-086a-4b5a-9138-ff0f90057fa7 · inbound

Expandable Residual Approximation for Knowledge Distillation cites this paper.

Expandable Residual Approximation for Knowledge Distillation Net2Net: Accelerating Learning via Knowledge Transfer

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T17:36:32.539517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5086abc5-286b-4fa9-bde2-8334b87fcc53 · inbound

Expand Neurons, Not Parameters cites this paper.

Expand Neurons, Not Parameters Net2Net: Accelerating Learning via Knowledge Transfer

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T11:33:13.904579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1560b3-b762-4cb3-baae-83a0222f7463 · inbound

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts cites this paper.

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts Net2Net: Accelerating Learning via Knowledge Transfer

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-21T20:40:36.440694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 81d9c704-8602-456c-abc2-a92a67d28ab6 · inbound

SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning cites this paper.

SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning Net2Net: Accelerating Learning via Knowledge Transfer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T05:27:09.289771Z

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Unavailable: canonical work link unavailable.

Observation aa02a7ae-b41d-4300-bfb3-aed49cd7cbe1 · inbound

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies cites this paper.

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies Net2Net: Accelerating Learning via Knowledge Transfer

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:20:16.728293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55f679c6-ba15-46fa-bbb3-428a3d0f3502 · inbound

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models cites this paper.

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models Net2Net: Accelerating Learning via Knowledge Transfer

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.726237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71a3dc5a-1ad0-4268-820a-15c2f94a5e22 · inbound

Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling cites this paper.

Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling Net2Net: Accelerating Learning via Knowledge Transfer

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:41:04.732732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40252340-89ec-40f5-a084-ae734ffb82b4 · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts Net2Net: Accelerating Learning via Knowledge Transfer

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:29:21.511321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7af2ccc-27eb-4b95-a796-6d2225adee62 · inbound

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts cites this paper.

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts Net2Net: Accelerating Learning via Knowledge Transfer

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:06:15.350089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c65603ee-4ebb-49e1-bab9-7dff067d9473 · inbound

Recursive Block-Diagonal Coupling for Resource-Efficient Training of Vision Models cites this paper.

Recursive Block-Diagonal Coupling for Resource-Efficient Training of Vision Models Net2Net: Accelerating Learning via Knowledge Transfer

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T04:45:19.989550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1739ee4f-aafd-4686-8263-3f7f2b0629c9 · inbound

PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization cites this paper.

PRISM: Synergizing Vision Foundation Models via Self-organized Expert Specialization Net2Net: Accelerating Learning via Knowledge Transfer

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:36:27.246361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af783732-6037-44ee-ba36-c46a55a80944 · inbound

RADIO1D: Elastic Representations for Condensed Vision Modeling cites this paper.

RADIO1D: Elastic Representations for Condensed Vision Modeling Net2Net: Accelerating Learning via Knowledge Transfer

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T01:07:20.766474Z

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Observation 4ac569aa-1ed1-414f-8abf-94f37ff639ae · inbound

An optimal control approach for neural network architecture adaptation with a posteriori error estimation cites this paper.

An optimal control approach for neural network architecture adaptation with a posteriori error estimation Net2Net: Accelerating Learning via Knowledge Transfer

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-09T04:35:57.544585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.