Paper Citation Record · LEDGER

A Simple Baseline for Stable and Plastic Neural Networks

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.10637.

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

pith.paper-citation-record.v1
2507.10637 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:42:27.946643Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

19 of 19 outbound references displayed

verified exact4
verified fuzzy5
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2eeedcaa-31e2-4d14-bc5a-59316bbb5642 · outbound

This paper cites an unresolved cited work.

A Simple Baseline for Stable and Plastic Neural Networks Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:42:29.712943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation adf546d6-ec1f-494b-8b75-f26147a7b1b1 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

A Simple Baseline for Stable and Plastic Neural Networks Imagenet: A large-scale hierarchical image database

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.861687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a7eca70-9126-4b7d-990c-fa68f2ebbc87 · outbound

This paper cites New Insights for the Stability-Plasticity Dilemma in Online Continual Learning.

A Simple Baseline for Stable and Plastic Neural Networks New Insights for the Stability-Plasticity Dilemma in Online Continual Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:28.848081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b49c048-11a0-4e9c-8383-615fe4c44c38 · outbound

This paper cites Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks.

A Simple Baseline for Stable and Plastic Neural Networks Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:26.512653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 178ef652-5158-47ce-9189-4bb6cdbf3d44 · outbound

This paper cites How far can we go without convolution: Improving fully-connected networks.

A Simple Baseline for Stable and Plastic Neural Networks How far can we go without convolution: Improving fully-connected networks

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:28.458628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8f7f54c-368a-433f-a96d-98c13061d90b · outbound

This paper cites Neuroplastic Expansion in Deep Reinforcement Learning.

A Simple Baseline for Stable and Plastic Neural Networks Neuroplastic Expansion in Deep Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:26.794741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf6f188-8372-4213-ad9b-434ccb538907 · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

A Simple Baseline for Stable and Plastic Neural Networks Lifelong Learning with Dynamically Expandable Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:27.205612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba5afff-7bf2-4932-8ed4-919335e54dc6 · outbound

This paper cites : Baby, Dog, Bridge, Bird, Oven A.3 A CTIVATION FUNCTIONS Figure 6 illustrates the activation functions used in our experiments.

A Simple Baseline for Stable and Plastic Neural Networks : Baby, Dog, Bridge, Bird, Oven A.3 A CTIVATION FUNCTIONS Figure 6 illustrates the activation functions used in our experiments

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.767126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5117c48d-fe60-416c-9917-9020f38a0310 · outbound

This paper cites 6 Published at 4th Conference on Lifelong Learning Agents (CoLLAs), 2025 Figure 4: Continual ImageNet (Dohare et al.,.

A Simple Baseline for Stable and Plastic Neural Networks 6 Published at 4th Conference on Lifelong Learning Agents (CoLLAs), 2025 Figure 4: Continual ImageNet (Dohare et al.,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.790522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ec264d4-c8d7-4d79-9d66-0898364e737d · outbound

This paper cites Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion.

A Simple Baseline for Stable and Plastic Neural Networks Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion

Reference 1999

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:42:29.254370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1aeb29c1-86ab-46e9-bfd4-9cd57ab1f937 · outbound

This paper cites A study on the plasticity of neural networks.

A Simple Baseline for Stable and Plastic Neural Networks A study on the plasticity of neural networks

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:25.833464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac7c0b51-1edd-4d8f-b8b4-268c5c654326 · outbound

This paper cites Fine-tuned Language Models are Continual Learners.

A Simple Baseline for Stable and Plastic Neural Networks Fine-tuned Language Models are Continual Learners

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:27.048832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1218d928-219d-4371-a7c7-3767642c2e21 · outbound

This paper cites Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference.

A Simple Baseline for Stable and Plastic Neural Networks Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:26.946850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d90b3ed-1708-4a31-9ffe-4439889297a8 · outbound

This paper cites Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability.

A Simple Baseline for Stable and Plastic Neural Networks Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:25.909229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5103e1ec-13b2-476c-8558-7d46e14c6eb8 · outbound

This paper cites Adaptive Rational Activations to Boost Deep Reinforcement Learning.

A Simple Baseline for Stable and Plastic Neural Networks Adaptive Rational Activations to Boost Deep Reinforcement Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:25.981495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6afbbf6a-bfc6-4747-bafc-fadf08987a85 · outbound

This paper cites Plastic and stable gated classifiers for continual learning.

A Simple Baseline for Stable and Plastic Neural Networks Plastic and stable gated classifiers for continual learning

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.827557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation beaa5017-1ba9-44f9-88db-4f49f4533992 · outbound

This paper cites Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning.

A Simple Baseline for Stable and Plastic Neural Networks Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:26.130424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a16b0bc-c253-4893-aa97-46d8ae3b51a4 · outbound

This paper cites Iv´an Izquierdo, Jorge H Medina, M ˆonica RM Vianna, Luciana A Izquierdo, and Daniela M Barros.

A Simple Baseline for Stable and Plastic Neural Networks Iv´an Izquierdo, Jorge H Medina, M ˆonica RM Vianna, Luciana A Izquierdo, and Daniela M Barros

Reference 2025

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:42:29.575403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb5b6124-897e-4480-b1aa-60f3be5d64d9 · outbound

This paper cites As a result, most activations are zero with zero gradients.

A Simple Baseline for Stable and Plastic Neural Networks As a result, most activations are zero with zero gradients

Reference 5000

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:42:29.738822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.