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Paper Citation Record · LEDGER

Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2406.02596.

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

pith.paper-citation-record.v1
2406.02596 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:38:06.671373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:49:45.643005Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5dc7c4bc-bac8-4aef-bf3c-837808add9d5 · inbound

Preserving Plasticity in Continual Learning with Adaptive Linearity Injection cites this paper.

Preserving Plasticity in Continual Learning with Adaptive Linearity Injection Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T21:33:59.034776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:33:59.034776Z digest=sha256:829757d6b8a27ed0a8f9320fab47aa54b43848bd22cc4669e89de8b0c9b770cb

Observation ffd089dd-42eb-4230-bd46-73206291d18d · inbound

Recovering Plasticity of Neural Networks via Soft Weight Rescaling cites this paper.

Recovering Plasticity of Neural Networks via Soft Weight Rescaling Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:23.212007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:53:23.212007Z digest=sha256:0cbac8d99186d249690c4fef2a9898de3625dfd86a956dbf9679b9390cbf987e

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

A Simple Baseline for Stable and Plastic Neural Networks cites this paper.

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.

source=pdf_text observed=2026-08-06T17:42:26.512653Z digest=sha256:12e390af3c61ccc5a72120beaa75352aa6a718f3b86d74726e1a1978ca813bf1

Observation f31e223d-ed04-4978-b17c-ea41dc475b74 · inbound

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes cites this paper.

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:49.456993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:49.456993Z digest=sha256:51c52154e2ae2e9b0166fd8abf4f774fb320bc714a04979061c1742fa076c2c6

Observation 49c88cb4-8ef3-4756-9411-7671451229cf · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:15:49.790439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T20:04:56.512544Z digest=sha256:e42cd748fb332bdb24a86a83755593e2983e84e1e85809f1bb0cd7e125a0a608

Observation 067ef0a9-fa1e-4f63-8a33-04bb20ebaadb · inbound

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control cites this paper.

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:12:41.375942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T17:08:31.770889Z digest=sha256:13ad3e0a38533d8181809fb72c2816559072405dbad2db3f0aa3ee19915b7edd

Observation 0c76c794-8a12-4c00-8095-5a1b1600f720 · inbound

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks cites this paper.

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:55:58.947609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:55:19.978358Z digest=sha256:e0c5ff7938a7cb5a02d0f0ddd522dc9aa34af6567fa2e316621645eaa2388567

Observation ec4c2042-aa0d-4e31-9cd0-a1a3ba690824 · inbound

C-voting: Confidence-Based Test-Time Voting without Explicit Energy Functions cites this paper.

C-voting: Confidence-Based Test-Time Voting without Explicit Energy Functions Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:05:24.952928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T13:02:52.920735Z digest=sha256:b9c34c95739f3e968a223bb45beef3617326deacea6d62a86a48c2e42166ecd2

Observation 87d2804d-f76f-430e-9e27-7f69e2d45b49 · inbound

Balancing Plasticity and Stability with Fast and Slow Successor Features cites this paper.

Balancing Plasticity and Stability with Fast and Slow Successor Features Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:24:00.757804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-29T22:16:25.136354Z digest=sha256:43c01b54cad4a13b896dd33da4372253018f892a58d5100963cd317366f28cf1

Observation 461870a2-4fd7-48ce-9bed-c2f10d417315 · inbound

EMAgnet: Parameter-Space EMA Regularization for Policy Gradient Self-Play in Large Games cites this paper.

EMAgnet: Parameter-Space EMA Regularization for Policy Gradient Self-Play in Large Games Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:49:45.644943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T08:32:51.215581Z digest=sha256:0420402218baa194f49b2d94c44c728420626a8f3dbbd0c5ece7fb7cb2c17357

Observation 0165518d-d6da-4831-8f33-afa3515f3912 · inbound

Relative Value Learning cites this paper.

Relative Value Learning Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T08:32:00.061250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:32:00.061250Z digest=sha256:62171cf67005485b78d2ad81d79fab456a4f8ac2e1cda830cdf041d9818842b8

Observation 6d7acf43-61a9-4d23-a1dd-307e33330d93 · inbound

NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning cites this paper.

NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-08T19:13:08.490432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T19:13:08.490432Z digest=sha256:602327c22bb68189483289d62afd67574b980f61838a6df65c82b95c6fdbdcfb

Observation 43394d8e-99f9-4a89-9a34-460e5d33158c · inbound

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control cites this paper.

V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 203

Resolution
unresolved
no resolver link, observed 2026-08-12T00:48:46.112443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:48:46.112443Z digest=sha256:c49754c79f9e8fcb7ea5fa57dbdcc15e5f07befad65ac291a80c3e28740d7976

Observation ec8737d8-593f-4c3b-9cc0-cd25f1ca00b6 · inbound

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning cites this paper.

Sustaining Plasticity via Learnable Wavelet Activations in Continual Learning Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T21:38:06.671373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:38:06.671373Z digest=sha256:df04fd3da8c3cf5f3048b61ddb5d6f11b9957563ba66d19fe3fbc859807cbd40