Paper Citation Record · LEDGER

Directions of Curvature as an Explanation for Loss of Plasticity

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2312.00246.

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

pith.paper-citation-record.v1
2312.00246 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:21.655160Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:04:37.525456Z

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 d2b2229b-d08e-4891-986c-b45832111925 · inbound

Plasticity Loss in Deep Reinforcement Learning: A Survey cites this paper.

Plasticity Loss in Deep Reinforcement Learning: A Survey Directions of Curvature as an Explanation for Loss of Plasticity

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:03:18.120988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2aa990dd-260d-4548-ac0f-1101d963f5c6 · inbound

Optimizers Qualitatively Alter Solutions And We Should Leverage This cites this paper.

Optimizers Qualitatively Alter Solutions And We Should Leverage This Directions of Curvature as an Explanation for Loss of Plasticity

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:21.655160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b10a0b04-7904-4a8a-8098-b8e2e919d3db · inbound

Activation Function Design Sustains Plasticity in Continual Learning cites this paper.

Activation Function Design Sustains Plasticity in Continual Learning Directions of Curvature as an Explanation for Loss of Plasticity

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:01:23.579449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3bac9d3-3ca0-471d-90a8-dbc043a243f7 · inbound

Do Neural Networks Lose Plasticity in a Gradually Changing World? cites this paper.

Do Neural Networks Lose Plasticity in a Gradually Changing World? Directions of Curvature as an Explanation for Loss of Plasticity

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T03:06:23.641373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92659b02-7dcb-4ee5-8ea0-5512c3ef8fd7 · inbound

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning cites this paper.

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning Directions of Curvature as an Explanation for Loss of Plasticity

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-07-12T19:46:39.624903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31655fab-93f9-44c7-9b44-e4b810de323a · inbound

SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning cites this paper.

SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning Directions of Curvature as an Explanation for Loss of Plasticity

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:11:05.675189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be32af2f-ac8d-48ab-a3b4-a5987671d48c · inbound

SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning cites this paper.

SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning Directions of Curvature as an Explanation for Loss of Plasticity

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:15:55.445437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0657986-81ed-4e0f-af12-d3b3caa6b0c3 · inbound

Attribution-Based Neuron Utility for Plasticity Restoration in Deep Networks cites this paper.

Attribution-Based Neuron Utility for Plasticity Restoration in Deep Networks Directions of Curvature as an Explanation for Loss of Plasticity

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:56.837824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 314096d2-2cc2-49aa-b572-b673730147b5 · inbound

Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective cites this paper.

Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective Directions of Curvature as an Explanation for Loss of Plasticity

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:41:17.739758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31f5484f-9f5a-44ea-93aa-1cb8e40032e6 · inbound

Agentic Safety is an Epistemic Property, Not a Behavioral One cites this paper.

Agentic Safety is an Epistemic Property, Not a Behavioral One Directions of Curvature as an Explanation for Loss of Plasticity

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:04:37.526980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.