Paper Citation Record · LEDGER

Learning Continually by Spectral Regularization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.06811.

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

pith.paper-citation-record.v1
2406.06811 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:21:45.177682Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:06.975725Z

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 10889e72-1624-4875-b87d-730575acaf2f · inbound

Reinitializing weights vs units for maintaining plasticity in neural networks cites this paper.

Reinitializing weights vs units for maintaining plasticity in neural networks Learning Continually by Spectral Regularization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T10:21:45.177682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a76c88a3-e3b7-4608-bdde-4e1c450d2fe1 · inbound

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

Attribution-Based Neuron Utility for Plasticity Restoration in Deep Networks Learning Continually by Spectral Regularization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:56.841524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ec14619-68aa-49f3-8e0b-34c367b7f2d9 · inbound

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models cites this paper.

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models Learning Continually by Spectral Regularization

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:00:54.975635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3f66ff6-b7b6-472e-b0f1-1c29959bb542 · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Learning Continually by Spectral Regularization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:27:24.463517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f32335f-6019-4775-ae25-1e6824a3bdb9 · inbound

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation cites this paper.

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Learning Continually by Spectral Regularization

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:02:27.140695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28235396-db36-4ddc-b2dd-192285cf5891 · inbound

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation cites this paper.

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Learning Continually by Spectral Regularization

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:09:28.754745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca6b1dd5-d9bc-4bc1-86d5-132f8a0655ed · inbound

Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods cites this paper.

Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods Learning Continually by Spectral Regularization

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:30:06.977253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.