Paper Citation Record · LEDGER

Weight Clipping for Deep Continual and Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.01704.

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

pith.paper-citation-record.v1
2407.01704 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:53:22.641942Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:03:18.160590Z

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 80f6d270-ec17-42c2-949d-16d422423560 · inbound

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

Plasticity Loss in Deep Reinforcement Learning: A Survey Weight Clipping for Deep Continual and Reinforcement Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:03:18.164944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 832b8a69-2141-456c-bedd-4b675cc93be6 · inbound

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

Recovering Plasticity of Neural Networks via Soft Weight Rescaling Weight Clipping for Deep Continual and Reinforcement Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:22.641942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9765521e-8a8f-427d-a4b2-56f39a9d2c5b · inbound

Learning to Forget: Continual Learning with Adaptive Weight Decay cites this paper.

Learning to Forget: Continual Learning with Adaptive Weight Decay Weight Clipping for Deep Continual and Reinforcement Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:31:26.856993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 441cc5d1-9fbd-47c3-ab37-73167d4317dc · inbound

Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts cites this paper.

Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts Weight Clipping for Deep Continual and Reinforcement Learning

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:55:31.459582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8f1a598-b1e2-45a1-a378-808e10d60d1a · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Weight Clipping for Deep Continual and Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:27:24.516052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.