Pith. sign in

Paper Citation Record · LEDGER

Weight Clipping for Deep Continual and Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:30:58.968601Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T18:02:30.199552Z digest=sha256:bbc8a8c178465465ff9a992a1e427359acab728e62ab58fd70747f9e8511a076

Observation fcf21677-ff28-48d4-9f1e-24e8dbacde2d · inbound

Generative Adversarial Networks Bridging Art and Machine Intelligence cites this paper.

Generative Adversarial Networks Bridging Art and Machine Intelligence Weight Clipping for Deep Continual and Reinforcement Learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-08T23:30:58.968601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:30:58.968601Z digest=sha256:0943f835f72abed8f06e52c4f183863cf5f80a1cf6c1481f661c446a886028ea

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.

source=pdf_text observed=2026-08-06T19:53:22.641942Z digest=sha256:32a7052e34cb40859ac8dda81c5c2530d32d3e9ddda04c0ee33765d632500b83

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-07T10:36:32.096050Z digest=sha256:d167a43f2daa499580f6d901b5c828daf60d9af8c8b85f9d28284ba840f9d289

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T19:19:21.824354Z digest=sha256:53d3e727e364518ae8669bc111554c7f320da5d81f0a5a23289b127aafbe2c4a

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:bb2e9e57abefba4f3de6027ce19309492a0a4229009095afa3773e3dff64d675