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Paper Citation Record · LEDGER

Understanding plasticity in neural networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.01486.

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

pith.paper-citation-record.v1
2303.01486 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:05.989165Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.627981Z

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 3b90884f-b7af-43f7-80cb-bc0f3a9c0c8a · inbound

Parseval Regularization for Continual Reinforcement Learning cites this paper.

Parseval Regularization for Continual Reinforcement Learning Understanding plasticity in neural networks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:05.989165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:03:05.989165Z digest=sha256:8aebfe0936ec8a98f135b877e4297f028f9a9b8c30d492a9790e3f8a7eb1ac3c

Observation 52ebddde-c63b-4aa7-8d86-4be742286ece · inbound

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps cites this paper.

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Understanding plasticity in neural networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T05:51:10.248896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:51:10.248896Z digest=sha256:fd993e8839273595bccce0106179ddc3e807f46cc38c8ae4100d35e7e8adf56b

Observation 0c5f61b8-a66c-4923-a626-748f3e6bdea9 · inbound

How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.

How Should We Meta-Learn Reinforcement Learning Algorithms? Understanding plasticity in neural networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T14:48:49.023177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:48:49.023177Z digest=sha256:00e67dd7df1aea8523ebd720e258aeb2b1044c812af35d32d8a536d2d44e3ff6

Observation 6ddabb7a-63c1-4621-b418-2853c550c589 · 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 Understanding plasticity in neural networks

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:55:58.953433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:55:19.978358Z digest=sha256:142e40a9d9898ccd8a2a929e900f6f4e31ef01250dfcf400e7938c647e2a4b23

Observation d8f1fadd-0ab0-467c-95d8-e45649d4266f · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Understanding plasticity in neural networks

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.416283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:23ca3f64c4f79c541d562420c032f35ef003253e764cc3f9251318da41b251e6

Observation 66413e34-8b5c-47ce-85a1-e25759c2a5a6 · inbound

SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR cites this paper.

SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR Understanding plasticity in neural networks

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:38:55.629296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T01:15:18.237335Z digest=sha256:f6c05b4c737c07743559fe3e1bcb8eb9082698edc8ffbddb170a2612dd9f66c3

Observation 9cf61bb4-331d-4fd5-915e-e24e1cadee56 · inbound

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

Agentic Safety is an Epistemic Property, Not a Behavioral One Understanding plasticity in neural networks

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:04:37.524271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-30T11:02:47.824120Z digest=sha256:24a2d34fca3b5a53486dc878e0e0f4880f9d85a42346d927236b535751088b78

Observation d801293b-ec87-4ea3-80f9-2314d7b96f16 · inbound

Pessimism's Paradox: Conservative Offline Training Amplifies Reward Hacking During Online Adaptation in Reasoning Models cites this paper.

Pessimism's Paradox: Conservative Offline Training Amplifies Reward Hacking During Online Adaptation in Reasoning Models Understanding plasticity in neural networks

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:54:21.014641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T06:46:02.255137Z digest=sha256:1d40a32faf90654ee2cf6136aabc2cf0c04bcd8f223a24cae05e95d3e43dfb14