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Paper Citation Record · LEDGER

Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1906.04893.

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

pith.paper-citation-record.v1
1906.04893 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:29.075947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:34:29.415228Z

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 f5823ddb-b50f-4a7d-b730-9943da548d0f · inbound

Robust Optimal Safe and Stability Guaranteeing Reinforcement Learning Control for Quadcopter cites this paper.

Robust Optimal Safe and Stability Guaranteeing Reinforcement Learning Control for Quadcopter Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T12:42:29.075947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:42:29.075947Z digest=sha256:09e0e55b91fc9780f2e3cc4f0b2dbf7a82c50252c7638958d4016ed4f6c17602

Observation 20bc2f1d-7bb7-4236-a38a-7fd3040d3fdc · inbound

Parallel Decoder Transformer: Planner-Conditioned Latent Coordination for Model-Intrinsic Parallel Generation cites this paper.

Parallel Decoder Transformer: Planner-Conditioned Latent Coordination for Model-Intrinsic Parallel Generation Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T17:22:03.253228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:22:03.253228Z digest=sha256:96b7353a8c257c38e55aa172eadb49ca181a55df155e7f8fbf986c7eab26e390

Observation 9ebf826c-5c6b-4646-86e6-2598678badf9 · inbound

Does Order Matter : Connecting The Law of Robustness to Robust Generalization cites this paper.

Does Order Matter : Connecting The Law of Robustness to Robust Generalization Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T21:15:39.327019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T21:15:39.327019Z digest=sha256:2cb75ee85babb89124c7f38db64c93ea2c0fe0f01d85a74cb3bc2150bd767c68

Observation b5f5816a-c16a-449a-b53b-88e84fd7337e · inbound

A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning cites this paper.

A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:34:29.417731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T10:31:06.865302Z digest=sha256:ae013667d7c21237dc3c3714992e2b4e4287fe7d56ec5328a0d3b8695a41790d