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Paper Citation Record · LEDGER

Smooth Adversarial Training

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.14536.

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

pith.paper-citation-record.v1
2006.14536 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:58:20.674523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T20:45:27.499761Z

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 ca7c9294-080a-404d-957d-b2c692a14f04 · inbound

Unsolved Problems in ML Safety cites this paper.

Unsolved Problems in ML Safety Smooth Adversarial Training

Reference 205

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:45:27.502156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:45:27.421909Z digest=sha256:5014e06115c3dc6209a373c42aadb39aa396b531160a6044d2d8d97ad322d784

Observation 4ba25560-467f-470d-82f3-48886cb40ec1 · inbound

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks cites this paper.

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks Smooth Adversarial Training

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.674523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.674523Z digest=sha256:32bf88494619f5cb9cbb2819e7fe17e2c16a466c7cc121b31bc34e51e8b15cb8

Observation 5f7d27c0-5fc7-4d29-9214-aba618109788 · inbound

A Composite Activation Function for Learning Stable Binary Representations cites this paper.

A Composite Activation Function for Learning Stable Binary Representations Smooth Adversarial Training

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:07:07.882428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T02:03:42.456988Z digest=sha256:3acd30b3d8e7e6a35342f137e9e018e239b6aecb1259a0102c28fff86bab28c0