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Paper Citation Record · LEDGER

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2002.12920.

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

pith.paper-citation-record.v1
2002.12920 v3

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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:48:46.625865Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

92
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6d29c3ab-5766-45e7-a0cb-7ff5fb0795e8 · inbound

A Scalable Approach to Probabilistic Neuro-Symbolic Robustness Verification cites this paper.

A Scalable Approach to Probabilistic Neuro-Symbolic Robustness Verification Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T05:24:54.893744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:24:54.893744Z digest=sha256:437cde000313bcb60c70ddf913d19d0f9ec8033eda94911ec2c0de86738b0fd8

Observation d624ae71-fffb-40c0-a8d5-b56ee6015daa · inbound

A General Framework for Property-Driven Machine Learning cites this paper.

A General Framework for Property-Driven Machine Learning Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-16T04:48:46.625865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:48:46.625865Z digest=sha256:9453f63d022cbe76450a6a341566fd4a48b0da6cb181b03043d5a4cab4ce28b5

Observation f85e7b55-6053-4c41-90f1-f6e4bdad5485 · inbound

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification cites this paper.

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:32:30.263690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-14T17:29:39.346689Z digest=sha256:cd1db04f223b948d73ed03b8b694cb3b532d3fd2d70049f9aa58232172a864b5

Observation 98dc7a46-54a3-4cfc-a9f2-2ea1e8e07adc · inbound

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification cites this paper.

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:45:05.106973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-15T05:40:16.030363Z digest=sha256:95e25e617b8df872e5454bbad8dfbd722af837f0acdd68faf6b162e421d9156c

Observation 1fdaee0c-3fea-4838-957a-b624149609d0 · inbound

Shifting-based Optimizable Linear Relaxations for General Activation Functions cites this paper.

Shifting-based Optimizable Linear Relaxations for General Activation Functions Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:39:29.739329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T17:53:19.172873Z digest=sha256:e811d1c3191e02f832ec4cc4cfd7bb040f936521f062c0224dfe3f719fc8cd78