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Paper Citation Record · LEDGER

A Review of Formal Methods applied to Machine Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2104.02466.

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

pith.paper-citation-record.v1
2104.02466 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:24:06.611830Z

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

3
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 fbccc91b-2b42-44d8-babe-c97c593e29ef · inbound

The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways cites this paper.

The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways A Review of Formal Methods applied to Machine Learning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T20:43:27.083077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:43:27.083077Z digest=sha256:ef30390ab150596a520ff535a5933ea6cac0dff52fa2cb7b90bf70da634e836a

Observation 65f91e0d-0c94-44c6-901c-617e3289714d · inbound

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate? cites this paper.

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate? A Review of Formal Methods applied to Machine Learning

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-16T12:24:06.611830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:24:06.611830Z digest=sha256:2c4b5fa3c1a2060a406af3259ae71af01b65a4082a2e175411abf66f068c5dba

Observation d33f7dd0-c9a8-43db-9345-4358bd6fb7e0 · inbound

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

A General Framework for Property-Driven Machine Learning A Review of Formal Methods applied to Machine Learning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T04:48:46.585741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:48:46.585741Z digest=sha256:6c449710d8e4636dff4848c78d7db1db72074e18baa147ceae92b325c9836e86

Observation 6f1dab7d-c33f-488e-9ce9-06291837a14f · inbound

Faster Verified Explanations for Neural Networks cites this paper.

Faster Verified Explanations for Neural Networks A Review of Formal Methods applied to Machine Learning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:31:28.450925Z

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=2026-05-17T03:31:10.191431Z digest=sha256:64b66e16a0ef6c6404a8f7998b61fc31570a88f61d4077c16847bcaecb8a55ab

Observation e77969b6-3f0c-45e9-8d8e-091c30cab419 · inbound

BEAVER: An Efficient Deterministic LLM Verifier cites this paper.

BEAVER: An Efficient Deterministic LLM Verifier A Review of Formal Methods applied to Machine Learning

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T01:58:51.293482Z

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=2026-05-17T01:58:44.719715Z digest=sha256:e76c9b71fa5286c39c13d39e9e8286c38098a3758a303f8892cd4b2274a7a9d9

Observation 0e4c92a6-f8bb-4802-9a27-77f3646fa528 · inbound

Certified geometric robustness -- Super-DeepG cites this paper.

Certified geometric robustness -- Super-DeepG A Review of Formal Methods applied to Machine Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:06:14.834359Z

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=2026-05-08T03:28:10.229659Z digest=sha256:344b6e3dd151d6599ea6da3f36b95c61c508382b04e28f11507b23bb7641a588

Observation 5f3c0e99-27a4-40d2-a1ee-c622de73cf20 · inbound

Verification of Neural Networks (Lecture Notes) cites this paper.

Verification of Neural Networks (Lecture Notes) A Review of Formal Methods applied to Machine Learning

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:46:12.686367Z

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=2026-05-07T14:23:25.631206Z digest=sha256:0e942e59779dcaa07eb6a3adc44ac1b1800b212142c614ea182969f6103ee990

Observation 467128ce-d417-4c68-91ca-498837c83272 · inbound

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

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification A Review of Formal Methods applied to Machine Learning

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:32:30.540711Z

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:be328ee5dbd939041300ef81f826cbb32c35744ba43bc6f0639bfc6b575b1e4b

Observation 11bc4178-56b1-47ee-96d1-eb4ebc179219 · inbound

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

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification A Review of Formal Methods applied to Machine Learning

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:45:05.450952Z

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=sha256:674d22a2eda7c26deeeea8533a9eb58701c1ad7504554855111f481116246e33

Observation db4b159b-7f6a-45b2-bf4b-1846c6d8266b · inbound

Ceci n'est pas une pipe: AI systems as semantic abstractions cites this paper.

Ceci n'est pas une pipe: AI systems as semantic abstractions A Review of Formal Methods applied to Machine Learning

Reference 94

Resolution
unresolved
no resolver link, observed 2026-07-13T02:40:34.279112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T02:40:34.279112Z digest=sha256:2b5213d9280f48165fa647bb4c0336ad69d52163f69d4c6dddbf03463fc4b8ee