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Paper Citation Record · LEDGER

A Survey on Machine Learning Techniques for Source Code Analysis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.09610.

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

pith.paper-citation-record.v1
2110.09610 v2

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:13:30.996063Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:44:18.560102Z

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 18390ecb-edab-44e7-89ee-fe078941f46b · inbound

Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts cites this paper.

Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts A Survey on Machine Learning Techniques for Source Code Analysis

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:44:18.563645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T09:41:00.172667Z digest=sha256:f9c7c421743a35fd0913b159b5602d0f8c238dcee227f07b24a344909405b8e7

Observation e4ab76c1-9d04-43bf-83d5-17e42bb72453 · inbound

CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review cites this paper.

CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review A Survey on Machine Learning Techniques for Source Code Analysis

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:13:30.996063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:13:30.996063Z digest=sha256:68036a8bc893f0e83e52a73d8eec9cb89ad3472a9a7baa8443bd81a27f458038

Observation 576f526a-07d0-4e02-977d-ac1c32da12a6 · inbound

Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks cites this paper.

Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks A Survey on Machine Learning Techniques for Source Code Analysis

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:25:18.473904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T11:23:55.120266Z digest=sha256:44265bc44d0dc352bdffb042f2b387c2b2ef4ae44b82df75d8f0d94e914729f8

Observation 5c458f81-ffc9-4f93-9f53-fc905e6381cb · inbound

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning cites this paper.

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning A Survey on Machine Learning Techniques for Source Code Analysis

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:31.944884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T03:51:13.913362Z digest=sha256:00eb31f9c08ab498795aeaeea936333d4126abf230dce85d09d95816a60ad1d7

Observation b4b3a3cf-31fd-4570-be36-0d78df1ef1ac · inbound

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning cites this paper.

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning A Survey on Machine Learning Techniques for Source Code Analysis

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:45:40.368330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:11:07.274938Z digest=sha256:00c8fac924ed972151bf8581e3994a82322b04e31a1d3975d4a5ec9cdfa7009a