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Paper Citation Record · LEDGER

A Survey on Machine Learning Techniques for Source Code Analysis

As of 12 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-24T09:41:00.172667Z digest=sha256:ff62163dcd21f62bee24652386e6910d7eab907fd03338abb9c4d6c5429e0b44

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=sha256:1171f631bfac6bf66e2aec602db079ce65879981a5f30035543078a04df3621d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T11:23:55.120266Z digest=sha256:c8f166669f3750d62934182c79929928f765699e3b6a123d15ea95c3ec53c541

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T03:51:13.913362Z digest=sha256:9956261e55e2b00fea6036085e344fcd3ab7d7156f41b6ad6bec7a2eafb10949

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T18:11:07.274938Z digest=sha256:04b4a3497a6b81a595acedcab1e19e439d72c61428b2332eb2922b86078fa2b5