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Paper Citation Record · LEDGER

Poison Attack and Defense on Deep Source Code Processing Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.17029.

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

pith.paper-citation-record.v1
2210.17029 v1

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:32.310419Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:27:34.562864Z

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 211096e0-83fc-4717-b080-ae9342540dd8 · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models Poison Attack and Defense on Deep Source Code Processing Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:32.310419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:32.310419Z digest=sha256:2e7dfb7ce539f3edb701285b34c0018479531eb9fa2a9c1d1e543d2f2054f027

Observation ff0af0ba-d940-4cf2-8a44-c9068ef14846 · inbound

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? cites this paper.

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? Poison Attack and Defense on Deep Source Code Processing Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:34.037962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:34.037962Z digest=sha256:2f791680dbdc692b941c1a401501987b23523006700d2f53124ed3f91479519d

Observation ccbb58d2-f880-480c-be74-1f6331afe858 · inbound

ATTAIN: Automated Exploit Failure Analysis through Trace-Driven Diff Analysis cites this paper.

ATTAIN: Automated Exploit Failure Analysis through Trace-Driven Diff Analysis Poison Attack and Defense on Deep Source Code Processing Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:27:34.564349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T15:57:55.340084Z digest=sha256:3831b6554ee9d74813779bc60515c0ebd17961a646949cc43b8cd29bdbdd3573