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Paper Citation Record · LEDGER

Ensemble Models for Neural Source Code Summarization of Subroutines

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.11423.

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

pith.paper-citation-record.v1
2107.11423 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 2026-08-08T14:01:12.335003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:41.591717Z

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 52654754-43dc-4f5a-b60a-5d83d7546614 · inbound

SnipGen: A Mining Repository Framework for Evaluating LLMs for Code cites this paper.

SnipGen: A Mining Repository Framework for Evaluating LLMs for Code Ensemble Models for Neural Source Code Summarization of Subroutines

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T14:01:12.335003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:01:12.335003Z digest=sha256:f55351316dd34a3d836a1ad07ed186b64500a3ca987f0d27b7a759a48f4279df

Observation 2fc6d39f-b77c-4443-accc-95aaa364033d · inbound

Towards a Science of Causal Interpretability in Deep Learning for Software Engineering cites this paper.

Towards a Science of Causal Interpretability in Deep Learning for Software Engineering Ensemble Models for Neural Source Code Summarization of Subroutines

Reference 146

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:57.607033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:29:57.607033Z digest=sha256:3bd47ba1bc98a3b51fee2c69218eae440ed6f9ca1a4ec573e50032c5bef37c95

Observation d1bf5aaf-ed1f-4e9e-aafb-36caa0c7e870 · inbound

Natural Language-Focused Software Engineering via Code-Documentation Equivalence cites this paper.

Natural Language-Focused Software Engineering via Code-Documentation Equivalence Ensemble Models for Neural Source Code Summarization of Subroutines

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:41.593310Z

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=2026-06-26T11:24:30.932755Z digest=sha256:984c165866b6c7b83d5551cf56cc28713e1693b79a232e06777765bdc39dad69