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Paper Citation Record · LEDGER

Code Summarization with Structure-induced Transformer

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.14710.

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

pith.paper-citation-record.v1
2012.14710 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:32:03.324065Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:56:11.878796Z

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 129d47aa-c4cf-4eab-b7af-c1fdac64973e · inbound

Can Large Language Models Serve as Evaluators for Code Summarization? cites this paper.

Can Large Language Models Serve as Evaluators for Code Summarization? Code Summarization with Structure-induced Transformer

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T04:32:03.324065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:32:03.324065Z digest=sha256:70ed01b4062d87776ea8c3f2d0818e8bded3a6b8f75a737289b60220150d18aa

Observation c2207858-ff2c-4a01-ab66-b70b1bb9eb30 · inbound

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection cites this paper.

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection Code Summarization with Structure-induced Transformer

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:56:11.882663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T16:05:56.166885Z digest=sha256:fbc3104c192fa2bfd189235cd90d2008f4d41a7b2ca34846efbfa09c3ffc24bc