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Paper Citation Record · LEDGER

Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.05405.

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

pith.paper-citation-record.v1
2006.05405 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:11:17.652951Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:14:10.481607Z

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 0c5b1933-a647-45ec-86f1-668f8edda85b · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-24T08:14:10.485441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T08:11:01.612343Z digest=sha256:9d1c26cace8c9bdd3f5a30dd6f2754e247e066896d3c8598621359490befa398

Observation fa3f9530-f6c6-4b31-880c-146378ec7203 · inbound

Enhancing RLHF with Human Gaze Modeling cites this paper.

Enhancing RLHF with Human Gaze Modeling Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:17.652951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:17.652951Z digest=sha256:43753a326a5ff49ec3f3fd390316bf7cfa7358c4d75044467e899fac1b9a581f

Observation 38a33b32-fd3c-4b05-a619-1daed30e5708 · inbound

When Retriever Meets Generator: A Joint Model for Code Comment Generation cites this paper.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T16:48:43.667824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:48:43.667824Z digest=sha256:d71d351d1ce99630366ba9f4bf3cbe075a0256a2de8def4d94081d09ed5e5f1e

Observation 2fc4872d-eaeb-49b2-8827-d0b4c6728872 · inbound

ChatVis: Large Language Model Agent for Generating Scientific Visualizations cites this paper.

ChatVis: Large Language Model Agent for Generating Scientific Visualizations Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T11:07:33.302255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:07:33.302255Z digest=sha256:9461886cc7b3d3679e580aec08b88082cac87e6168cc762503a732ef6ed7245f

Observation 8cb71730-16b2-47e4-b21e-8dfb622ffcb6 · inbound

Prompt-Driven Code Summarization: A Systematic Literature Review cites this paper.

Prompt-Driven Code Summarization: A Systematic Literature Review Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:35:18.536141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T11:35:12.299549Z digest=sha256:3e60e3c5a66d0dd6988ecf89bd89d1ea3459be8f2c9997c4c0727a1cdee5cf2c

Observation a7a5e415-af22-4359-b9ee-4d20cadf0940 · inbound

Programmers Are Poor and Overconfident Judges of LLM-Generated Assertions cites this paper.

Programmers Are Poor and Overconfident Judges of LLM-Generated Assertions Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 50

Resolution
unresolved
no resolver link, observed 2026-07-13T06:02:23.896682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:02:23.896682Z digest=sha256:2c10c290d0399341eb83108f756436d5658df17105bc6d08e46aa93f5aa7c63e