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Paper Citation Record · LEDGER

RAMBO: Enhancing RAG-based Repository-Level Method Body Completion

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.15204.

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

pith.paper-citation-record.v1
2409.15204 v3

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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:05:38.226233Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:58:20.445030Z

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 f468aa35-9b6c-42a9-8ee4-0e3107a34021 · inbound

Does Few-Shot Learning Help LLM Performance in Code Synthesis? cites this paper.

Does Few-Shot Learning Help LLM Performance in Code Synthesis? RAMBO: Enhancing RAG-based Repository-Level Method Body Completion

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T23:05:38.226233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:05:38.226233Z digest=sha256:5b65b1b0b24b4f944039bf8a4dfe1017fb8db16702d15ba2795a92d4949c65db

Observation 8048808c-a0e5-421b-b168-dd1500079faa · inbound

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations cites this paper.

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations RAMBO: Enhancing RAG-based Repository-Level Method Body Completion

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T16:41:31.105508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:41:31.105508Z digest=sha256:aefd92d93780554406f270ad00a602608b42cdfc340af67eada244f7ed3574f1

Observation 4eb6b326-7915-4a32-9cb5-fcb61d1f4412 · inbound

Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning cites this paper.

Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning RAMBO: Enhancing RAG-based Repository-Level Method Body Completion

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:58:20.450398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T10:58:19.737781Z digest=sha256:c96a47e65ffeeed2da62976db630ccf441cbd1c1da031b17c7c5069dfbec5a70