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Paper Citation Record · LEDGER

Calibration of Large Language Models on Code Summarization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.19318.

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

pith.paper-citation-record.v1
2404.19318 v3

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 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:21:43.347506Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:25:03.693789Z

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 29357c6b-3544-4527-b82e-4fc37a187afe · inbound

Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message cites this paper.

Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message Calibration of Large Language Models on Code Summarization

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-10T19:41:51.234229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:41:51.234229Z digest=sha256:0dafd18902d3cbacdde73511ced007273feee4a7bed45dac17e97f8dc7c3c149

Observation 015673a2-9689-4257-819f-163ebf1e0036 · inbound

Resource-Efficient & Effective Code Summarization cites this paper.

Resource-Efficient & Effective Code Summarization Calibration of Large Language Models on Code Summarization

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-09T04:23:35.067385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:23:35.067385Z digest=sha256:8daaecef8a0cb5b0d5391321a1f4266f2f3037373ab686962cece6289821ab04

Observation da13ef9b-5427-43de-9ef7-b85c50a420fd · inbound

Sustainability via LLM Right-sizing cites this paper.

Sustainability via LLM Right-sizing Calibration of Large Language Models on Code Summarization

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:25:03.696061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T19:24:58.690462Z digest=sha256:c82707bcfd0502bbede1ffa40a93bf95465d7491e684928b9a2408bdf7a036ca

Observation e90ce577-f228-42d9-8fc1-7540d9588eed · inbound

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models cites this paper.

A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models Calibration of Large Language Models on Code Summarization

Reference 141

Resolution
unresolved
no resolver link, observed 2026-08-16T05:21:43.347506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:21:43.347506Z digest=sha256:894401606dba7d1468d812926ecd1456b0bca522a252193b72098e7296808541

Observation e295db81-0340-41cc-a602-fe91e9627d61 · inbound

Maximizing Confidence Alone Improves Reasoning cites this paper.

Maximizing Confidence Alone Improves Reasoning Calibration of Large Language Models on Code Summarization

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T13:07:50.473009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:07:50.473009Z digest=sha256:49bc94e50c4b47cec0bb346c08ccc2f0dcefbe20ac66e9ea5ca24fa3de0064c7

Observation 76ce89f5-f6d0-443d-99e6-dccd7f9038f2 · inbound

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models cites this paper.

Is Quantization a Deal-breaker? Empirical Insights from Large Code Models Calibration of Large Language Models on Code Summarization

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T17:56:21.688996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:56:21.688996Z digest=sha256:6b7b67917653dbd22e646c0bb9337810e80420df93d785664574b068a40da9d8