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Paper Citation Record · LEDGER

Calibration of Large Language Models on Code Summarization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:50.473009Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T19:24:58.690462Z digest=sha256:ce4c7d2d855e0d9f24b5e039c627093c43b1bcfd4d3fc7c10a0d2154a46908f2

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=sha256:110492f48f61e8071b38cd51deb5ddea372b5dbbeec3ba5b61e8eb4ef71bbb60

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:fd609620eff5edec1e44beef1466794e2111590f2f9299e491c3dfd411f6306c