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Paper Citation Record · LEDGER

Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.05534.

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

pith.paper-citation-record.v1
2408.05534 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:45:53.844871Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:03:58.382657Z

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 1edae590-5960-47ce-8c35-8b18e18ca455 · inbound

Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement cites this paper.

Towards Conversational Development Environments: Using Theory-of-Mind and Multi-Agent Architectures for Requirements Refinement Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:53.844871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:45:53.844871Z digest=sha256:7940475b078f0a239dfdc1b9915ac6d352b8ac0d2f94f20192736868726fe2c8

Observation b908e65c-c390-4ced-a2e4-7381a862cf45 · inbound

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark cites this paper.

Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T00:55:54.664177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:55:54.664177Z digest=sha256:486e8b35ca9b8d818e21c7c479232f9cbad3608fb6c26b7da177c3a178e8d7da

Observation 60586c25-0478-4c76-8e1e-df1c8846dc31 · inbound

Leveraging Language Models for Log Statement Generation in Multilingual Scenarios: How Far Are We? cites this paper.

Leveraging Language Models for Log Statement Generation in Multilingual Scenarios: How Far Are We? Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:03:58.384176Z

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=2026-06-29T21:03:44.703692Z digest=sha256:dd8ff936093525ee5fc3a1a0694e01daf3cabcb5187660817f251dfe27a75a6a

Observation 2fc61731-528a-44a4-bdfd-c1b9a0419820 · inbound

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering cites this paper.

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T09:21:22.178934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:21:22.178934Z digest=sha256:11b770cf8557a48524ee10b43b6600e9752846f8866ba3cd231c7127bdbb3baf

Observation ca6b15a9-ae78-4ae3-a65f-aed863554a21 · inbound

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering cites this paper.

ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:09.599246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:09.599246Z digest=sha256:4788ccbe528fd7cfd5068f97281a47e24ef7a23167e8832f1544b1632417c7e5