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Paper Citation Record · LEDGER

Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:20:48.430892Z

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 cbb663ca-e99b-46b8-b065-aa8e1c247304 · inbound

Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants cites this paper.

Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants Can LLMs Replace Manual Annotation of Software Engineering Artifacts?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T11:20:48.430892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:20:48.430892Z digest=sha256:665c649737d6dc12482a4a82288eaa216bcbcbe540496c74ae8280a49a797bd4

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=sha256:471893cf18546fc009f4244edb8b151d303ca1995d19f4c7cc4f718289b7c4b0

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=sha256:20c467d73f996c2d3d393d8ccc052cc33a837bfb8393693d745d6fdec0a0afa3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T21:03:44.703692Z digest=sha256:49e58400ebf29850cd7a13fbc5bf6fb4f3a002dd65023f4d70e57ce8e171c3d8

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=sha256:85ea9a72456c1de64503472652cd686ee83ee4be935f993f305a64a114b05e57

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=sha256:217102eb3b2898f89b636657d10042df6da81bab47555c76c1791345023b8b6a