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Paper Citation Record · LEDGER

Can Large Language Models Improve SE Active Learning via Warm-Starts?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.00125.

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

pith.paper-citation-record.v1
2501.00125 v1

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 2026-08-07T10:46:15.742893Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:06:28.902148Z

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 7f370f30-7aa2-469f-ba7d-5f4ce36bf1f3 · inbound

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets cites this paper.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets Can Large Language Models Improve SE Active Learning via Warm-Starts?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:15.742893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:15.742893Z digest=sha256:256fddfea270b90f889af3b35a0fd4439c519cfb2c2cadb259665e0dd34c6f95

Observation 36e70056-d6aa-409a-a6fc-c2b3eb5705b9 · inbound

Zoom, Don't Wander: Why Regional Search Outperforms Pareto Reasoning and Global Optimization in Budget-Constrained SBSE cites this paper.

Zoom, Don't Wander: Why Regional Search Outperforms Pareto Reasoning and Global Optimization in Budget-Constrained SBSE Can Large Language Models Improve SE Active Learning via Warm-Starts?

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:06:28.905544Z

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=2026-05-12T03:45:36.581896Z digest=sha256:203991b37be6e1cbb6bfa93d9e1d4fb428cb6edd127e8f317decc8bebfa0eeae

Observation 1ce5f4f3-f3c5-47f3-ad58-167cc274c52b · inbound

When to Use Which? Benchmarking Optimisers for Configurable Systems under Varying Budgets cites this paper.

When to Use Which? Benchmarking Optimisers for Configurable Systems under Varying Budgets Can Large Language Models Improve SE Active Learning via Warm-Starts?

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-01T20:56:17.925706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:56:17.925706Z digest=sha256:3bb85493ed7aa6454c82b37c57d92944eeb11cafaf0578323f79b48563f3d453