Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards an Understanding of Large Language Models in Software Engineering Tasks
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.11396.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:44:51.715251Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T03:58:51.419271Z
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 f06601e7-6ebb-4b9a-a879-216c6ff1b62c · inbound
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? cites this paper.
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Towards an Understanding of Large Language Models in Software Engineering Tasks
Reference 145
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T14:02:01.274249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fd0b371c-f90d-4996-bdb3-a2ad72b8a069 · inbound
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Towards an Understanding of Large Language Models in Software Engineering Tasks
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:58:51.422402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9bd672ba-b2cd-46d9-bb69-b3e9d2d6b03e · inbound
Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.
Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Towards an Understanding of Large Language Models in Software Engineering Tasks
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-23T18:43:19.168296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d5ecd1a3-b52e-42c6-abfb-4daa79345337 · inbound
Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models cites this paper.
Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models Towards an Understanding of Large Language Models in Software Engineering Tasks
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:44:51.715251Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60071b77-a760-4c29-abd8-e8b7ee75eb1c · inbound
Story Point Estimation Using Large Language Models cites this paper.
Story Point Estimation Using Large Language Models Towards an Understanding of Large Language Models in Software Engineering Tasks
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T15:30:07.557102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.