Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LangProp: A code optimization framework using Large Language Models applied to driving
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.10314.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:37:23.996661Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T22:43:38.174591Z
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 d0a1977c-a5ba-4768-a8cf-e841bd36be24 · inbound
A Survey on Large Language Models for Code Generation cites this paper.
A Survey on Large Language Models for Code Generation LangProp: A code optimization framework using Large Language Models applied to driving
Reference 114
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:18:06.596337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58c8938a-d0a2-4671-a850-e92fbad0462a · inbound
Hidden Biases of End-to-End Driving Datasets cites this paper.
Hidden Biases of End-to-End Driving Datasets LangProp: A code optimization framework using Large Language Models applied to driving
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:57:16.280111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44948d3e-fbfa-4f6e-aa74-fea5ddde9acf · inbound
AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software cites this paper.
AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software LangProp: A code optimization framework using Large Language Models applied to driving
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:37:23.996661Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a5ff651-88e5-44e0-90d1-65417051c023 · inbound
Learning Game-Playing Agents with Generative Code Optimization cites this paper.
Learning Game-Playing Agents with Generative Code Optimization LangProp: A code optimization framework using Large Language Models applied to driving
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:56:09.684492Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77594dfa-7b66-4415-b445-cbb2b1607439 · inbound
PerfCoder: Large Language Models for Interpretable Code Performance Optimization cites this paper.
PerfCoder: Large Language Models for Interpretable Code Performance Optimization LangProp: A code optimization framework using Large Language Models applied to driving
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:43:38.176406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.