Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding the Challenges in Iterative Generative Optimization with LLMs
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2603.23994.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-20T03:44:18.658541Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T03:48:03.311334Z
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 34a74e49-1722-40b0-a348-f17a726f47d2 · inbound
Prompt Optimization Is a Coin Flip: Diagnosing When It Helps in Compound AI Systems cites this paper.
Prompt Optimization Is a Coin Flip: Diagnosing When It Helps in Compound AI Systems Understanding the Challenges in Iterative Generative Optimization with LLMs
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-27T03:06:05.043567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7bb8fee3-5956-4ed8-bb20-37f4098c0fe4 · inbound
Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents cites this paper.
Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents Understanding the Challenges in Iterative Generative Optimization with LLMs
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-27T03:06:05.043567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3c629caf-b482-4541-b091-e4d00204ed14 · inbound
What Do Evolutionary Coding Agents Evolve? cites this paper.
What Do Evolutionary Coding Agents Evolve? Understanding the Challenges in Iterative Generative Optimization with LLMs
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-27T03:06:05.043567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.