Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Composing Policy Gradients and Prompt Optimization for Language Model Programs
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2508.04660.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T23:27:38.492107Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-15T05:19:45.649723Z
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 06c08a80-087b-44d7-b3d9-3dffe953b6bf · inbound
Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs cites this paper.
Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs Composing Policy Gradients and Prompt Optimization for Language Model Programs
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:27:38.492107Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e740241-909c-433f-b377-86568cea36a2 · inbound
Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.
Learning, Fast and Slow: Towards LLMs That Adapt Continually Composing Policy Gradients and Prompt Optimization for Language Model Programs
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:07:18.525124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9b133ca8-3b8f-4e2a-9286-4e9a87a319a5 · inbound
Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.
Learning, Fast and Slow: Towards LLMs That Adapt Continually Composing Policy Gradients and Prompt Optimization for Language Model Programs
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:19:45.652980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1bb7ea02-4660-41cf-bac3-dcbf028a1f63 · inbound
From Agent Failures to Text Policies: What Works and What Breaks cites this paper.
From Agent Failures to Text Policies: What Works and What Breaks Composing Policy Gradients and Prompt Optimization for Language Model Programs
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T09:43:58.250297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.