Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sparse Rewards Can Self-Train Dialogue Agents
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.04617.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:20:30.924964Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T15:01:31.346814Z
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 c1cac734-bc74-4806-ab7b-15c7a44c6f55 · inbound
Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions cites this paper.
Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions Sparse Rewards Can Self-Train Dialogue Agents
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T15:01:31.350419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 20d99a4f-11f2-4944-b987-753ae45f1b6c · inbound
Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning cites this paper.
Learning from Environmental Feedback: Credit Assignment across Multiple Timescales for Agentic Reinforcement Learning Sparse Rewards Can Self-Train Dialogue Agents
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:20:30.924964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.