Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.01185.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:22:21.989034Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T22:51:53.231599Z
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 ce778516-c4fe-4db9-ab78-6c322cc1dcad · inbound
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering cites this paper.
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:28:48.287110Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aad75b1e-9cac-42e9-bce5-274d4fd151ce · inbound
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems cites this paper.
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
Reference 137
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:51:53.237486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e5a1dc18-5ae2-46f8-b349-9a40537cb3b5 · inbound
Adversarial Testing in LLMs: Insights into Decision-Making Vulnerabilities cites this paper.
Adversarial Testing in LLMs: Insights into Decision-Making Vulnerabilities Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:22:21.989034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.