Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.12043.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:47:17.029983Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T00:41:04.130067Z
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 8f281f62-c071-42f5-bcbb-b289ceb2afa5 · inbound
MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning cites this paper.
MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:47:17.029983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9abd6403-e251-4e82-87ad-ecd495aae956 · inbound
Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval cites this paper.
Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:23:39.650901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68580d74-498c-4a1c-9954-8622951c473e · inbound
Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding cites this paper.
Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding MoL for LLMs: Dual-Loss Optimization to Enhance Domain Expertise While Preserving General Capabilities
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:41:04.133973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.