Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SEM: Reinforcement Learning for Search-Efficient Large Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2505.07903.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:29:35.794563Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T09:31:11.937369Z
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 9064441a-04bc-4858-bf9f-bd04b31bf99b · inbound
Agent Safety Alignment via Reinforcement Learning cites this paper.
Agent Safety Alignment via Reinforcement Learning SEM: Reinforcement Learning for Search-Efficient Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:29:35.794563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fc0de39-e2eb-4722-8243-8b926e3cfd52 · inbound
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation cites this paper.
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation SEM: Reinforcement Learning for Search-Efficient Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T09:31:11.940223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 95b4252b-c880-4a14-a0ed-67176bc84e92 · inbound
The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination cites this paper.
The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination SEM: Reinforcement Learning for Search-Efficient Large Language Models
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T04:10:51.348978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b8a3aff5-de53-45f6-96fa-e4a7aee233b5 · inbound
Reinforcement Learning for Large Language Model Selective Evidence Adoption from Contaminated Retrieval Results cites this paper.
Reinforcement Learning for Large Language Model Selective Evidence Adoption from Contaminated Retrieval Results SEM: Reinforcement Learning for Search-Efficient Large Language Models
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:51:01.292059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.