Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AgentRM: Enhancing Agent Generalization with Reward Modeling
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.18407.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:49.996079Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T20:20:07.639558Z
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 75960073-c17a-4b22-a1eb-b9bd92624d67 · inbound
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning cites this paper.
Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning AgentRM: Enhancing Agent Generalization with Reward Modeling
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:49.996079Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf9fdf4f-a4ba-4e57-b9c9-f3686dbf2bf3 · inbound
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents cites this paper.
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents AgentRM: Enhancing Agent Generalization with Reward Modeling
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:34:15.862250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0bc5883-362f-47e2-b5bd-e51e120a841e · inbound
SAND: Boosting LLM Agents with Self-Taught Action Deliberation cites this paper.
SAND: Boosting LLM Agents with Self-Taught Action Deliberation AgentRM: Enhancing Agent Generalization with Reward Modeling
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:47:22.078905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc3c6853-25fa-4ff0-a0d5-6bd34bfbdd3f · inbound
AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction cites this paper.
AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction AgentRM: Enhancing Agent Generalization with Reward Modeling
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:40:44.032643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7d999d4c-8de5-471b-ae07-425c2ea28736 · inbound
Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents cites this paper.
Semantic Consistency Policy Optimization for Reinforcement Learning of LLM Agents AgentRM: Enhancing Agent Generalization with Reward Modeling
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:20:07.641467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.