Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T14:31:50.820212Z
Paper Citation Record · LEDGER
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement
As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.07318.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact3
- verified fuzzy4
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch6
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d3623b93-53a7-491c-ae53-d7af6bde8d58 · outbound
This paper cites Qingpeng Cai, Will Shiao, Jilong Xue, Li He, Kun Gai, Li Chen, and Peng Jiang.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement Qingpeng Cai, Will Shiao, Jilong Xue, Li He, Kun Gai, Li Chen, and Peng Jiang
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T14:36:17.688208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c6cca84-3be5-4047-9a6c-291575fe7868 · outbound
This paper cites InProceedings of the ACM Web Conference 2023, pages 1037–1047.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement InProceedings of the ACM Web Conference 2023, pages 1037–1047
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T14:36:17.690049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ff8ca1d1-ce7f-4037-9508-f677cc570bd7 · outbound
This paper cites Training-free group relative policy optimization, October 2025.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement Training-free group relative policy optimization, October 2025
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-09T14:36:17.500510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 239be57d-dc82-428b-9e38-965556617ec9 · outbound
This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T14:36:17.477325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7a1ea9e5-29a3-4947-9ce0-6daead90f9ba · outbound
This paper cites Deyi Ji, Yuekui Yang, Liqun Liu, Peng Shu, Haiyang Wu, Shaogang Tang, Xudong Chen, Shaoping Ma, Tianrun Chen, and Lanyun Zhu.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement Deyi Ji, Yuekui Yang, Liqun Liu, Peng Shu, Haiyang Wu, Shaogang Tang, Xudong Chen, Shaoping Ma, Tianrun Chen, and Lanyun Zhu
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T14:36:17.684355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 30082f1e-45be-480a-9e48-f0f333b6c999 · outbound
This paper cites MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T14:36:17.488295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation aa92860e-64d6-4f28-b1c4-f0e272d82c53 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T14:36:17.473787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ca2a6865-c252-4039-b33a-255a6c5898eb · outbound
This paper cites Reward Is Enough: LLMs Are In-Context Reinforcement Learners.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement Reward Is Enough: LLMs Are In-Context Reinforcement Learners
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T14:36:17.484492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0778f361-65e1-4f62-999b-de9e5601986d · outbound
This paper cites Agent kb: Leveraging cross-domain experience for agentic problem solving.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement Agent kb: Leveraging cross-domain experience for agentic problem solving
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-09T14:36:17.480821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6898d6bc-99d1-46aa-a26d-31c89428ebda · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement LLaMA: Open and Efficient Foundation Language Models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T14:36:17.491487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 872330c1-2950-4524-91ba-1f110004674d · outbound
This paper cites InProceedings of the 2025 Conference on Empirical Methods in Natu- ral Language Processing, pages 9589–9603.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement InProceedings of the 2025 Conference on Empirical Methods in Natu- ral Language Processing, pages 9589–9603
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T14:36:17.686618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f3cc316b-20df-4c6a-b250-f9d7846ec964 · outbound
This paper cites Qwen3 Technical Report.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement Qwen3 Technical Report
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T14:36:17.496727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b2ec0c5b-0afa-4c1f-9cc1-58abd6e08368 · outbound
This paper cites Gpr: Towards a generative pre-trained one-model paradigm for large-scale advertising recommendation.
R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement Gpr: Towards a generative pre-trained one-model paradigm for large-scale advertising recommendation
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-07-09T14:36:17.503409Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.