Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-02T22:10:59.568675Z
Paper Citation Record · LEDGER
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
As of 6 August 2026, this Paper Citation Record lists 100 of 237 outbound references and 1 inbound Pith citation observation for arXiv:2606.15079.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-08T10:00:02.677030Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T10:04:51.447850Z
Reference resolution
100 of 237 outbound references displayed
- verified exact11
- verified fuzzy30
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch56
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 018c02fa-b5fb-4ab4-a5aa-e3ae1eeb1ad8 · outbound
This paper cites Skywork Open Reasoner 1 Technical Report.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Skywork Open Reasoner 1 Technical Report
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.608939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 71f971eb-8b53-45ac-959e-b8cc27569b82 · outbound
This paper cites 2025 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , eprint=
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.510639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60ce043a-c6b1-466a-b563-0bef6b4800fe · outbound
This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Understanding R1-Zero-Like Training: A Critical Perspective
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.665004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c0f01ac-bdad-4f80-9ad5-52151924c290 · outbound
This paper cites 2023 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2023 , eprint=
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.498714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60a0c84a-874c-4334-8c1e-4ca3e8a0e1e3 · outbound
This paper cites 2021 , url=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2021 , url=
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.496817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4485ce45-517a-4f29-81a8-38a516b38fde · outbound
This paper cites The Open Images Dataset V4 , journal=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale The Open Images Dataset V4 , journal=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.606745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6fcd767d-38f7-4c14-9f47-3c4f4ef56a00 · outbound
This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.663846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d94b88ac-673a-4177-9dad-8f3729af4dc5 · outbound
This paper cites The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore , year=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore , year=
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.482573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 590e827e-125e-4bc3-894d-55a05269a8f6 · outbound
This paper cites 2024 , url=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2024 , url=
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.604714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b428d440-dbb6-4f23-94ef-820c10d84236 · outbound
This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.678621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 99c1c147-8f4b-4258-a4dc-b8a4213af520 · outbound
This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.610442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f388934-1d56-4163-94c4-e6ecacc1aa58 · outbound
This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale OpenHands: An Open Platform for AI Software Developers as Generalist Agents
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.486678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f5237801-7309-472c-a8ef-86e6f5696db0 · outbound
This paper cites ARC-AGI-2: A New Challenge for Frontier.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale ARC-AGI-2: A New Challenge for Frontier
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.523046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6e43da8d-feb9-4cd2-a2fd-9fabd55d7f5f · outbound
This paper cites GAIA: a benchmark for General AI Assistants.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale GAIA: a benchmark for General AI Assistants
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:17:25.534873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c375d98d-1fe2-49af-b150-dddcdac2b883 · outbound
This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.666642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f92b9dc3-7969-4da1-bd14-96c7c6b4ae57 · outbound
This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.572009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5661e374-a02c-45cf-b528-d14e17d70af7 · outbound
This paper cites an unresolved cited work.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T19:11:21.564983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1df9e685-deaa-48ce-9585-a8263e36ca81 · outbound
This paper cites Kimi K2.5: Visual Agentic Intelligence.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Kimi K2.5: Visual Agentic Intelligence
Reference 19
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.415739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a0167b8c-a1ae-4750-9f5e-f152df2e4ae0 · outbound
This paper cites Kimi K2: Open Agentic Intelligence.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Kimi K2: Open Agentic Intelligence
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.414028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1243fdec-a184-4404-9d65-d20e018a1098 · outbound
This paper cites OpenAI GPT-5 System Card.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale OpenAI GPT-5 System Card
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.580709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f10f1f86-0410-4f36-92ea-0bdd16ac5122 · outbound
This paper cites YaRN: Efficient Context Window Extension of Large Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale YaRN: Efficient Context Window Extension of Large Language Models
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.619745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b362b211-c6f8-46a3-b1e9-5cddb78ce14e · outbound
This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Reference 23
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.391960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8f808b6e-4103-4b9d-a5bb-a39d89cab0b4 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Advances in Neural Information Processing Systems , volume=
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.490558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c1de38ed-cb2c-4205-b03b-a31183a21dbf · outbound
This paper cites ARC Prize 2024: Technical Report.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale ARC Prize 2024: Technical Report
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.504657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a1a1daf7-4b8d-45cc-9409-0aa5c43005fc · outbound
This paper cites Every step evolves: Scaling reinforcement learning for trillion-scale thinking model.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Every step evolves: Scaling reinforcement learning for trillion-scale thinking model
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.423803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa490fe4-6ae8-453c-b334-d1b6aa5aa84f · outbound
This paper cites AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Reference 27
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.513987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 34753d3b-497c-4259-be34-2ff0be16c5f3 · outbound
This paper cites Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:17:25.458601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d56451b8-c653-4918-ad73-e1bf1fe5a86a · outbound
This paper cites InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.527095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ef966bbf-3c32-48b4-8906-fbb350038b6a · outbound
This paper cites SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.604382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 17274652-e42c-4172-80ae-411dcf2c4404 · outbound
This paper cites Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:17:25.637701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b53e4771-dfa0-42e0-9f60-9d0c7761fc26 · outbound
This paper cites 2025 , howpublished=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , howpublished=
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.612716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd4102a5-23f4-41c4-861f-800cfe7f2cfc · outbound
This paper cites KPop: Taming Training–Inference Mismatch in Reinforcement Learning with Adaptive Masking Regions , url =.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale KPop: Taming Training–Inference Mismatch in Reinforcement Learning with Adaptive Masking Regions , url =
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.569183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d1be6065-2e3e-47d3-8feb-dac0bbf16296 · outbound
This paper cites 2024 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2024 , eprint=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.761430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f9c19ec0-d7b6-483f-bb96-53866b11886e · outbound
This paper cites an unresolved cited work.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T19:01:19.764091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dfd2d85c-3e49-423e-905b-f0575091ebd2 · outbound
This paper cites ArXiv , year=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale ArXiv , year=
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.756140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 051e79ca-6d81-47d0-b6ea-2f493502078d · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.635250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8d3c9a02-debc-44b5-b9cb-e2443e5ae003 · outbound
This paper cites 2026 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2026 , eprint=
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.753492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de3bf6e8-8f17-4fda-907b-07ef0930a4b4 · outbound
This paper cites 2026 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2026 , eprint=
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.758872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9a51bda2-090a-464f-8b12-25b9489d3398 · outbound
This paper cites 2025 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , eprint=
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.766820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 622103ba-0592-4b1b-8598-69e217a2ce89 · outbound
This paper cites 2025 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , eprint=
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.494732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ea118472-1d2e-4c88-b985-c0e32b0c756b · outbound
This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:17:25.649233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ee39f1bb-7785-4c7c-a977-ffcb6c9b79a5 · outbound
This paper cites 2025 , month =.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , month =
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.504624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a0ce3fd1-8e73-47ef-b86d-ba65b3e5d89c · outbound
This paper cites 1999 , publisher=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 1999 , publisher=
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.741522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6f138eab-7da6-462d-a78a-241abc1ea565 · outbound
This paper cites 2023 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2023 , eprint=
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.743873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9690bc68-f309-4e45-8b36-5927f751efd1 · outbound
This paper cites The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants , url =.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants , url =
Reference 46
- Resolution
- verified exact
- doi, observed 2026-07-02T22:17:24.855612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ead00168-1be0-4c3b-80af-c64660f20213 · outbound
This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding
Reference 47
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.611712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 48060979-fd2d-4b1b-bac9-f99edc0b38e2 · outbound
This paper cites Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
Reference 48
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6a18c88f-744f-41e6-9dee-fcdd626a1b1a · outbound
This paper cites URL https: //aclanthology.org/2025.acl-long.183/.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale URL https: //aclanthology.org/2025.acl-long.183/
Reference 49
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- metadata mismatch
- doi, observed 2026-07-02T22:17:24.905859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ca5c71dd-d1aa-404d-ab98-dc728a5aafa1 · outbound
This paper cites Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:17:25.651954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f1f85a3c-f8cc-4cfd-8be3-2bb2df0f7cea · outbound
This paper cites 2025 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , eprint=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:11:21.545424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 56e06d2b-e2fb-4f59-90f8-1574a67bdd9b · outbound
This paper cites BOSE: A Systematic Evaluation Method Optimized for Base Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale BOSE: A Systematic Evaluation Method Optimized for Base Models
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.555189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation efd457d8-9fcc-4964-849a-c5924e6e5c60 · outbound
This paper cites Group Sequence Policy Optimization.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Group Sequence Policy Optimization
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.647439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9f56f47-c7d6-4452-9af3-0a9b92ee75a5 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.557747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0e86d4f7-fd09-4903-ae24-849794d019dc · outbound
This paper cites Muon is Scalable for LLM Training.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Muon is Scalable for LLM Training
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.507513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cd189d63-1278-4f74-b03e-2080d55d6e12 · outbound
This paper cites Query-Key Normalization for Transformers.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Query-Key Normalization for Transformers
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.578473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 037d8e93-23e2-4634-ab25-565f2104866d · outbound
This paper cites Better & Faster Large Language Models via Multi-token Prediction.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Better & Faster Large Language Models via Multi-token Prediction
Reference 57
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.654471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation caea6735-0e6b-4355-a78d-f953ed053c25 · outbound
This paper cites Deep Learning Scaling is Predictable, Empirically.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Deep Learning Scaling is Predictable, Empirically
Reference 58
- Resolution
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- local_arxiv, observed 2026-07-02T22:17:25.622451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e02d999e-d366-4577-8195-d6963d6a76f2 · outbound
This paper cites Scaling Laws for Neural Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Scaling Laws for Neural Language Models
Reference 59
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.680962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fe2573c9-ffe1-40cf-81cf-4072e1e58848 · outbound
This paper cites Training Compute-Optimal Large Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Training Compute-Optimal Large Language Models
Reference 60
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.673113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d668197d-999a-43a9-bc58-334752974e28 · outbound
This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Reference 61
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.511361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d27cbb9-ee3f-42ca-ad62-bbe255e5de8a · outbound
This paper cites The Llama 3 Herd of Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale The Llama 3 Herd of Models
Reference 62
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.657524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b37ccaa-d6b8-485c-a097-c184764ed578 · outbound
This paper cites Language models scale reliably with over-training and on downstream tasks.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Language models scale reliably with over-training and on downstream tasks
Reference 63
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.569431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0149c990-33ca-44bd-8bd2-61e61e025e49 · outbound
This paper cites Reconciling Kaplan and Chinchilla Scaling Laws.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Reconciling Kaplan and Chinchilla Scaling Laws
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.641220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b36f3396-bd91-48a9-827c-ec445c2739c4 · outbound
This paper cites Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
Reference 65
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.643954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7a374ed-0c14-446c-8d42-76a0b062dbe8 · outbound
This paper cites Scaling Laws for Predicting Downstream Performance in LLMs.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Scaling Laws for Predicting Downstream Performance in LLMs
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.630641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3e49b294-79ca-4791-82c8-e05c21dc5edc · outbound
This paper cites Observational Scaling Laws and the Predictability of Language Model Performance.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Observational Scaling Laws and the Predictability of Language Model Performance
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:17:25.638413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 55f2739c-75de-4c01-833f-5dbd7e7cc69c · outbound
This paper cites Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Reference 68
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.669443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a6fe28f4-7c45-4f99-b097-ba36b18f1d4e · outbound
This paper cites Compression Represents Intelligence Linearly.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Compression Represents Intelligence Linearly
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:17:25.636005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2ef409f9-284b-45ce-8862-c3f387669c41 · outbound
This paper cites The Thirteenth International Conference on Learning Representations , year=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale The Thirteenth International Conference on Learning Representations , year=
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.746145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eb72bf3e-9b4b-4c4b-9deb-14c202d85eac · outbound
This paper cites Predicting Emergent Abilities with Infinite Resolution Evaluation.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Predicting Emergent Abilities with Infinite Resolution Evaluation
Reference 71
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.627988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ee85ecce-5912-4c84-9aac-1911548dd30e · outbound
This paper cites Journal of Machine Learning Research , volume=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Journal of Machine Learning Research , volume=
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.709410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6574af6e-536f-4a16-990b-961231277e02 · outbound
This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Reference 73
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.540187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f555d58-932b-4e49-8b21-5fff70ad5720 · outbound
This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.630152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 223dde73-c64d-416a-bda3-1a9781881dde · outbound
This paper cites International conference on machine learning , pages=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale International conference on machine learning , pages=
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.704313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2722065d-f0fa-49e3-907a-c54daedec203 · outbound
This paper cites Forty-first International Conference on Machine Learning , year=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Forty-first International Conference on Machine Learning , year=
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.711930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cf9d821c-d724-43f3-aab0-b4f335192bd0 · outbound
This paper cites Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
Reference 77
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.545686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b6bbcd40-c9a2-4a63-9faa-e2e8350ceee5 · outbound
This paper cites Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models
Reference 78
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.674860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 59ecf0c2-adee-4f84-a231-22a944848b85 · outbound
This paper cites Mixture of Parrots: Experts improve memorization more than reasoning.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Mixture of Parrots: Experts improve memorization more than reasoning
Reference 79
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.606439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 94abea09-d897-4ab2-8068-35b4d514d5c2 · outbound
This paper cites Toward Inference-optimal Mixture-of-Expert Large Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Toward Inference-optimal Mixture-of-Expert Large Language Models
Reference 80
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.649806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9c267c64-a6d2-42c1-ae95-ef48d1643870 · outbound
This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 81
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.667937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7806b32e-a81c-4bf1-9514-26d4adc8068b · outbound
This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale ST-MoE: Designing Stable and Transferable Sparse Expert Models
Reference 82
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.645023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c51768ba-a976-43e2-b814-76dba1f5cfca · outbound
This paper cites Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient
Reference 83
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.655129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bdd203b1-b3af-4882-81a8-befcf3750499 · outbound
This paper cites International conference on machine learning , pages=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale International conference on machine learning , pages=
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.699836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 66815041-6f91-4075-b5e3-23936c0dd336 · outbound
This paper cites Mixtral of Experts.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Mixtral of Experts
Reference 85
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.599073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e7219fdd-ac75-4834-bcc3-28b3fea85ccb · outbound
This paper cites A Survey of Large Language Models.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale A Survey of Large Language Models
Reference 86
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.625075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5740d367-66cb-4e59-bb5e-f1c5cd7f4e6d · outbound
This paper cites 2024 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2024 , eprint=
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.694746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f527aecc-c5e1-4286-ae04-0e0f9f679c1a · outbound
This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Reference 88
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T22:17:25.602859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3be327a8-6639-4d48-9d5d-f07f1e54b864 · outbound
This paper cites Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
Reference 89
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:17:25.455809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82fadf00-50df-468b-a97e-1a0fcb8e998e · outbound
This paper cites 2025 , url=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , url=
Reference 90
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.696940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f3f01660-9b80-4a33-989f-0f81026b65ed · outbound
This paper cites 2025 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , eprint=
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.702022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fa4d4deb-8aa8-4400-a835-14f795d6c142 · outbound
This paper cites 2025 , eprint=.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 2025 , eprint=
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.384299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 858db70c-e839-46a2-a834-9b8f24f3e512 · outbound
This paper cites Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:17:25.617283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8d6b5a30-9ece-41e8-b3d0-d12240c654f6 · outbound
This paper cites Challenging.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Challenging
Reference 94
- Resolution
- metadata mismatch
- doi, observed 2026-07-02T22:17:24.886984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cd065a68-25d0-4b12-b7f5-57929c10d65e · outbound
This paper cites Winogrande: an adversarial winograd schema challenge at scale.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Winogrande: an adversarial winograd schema challenge at scale
Reference 95
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- verified exact
- doi, observed 2026-07-02T22:17:24.919606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 34aa66bf-0129-4bed-87a9-63305eac170e · outbound
This paper cites URL https:// doi.org/10.18653/v1/p19-1472.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale URL https:// doi.org/10.18653/v1/p19-1472
Reference 96
- Resolution
- metadata mismatch
- doi, observed 2026-07-02T22:17:24.921583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3cdf1333-5e18-4c4f-8503-b00926bc3af5 · outbound
This paper cites 9th International Conference on Learning Representations.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale 9th International Conference on Learning Representations
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-05T19:01:19.706790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dafa1a9f-a37e-47e1-a41c-f9ab65d6096a · outbound
This paper cites CMMLU : Measuring massive multitask language understanding in C hinese.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale CMMLU : Measuring massive multitask language understanding in C hinese
Reference 98
- Resolution
- metadata mismatch
- doi, observed 2026-07-02T22:17:24.896824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 12285747-e23b-4f48-b8cc-d3046bdeaef3 · outbound
This paper cites an unresolved cited work.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Unresolved cited work
Reference 99
- Resolution
- unresolved
- raw_fallback, observed 2026-07-05T19:01:19.365302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a380a390-9379-41f9-be0b-1cc27b84679c · outbound
This paper cites TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Reference 100
- Resolution
- metadata mismatch
- doi, observed 2026-07-02T22:17:24.917965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7461ad9c-f865-48d5-9e74-fef45098b75d · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Training Verifiers to Solve Math Word Problems
Reference 101
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:17:25.657379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 96ab69ce-f21f-4b83-9729-367897534010 · inbound
DT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail cites this paper.
DT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T10:04:51.450608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.