Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T13:05:26.667750Z
Paper Citation Record · LEDGER
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
As of 27 July 2026, this Paper Citation Record lists 17 of 17 outbound references and 100 inbound Pith citation observations for arXiv:2512.02556.
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 2026-07-27T06:30:09.085275+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-15T15:03:20.637041Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T01:57:51.613379Z
Reference resolution
17 of 17 outbound references displayed
- verified exact11
- verified fuzzy3
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6d5ec91b-27e0-4642-8aa5-1a9541b16c1d · outbound
This paper cites $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:52:17.902869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7cd66631-132a-43f4-9123-1dfc682e8e99 · outbound
This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T05:36:27.707517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation bc4d3366-d61f-4ea8-918c-bcb3a4416d18 · outbound
This paper cites 10 Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, and Yidan Liang.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models 10 Guoqing Ma, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Jiawei Shen, Zilong Li, and Yidan Liang
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.754096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 69125550-6611-4428-b14e-e6d3a9f12807 · outbound
This paper cites MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.757169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7c389788-4e3b-4a21-ae29-9db6fdc73da3 · outbound
This paper cites Luong, D.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models Luong, D
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T13:05:26.775691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7c9de2e6-7884-4322-bc83-985851b13582 · outbound
This paper cites 18 MiniMax.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models 18 MiniMax
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T13:05:26.773841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ef2627d0-f6a3-4118-b287-6c71d3802a02 · outbound
This paper cites Humanity's Last Exam.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models Humanity's Last Exam
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T18:40:50.715344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 10e021ad-e2d0-4eb6-aab4-1a2e5fd2d8a5 · outbound
This paper cites Qwen3 Technical Report.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models Qwen3 Technical Report
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T13:05:26.744711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ad2e1c8d-7782-4f5a-aa2a-f13657ae03b2 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T13:05:26.747838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation eecac730-9ca6-4fd3-9adf-75b6f3948c0a · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T13:05:26.687674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f65269c7-def7-4a3d-b93f-b1d38396155d · outbound
This paper cites Fast Transformer Decoding: One Write-Head is All You Need.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models Fast Transformer Decoding: One Write-Head is All You Need
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:50:20.836519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ca3ea0aa-fbef-42cf-a952-6f954ac057f4 · outbound
This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:51:14.588885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation d56cf372-e911-493c-b755-c56914d404c9 · outbound
This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:51:14.588885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation b36c2ba3-b3d7-423c-a8b7-2713c4f43f24 · outbound
This paper cites SWE-smith: Scaling Data for Software Engineering Agents.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models SWE-smith: Scaling Data for Software Engineering Agents
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T10:22:07.061654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6a6d8cd1-5eea-4c57-b795-cd742f2313b7 · outbound
This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:50:08.654972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f004d965-9645-4905-8ee7-3c6b5b6c91dd · outbound
This paper cites BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:04:50.009871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 11d831bc-c519-43c4-bab4-ec75bc44642b · outbound
This paper cites an unresolved cited work.
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models Unresolved cited work
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T13:05:26.777420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Pith citing papers
Observation 13b287bc-8737-47a1-818f-0ebd4ad20387 · inbound
Reinforcement Learning from Human Feedback cites this paper.
Reinforcement Learning from Human Feedback DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 185
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T19:32:01.083881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7d7790e9-0003-43c0-a01e-646ee76b3410 · inbound
Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings cites this paper.
Evaluating Code Reasoning Abilities of Large Language Models Under Real-World Settings DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T21:28:34.198311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 79ff48ad-c1f0-4814-9c0c-5f361711fcba · inbound
Toward Training Superintelligent Software Agents through Self-Play SWE-RL cites this paper.
Toward Training Superintelligent Software Agents through Self-Play SWE-RL DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T16:10:20.183526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation c7408991-06f0-4ea2-9c13-6e477be21545 · inbound
MiMo-V2-Flash Technical Report cites this paper.
MiMo-V2-Flash Technical Report DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T11:33:32.843842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation bfb105ca-d9b9-4b53-8e48-547149e74a6b · inbound
DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs cites this paper.
DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T17:21:07.905175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6a391917-9599-4436-b4e9-948ba9e4c19c · inbound
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization cites this paper.
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:31:56.042488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 2f5eb001-1b51-4ec0-97fd-7c938abff947 · inbound
OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling cites this paper.
OPT-Engine: Benchmarking the Limits of LLMs in Optimization Modeling via Complexity Scaling DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T16:18:05.375328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 011f576a-749d-40b2-982e-cb43dfb7e2d3 · inbound
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment cites this paper.
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:40:49.039750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f0c8d3af-fff1-4936-9936-13fb9537a5c6 · inbound
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment cites this paper.
ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T14:10:13.433825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 5952d2ac-0938-4ea3-ad65-63b65a5af5dc · inbound
Learning from Self-Debate: Preparing Reasoning Models for Multi-Agent Debate cites this paper.
Learning from Self-Debate: Preparing Reasoning Models for Multi-Agent Debate DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T14:30:13.844752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 4a8b1526-2862-4d0d-af63-1fc1bcf6c7c0 · inbound
Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights cites this paper.
Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T08:52:37.657663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 073f598e-5868-4c56-be21-9240dc020f49 · inbound
Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization cites this paper.
Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T08:20:46.036461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 42a2c601-c2cb-4c01-bebb-0b925f9a6db0 · inbound
Kimi K2.5: Visual Agentic Intelligence cites this paper.
Kimi K2.5: Visual Agentic Intelligence DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T16:09:05.290142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 89f5751e-3973-4d74-b41a-4bec561847b9 · inbound
AgenticSZZ: Temporal Knowledge Graph-Guided Agentic Bug-Inducing Commit Identification cites this paper.
AgenticSZZ: Temporal Knowledge Graph-Guided Agentic Bug-Inducing Commit Identification DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T08:27:36.401445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 9b525396-13a6-46b7-abb7-576053392d43 · inbound
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents cites this paper.
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T06:37:28.480502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 67ec9ade-b324-49f3-9711-dccc8bf99866 · inbound
AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering cites this paper.
AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine Learning Engineering DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T06:32:27.293930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ff04e2b7-85ac-4e7e-834c-bf1ce329ac26 · inbound
SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining cites this paper.
SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T06:00:40.740867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 59a735ec-5cb8-489b-aa64-5f5a60f9c4be · inbound
GLM-5: from Vibe Coding to Agentic Engineering cites this paper.
GLM-5: from Vibe Coding to Agentic Engineering DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T05:46:41.022884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation da751b51-9317-4fad-891e-a396799cc1ea · inbound
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:00:17.865951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ca58d92f-44ce-4f5f-87fb-06321a515d2b · inbound
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.
RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T12:50:09.468445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6d2d7069-c0ee-4dfd-afac-e5b490f72895 · inbound
Tracking Capabilities for Safer Agents cites this paper.
Tracking Capabilities for Safer Agents DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T18:36:29.234504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 00739758-af1d-4e03-b837-36d3eb117991 · inbound
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant cites this paper.
GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T18:30:14.465308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 3761befd-14f4-42c0-9164-9be2da645156 · inbound
Multistage Stochastic Programming for Rare Event Risk Mitigation in Power Systems Management cites this paper.
Multistage Stochastic Programming for Rare Event Risk Mitigation in Power Systems Management DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T15:03:20.637041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20f79b34-1c8c-49f1-bb20-4ef06c279669 · inbound
MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue cites this paper.
MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T15:26:10.736564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 1cf6b1c9-aeb6-4e22-b3db-3d77137fbe44 · inbound
Story Point Estimation Using Large Language Models cites this paper.
Story Point Estimation Using Large Language Models DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T15:30:07.602476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 48906e6d-a64f-428f-86dc-fc179467c923 · inbound
CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning cites this paper.
CODA: Difficulty-Aware Compute Allocation for Adaptive Reasoning DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T14:25:55.449930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 5b217549-1d76-4c52-b8e4-c50f12c4db75 · inbound
When Does Sparsity Mitigate the Curse of Depth in LLMs cites this paper.
When Does Sparsity Mitigate the Curse of Depth in LLMs DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T20:29:33.439034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a71671bd-d4c7-45df-a4c7-f855cfc63b63 · inbound
NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing cites this paper.
NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T11:59:49.461107Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c287aeac-973c-4da6-84a7-2b3863938e9a · inbound
Towards Safer Large Reasoning Models by Promoting Safety Decision-Making before Chain-of-Thought Generation cites this paper.
Towards Safer Large Reasoning Models by Promoting Safety Decision-Making before Chain-of-Thought Generation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T09:35:22.397588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 17e64d24-aec0-4341-9fcc-c75d0244fed8 · inbound
VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection cites this paper.
VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T20:48:11.937716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58b88682-0a97-47b4-97ff-7c46f8f6b546 · inbound
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens cites this paper.
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:00:10.048061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation e097af8d-6057-4214-a9a0-b7230172519b · inbound
From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments cites this paper.
From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 214
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T01:23:27.195363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 26cdfeaf-d3bf-44c0-b8bc-c3793b1494ef · inbound
YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance cites this paper.
YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T00:23:22.743224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 64c9240b-d80c-4d27-9436-ba83fbb8f295 · inbound
YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance cites this paper.
YingMusic-Singer: Controllable Singing Voice Synthesis with Flexible Lyric Manipulation and Annotation-free Melody Guidance DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T18:44:48.222670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f7490f4-6736-4acc-a2c2-44d4bfbfa56f · inbound
AIRA_2: Overcoming Bottlenecks in AI Research Agents cites this paper.
AIRA_2: Overcoming Bottlenecks in AI Research Agents DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T23:08:14.542424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 0aec5961-d9ef-40a2-9eb1-738cccf3ee58 · inbound
AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment cites this paper.
AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T14:51:08.369181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 5d857eb3-6c95-4746-9d07-b33b0d7086ad · inbound
Evaluating Privilege Usage of Agents with Real-World Tools cites this paper.
Evaluating Privilege Usage of Agents with Real-World Tools DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T22:18:04.333729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6f4d5bf2-3a3c-4ec4-8269-48ec766ead44 · inbound
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization cites this paper.
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T22:18:04.314611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation acf269c7-6b1f-4e74-aa92-a78512e25f17 · inbound
Three non-Hermitian random matrix universality classes of complex edge statistics: Spacing ratios and distributions cites this paper.
Three non-Hermitian random matrix universality classes of complex edge statistics: Spacing ratios and distributions DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T16:19:49.419805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc750233-6e61-455a-a1d5-31ab643d3690 · inbound
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention cites this paper.
HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T21:43:00.746243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation a5d1997a-2c65-4ace-937a-2c0f6a38ec18 · inbound
Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference cites this paper.
Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T00:28:29.873880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 4aa441cc-d63b-4d34-8347-e36346bf7010 · inbound
From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents cites this paper.
From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T21:48:19.302532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f976a9e2-3fdb-4825-8400-d61596c45f75 · inbound
SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses cites this paper.
SkVM: Revisiting Language VM for Skills across Heterogenous LLMs and Harnesses DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T19:28:09.732726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation d3a861aa-ca40-44dc-834b-8b864afd0680 · inbound
InCoder-32B-Thinking: Industrial Code World Model for Thinking cites this paper.
InCoder-32B-Thinking: Industrial Code World Model for Thinking DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T18:58:08.708184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 8067f823-5ae2-497d-9dcb-5c394dfe1c93 · inbound
BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence cites this paper.
BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T19:53:11.974126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation d9792ae3-b2c0-4694-8e75-26feb7da099a · inbound
Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems cites this paper.
Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T22:43:12.002256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6e1157fd-d02d-4033-b92e-d483c397010c · inbound
Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling cites this paper.
Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T23:45:52.530761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 1334830d-fba5-4aeb-9448-b0a046cb54f3 · inbound
Watch Before You Answer: Learning from Visually Grounded Post-Training cites this paper.
Watch Before You Answer: Learning from Visually Grounded Post-Training DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T22:15:51.711356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ed383789-9c0e-4fad-9dae-960d73aa21ec · inbound
SpecRL: Reinforcement Learning with Test-Based Completeness Rewards for Formal Specification Synthesis cites this paper.
SpecRL: Reinforcement Learning with Test-Based Completeness Rewards for Formal Specification Synthesis DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 12
- Resolution
- malformed identifier
- local_arxiv, observed 2026-05-10T23:30:50.817514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 50dadd83-1403-4265-a1ed-621708688e36 · inbound
REAgent: Requirement-Driven LLM Agents for Software Issue Resolution cites this paper.
REAgent: Requirement-Driven LLM Agents for Software Issue Resolution DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T05:50:58.577354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 8bdc3a86-13af-4453-92b1-7d7c60c9aa7d · inbound
Program Analysis Guided LLM Agent for Proof-of-Concept Generation cites this paper.
Program Analysis Guided LLM Agent for Proof-of-Concept Generation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T07:36:00.209357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7b67e5cd-5ccb-461f-aebf-1c53d331ff8f · inbound
Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning cites this paper.
Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:30:53.710658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 1b621726-91db-4533-bd3b-78915e2fbf99 · inbound
A Decomposition Perspective to Long-context Reasoning for LLMs cites this paper.
A Decomposition Perspective to Long-context Reasoning for LLMs DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T05:30:59.921211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation b7147a38-937d-42db-917f-c52807dd3359 · inbound
PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory cites this paper.
PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T05:30:59.695736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7b017469-cb3b-4365-bf37-ff275c96ffe1 · inbound
Distributed Multi-Layer Editing for Rule-Level Knowledge in Large Language Models cites this paper.
Distributed Multi-Layer Editing for Rule-Level Knowledge in Large Language Models DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:20:54.363033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 65bb6f64-2c2b-4119-a4e1-b2ec558d85a1 · inbound
AssemLM: A Spatial Reasoning Multimodal Large Language Model for Robotic Assembly cites this paper.
AssemLM: A Spatial Reasoning Multimodal Large Language Model for Robotic Assembly DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T00:41:02.799435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation bf0fbfd8-833f-440e-9bad-e68bbd2d8993 · inbound
AssemLM: A Spatial Reasoning Multimodal Large Language Model for Robotic Assembly cites this paper.
AssemLM: A Spatial Reasoning Multimodal Large Language Model for Robotic Assembly DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:37:01.875768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 042b559c-d17b-4c4e-b231-ebf44eb4b579 · inbound
MAG-3D: Multi-Agent Grounded Reasoning for 3D Understanding cites this paper.
MAG-3D: Multi-Agent Grounded Reasoning for 3D Understanding DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T06:51:19.650353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 298b9050-d7eb-4e5f-b062-7e3a740fa38c · inbound
A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics cites this paper.
A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:30:57.509727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation a272958f-626b-4385-acec-5d1b58e3142b · inbound
AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search cites this paper.
AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:40:57.457265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 984a2ee0-8de0-4935-bdfa-7bcbfa87bb56 · inbound
AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control cites this paper.
AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T10:11:04.164915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation e8ce957f-ee88-4df2-9491-cbf6cbcfe418 · inbound
Beyond Compliance: A Resistance-Informed Motivation Reasoning Framework for Challenging Psychological Client Simulation cites this paper.
Beyond Compliance: A Resistance-Informed Motivation Reasoning Framework for Challenging Psychological Client Simulation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T09:46:08.222445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ad692bc9-4e1f-47c1-837f-a33883dd0011 · inbound
LLMs for Qualitative Data Analysis Fail on Security-specificComments in Human Experiments cites this paper.
LLMs for Qualitative Data Analysis Fail on Security-specificComments in Human Experiments DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:06:02.326352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation c44ffc03-2ed3-4aea-bab0-c0f43cefca63 · inbound
OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation cites this paper.
OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language Environment Simulation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:20:57.872101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 0f49b1ae-996b-417a-b919-22b21b97e154 · inbound
MAFIG: Multi-agent Driven Formal Instruction Generation Framework cites this paper.
MAFIG: Multi-agent Driven Formal Instruction Generation Framework DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:36:08.356350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 03ec45f3-47f1-436a-a5bc-a79facb8c5c5 · inbound
From Context to Rules: Toward Unified Detection Rule Generation cites this paper.
From Context to Rules: Toward Unified Detection Rule Generation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T08:55:59.980006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 04d5f922-529f-40a1-8c22-3110c41f5c46 · inbound
Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method cites this paper.
Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:11:05.825915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6d35105f-3116-4f3f-b8be-9d4ef9f3c1d5 · inbound
Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization cites this paper.
Policy Split: Incentivizing Dual-Mode Exploration in LLM Reinforcement with Dual-Mode Entropy Regularization DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:21:04.446427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 85ff35b0-69c9-4dfb-a0ce-7004c183cbb1 · inbound
CodeSpecBench: Benchmarking LLMs for Executable Behavioral Specification Generation cites this paper.
CodeSpecBench: Benchmarking LLMs for Executable Behavioral Specification Generation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:26:03.628018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 385ef909-07e9-4842-b8a9-50f2d593d6c1 · inbound
Every Picture Tells a Dangerous Story: Memory-Augmented Multi-Agent Jailbreak Attacks on VLMs cites this paper.
Every Picture Tells a Dangerous Story: Memory-Augmented Multi-Agent Jailbreak Attacks on VLMs DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:11:05.356850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation cfa79e9b-ea5c-4bdb-940b-ff0f86c3c748 · inbound
OSC: Hardware Efficient W4A4 Quantization via Outlier Separation in Channel Dimension cites this paper.
OSC: Hardware Efficient W4A4 Quantization via Outlier Separation in Channel Dimension DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:05:59.512684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 8bb0316c-d9d6-4de3-abf4-9ad2808c59e6 · inbound
VFA: Relieving Vector Operations in Flash Attention with Global Maximum Pre-computation cites this paper.
VFA: Relieving Vector Operations in Flash Attention with Global Maximum Pre-computation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T09:16:00.125017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 7e36aa95-5a6c-4717-9586-9bcfff9d2d7e · inbound
Towards Long-horizon Agentic Multimodal Search cites this paper.
Towards Long-horizon Agentic Multimodal Search DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 64
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T10:01:04.560729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 279996ff-7c3d-4756-b6e1-24f93ed7be70 · inbound
Round-Trip Translation Reveals What Frontier Multilingual Benchmarks Miss cites this paper.
Round-Trip Translation Reveals What Frontier Multilingual Benchmarks Miss DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T16:30:35.059816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 76b6f5e4-9898-4c4a-b3ee-4da0b5def3bb · inbound
Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints cites this paper.
Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T14:15:29.446584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 970d04dc-baa6-478a-a6ed-e76a28633e65 · inbound
Training-Free Test-Time Contrastive Learning for Large Language Models cites this paper.
Training-Free Test-Time Contrastive Learning for Large Language Models DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T14:05:29.466800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation ab0ddab6-c4e4-44ff-a596-25d1603a6881 · inbound
SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention cites this paper.
SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-10T13:55:28.054554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 255b7f7a-e94d-4176-a773-7119dee936d1 · inbound
POINTS-Seeker: Towards Training a Multimodal Agentic Search Model from Scratch cites this paper.
POINTS-Seeker: Towards Training a Multimodal Agentic Search Model from Scratch DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T13:10:26.383253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 5d8a187a-8c76-44a4-bb73-fc978dadfa8d · inbound
Evaluation of Agents under Simulated AI Marketplace Dynamics cites this paper.
Evaluation of Agents under Simulated AI Marketplace Dynamics DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T11:51:00.738264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation d75c90ba-faa7-4f8c-ad2a-4252c0452481 · inbound
HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Tasks cites this paper.
HWE-Bench: Benchmarking LLM Agents on Real-World Hardware Bug Repair Tasks DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation cdcd8b51-5481-456c-bb96-3b7b0d9badec · inbound
AdaSplash-2: Faster Differentiable Sparse Attention cites this paper.
AdaSplash-2: Faster Differentiable Sparse Attention DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation c2f5eada-66bc-447e-9d7e-308ddf3c4614 · inbound
HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents? cites this paper.
HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents? DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f085f3d7-58ed-4fc0-ad20-b3b120d9cd1b · inbound
GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows cites this paper.
GTA-2: Benchmarking General Tool Agents from Atomic Tool-Use to Open-Ended Workflows DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f387ef77-4855-4fe0-bfeb-926ac978b70f · inbound
Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation cites this paper.
Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6942799a-8cf2-42e9-88e1-f03b6331033d · inbound
Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference cites this paper.
Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f35622dd-6a67-44cd-95be-f8bc84d86799 · inbound
RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation cites this paper.
RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation b37fa6f7-5993-4e4d-990e-80537f8855e7 · inbound
Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling cites this paper.
Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 06450ae4-6604-45f9-a2a4-66e51efd95b7 · inbound
STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering cites this paper.
STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 9a4f5b73-431f-4c61-86ac-007fc5698fb9 · inbound
TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control cites this paper.
TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 754bad7d-3d62-4951-99a2-3ac73b39eb6a · inbound
TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control cites this paper.
TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T19:02:56.493440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ed46c93-a32e-48ec-9d25-a3df915ab42f · inbound
Matlas: A Semantic Search Engine for Mathematics cites this paper.
Matlas: A Semantic Search Engine for Mathematics DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 6574306d-fa96-4e0c-a821-1d64ff85d36f · inbound
Single-Language Evidence Is Insufficient for Automated Logging: A Multilingual Benchmark and Empirical Study with LLMs cites this paper.
Single-Language Evidence Is Insufficient for Automated Logging: A Multilingual Benchmark and Empirical Study with LLMs DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation f56f7d1a-8ec9-4245-be0f-0587b3fbd4dc · inbound
Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization cites this paper.
Co-evolving Agent Architectures and Interpretable Reasoning for Automated Optimization DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation d34ea390-4133-4b99-a1bd-bf9a4122d463 · inbound
Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks cites this paper.
Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 2b18eb95-b4f8-4731-aee8-f5fe235c72ea · inbound
Neural Garbage Collection: Learning to Forget while Learning to Reason cites this paper.
Neural Garbage Collection: Learning to Forget while Learning to Reason DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 9
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 2b1cc089-6564-4381-b24e-813f947d3488 · inbound
Model in Distress: Sentiment Analysis on French Synthetic Social Media cites this paper.
Model in Distress: Sentiment Analysis on French Synthetic Social Media DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T12:01:05.920313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 42547a3c-5c98-487d-b16a-fc74a4eff51c · inbound
MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model cites this paper.
MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T12:31:07.794522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 05293769-6d34-4005-b0cd-d790c9ccf720 · inbound
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence cites this paper.
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 3d853668-9ad2-4e5f-b01e-94eec4a500bf · inbound
ComPASS: Towards Personalized Agentic Social Support via Tool-Augmented Companionship cites this paper.
ComPASS: Towards Personalized Agentic Social Support via Tool-Augmented Companionship DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.
Observation 48ebe058-6d54-41dd-8d3a-d328754bb8ea · inbound
Using large language models for embodied planning introduces systematic safety risks cites this paper.
Using large language models for embodied planning introduces systematic safety risks DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:05:26.778195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.