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Paper Citation Record · LEDGER

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

As of 4 August 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.

pith.paper-citation-record.v1
2512.02556 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T13:05:26.667750Z

measured 117 of 117 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 100 of 459 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:42:11.521559Z

measured 0 of 1 external citation measurements

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 fuzzy2
  • unresolved1
  • 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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:939d64397f75f96b552bed83fe925cd25926a25fcf5c908d2d9c44c9088e18e2

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:77c140c294bf46c7499b3737d34d6e6106f11eca7540427ecdaef8f96aceaa89

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:aceb7dbd5b2f5f0e444353e764700e87a056cb2fd011ad999177dda195429f2d

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:33d809f42f4231c5e946a4a21bbf75c143f1a33d0d8d2bfbb82bc57ebe12a850

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:c8a2b18ab4b2e9f6e1cabc801e6866d9598613b34f02525ee5bc92b2f5e2c78a

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:697e37e2cb907d88a6afff2654e32aa4dbe45ca5946eb81ef15437b60ecbcf3f

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:c85e505787771253634dfa5b58cdf157e4894916bfe554ac85739ac99417c287

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:395847bc318ee98f234902e8c036b6aef677bd4a6df7349198ccc39ea5ea1546

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:815538c0f020d6a8112010306ae4f1a7a102bfcce1eb19e12e0797db520e1064

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:c43695a5bea577c18084bfd32e4225176b8d7948fd597965b5fc1b12ac993c4e

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:4f76dca4b77fb01c9513f60a5b089c9f62636d25f7c49e993266cf823b16a439

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:a1f8586006514a30eaf11e4b988115289b3e438af6641024447eb8598a242571

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:ba898d11de2079d22c41843e2cc9ada121523dbb2c26d655d61295085f4e358c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:a2e7c8bd764ed06a7ca3c95a25a77a0e5911bcee90c2554dd53f439fab434d64

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:5acd1415caba5f1737a8878364776e4f62ea6272181e2d9c78e7e58389b75c93

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:4d3da8b8824d4e482180e12f0ebd808425a2c5cf570a748069bd4011ab30cf35

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
unresolved
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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:05:26.667750Z digest=sha256:4f3597d56e122babbf0aa169265b2c2d2a616a042cef13fa8c6aa1a2a075528f

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T19:27:40.991325Z digest=sha256:92194ee06e1c8b997280244aaf015cb8e4608cc4a7310b2bc8bd925fa2252e6e

Observation bac7fad9-2df5-41cf-b1df-5387392f837c · inbound

ATLAS: Multi-View Code Representation Tool for C and C++ Source Programs cites this paper.

ATLAS: Multi-View Code Representation Tool for C and C++ Source Programs DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T16:42:11.521559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:42:11.521559Z digest=sha256:6f86beb9f83a967e82ac5c180fc27a3b15e0740ebf5de805344f40a6d771e632

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T21:23:44.762007Z digest=sha256:fbc4c7b863a6c7d16f37cfa9cc24a6cd3f9330147af8b821dab7d955f6049e4f

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T16:07:48.570995Z digest=sha256:72f7c0dc446dde4863907f0ac2c04bf5a9cd065e7b9666313091928dfdfac342

Observation cd6fce16-c1a1-4abd-bf74-8c499b334b63 · 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
unresolved
no resolver link, observed 2026-08-03T15:02:10.504073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:02:10.504073Z digest=sha256:e465718b9b4d0b2dee2efda8f84233fa48b77a329d122c1c8c69874f87c53093

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T11:33:32.568261Z digest=sha256:aafffb8a8e6356a581c7c3064cb5b5b601c0c20ee5620c85d4c9fef414495001

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T17:19:58.334098Z digest=sha256:2eed3c92a6a27559657f01e28980e75daf5bd22d5f9bf6aa815fdf0d14d56f57

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T05:31:55.864438Z digest=sha256:0ad2f714b9f7d7e2cfa9f3934aafa34f0fd6f500696d18d3ed70decc0f5c02ef

Observation e4c8fac1-5cb4-430e-a2a6-bb14c36720b0 · inbound

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs cites this paper.

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T09:29:59.193365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:29:59.193365Z digest=sha256:7c7e1e479b3c1ea56c570f36867bc5b932bea0ad23d7090484b5db2a47e0d360

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T16:17:43.055124Z digest=sha256:2f9adc9feec9998e5fd9b05b231ffc10a420443d6f9f83af1346fcecf37459b2

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T09:37:57.120779Z digest=sha256:fe3186e0021ccb7d1af5db8bcd77d9016dc5e528b42405b714ec063b42d386de

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T14:05:37.120262Z digest=sha256:1a16bb498dd4dae75becf3d0060a980d619ef7cf32ce7354b0b1e72945caddaf

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T14:29:15.751497Z digest=sha256:725de675eaa84441eff3051830cc675de63ee3e4f476d3f43ac50620a144f91c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T08:51:25.375847Z digest=sha256:969deb0f69c426ed42db45af93973b54f68660aeb48c277c3e6713632a92d385

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T08:18:52.540487Z digest=sha256:302c1e8a133d2b21ae4da469bdb823727d62192023ed0d1e3de30601cd31b774

Observation 841ffb3a-bd29-4e45-9f1e-60195db85c4d · inbound

Agent-Based Software Artifact Evaluation cites this paper.

Agent-Based Software Artifact Evaluation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T05:29:27.901243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:29:27.901243Z digest=sha256:2420cf6c6792e15bb9f2b6af4fcd441b40ce49f350b5d41cd03394bbf289631d

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:09:05.225767Z digest=sha256:ca9ba0961636047f24a12ad3cf110d0e8c2c18ca2d1e1b20ab3112110fce7bf1

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T08:25:59.552687Z digest=sha256:010088ca7623f62ef2f956216eaf738b5486d254120b25e4a6e645146bc85bab

Observation f4f296ef-4d65-46e6-86e4-b7d51c28c34c · inbound

Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models cites this paper.

Neural Attention Search Linear: Towards Adaptive Token-Level Hybrid Attention Models DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 9

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no resolver link, observed 2026-08-03T04:55:41.298003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:55:41.298003Z digest=sha256:e744b012562d92c608ad3c03b256b9f7aa7955c36d4358d51842ef4918b1bc3b

Observation 1852803b-9dba-413b-b13f-e8e029d63b47 · inbound

OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions cites this paper.

OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 17

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no resolver link, observed 2026-08-03T04:08:10.546967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:08:10.546967Z digest=sha256:7029db1dc6354efaff8369eecacca3ff9dc34d17043bd5aebd7e795b1bfd541d

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T06:36:06.214753Z digest=sha256:6b93344f9f820810e62e0a74f226e070b1ff98ac66f3865348330762285e17b9

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T06:32:22.038300Z digest=sha256:89927acb79a5d93121b953bef190bfa6ec1c6a44e9afe8cb6f40e3b6d5791353

Observation 8347b4c6-0a2f-47f6-ac32-f78bf0fd7375 · inbound

LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis cites this paper.

LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 2

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no resolver link, observed 2026-08-03T03:02:31.884745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:02:31.884745Z digest=sha256:1b0a649808c7cc200d9b0bea7b814a794cb3083e5821deb3ae5c9ffc526a9e6d

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T05:58:03.113220Z digest=sha256:efb506c3c635925cd8e6577e8c8bf96690b57da237eb4aed3693e7f4c5ef919f

Observation a9d7d573-a458-489d-ba7a-0e3497e840b5 · inbound

DTBench: A Synthetic Benchmark for Document-to-Table Extraction cites this paper.

DTBench: A Synthetic Benchmark for Document-to-Table Extraction DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 8

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no resolver link, observed 2026-08-02T23:27:37.991058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:27:37.991058Z digest=sha256:ec6e0e730e8058f7f28f81a29ce2e7717fca26262154473cd36359f5a40708d7

Observation 31e71d7b-967c-4fbb-9dab-5f702458b22a · inbound

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem cites this paper.

InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 2

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no resolver link, observed 2026-08-02T23:18:28.442887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:18:28.442887Z digest=sha256:de96ac5e4eefd295d19c39de7afce12764f15384d2cc25ea008e5095ee615e78

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T05:46:40.836161Z digest=sha256:5b4677112c304467eb228a8a096dd791fcccf80bd78a5e74f59e3ba7f4d47195

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T20:59:33.902420Z digest=sha256:9e9fc737523aa6c1570499d1a5d0152e6a8268690f43adf794b2143a4213fba4

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T12:45:27.150368Z digest=sha256:e0ba7aec258c36c96ee1e6a09cd93f0a35f4bcc448671c969c3114d018473d19

Observation b887b192-3bae-49a6-abfa-a14c46d1f852 · 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

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no resolver link, observed 2026-08-02T22:05:43.023455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:05:43.023455Z digest=sha256:2a0640f6c4c644121b9e1404f01267949bba3d70548f6ada7845b85358622601

Observation 8646e333-a75f-4d80-a28b-1de89b00eac8 · inbound

Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generation cites this paper.

Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generation DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 17

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unresolved
no resolver link, observed 2026-08-02T21:39:19.579981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:39:19.579981Z digest=sha256:d89279503ce4e731bb9068548dc4212eba51ca025ac463fe29efc5e99f2354f5

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T18:31:34.181629Z digest=sha256:cb0ac2ecb45c2fd922aa658713e17f3cf6d31f838874affc70d6591e4fbbb304

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T18:27:16.527361Z digest=sha256:0980b904cef34b50fa73325fbdcd37411275bd9756a7d74f3be9675ce624375c

Observation 33a08749-7934-4b46-b528-c8289ccfa1d2 · inbound

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent cites this paper.

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 33

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no resolver link, observed 2026-08-02T19:46:40.280720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:46:40.280720Z digest=sha256:024d03969c19c4e7f85500840cc910b7a638cf7003b05ece57defdddcf81a8a3

Observation 71fe24ce-39c8-40f4-99d6-786a47ac1134 · inbound

BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? cites this paper.

BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 2024

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no resolver link, observed 2026-08-02T19:12:54.869799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:54.869799Z digest=sha256:7b6ce837e2f94bce20602834a4ca96bcf5434d88ba94e1c012d3952aa49735e7

Observation f870cd22-2d99-4902-a9a3-904de74f5a18 · inbound

When Safety Becomes a Vulnerability: Exploiting LLM Alignment Homogeneity for Transferable Blocking in RAG cites this paper.

When Safety Becomes a Vulnerability: Exploiting LLM Alignment Homogeneity for Transferable Blocking in RAG DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 9

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no resolver link, observed 2026-08-03T01:25:14.227394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:25:14.227394Z digest=sha256:a3e52a3297be3a0ce0ab3ce805fa5ad48cb4e41e599ade1de626a8a5d421c0c8

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

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no resolver link, observed 2026-07-15T15:03:20.637041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T15:03:20.637041Z digest=sha256:ed5a176297269e2545289eaac59d18734b225b9f0106abdd9872ca9ebf8ddce5

Observation 6da27904-d2a9-4bbd-a045-e769dd5a3e94 · inbound

NGDBench: Towards Neural Graph Data Management cites this paper.

NGDBench: Towards Neural Graph Data Management DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 3948

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no resolver link, observed 2026-08-02T20:13:02.485849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:13:02.485849Z digest=sha256:ee91eac15cb186c7593d23b99cb42d43c181cf553b3a842939d42184cb22a9fd

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T15:25:51.138776Z digest=sha256:e28574b308ddb652d6282ef99e99a5a04387bcabffe44aadfc974cce0ed313c9

Observation 238421c0-db7b-4ad5-add8-d2edb30b4c29 · 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 59

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no resolver link, observed 2026-08-02T18:44:33.114660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:44:33.114660Z digest=sha256:3ab6815f1c9c3ab8ba883c1dc8837e96d094e9e1f57f5d5208c89af5da144444

Observation f8c38170-28d7-4c5a-befd-58db12a4edd4 · inbound

Stem: Rethinking Causal Information Flow in Sparse Attention cites this paper.

Stem: Rethinking Causal Information Flow in Sparse Attention DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 7

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unresolved
no resolver link, observed 2026-08-03T02:39:29.063080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:39:29.063080Z digest=sha256:5715fb3d18bc712be31c5be553a72662f5237f75b96847a745853011469c2183

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T15:27:47.957035Z digest=sha256:1dd00d503b3fed762a1e3ade03a0922e972c58acd045d2dc5746cdf61ce2a88b

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T14:23:00.793443Z digest=sha256:6d8f8de2a96134d850fbd28da1462bdd558b0c23c7c26d3e51651bc82f4ad836

Observation f0a061ce-8cdc-4835-bf7f-905b590e67fc · inbound

Retrieve, Schedule, Reflect: LLM Agents for Chip QoR Optimization cites this paper.

Retrieve, Schedule, Reflect: LLM Agents for Chip QoR Optimization DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 12

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no resolver link, observed 2026-08-02T18:17:31.050780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T18:17:31.050780Z digest=sha256:742feba9e871ca4eedbe4133942bc459f0f984b3b913be522c030bdc7255d4b2

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

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no resolver link, observed 2026-07-14T20:29:33.439034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:29:33.439034Z digest=sha256:5e66c8ccd205b08b7c8a831e7d59aa81accb701cdb764c125d4f3e2c06a6a0cc

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

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no resolver link, observed 2026-07-15T11:59:49.461107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T11:59:49.461107Z digest=sha256:29830ca55c09fceeaa109cc52e9aaeedbda14ecdc9e377ce9b2a3da7610f4358

Observation 26ee983d-70a8-44b6-8f28-3926efb03209 · 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

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unresolved
no resolver link, observed 2026-08-02T18:07:47.930839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:07:47.930839Z digest=sha256:ae10cafbfbf275a0ecaf01f5ef7fe031da1ca713a214f427aa00fe9213726977

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T09:33:47.702580Z digest=sha256:3e0f225deb3546f64d2f4a7d35a1aaa5b0a846ba98a7a3ccad085e1b85f5100a

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

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no resolver link, observed 2026-07-13T20:48:11.937716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:48:11.937716Z digest=sha256:5f52192c069d3037f0d905b80b3089c793c66ffa3d6258da2fb27f9485b9a3ab

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T16:00:03.578685Z digest=sha256:355213e0e5c046c98bf9efe0d75350a13654456e2f2af4f192d17b1e432e8a83

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T01:20:03.181903Z digest=sha256:5ca2818c900fdbb604b661f2dd1fad9f3bb9baaf528d903e9872e69dc8f38947

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T00:21:26.758816Z digest=sha256:7fe9581361d70b2d77a2b752b79e14100bc6e29be1ddacd5003d9ae6089bb7cd

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.

source=pdf_text observed=2026-07-13T18:44:48.222670Z digest=sha256:7aa14dd17ea12d69a9c0a17750662b26d29ebc228204847ff26f3d36c019481b

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T23:06:39.545404Z digest=sha256:472fdf9698a4a547e42b554c3e8868eaf1148c11ef0f18cf2993c2bbd60e84f6

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T14:50:23.587894Z digest=sha256:a67339d65fc63b956a4a380001e07db33b0826619e3fdc9cd9c62800cb916023

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T22:16:56.848520Z digest=sha256:8c038feecbd424a34e634c720ab4c8ac301c101aa419572524c830cd2ed63730

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T22:17:13.431164Z digest=sha256:9d64728b7fa5067dd9ee603b60bb912c7cb05a343c98dbe3d4c60afdb02cd075

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.

source=pdf_text observed=2026-07-13T16:19:49.419805Z digest=sha256:e94ebe2e19d752b7c70243a1199a79e908372d2c8abf4afcb68d6713212b08a6

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:40:28.854082Z digest=sha256:baa08c5414344d1346b1294cc70053c14414a0eea27e78e788c722b0b7774b18

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T00:25:49.807277Z digest=sha256:727c259b1255d0363006a4915757d0e19ca71001e08d226db038aed2d06ae3d6

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-13T21:44:07.775936Z digest=sha256:3b53ecec2fb466af2fdf5ae1457ad44db71f74433e6628ac0857fa4b0450046b

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T19:26:42.499046Z digest=sha256:123217fe9dcbc94d26c6e41f3510a0eb2b3924f034a84c7cee58e144faa12e22

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T18:56:31.975626Z digest=sha256:05baf1d9eaf4971f92460750f9dafed5f9db607222a3525a6bddfa67fdbecf95

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-13T19:48:13.133733Z digest=sha256:b13868e14577329703acdb115efbb6c5cdd744e90b4743c7a2d3e6593a74d647

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T22:42:43.070265Z digest=sha256:80a4667d4d46220c6ed2f86527f09957809aa59d846e498fe00ebce150179985

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:53:33.951884Z digest=sha256:6a96f63d23e8703b8af308d74c0961ce84ec6f0cbe3baf0d439c647a2decf695

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T20:01:13.305374Z digest=sha256:8d6eb07cccf4b4d41c9ddc382fc2f7af17aca220042d4548e7e5295f60b9a5ec

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T19:06:10.718673Z digest=sha256:07981551c19af0df4bf3477e43a124e53795cbcd698fda0cabfdf7bfabe38d27

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:56:32.201591Z digest=sha256:2904820c51ccd1ade80640ca9d4ff74a2f2f066c256ec2ed8e48c4c687aba13e

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:05:01.812948Z digest=sha256:791a8b7e9a4c429da43611c87b17092f2b9ccc64b5ebd14d15b260a5b561acf9

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:28:58.515666Z digest=sha256:d85c7c2b1dae88f5ddff9c869455b1948b686c5596a06331f654be5d6754fd9f

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:05:34.666937Z digest=sha256:28568c74c24ee024be7fc8d387993721a5ee440949b4115a1528da103dfb5a93

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:05:40.242925Z digest=sha256:aa6b2a41ccab2986ce26f9848d4b95e4887bc497ec41396b088605aeab19a7a8

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:34:55.124964Z digest=sha256:ab74936556288096d650e772ae4bea9ae38199b30b3f1197c5884a16b13e4d0d

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T18:24:42.800233Z digest=sha256:31261a0f35965fde48eaf63af7de4fa237d68f1b5881fdfd324ec62dcb4b9586

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.

source=pdf_text observed=2026-07-12T23:37:01.875768Z digest=sha256:4b994a7a9df6f830b9ba4ccc1a0287cba401cc2964c8b7be550d88c3e9278405

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:25:31.097385Z digest=sha256:02f38824fd0c63a068e91ab3a6d83ca61e31b1e4429ddd351ca56c993344a9d2

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:36:05.941649Z digest=sha256:4d26d0abce9cbdc2a778f471d6744715804fafb749885a7d80f886296b01c4b9

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T16:35:16.056397Z digest=sha256:a89c9da6f7581462829c4a6e30063d8d9b3850c2caf1b4ed9c2cc98af7c6bfcd

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:35:49.575589Z digest=sha256:c96b8aff93bab30978135e548e552e08a395666dc4e010db967e712c0ac05e26

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:50:19.740170Z digest=sha256:eb98e6b345be6bae4eca7c26549a4fcf4cbb03b0f8d2d67a5fdf787f08bc64ab

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:10:06.042478Z digest=sha256:d29f603e23fd30b524301f201ab4e8062507e01ca7cdbd08c13dae693c4d8f58

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:43:27.037355Z digest=sha256:96675bd51b4332329636713ce1f1c4b1a72c62abd1bf3aad4d8857849e0bf85d

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:55:09.238676Z digest=sha256:c519d6b63f18a59990481607ef3dc1636d9f70b16e74721920949beda49db876

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:25:59.609473Z digest=sha256:681fc06ccc095124f1a9edf40e51be060f000b719ba00c70999ebe8a01304dc2

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:06:39.045269Z digest=sha256:de8cf7397d705fd82e1dab43b2b3c6eef5f74bb249e71ba1765f4a56543c67e8

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T14:59:49.488127Z digest=sha256:b34dd3fcdb39852969f47cbd25d8d0b846632d518aab8ab29f51ecbf0259bdb2

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T14:54:51.051959Z digest=sha256:7492b002b277cdf7b73eaf593d6bb65fe94fdcc3523edbd5e6b1785146ea70a9

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:06:43.140580Z digest=sha256:8bce3ffba89bb63434b7cd8296b3416038e262a14a3dcddb3599418a08fca183

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:15:59.622461Z digest=sha256:5dda336457f3735b6d10ec28250f85be4f675c8518a3754fcd0ea71681b3e8ab

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:10:40.858525Z digest=sha256:8c6dda76968e80106d982cce191d62104b8aca0abfad90892ace9f82e522aa34

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:40:32.137708Z digest=sha256:a64abdf443d3e80167a446f52a68b47d4b5d9f9aa20821b507611e1f00b7eaeb

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:6d6e462047a7ca8a4c7ff19d0d9125c3c639791fd99331cd7652aea28f5a9213

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T14:12:45.438246Z digest=sha256:5dd27aff8a9e6cbd52ac6dd16f5a79390ea8e59c5b5c0a7dd6ae666b8e5a91bc

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T14:02:10.277246Z digest=sha256:8495bc24bda7687b9cfcb86dabb000127d6ea17f906e52c5d7b8f3a696b1b89b

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:51:03.591878Z digest=sha256:b4a30c36803061ea80575e804a28d20be75b9ce94e9db7cdcacb3f11c6b55dec

Observation 255b7f7a-e94d-4176-a773-7119dee936d1 · inbound

POINTS-Seeker: An Open Recipe for Multimodal Search Agents with Visual Memory Management cites this paper.

POINTS-Seeker: An Open Recipe for Multimodal Search Agents with Visual Memory Management 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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T13:09:24.304696Z digest=sha256:c5c65b3c2c1aa6b18ed177e85bce6c5b4349a5d9af02a519d66db280160900ff

Observation eb416f3c-dde2-44fd-98dc-93df288e2b20 · inbound

POINTS-Seeker: An Open Recipe for Multimodal Search Agents with Visual Memory Management cites this paper.

POINTS-Seeker: An Open Recipe for Multimodal Search Agents with Visual Memory Management DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T16:18:21.675833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:18:21.675833Z digest=sha256:e7573bd61fa89cefa18349d4fc4f478c992e0abdc1dd1729099ef89c93c5dd94

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T12:33:04.984953Z digest=sha256:8593fd4b7b36ffdf3e78a087123e71c78cf6d07da558f23a1fae7ad16d6bc09c

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T11:27:11.257817Z digest=sha256:791953913ab74c58dc530368aef486c31556af04c13fbd1aec2c2903c24a9e2f