Challenges and Applications of Large Language Models | Paper Citation Record

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Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations cites this paper.

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations Challenges and Applications of Large Language Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:34:15.756417Z

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Observation a1b313e3-fd56-442b-8a43-618194cb7e18 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Challenges and Applications of Large Language Models

Reference 209

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:22:55.952990Z

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Observation 35a91e3d-920a-4546-9ef8-ad20949a2dc1 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Challenges and Applications of Large Language Models

Reference 195

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T17:34:42.804340Z

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Observation 6fb7fd57-cd1d-4bc8-9a1a-14e55b7f361d · inbound

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression Challenges and Applications of Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-24T00:13:39.560059Z

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Observation adfd210a-640d-43a1-9e64-37347db2a49e · inbound

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning cites this paper.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Challenges and Applications of Large Language Models

Reference 8

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Observation cdc94ba1-f4e0-4a7b-90e8-0d987d8a083d · inbound

PromptShield: Deployable Detection for Prompt Injection Attacks cites this paper.

PromptShield: Deployable Detection for Prompt Injection Attacks Challenges and Applications of Large Language Models

Reference 12

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Observation aa6d82a1-c95d-45ae-8613-b2e320ad036a · inbound

Generative AI Uses and Risks for Knowledge Workers in a Science Organization cites this paper.

Generative AI Uses and Risks for Knowledge Workers in a Science Organization Challenges and Applications of Large Language Models

Reference 21

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Observation 241a7c39-5c31-4ae5-98f2-37fbe4ed47d1 · inbound

AI Governance through Markets cites this paper.

AI Governance through Markets Challenges and Applications of Large Language Models

Reference 81

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Observation 68002f0a-4a22-429c-8857-d77a56330f24 · inbound

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization cites this paper.

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization Challenges and Applications of Large Language Models

Reference 19

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Observation 21c9d41a-c017-4551-9245-53e35e6eb829 · inbound

Dynamic benchmarking framework for LLM-based conversational data capture cites this paper.

Dynamic benchmarking framework for LLM-based conversational data capture Challenges and Applications of Large Language Models

Reference 14

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Observation 81f76193-46b4-4c7e-bfbe-15ea25755cd8 · inbound

Boosting Self-Efficacy and Performance of Large Language Models via Verbal Efficacy Stimulations cites this paper.

Boosting Self-Efficacy and Performance of Large Language Models via Verbal Efficacy Stimulations Challenges and Applications of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T14:46:41.045500Z

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Observation ed83df33-e554-4ed4-a75b-022cfe10914d · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence Challenges and Applications of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T23:49:14.531294Z

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Observation 80a27dc0-f98f-4787-ae07-e01ad4f95f90 · inbound

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages cites this paper.

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages Challenges and Applications of Large Language Models

Reference 68

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Observation 60bd0767-dcfe-43c8-9814-479d7479a2e5 · inbound

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning cites this paper.

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning Challenges and Applications of Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:32:22.530017Z

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Observation d2f25941-c9ad-497e-9cfb-ae67c92c6063 · inbound

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models cites this paper.

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models Challenges and Applications of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:22:14.837529Z

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Observation 98795094-409e-4c76-8392-426c594f8830 · inbound

InFact: Informativeness Alignment for Improved LLM Factuality cites this paper.

InFact: Informativeness Alignment for Improved LLM Factuality Challenges and Applications of Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:01.412128Z

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Observation 8fb13176-a1aa-408e-8a83-e24201382f23 · inbound

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building cites this paper.

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building Challenges and Applications of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:46:07.664498Z

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Observation 9715ff79-b118-45c2-a83e-1d30d446f897 · inbound

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity cites this paper.

AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity Challenges and Applications of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:53.416097Z

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Observation 3ff0d59d-4d6b-45b2-a638-e7ff03083d48 · inbound

DLM-One: Diffusion Language Models for One-Step Sequence Generation cites this paper.

DLM-One: Diffusion Language Models for One-Step Sequence Generation Challenges and Applications of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:28.609834Z

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Observation caa62ccc-1abb-4958-bcc5-1c7c78906114 · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving Challenges and Applications of Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:11:03.124472Z

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Observation a80b1263-79c4-44ce-a641-64f3581c4dd5 · inbound

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs cites this paper.

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs Challenges and Applications of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:35:00.344744Z

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Observation ac902d58-f816-41f7-a2e2-0bbef8ce0ba2 · inbound

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning cites this paper.

PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning Challenges and Applications of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:58:07.013592Z

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Observation 78228841-48af-4eed-9109-bd4175f41806 · inbound

Hallucination Detection with Small Language Models cites this paper.

Hallucination Detection with Small Language Models Challenges and Applications of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.445965Z

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Observation d16fd78a-5405-4cde-811f-ac8c9f3b5dbf · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Challenges and Applications of Large Language Models

Reference 158

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:34.616735Z

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Observation 19f6fe0f-ffcc-4feb-8e60-57b79d689e53 · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Challenges and Applications of Large Language Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:10.854479Z

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Observation ccb68d94-07bf-4603-b041-3447f2597702 · inbound

A Comprehensive Review of Human Error in Risk-Informed Decision Making: Integrating Human Reliability Assessment, Artificial Intelligence, and Human Performance Models cites this paper.

A Comprehensive Review of Human Error in Risk-Informed Decision Making: Integrating Human Reliability Assessment, Artificial Intelligence, and Human Performance Models Challenges and Applications of Large Language Models

Reference 119

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:34.137997Z

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Observation 8ef395f0-49f1-499f-ad42-4ec94f2a89cd · inbound

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy cites this paper.

Is It Time To Treat Prompts As Code? A Multi-Use Case Study For Prompt Optimization Using DSPy Challenges and Applications of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:17.632250Z

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Observation 150e3d69-682f-447d-b926-28046ef4f037 · inbound

Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks cites this paper.

Exploring the Limits of Model Compression in LLMs: A Knowledge Distillation Study on QA Tasks Challenges and Applications of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:42:07.256439Z

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Observation 62010bf5-9951-496a-8fcb-813a7c7d3504 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Challenges and Applications of Large Language Models

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:30.255613Z

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Observation 120d88d0-ddce-4ec5-b2de-ec651730f150 · inbound

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems cites this paper.

Multi-Stage Prompt Inference Attacks on Enterprise LLM Systems Challenges and Applications of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:51.106135Z

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Observation 2764dcfb-04ad-4bec-bc39-b1f42ee2eb62 · inbound

LOCOFY Large Design Models -- Design to code conversion solution cites this paper.

LOCOFY Large Design Models -- Design to code conversion solution Challenges and Applications of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T15:20:34.360486Z

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Observation 16c5e78a-5b62-4fea-9144-3a5ce06dd795 · inbound

The Impact of Fine-tuning Large Language Models on Automated Program Repair cites this paper.

The Impact of Fine-tuning Large Language Models on Automated Program Repair Challenges and Applications of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:43.241891Z

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Observation 81935c7d-280f-4a0e-91e8-f1b27fcffd80 · inbound

What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations cites this paper.

What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations Challenges and Applications of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T13:48:10.006473Z

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Observation bfbcc001-fb20-4b23-b8f1-d1fd16215564 · inbound

LeakyCLIP: Extracting Training Data from CLIP cites this paper.

LeakyCLIP: Extracting Training Data from CLIP Challenges and Applications of Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-22T12:34:52.521363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 143b342c-80e6-45dc-83e4-2c4e6e928ea6 · inbound

Insights into User Interface Innovations from a Design Thinking Workshop at deRSE25 cites this paper.

Insights into User Interface Innovations from a Design Thinking Workshop at deRSE25 Challenges and Applications of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T16:15:38.341862Z

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Observation f9073330-54fb-41c9-b838-e9fa5d460af3 · inbound

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach cites this paper.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Challenges and Applications of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:34:17.588895Z

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Observation 5f25851f-02cd-448e-a791-9be3cf8900a7 · inbound

Challenges and Applications of Large Language Models: A Comparison of GPT and DeepSeek family of models cites this paper.

Challenges and Applications of Large Language Models: A Comparison of GPT and DeepSeek family of models Challenges and Applications of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T14:22:56.777525Z

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Observation 2a2105fd-c14b-4207-a658-4c2051cc8d3f · inbound

Psychologically Enhanced AI Agents cites this paper.

Psychologically Enhanced AI Agents Challenges and Applications of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T10:17:48.680902Z

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Observation 67651c30-a3da-4feb-ac8a-ceaf6a0aa93b · inbound

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models cites this paper.

Backdoor Samples Detection Based on Perturbation Discrepancy Consistency in Pre-trained Language Models Challenges and Applications of Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T13:44:38.382758Z

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Observation 5b73fe14-63c2-4979-b4e8-47f6de00b859 · inbound

What Is The Political Content in LLMs' Pre- and Post-Training Data? cites this paper.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Challenges and Applications of Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:41:22.896613Z

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Observation c2c51ff5-6b8c-4779-ba10-d78107a9cc50 · inbound

CacheTrap: Unveiling a Stealthier Gray-Box Trojan against LLMs cites this paper.

CacheTrap: Unveiling a Stealthier Gray-Box Trojan against LLMs Challenges and Applications of Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:14:00.215360Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fd8fbc7-9b4f-4281-8076-a93656c3db71 · inbound

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy cites this paper.

Real Faults in Model Context Protocol (MCP) Software: a Comprehensive Taxonomy Challenges and Applications of Large Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-04T05:55:44.667052Z

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Observation 0592d129-0a65-4a13-a39d-cf91a5573e10 · inbound

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults cites this paper.

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults Challenges and Applications of Large Language Models

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:12:58.602633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33e68e1a-3f4c-49d9-9ac2-549279753d55 · inbound

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions cites this paper.

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions Challenges and Applications of Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:50:59.253903Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aea58b42-45b8-479f-9d0f-0ffb9a29cf81 · inbound

SAW-INT4: System-Aware 4-Bit KV-Cache Quantization for Real-World LLM Serving cites this paper.

SAW-INT4: System-Aware 4-Bit KV-Cache Quantization for Real-World LLM Serving Challenges and Applications of Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T03:14:08.308026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd95cc2b-d59b-4c31-a720-0e9f0168833c · inbound

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning Challenges and Applications of Large Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:26:25.188111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation db806cf1-10e6-4a97-b525-74f6157cef81 · inbound

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning cites this paper.

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning Challenges and Applications of Large Language Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:39.073134Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dba94353-2723-4571-8794-b75fc9f7f641 · inbound

RouteHijack: Routing-Aware Attack on Mixture-of-Experts LLMs cites this paper.

RouteHijack: Routing-Aware Attack on Mixture-of-Experts LLMs Challenges and Applications of Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:46:18.935235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c80b0a8-832b-403f-a782-a998c1161e72 · inbound

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination cites this paper.

Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination Challenges and Applications of Large Language Models

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:16:24.353175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f9d52d3-515c-4929-8528-81eb56ae8101 · inbound

ACL-Verbatim: hallucination-free question answering for research cites this paper.

ACL-Verbatim: hallucination-free question answering for research Challenges and Applications of Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T04:54:35.964091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a2b16e7-1e48-4779-9948-b39bc9762923 · inbound

Towards Large Model Feature Coding cites this paper.

Towards Large Model Feature Coding Challenges and Applications of Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:15:47.196082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bdf3685d-18d9-4adc-8c01-87dd710dfb76 · inbound

SuperValid: Capability-Aligned OOD Validation for Generalizable Downstream Scaling cites this paper.

SuperValid: Capability-Aligned OOD Validation for Generalizable Downstream Scaling Challenges and Applications of Large Language Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:03:26.408520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 600ae53e-0984-4d20-8978-92e84c311393 · inbound

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners cites this paper.

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners Challenges and Applications of Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.739846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b6ed76fc-291a-4d43-be45-a2401d7594b1 · inbound

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions cites this paper.

Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions Challenges and Applications of Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T03:57:47.560737Z

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Observation 94325d3d-9af1-4821-bac8-7556ecf53dd2 · inbound

Semantic Drift and the Stability of Operator Control in Reasoning-Class Decision Support Systems cites this paper.

Semantic Drift and the Stability of Operator Control in Reasoning-Class Decision Support Systems Challenges and Applications of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T15:43:24.809948Z

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Observation d46f3ebd-914c-488a-8f6b-bef0aeb36972 · inbound

Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model cites this paper.

Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model Challenges and Applications of Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T12:55:22.304868Z

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Observation 59dd257f-1a04-4805-af08-97d77543e8d6 · inbound

FastTPS: An Optimized Method for LLM Token Phase for AI accelerators cites this paper.

FastTPS: An Optimized Method for LLM Token Phase for AI accelerators Challenges and Applications of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T06:16:09.070414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1695a52-82c8-4f80-8166-af04f1ed617e · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Challenges and Applications of Large Language Models

Reference 190

Resolution: unresolved; no resolver link, observed 2026-08-05T15:25:40.166569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

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Outbound references

Pith citing papers