Paper Citation Record · LEDGER

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2508.02997.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.02997 v3

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:50:11.457129Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b60e0a0-ab38-455e-89a3-2c32b7e908d3 · outbound

This paper cites Program Synthesis with Large Language Models.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Program Synthesis with Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.167346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625c3eb4-5062-4bab-8d07-44a6c839d1a8 · outbound

This paper cites Teaching Large Language Models to Self-Debug.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Teaching Large Language Models to Self-Debug

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.233179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6219e041-5cb9-4b36-903a-353e4645a0f6 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.340276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5451de2-b14f-4b1d-973f-b135398e3052 · outbound

This paper cites an unresolved cited work.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.417530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fc54e83-8c35-4f47-b74c-f90440e2a2f4 · outbound

This paper cites an unresolved cited work.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.486827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08edfa25-c01c-4812-a319-06b0b81273b9 · outbound

This paper cites an unresolved cited work.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.626530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56f89262-56c3-4dc6-8d5f-6ce74f4bc4d0 · outbound

This paper cites ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.670033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d253d973-85cf-4ae4-9af6-32510839fc5b · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors InCoder: A Generative Model for Code Infilling and Synthesis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.738567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730f7699-356e-47ce-b280-176f9d036f8c · outbound

This paper cites 2024.Copilot.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors 2024.Copilot

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.804523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8776ff-9193-467e-8a94-33e38674ba64 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Code Llama: Open Foundation Models for Code

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.878397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c077f6bf-90b0-451f-8612-318b93611e64 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.968783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c952b424-b620-4eef-b93d-bb4851a32b34 · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Measuring Coding Challenge Competence With APPS

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.057478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68c2ba9f-832c-4508-bab7-f9af7d99fe18 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.122298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490a725b-39aa-4a54-9d87-eaad4a51d8d7 · outbound

This paper cites xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.207313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84bd3359-2ab3-458d-8d1c-c9915553bb4f · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Gonzalez, Hao Zhang, and Ion Stoica

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.298089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ba02aa-58c1-4488-beba-11db4c01afe4 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.360634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cf70bed-8811-4b51-adfc-0d11a8f73c86 · outbound

This paper cites EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.449465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c477ef1-30ed-4a73-a47e-d6e507da45ba · outbound

This paper cites RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.516832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af796a5f-f0b6-4d16-a43c-3e75e1bbdc95 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors StarCoder 2 and The Stack v2: The Next Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.603590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2421d692-e67b-4b81-8f99-4b8f5bbfd266 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.703106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ce4160-9a7d-4189-a22f-5673cf1da4c3 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.766003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bce0eea-3575-4527-a092-4cc9eec40ec0 · outbound

This paper cites 2024.ChatGPT.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors 2024.ChatGPT

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.832893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57688342-e41b-44d8-aea7-a6722e227c7c · outbound

This paper cites an unresolved cited work.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.903700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce2af1a-ce6a-4c92-8489-12631c6fa70e · outbound

This paper cites an unresolved cited work.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:10.978815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fcf28cc-cc02-4a9d-bda4-c861f9934d6d · outbound

This paper cites Qwen2.5 Technical Report.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Qwen2.5 Technical Report

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:11.075802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25896465-a028-4832-9062-496ff4d7cdfb · outbound

This paper cites an unresolved cited work.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:11.134002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3fa5402-5d21-466b-a5f7-ef42c7783443 · outbound

This paper cites an unresolved cited work.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:11.193479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1d73c3-5a3d-4fa0-a07c-8ec66a9901ba · outbound

This paper cites CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:11.262325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5c53be6-88cf-48d8-93e6-6d938ee7d5f4 · outbound

This paper cites RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:11.390913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffcd3222-ef42-4132-b689-7e504c7be5ed · outbound

This paper cites CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:11.457129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da2ac29a-b449-49e2-bb1c-a8162083970f · outbound

This paper cites CodeScore: Evaluating Code Generation by Learning Code Execution.

CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors CodeScore: Evaluating Code Generation by Learning Code Execution

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T04:50:09.552297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.