Paper Citation Record · LEDGER

From Noise to Diversity: Random Embedding Injection in LLM Reasoning

As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2605.11936.

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

pith.paper-citation-record.v1
2605.11936 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:23:02.023549Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

34 of 34 outbound references displayed

verified exact0
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ca98a0e-35f0-405a-ad62-3c1a74539144 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:57.612797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f784d28-2b35-4843-8a92-b1c4abfaf892 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:57.718884Z

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Observation 630f03ff-a40a-4a6a-a4d8-f7493e79510c · outbound

This paper cites Evaluating Large Language Models Trained on Code.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Evaluating Large Language Models Trained on Code

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:57.863899Z

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Observation c4f5e49e-3d62-4e97-80a0-4c2826edb341 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:58.022906Z

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Unavailable: canonical work link unavailable.

Observation bc7b5fa6-0e0e-44f2-8c2a-66e578013ecf · outbound

This paper cites Cohen, Elan Rosenfeld, and J.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Cohen, Elan Rosenfeld, and J

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:58.192873Z

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Observation 75658d01-d86b-4698-98da-553a5f13a00a · outbound

This paper cites A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:58.287357Z

Source-reported events for the cited work

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Observation b90a9a3c-da7c-497f-9c7d-227d0c6c48ba · outbound

This paper cites Noisy Networks for Exploration.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Noisy Networks for Exploration

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:58.486464Z

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Observation 0dc43b3b-95cf-42e8-b009-6b19296365e7 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Transformer Feed-Forward Layers Are Key-Value Memories

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:58.652003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac03f57b-d8d1-4f84-89a1-88f9bf1ec65c · outbound

This paper cites Think before You Speak: Training Language Models with Pause Tokens.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Think before You Speak: Training Language Models with Pause Tokens

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:58.819269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbcf4862-5c48-4c53-b4be-eb47019d7013 · outbound

This paper cites The Llama 3 Herd of Models.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:58.990703Z

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Observation a702a4b2-8100-4379-9be3-c783e4867106 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Training Large Language Models to Reason in a Continuous Latent Space

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:59.151779Z

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Observation aba35923-6052-4168-bc41-e4f80e51da72 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Parameter-Efficient Transfer Learning for NLP

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:59.266333Z

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Observation adeeeb66-1347-4490-bac5-fd681803c37d · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:59.424150Z

Source-reported events for the cited work

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Observation 42e27aec-a128-4795-8a6e-7418bde389fb · outbound

This paper cites Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, and Tom Goldstein.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, and Tom Goldstein

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:59.513410Z

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Unavailable: canonical work link unavailable.

Observation 1e373968-4bac-4db9-8ff1-208445412950 · outbound

This paper cites Model Whisper: Steering Vectors Unlock Large Language Models' Potential in Test-time.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Model Whisper: Steering Vectors Unlock Large Language Models' Potential in Test-time

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:59.615662Z

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Observation e0628b04-fb4c-46ef-a546-bcd2eb19f78b · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:59.770654Z

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Observation 291c643c-cbd5-484b-b073-52f4ba755841 · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T14:22:59.934919Z

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Unavailable: canonical work link unavailable.

Observation 2dc549be-c82b-40b8-99bf-211269619466 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:00.048316Z

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Unavailable: canonical work link unavailable.

Observation 5886a573-db93-4950-83c3-be0600329856 · outbound

This paper cites Let's Verify Step by Step.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Let's Verify Step by Step

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:00.173593Z

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Observation b4e12b7d-1cf7-4e83-8cac-bb9d794c4aad · outbound

This paper cites GPT Understands, Too.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning GPT Understands, Too

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:00.289941Z

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Unavailable: canonical work link unavailable.

Observation ba638657-2707-4947-87a4-a2d56a9959cb · outbound

This paper cites Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:00.405066Z

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Observation 62ed6bd1-3c8c-490f-ad3f-3870ee90cba7 · outbound

This paper cites an unresolved cited work.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:00.521042Z

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Observation 954fb6fa-c477-4bf4-828b-ec5e337194f1 · outbound

This paper cites an unresolved cited work.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:00.688576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4148c59-864f-4323-ac1c-a142d15768e6 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:00.829300Z

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Observation 36de48ff-6f58-45d5-b81c-295de768373f · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:00.972209Z

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Unavailable: canonical work link unavailable.

Observation 8731c27b-a321-496d-bcbc-bebc68d61cd6 · outbound

This paper cites Dropout: A Simple Way to Prevent Neural Networks from Overfitting.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:01.043987Z

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Unavailable: canonical work link unavailable.

Observation 5fe88fbe-3bcf-4d9f-a4ea-136c5d5112ce · outbound

This paper cites Sutton and Andrew G.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Sutton and Andrew G

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:01.143603Z

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Observation 6cdb1f02-66af-45c4-825c-c546009f2aaa · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:01.238230Z

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Observation fa01a075-5e1b-4e62-b28b-c51c0795e4fb · outbound

This paper cites SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:01.344460Z

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Observation 32062cb7-e4ed-4ebb-844a-9a4c1513cb1f · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:01.425488Z

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Unavailable: canonical work link unavailable.

Observation eec0012b-c9e1-4544-8d40-e2173835150d · outbound

This paper cites Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning Thinking on the Fly: Test-Time Reasoning Enhancement via Latent Thought Policy Optimization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:01.599015Z

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Unavailable: canonical work link unavailable.

Observation 916a5c27-7f94-4e3c-aa3c-4eb7eff3c776 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:01.746175Z

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Observation d801b1eb-fa2f-4fc6-8808-c1cfc2efa0da · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:01.898121Z

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Observation 3b3a8261-96e4-4126-b83e-6b4ccd1fc7ab · outbound

This paper cites MemGen: Weaving Generative Latent Memory for Self-Evolving Agents.

From Noise to Diversity: Random Embedding Injection in LLM Reasoning MemGen: Weaving Generative Latent Memory for Self-Evolving Agents

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T14:23:02.023549Z

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Pith citing papers

No inbound Pith citation observations are available.