Paper Citation Record · LEDGER

Spectral Rewiring for Exploration, Purification, and Model Merging

As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.03065.

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

pith.paper-citation-record.v1
2607.03065 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:08:55.438431Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

49 of 49 outbound references displayed

verified exact0
verified fuzzy0
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 463e3d89-7af3-4f40-9191-7ec03e1ba523 · outbound

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

Spectral Rewiring for Exploration, Purification, and Model Merging DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation f7c495ee-d380-4d58-9435-6ca86e548556 · outbound

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

Spectral Rewiring for Exploration, Purification, and Model Merging DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 0c9ada2e-ea6e-48aa-b7a8-855cdf906d4a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Spectral Rewiring for Exploration, Purification, and Model Merging Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 617d0624-dea4-46e5-ad8f-5211d11a0182 · outbound

This paper cites Let's Verify Step by Step.

Spectral Rewiring for Exploration, Purification, and Model Merging Let's Verify Step by Step

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 5ead472e-b5ec-42bb-b603-e0297fa82021 · outbound

This paper cites Understanding the Effects of RLHF on LLM Generalisation and Diversity.

Spectral Rewiring for Exploration, Purification, and Model Merging Understanding the Effects of RLHF on LLM Generalisation and Diversity

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 3d5801d1-af89-46e9-9524-0791bd67cb62 · outbound

This paper cites Confronting Reward Model Overoptimization with Constrained RLHF.

Spectral Rewiring for Exploration, Purification, and Model Merging Confronting Reward Model Overoptimization with Constrained RLHF

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation f1ee9b72-706b-4e1f-8e6b-77beaf390137 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

Spectral Rewiring for Exploration, Purification, and Model Merging Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 3f67539c-dedd-47e7-8c32-85b838f06164 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Spectral Rewiring for Exploration, Purification, and Model Merging Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 19227b61-74bd-4251-b924-923a0bcfd062 · outbound

This paper cites Editing Models with Task Arithmetic.

Spectral Rewiring for Exploration, Purification, and Model Merging Editing Models with Task Arithmetic

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 2a67b6d1-0c30-415d-b7b1-1cdf1ec007c6 · outbound

This paper cites TIES-Merging: Resolving Interference When Merging Models.

Spectral Rewiring for Exploration, Purification, and Model Merging TIES-Merging: Resolving Interference When Merging Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 74c1a128-250d-41ef-949f-0492b934f725 · outbound

This paper cites Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch.

Spectral Rewiring for Exploration, Purification, and Model Merging Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation ffad3e86-5095-4536-a9b0-cd11f7bf5118 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Spectral Rewiring for Exploration, Purification, and Model Merging Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation d9de9984-af0e-4e89-b689-7e3387caf46c · outbound

This paper cites ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models.

Spectral Rewiring for Exploration, Purification, and Model Merging ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation de59e951-7fda-4eb0-9d94-37b4f30fcdd9 · outbound

This paper cites SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

Spectral Rewiring for Exploration, Purification, and Model Merging SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 07d52470-137d-4a9f-831b-821774cc7979 · outbound

This paper cites Halford, William H.

Spectral Rewiring for Exploration, Purification, and Model Merging Halford, William H

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation d9e3aade-a355-49d9-86b7-b6942090ae14 · outbound

This paper cites A simple neural network module for relational reasoning.

Spectral Rewiring for Exploration, Purification, and Model Merging A simple neural network module for relational reasoning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 18c1d96d-fd94-46f4-b731-000f66b6dfad · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Spectral Rewiring for Exploration, Purification, and Model Merging Relational inductive biases, deep learning, and graph networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 4aeac8c0-64d5-467d-8f60-fa2507b8514e · outbound

This paper cites The exception of humour: Iconicity, Phonemic Surprisal, Memory Recall, and Emotional Associations.

Spectral Rewiring for Exploration, Purification, and Model Merging The exception of humour: Iconicity, Phonemic Surprisal, Memory Recall, and Emotional Associations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 076a87b3-249e-45a1-93b3-5bb5025eb290 · outbound

This paper cites POLARIS: A post-training recipe for scaling reinforcement learning on advanced reasoning models.https://hkunlp.github.io/blog/2025/Polaris/, 2025.

Spectral Rewiring for Exploration, Purification, and Model Merging POLARIS: A post-training recipe for scaling reinforcement learning on advanced reasoning models.https://hkunlp.github.io/blog/2025/Polaris/, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 9ebcb956-7b61-4def-8bc0-1311c6d75f9a · outbound

This paper cites Olmo 3.

Spectral Rewiring for Exploration, Purification, and Model Merging Olmo 3

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation b2c813a8-531e-477e-be42-29ad037960d1 · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Spectral Rewiring for Exploration, Purification, and Model Merging Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation b8c66eba-9dcc-4bdc-bf07-32a987fa381b · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Spectral Rewiring for Exploration, Purification, and Model Merging Evaluating Large Language Models Trained on Code

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 89bd534b-d98b-4f63-b10c-422ed495f99b · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Spectral Rewiring for Exploration, Purification, and Model Merging Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation cb8f835f-befa-42da-864b-9d44f8148312 · outbound

This paper cites Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, and Brad Kenstler.

Spectral Rewiring for Exploration, Purification, and Model Merging Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, and Brad Kenstler

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation c698e84e-ee7d-4793-8ab8-134d423d240c · outbound

This paper cites Openhands: An open platform for ai software developers as generalist agents.

Spectral Rewiring for Exploration, Purification, and Model Merging Openhands: An open platform for ai software developers as generalist agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 56b139e1-b554-41b3-ad54-7a4731089540 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues? InThe TwelfthInternational Conference on Learning Representations, 2024.

Spectral Rewiring for Exploration, Purification, and Model Merging Swe-bench: Can language models resolve real-world github issues? InThe TwelfthInternational Conference on Learning Representations, 2024

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation f5fb9fff-24ab-432c-af32-ef0e5b8e9103 · outbound

This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.

Spectral Rewiring for Exploration, Purification, and Model Merging Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 59fa6d90-8bc5-4f3c-bafb-04d52865da7c · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

Spectral Rewiring for Exploration, Purification, and Model Merging Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation dcb9e962-7c4a-4eb8-ace4-9a7cf07b3569 · outbound

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

Spectral Rewiring for Exploration, Purification, and Model Merging LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 432f862d-6233-49de-94fc-2de1f3338d63 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Spectral Rewiring for Exploration, Purification, and Model Merging Instruction-Following Evaluation for Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

Source-reported events for the cited work

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Observation ebcec1fe-dd2c-45bf-8c94-a213833a801b · outbound

This paper cites Qwen2.5 Technical Report.

Spectral Rewiring for Exploration, Purification, and Model Merging Qwen2.5 Technical Report

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation f701ab46-509a-480e-ab8d-0eca95bf63f6 · outbound

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

Spectral Rewiring for Exploration, Purification, and Model Merging Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation c0a9ef8f-2ac2-4683-af2e-e31c29330ba5 · outbound

This paper cites Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR.

Spectral Rewiring for Exploration, Purification, and Model Merging Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation bfa93151-1dfb-44ba-8c5f-2d40e190108d · outbound

This paper cites Deepcoder: A fully open-source 14b coder at o3-mini level.

Spectral Rewiring for Exploration, Purification, and Model Merging Deepcoder: A fully open-source 14b coder at o3-mini level

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 0a6fc729-e7c7-40be-ab54-a43b152ba3c6 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Spectral Rewiring for Exploration, Purification, and Model Merging Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation f644f80a-add8-4ba4-b9f5-aefcc615f1b0 · outbound

This paper cites Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems.

Spectral Rewiring for Exploration, Purification, and Model Merging Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 735e13ff-2756-48e3-88b5-344b01ad6948 · outbound

This paper cites Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models.

Spectral Rewiring for Exploration, Purification, and Model Merging Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation f8c8e8fc-38c5-4970-bdfb-78679f5cbb23 · outbound

This paper cites Maximum likelihood reinforcement learning.arXiv preprint arXiv:2602.02710, 2026.

Spectral Rewiring for Exploration, Purification, and Model Merging Maximum likelihood reinforcement learning.arXiv preprint arXiv:2602.02710, 2026

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 326e2421-e248-4b28-992f-ff78761c4316 · outbound

This paper cites Beyond the Sampled Token: Preserving Candidate Support in RLVR.

Spectral Rewiring for Exploration, Purification, and Model Merging Beyond the Sampled Token: Preserving Candidate Support in RLVR

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation cc29b61d-5658-4cc7-8cf9-a44881c18cf4 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Spectral Rewiring for Exploration, Purification, and Model Merging LoRA: Low-Rank Adaptation of Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 691b3072-9fa3-42cf-a4e4-08005d12ff76 · outbound

This paper cites DoRA: Weight-Decomposed Low-Rank Adaptation.

Spectral Rewiring for Exploration, Purification, and Model Merging DoRA: Weight-Decomposed Low-Rank Adaptation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 963ce3f3-8910-4156-8ac5-463c9cbd4fac · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

Spectral Rewiring for Exploration, Purification, and Model Merging PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation a37bc0f4-6b8c-404f-9163-bc7ae9d8beeb · outbound

This paper cites LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters.

Spectral Rewiring for Exploration, Purification, and Model Merging LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 3ec54a3c-c47e-4f05-9582-71ecb65e8ee0 · outbound

This paper cites On predictability of reinforcement learning dynamics for large language models.arXiv preprint arXiv:2510.00553, 2025.

Spectral Rewiring for Exploration, Purification, and Model Merging On predictability of reinforcement learning dynamics for large language models.arXiv preprint arXiv:2510.00553, 2025

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 6da35666-0193-413f-bace-9b6501f71163 · outbound

This paper cites Morris, Niloofar Mireshghallah, Mark Ibrahim, and Saeed Mahloujifar.

Spectral Rewiring for Exploration, Purification, and Model Merging Morris, Niloofar Mireshghallah, Mark Ibrahim, and Saeed Mahloujifar

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation cf287d29-84bd-459b-a067-c973185c4282 · outbound

This paper cites Enough is as good as a feast: A comprehensive analysis of how reinforcement learning mitigates task conflicts in llms.

Spectral Rewiring for Exploration, Purification, and Model Merging Enough is as good as a feast: A comprehensive analysis of how reinforcement learning mitigates task conflicts in llms

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation 992218dc-27cf-475b-bf0b-a4b3feab60ad · outbound

This paper cites JustRL: Scaling a 1.5b llm with a simple rl recipe.https://iclr-blogposts.github.io/2026/ blog/2026/justrl/, 2026.

Spectral Rewiring for Exploration, Purification, and Model Merging JustRL: Scaling a 1.5b llm with a simple rl recipe.https://iclr-blogposts.github.io/2026/ blog/2026/justrl/, 2026

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation b4cd7321-1e13-42e5-a48b-99fe271bdd0e · outbound

This paper cites X-Coder: Advancing competitive programming with fully synthetic tasks, solutions, and tests.arXiv preprint arXiv:2601.06953, 2026.

Spectral Rewiring for Exploration, Purification, and Model Merging X-Coder: Advancing competitive programming with fully synthetic tasks, solutions, and tests.arXiv preprint arXiv:2601.06953, 2026

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Observation f5a9bf34-d1a3-4be0-8328-0bb2c2c448b0 · outbound

This paper cites The no-projection control keeps the same top-1% low-rank component but removes the projection onto the pretrained SVD subspace.

Spectral Rewiring for Exploration, Purification, and Model Merging The no-projection control keeps the same top-1% low-rank component but removes the projection onto the pretrained SVD subspace

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T05:08:55.438431Z

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Pith citing papers

No inbound Pith citation observations are available.