Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models | Paper Citation Record

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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This paper cites GPT-4 Technical Report.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models GPT-4 Technical Report

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Program Synthesis with Large Language Models

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This paper cites Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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This paper cites Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts

Reference 7

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This paper cites Evaluating Large Language Models Trained on Code.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Evaluating Large Language Models Trained on Code

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This paper cites From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

Reference 10

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This paper cites Training Verifiers to Solve Math Word Problems.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Training Verifiers to Solve Math Word Problems

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This paper cites Knowledge Neurons in Pretrained Transformers.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Knowledge Neurons in Pretrained Transformers

Reference 12

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This paper cites Editing Factual Knowledge in Language Models.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Editing Factual Knowledge in Language Models

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 17

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

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Transformer Feed-Forward Layers Are Key-Value Memories

Reference 18

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Measuring Mathematical Problem Solving With the MATH Dataset

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This paper cites Distilling the Knowledge in a Neural Network.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Distilling the Knowledge in a Neural Network

Reference 21

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

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Editing Models with Task Arithmetic

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Dataless Knowledge Fusion by Merging Weights of Language Models

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Gonzalez, Hao Zhang, and Ion Stoica

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models On the Sentence Embeddings from Pre-trained Language Models

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models From Instance Training to Instruction Learning: Task Adapters Generation from Instructions

Reference 30

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Tuning Language Models by Proxy

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models WizardCoder: Empowering Code Large Language Models with Evol-Instruct

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Mass-Editing Memory in a Transformer

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Fast Model Editing at Scale

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models What does the Knowledge Neuron Thesis Have to do with Knowledge?

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Code Llama: Open Foundation Models for Code

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models LLaMA: Open and Efficient Foundation Language Models

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Observation 88778555-4e89-4b6e-886e-9a4def622c86 · outbound

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

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Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Cross-model Control: Improving Multiple Large Language Models in One-time Training

Reference 58

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6ae9694-c0b6-4ba5-9f26-c3a46b45025b · outbound

This paper cites an unresolved cited work.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:01.550624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19974097-64d0-4004-a443-724e7ee5e263 · outbound

This paper cites an unresolved cited work.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:38:03.247908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c61262d-8def-4504-aef7-4ed9930aec1d · outbound

This paper cites an unresolved cited work.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:01.678046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb00fd55-8b29-483c-9546-25b9eb6f24ab · outbound

This paper cites Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:01.790565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67dfe6d-4c11-48aa-8f3a-7219f624b243 · outbound

This paper cites online" 'onlinestring :=.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models online" 'onlinestring :=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:01.897512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49803d6d-c042-43d3-b6b1-a23c4567fd8f · outbound

This paper cites write newline.

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models write newline

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:01.985865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers