AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up | Paper Citation Record

Observation a4bacbb4-930f-450d-9384-b543478c0bb9 · outbound

This paper cites FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awareness.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up FlashAttention on a Napkin: A Diagrammatic Approach to Deep Learning IO-Awareness

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:35:34.535496Z

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Observation e717ffb5-b9d8-477e-9f32-5da05501b9b2 · outbound

This paper cites A., Goldstein, D.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A., Goldstein, D

Reference 2

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Observation 705c6ae9-44b7-4e00-b155-e205bfc9b69e · outbound

This paper cites Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead

Reference 3

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Observation d888a5bc-173e-4cac-98e9-514556a83858 · outbound

This paper cites Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 4

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AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Unresolved cited work

Reference 5

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Observation 1f7acff9-cd17-4e12-b317-b384025f2562 · outbound

This paper cites INT-FlashAttention: Enabling Flash Attention for INT8 Quantization.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up INT-FlashAttention: Enabling Flash Attention for INT8 Quantization

Reference 6

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Observation e9b0dfb2-a01e-4b78-a5d5-c18e58551f5a · outbound

This paper cites LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.372367Z

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Observation 255016c4-5d8c-4921-934f-659350c73366 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 8

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Observation 60e3fa44-b85e-4df7-93bc-c7e90bff523d · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.553938Z

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Observation 976ef2c4-e5e3-43ec-a6bd-af7401e5c566 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Qlora: Efficient finetuning of quantized llms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.629325Z

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Observation ffa5f494-7192-4c1b-be11-d809b2e676b0 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.773120Z

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Observation 95399fe2-9958-48b3-81f7-48399dedba3f · outbound

This paper cites Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.878891Z

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Observation b426954e-e551-4e8c-bb54-66d341b6a0d0 · outbound

This paper cites Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:35:33.972984Z

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Observation bbd20854-87d2-44af-9bf8-318f299ace95 · outbound

This paper cites An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up An Agentic Approach to Automatic Creation of P&ID Diagrams from Natural Language Descriptions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.036284Z

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Observation 24d8fb79-383a-4d2a-88aa-ee296b003dce · outbound

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

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.138716Z

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Observation 5bc667be-7af6-43f2-8d3f-f2b5093c8ec4 · outbound

This paper cites Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Saturn: Sample-efficient Generative Molecular Design using Memory Manipulation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.244503Z

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Observation 31437aac-2a3d-456d-9f8f-39960b61ff55 · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.359712Z

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Observation 32e5f959-0378-497f-8483-ef837721d2fa · outbound

This paper cites G-retriever: Retrieval-augmented generation for textual graph understanding and question answering.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up G-retriever: Retrieval-augmented generation for textual graph understanding and question answering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.438724Z

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Observation 56e5f62b-5e85-4eb7-8b26-657f6bcb62d6 · outbound

This paper cites Toward automatic generation of control structures for process flow diagrams with large language models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Toward automatic generation of control structures for process flow diagrams with large language models

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:35:33.784922Z

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Observation c82ee19c-357e-40f9-9e2d-86461e8a8daa · outbound

This paper cites Retrointext: A multimodal large language model enhanced framework for retrosynthetic planning via in-context representation learning.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Retrointext: A multimodal large language model enhanced framework for retrosynthetic planning via in-context representation learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:37.310670Z

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Observation 35cb5cdc-b3e8-4788-8bc7-41d82af74bcb · outbound

This paper cites INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.804301Z

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Observation 82759771-3a7d-4ba3-8c66-2d25f3b11cd9 · outbound

This paper cites Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:27.915557Z

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Observation d3d558a8-f38c-4f05-bcc1-046c400b6132 · outbound

This paper cites A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:28.065705Z

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Observation 53e66473-8266-4b3e-8356-3bd0f97887d5 · outbound

This paper cites H., Gonzalez, J., Zhang, H., and Stoica, I.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up H., Gonzalez, J., Zhang, H., and Stoica, I

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:28.220920Z

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Observation 4a9f9166-e000-46ce-b89f-e663b8216b5e · outbound

This paper cites A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:28.325869Z

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Observation 8f8875a9-29eb-49ef-b995-cb6bbef1072c · outbound

This paper cites Cppo: Accelerating the training of group relative policy optimization-based reasoning models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Cppo: Accelerating the training of group relative policy optimization-based reasoning models

Reference 26

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Observation 9eba21a6-bbc2-4aae-bfc5-4b27aa964249 · outbound

This paper cites DeepSeek-V3 Technical Report.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up DeepSeek-V3 Technical Report

Reference 27

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Observation d624e507-dcae-490a-89fc-fbe49fdeb2b7 · outbound

This paper cites MetaScale: Test-Time Scaling with Evolving Meta-Thoughts.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up MetaScale: Test-Time Scaling with Evolving Meta-Thoughts

Reference 28

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Observation 92436c6d-4843-4ee7-bd4e-94f520a26559 · outbound

This paper cites Efficient Inference for Large Reasoning Models: A Survey.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Efficient Inference for Large Reasoning Models: A Survey

Reference 29

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Observation f3ad670e-d356-4b49-91f3-2cf1d0aa6346 · outbound

This paper cites W., and Yang, Y.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up W., and Yang, Y

Reference 30

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Observation e5b0615e-ba43-4bfe-adc9-e302d256909e · outbound

This paper cites Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models

Reference 31

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Observation cdb80368-62fb-4203-9e1c-8f7d0ee8418a · outbound

This paper cites Dwsim: Open source process simulator, 2025.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Dwsim: Open source process simulator, 2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:36.956698Z

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This paper cites text-embedding-3-small model.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up text-embedding-3-small model

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:36.737697Z

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Observation 72fa2498-a6a2-4052-a927-0f89c94c77a9 · outbound

This paper cites A chemically-guided generative diffusion model for materials synthesis planning.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A chemically-guided generative diffusion model for materials synthesis planning

Reference 34

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Observation e187508e-9ad4-4c8d-8242-60c8b694c8f3 · outbound

This paper cites vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention

Reference 35

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Observation 7ffc267b-be9d-44f8-bf7a-2c865a31dcf0 · outbound

This paper cites Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:29.461138Z

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Observation 4ffcb539-a804-4f74-8f51-b90df1c1d30c · outbound

This paper cites A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs

Reference 37

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Observation 3ed4e409-268a-4878-a8a2-f13484d531f0 · outbound

This paper cites KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention Head.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention Head

Reference 38

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Observation 0d8881ff-1e62-45fb-8f32-b50615c737e5 · outbound

This paper cites 2SSP: A Two-Stage Framework for Structured Pruning of LLMs.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up 2SSP: A Two-Stage Framework for Structured Pruning of LLMs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:29.820564Z

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Observation 2ff1aa35-2c75-45d6-ac3a-1ca792bddb02 · outbound

This paper cites Proximal Policy Optimization Algorithms.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Proximal Policy Optimization Algorithms

Reference 40

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AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Unresolved cited work

Reference 41

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Observation 94fedf7d-3d80-450c-bb13-d0015f604452 · outbound

This paper cites Flashattention-3: Fast and accurate attention with asynchrony and low-precision.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Flashattention-3: Fast and accurate attention with asynchrony and low-precision

Reference 42

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Observation b4536e51-15bb-4f6e-9907-54c7df403b9b · outbound

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

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 43

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Observation a0fad02c-07ac-4f7f-b988-023b191dce79 · outbound

This paper cites When to solve, when to verify: Compute-optimal problem solving and generative verification for llm reasoning.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up When to solve, when to verify: Compute-optimal problem solving and generative verification for llm reasoning

Reference 44

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Observation 94f06975-4095-4b07-ad37-14cad0d1f41b · outbound

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

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 45

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Observation 1bb73d9f-80ef-4710-bc27-6a5f9ac290c9 · outbound

This paper cites ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedback

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:30.450795Z

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Observation 5bdb2fcc-956b-4e20-885b-a04b380ef094 · outbound

This paper cites Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design

Reference 47

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Observation f8127382-1fd0-4ac1-93d1-d9ed08ff5de2 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A Simple and Effective Pruning Approach for Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:30.669649Z

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Observation 7f290849-08b4-4290-8309-109077570a42 · outbound

This paper cites The curse of depth in large language models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up The curse of depth in large language models

Reference 49

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Observation 7287e1bf-ca2c-471b-976e-a5f585d31d34 · outbound

This paper cites DarwinLM: Evolutionary Structured Pruning of Large Language Models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up DarwinLM: Evolutionary Structured Pruning of Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:30.868615Z

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Observation e572f765-4eb7-4a0a-9d77-1e91dccd9ae0 · outbound

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AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:35:35.992200Z

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Observation 3b2e50ac-048d-4110-aca7-f4fcf5ca1e52 · outbound

This paper cites A., Waltman, L., and Van Eck, N.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A., Waltman, L., and Van Eck, N

Reference 52

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Observation d30b1468-834c-47a1-931b-b03cb75fdbf9 · outbound

This paper cites S., and Schweidtmann, A.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up S., and Schweidtmann, A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:35.569332Z

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Observation a57b5ed3-3e53-44e0-a797-aa2b649b2744 · outbound

This paper cites Efficient Evolutionary Search Over Chemical Space with Large Language Models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Efficient Evolutionary Search Over Chemical Space with Large Language Models

Reference 54

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This paper cites LLM-BIP: Structured Pruning for Large Language Models with Block-Wise Forward Importance Propagation.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up LLM-BIP: Structured Pruning for Large Language Models with Block-Wise Forward Importance Propagation

Reference 55

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

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Reference 56

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This paper cites Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models

Reference 57

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This paper cites C., Jimenez Rezende, D., Schuurmans, D., Mordatch, I., and Cubuk, E.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up C., Jimenez Rezende, D., Schuurmans, D., Mordatch, I., and Cubuk, E

Reference 58

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This paper cites Towards thinking-optimal scaling of test-time compute for llm reasoning.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Towards thinking-optimal scaling of test-time compute for llm reasoning

Reference 59

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This paper cites Z1: Efficient Test-time Scaling with Code.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Z1: Efficient Test-time Scaling with Code

Reference 60

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This paper cites Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine

Reference 61

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This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:31.894519Z

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This paper cites Lookahead: An inference acceleration framework for large language model with lossless generation accuracy.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Lookahead: An inference acceleration framework for large language model with lossless generation accuracy

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.959661Z

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Observation 1c81f747-fa81-4c9f-8530-53abacc406a5 · outbound

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

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:35:32.531259Z

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Observation 426264f9-8ef0-47c6-bf98-4e29e4b95e56 · outbound

This paper cites A survey on model compression for large language models.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A survey on model compression for large language models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:35:34.690351Z

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This paper cites write newline.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up write newline

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:32.332255Z

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