Paper Citation Record · LEDGER

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors

As of 21 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 4 inbound Pith citation observations for arXiv:2506.14794.

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

pith.paper-citation-record.v1
2506.14794 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:05:09.683644Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T05:39:01.180338Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:38:55.794252Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f60fb9b-3796-4f98-9d42-c5967f9f8ab7 · outbound

This paper cites Model soups: Averaging weights of multiple fine-tuned models improves accuracy without increasing inference time.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Model soups: Averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Reference 1

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Observation 0ee0c404-947e-4f69-9003-0d11eeaf288f · outbound

This paper cites TIES-merging: Resolving interference when merging models.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors TIES-merging: Resolving interference when merging models

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:12.596938Z

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Observation 8c2df37d-ee34-41b2-869c-5eee29d09f31 · outbound

This paper cites Animating rotation with quaternion curves.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Animating rotation with quaternion curves

Reference 3

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Observation bdc5e4a2-eb64-405d-a7ef-bdbab5c88fbe · outbound

This paper cites Model breadcrumbs: Scaling multi-task model merg- ing with sparse masks.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Model breadcrumbs: Scaling multi-task model merg- ing with sparse masks

Reference 4

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Observation 9ad7a3f0-9c6c-4e5c-b336-597b607eb58e · outbound

This paper cites Language models are Super Mario: Absorbing abilities from homologous models as a free lunch.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Language models are Super Mario: Absorbing abilities from homologous models as a free lunch

Reference 5

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Observation cfa0edd7-59d2-4a89-b46f-cd83503013e0 · outbound

This paper cites Model fusion via optimal transport.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Model fusion via optimal transport

Reference 6

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Observation d012a045-7165-4c00-b2d0-f5c5be26f718 · outbound

This paper cites Transformer Fusion with Optimal Transport.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Transformer Fusion with Optimal Transport

Reference 7

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Observation f036cf60-340d-458b-9124-4054a815dcbf · outbound

This paper cites Evolutionary optimization of model merging recipes.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Evolutionary optimization of model merging recipes

Reference 8

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Observation b391c331-76fb-4f1a-b7e5-7438c6b35cfa · outbound

This paper cites Command A: An Enterprise-Ready Large Language Model.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Command A: An Enterprise-Ready Large Language Model

Reference 9

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Source-reported events for the cited work

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Observation 0a77a879-0dde-420d-9266-8813b5df5ba9 · outbound

This paper cites Unlocking efficient long-to-short LLM reasoning with model merging.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Unlocking efficient long-to-short LLM reasoning with model merging

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:11.847174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50aa11de-1865-4a83-8102-d271751ccdf5 · outbound

This paper cites DeepSeek R1T Chimera.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeek R1T Chimera

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:11.744566Z

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Observation a4f00381-38cf-4db2-9c56-a35fb6aca131 · outbound

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Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation e7cbebdf-116b-48d3-8bee-71013138d6a3 · outbound

This paper cites Learning to reason with LLMs.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Learning to reason with LLMs

Reference 13

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Observation e2722e4f-a12e-4490-acdc-a1180d94d83a · outbound

This paper cites DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeek-R1: Incentivizing reasoning capability in LLMs via reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:11.362914Z

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Observation 9008f3e3-2b23-4141-856f-860074c0f2f0 · outbound

This paper cites Gemini 2.5: Our most intelligent AI model.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Gemini 2.5: Our most intelligent AI model

Reference 15

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Source-reported events for the cited work

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Observation c30d0e6c-36b8-4395-96c2-641e88b7c491 · outbound

This paper cites Qwen3 Technical Report.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Qwen3 Technical Report

Reference 16

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Source-reported events for the cited work

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Observation d6cc3957-3e8b-45c0-8449-ded0833181d5 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 17

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Source-reported events for the cited work

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Observation f5929afe-c3ea-498d-9144-067571548b61 · outbound

This paper cites Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:09.469762Z

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Observation d69d9467-76b6-4fd4-b0ca-affd6b5abb56 · outbound

This paper cites Token-Budget-Aware LLM Reasoning.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Token-Budget-Aware LLM Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:09.476176Z

Source-reported events for the cited work

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Observation 698e1ad0-1e98-43e3-bae3-ac20252e9bc0 · outbound

This paper cites Reward-guided speculative decoding for efficient LLM reasoning.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Reward-guided speculative decoding for efficient LLM reasoning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:11.045377Z

Source-reported events for the cited work

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Observation 81d1dec5-e0e8-4e79-9716-074206c32ab8 · outbound

This paper cites Training language models to reason efficiently.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Training language models to reason efficiently

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.873996Z

Source-reported events for the cited work

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Observation f6ce1610-7a08-4ddc-a7a8-bfe1990b8d34 · outbound

This paper cites C3oT: Generating shorter Chain-of-Thought without compromising effectiveness.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors C3oT: Generating shorter Chain-of-Thought without compromising effectiveness

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.677598Z

Source-reported events for the cited work

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Observation 11502696-71a4-4c7c-9ffd-d832e8056088 · outbound

This paper cites Can Language Models Learn to Skip Steps?.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Can Language Models Learn to Skip Steps?

Reference 23

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Observation 8747041b-1000-4eb6-8823-63b530df5efb · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 24

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Observation f07bf61d-8001-44f4-8fb5-dc504ecf61b3 · outbound

This paper cites Merge to Mix: Mixing Datasets via Model Merging.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Merge to Mix: Mixing Datasets via Model Merging

Reference 25

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Observation eaa22c83-71e7-4ffa-a539-cb25b4ddc1af · outbound

This paper cites Editing Models with Task Arithmetic.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Editing Models with Task Arithmetic

Reference 26

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Source-reported events for the cited work

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Observation 19261a43-7196-4658-9eb9-906ab5352fd5 · outbound

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

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 27

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Observation 10eb9f43-f979-42b6-92f7-431cb891d513 · outbound

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

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:09.544980Z

Source-reported events for the cited work

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Observation dc4a598a-027d-4742-b69d-b9c2bdf55b2f · outbound

This paper cites Unconstrained model merging for enhanced LLM reasoning.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Unconstrained model merging for enhanced LLM reasoning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.626038Z

Source-reported events for the cited work

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Observation 249ffc4c-a126-4cd1-a807-7fe1b1ad2ca0 · outbound

This paper cites Deep Model Fusion: A Survey.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Deep Model Fusion: A Survey

Reference 30

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Observation e65e0535-672f-46c7-87d1-6788f07afd4f · outbound

This paper cites Mixtral of Experts.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Mixtral of Experts

Reference 31

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Observation 7804fd88-ecc1-4a5a-b2f5-cc13ea16f3d3 · outbound

This paper cites DeepSeek-V3 Technical Report.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeek-V3 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:09.584090Z

Source-reported events for the cited work

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Observation fd1fcbe6-e8dd-4c86-95ba-6c3e71944284 · outbound

This paper cites Adaptive mixtures of local experts.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Adaptive mixtures of local experts

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.576567Z

Source-reported events for the cited work

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Observation 24cd8361-ac23-46a9-8379-7b561fd28e6f · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 34

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This paper cites DeepSeek-V2: A strong, economical, and efficient Mixture-of-Experts language model.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeek-V2: A strong, economical, and efficient Mixture-of-Experts language model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.532099Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 303c88a8-602f-41ec-bdc7-141d3302085c · outbound

This paper cites DeepSeek-V3-0324.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeek-V3-0324

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.505123Z

Source-reported events for the cited work

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Observation 6bcd8ab5-1d6d-4e7c-a914-6fff81596465 · outbound

This paper cites DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decomposition

Reference 37

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Observation 6a11abc8-16d0-4c46-bdd2-e00e1c7d9ca0 · outbound

This paper cites The Lean 4 theorem prover and programming language.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors The Lean 4 theorem prover and programming language

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.463240Z

Source-reported events for the cited work

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Observation 7b8cb65d-0183-4c93-994d-35e44dd2715f · outbound

This paper cites deepseek-ai/DeepSeek-R1-0528.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors deepseek-ai/DeepSeek-R1-0528

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.436948Z

Source-reported events for the cited work

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Observation fae646a9-fef6-4c2f-b057-d1cf8eabf128 · outbound

This paper cites PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Trans- formation and Graph Compilation.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Trans- formation and Graph Compilation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:09.648782Z

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Observation 7b99d0fe-5fe3-45aa-acb1-ec3826bd943c · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with Page- dAttention.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Efficient Memory Management for Large Language Model Serving with Page- dAttention

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.408905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15b5ba85-9803-468a-82c0-bfc000f34a0f · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.388155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55ec80f8-d43a-4207-85c2-d7285e211605 · outbound

This paper cites American Invitational Mathematics Examination - AIME 2024.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors American Invitational Mathematics Examination - AIME 2024

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:05:10.366339Z

Source-reported events for the cited work

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Observation b0915101-5dd3-4fc9-8062-b9d3436b01c1 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 44

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Pith citing papers

Observation 688c0079-b298-48bb-b226-c1c74c239799 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors

Reference 79

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Observation 655df4ed-ef85-4604-b96b-24df9fb0dc34 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors

Reference 223

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Observation 959cd4fe-d3ad-4931-b7fb-64d68181ff65 · inbound

IsabeLLM: Automated Theorem Proving Applied to Formally Verifying Consensus cites this paper.

IsabeLLM: Automated Theorem Proving Applied to Formally Verifying Consensus Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:38:55.795889Z

Source-reported events for the cited work

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Observation f6f7e6b1-c925-4e36-b407-6f7fc0cf6e4d · inbound

Benchmarking Large Language Models on Floating-Point Error Classification cites this paper.

Benchmarking Large Language Models on Floating-Point Error Classification Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:15:44.894468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.