Paper Citation Record · LEDGER

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

As of 20 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 18 inbound Pith citation observations for arXiv:2507.22448.

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

pith.paper-citation-record.v1
2507.22448 v1

Coverage vector

measured 100 of 123 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:44:05.162957Z

measured 118 of 118 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:46:37.290952Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:46:26.624174Z

Reference resolution

100 of 123 outbound references displayed

verified exact2
verified fuzzy0
unresolved98
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f81a9a1-1676-4e54-901d-d3c7eee9c42a · outbound

This paper cites write newline.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance write newline

Reference 1

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Observation 787993db-06c3-4a91-9758-6f50e2438e57 · outbound

This paper cites https://www.statmt.org/europarl/.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance https://www.statmt.org/europarl/

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.606975Z

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Observation 8a3a9768-82db-4bd1-9349-8040f2221bfc · outbound

This paper cites https://www.gutenberg.org/.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance https://www.gutenberg.org/

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.677129Z

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Observation 07803083-faf7-4896-9dcc-a03b8ae48083 · outbound

This paper cites https://github.com/zeerakahmed/makhzan/.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance https://github.com/zeerakahmed/makhzan/

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.793814Z

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Observation ea756849-0f6d-4db2-946f-049bbe8e8fdb · outbound

This paper cites AIME problems and solutions, 2025.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance AIME problems and solutions, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.822822Z

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Observation bd3c80af-0051-43b2-bec3-13531e1e6a4b · outbound

This paper cites GQA : Training generalized multi-query transformer models from multi-head checkpoints.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance GQA : Training generalized multi-query transformer models from multi-head checkpoints

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.831020Z

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Observation 06b68635-1547-49b0-8fe4-e013a0df1ce5 · outbound

This paper cites M ath QA : Towards interpretable math word problem solving with operation-based formalisms.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance M ath QA : Towards interpretable math word problem solving with operation-based formalisms

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.835598Z

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Observation 45981a6b-3ee7-4475-b4df-02ec2a67a340 · outbound

This paper cites Program Synthesis with Large Language Models.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Program Synthesis with Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.839405Z

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Observation 8e3c9258-662a-477c-938a-ab173b749ebe · outbound

This paper cites Llemma: An Open Language Model For Mathematics.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Llemma: An Open Language Model For Mathematics

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.843213Z

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Observation d4ecc412-daae-4138-8cbb-188cac617ada · outbound

This paper cites MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.847321Z

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Observation 923fb2ac-2821-4365-bf8c-488e325ad290 · outbound

This paper cites Titans: Learning to Memorize at Test Time.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Titans: Learning to Memorize at Test Time

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.851523Z

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Observation a309cf25-b72f-439d-b055-ff719114e253 · outbound

This paper cites Smollm-corpus, 7 2024.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Smollm-corpus, 7 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.855073Z

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Observation f873f7a5-efc8-482e-9fb3-6c593a689fe7 · outbound

This paper cites Scaling optimal LR across token horizons.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Scaling optimal LR across token horizons

Reference 13

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Observation 04e9b964-08d9-4122-8b3f-c58fab1b748f · outbound

This paper cites Ntk-aware scaled rope allows llama models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation, 2023 a.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Ntk-aware scaled rope allows llama models to have extended (8k+) context size without any fine-tuning and minimal perplexity degradation, 2023 a

Reference 14

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Observation 04828cd5-b657-4183-b313-66031bb474b5 · outbound

This paper cites by parts.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance by parts

Reference 15

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Observation 5b43db33-faff-4cf6-95fc-94e02262e82f · outbound

This paper cites Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.869255Z

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Observation 2a62b25e-3a83-44fe-9c12-9590fa7da06e · outbound

This paper cites On the resemblance and containment of documents.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance On the resemblance and containment of documents

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.872685Z

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Observation 2270f3ec-43c5-44bb-b78c-17532c6ab9f2 · outbound

This paper cites An investigation of incorporating mamba for speech enhancement.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance An investigation of incorporating mamba for speech enhancement

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.875843Z

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Observation fea037c4-e0f2-44f6-83db-7d76371b6564 · outbound

This paper cites Theoretical limitations of multi-layer Transformer.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Theoretical limitations of multi-layer Transformer

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.879218Z

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Observation 7b7cd417-8c87-453a-a002-534e7b9890dd · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Unresolved cited work

Reference 20

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Observation d9aa81a8-71d8-45f0-9c3e-4771ccd6b90f · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Extending Context Window of Large Language Models via Positional Interpolation

Reference 21

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Observation 82a5db4f-5956-4d28-96fa-8824cf701442 · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance PaLM: Scaling Language Modeling with Pathways

Reference 22

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Observation c5229a37-a067-42cd-97d4-824e9c69e947 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.894015Z

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Observation bcc88519-03eb-4b46-9d09-b2208b9b5970 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Training Verifiers to Solve Math Word Problems

Reference 25

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Observation 1e6d29a9-05b3-485b-b806-b2725688dee6 · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Okapi: Instruction-tuned large language models in multiple languages with reinforcement learning from human feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:04.905202Z

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Observation 1bd4b413-912d-420b-8d04-8d07217651d4 · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Unsloth, 2023

Reference 27

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Observation f00624e6-5037-4f1b-86ad-17bdf18035b1 · outbound

This paper cites we also choose similar dimensions as modern Transformers, e.g. P =64 or P =128.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance we also choose similar dimensions as modern Transformers, e.g. P =64 or P =128

Reference 28

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Flash A ttention-2: Faster attention with better parallelism and work partitioning

Reference 29

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 30

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Observation 157ac2de-34fe-40db-a501-72fb3e3c2c39 · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance causal-conv1d: Causal depthwise conv1d in cuda with a pytorch interface

Reference 31

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Observation 1391d620-ee6f-4a0c-9b19-b0c38e309ee1 · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 32

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

Reference 33

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Don't be lazy: Completep enables compute-efficient deep transformers, 2025

Reference 34

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Hymba: A Hybrid-head Architecture for Small Language Models

Reference 35

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance The language model evaluation harness, 07 2024

Reference 36

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance A curated research corpus for agricultural advisory ai applications, 2024

Reference 37

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Zamba: A Compact 7B SSM Hybrid Model

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance The Llama 3 Herd of Models

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning

Reference 43

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Simplifying transformer blocks

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Measuring Massive Multitask Language Understanding

Reference 45

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Measuring Mathematical Problem Solving With the MATH Dataset

Reference 47

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Clarification on how to interpret kernel size for conv1d (\#523)

Reference 48

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 49

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance YuLan-Mini: An Open Data-efficient Language Model

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Qwen2.5-Coder Technical Report

Reference 53

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Teknium"

Reference 54

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Mistral 7B

Reference 56

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Gonzalez, Hao Zhang, and Ion Stoica

Reference 57

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Math-Verify: Math Verification Library

Reference 58

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 59

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This paper cites Hashimoto.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Hashimoto

Reference 60

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Jamba: A Hybrid Transformer-Mamba Language Model

Reference 61

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This paper cites Let's Verify Step by Step.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Let's Verify Step by Step

Reference 62

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 63

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 64

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This paper cites DeepSeek-V3 Technical Report.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance DeepSeek-V3 Technical Report

Reference 65

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This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 66

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Observation cff6b3fb-6a55-4bcd-94d8-8c1b63903a09 · outbound

This paper cites Is your code generated by chat GPT really correct? rigorous evaluation of large language models for code generation.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Is your code generated by chat GPT really correct? rigorous evaluation of large language models for code generation

Reference 67

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Observation 0b2cedc9-0998-4925-83ba-95eb4ff1793a · outbound

This paper cites FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models

Reference 68

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Observation 45e7d6d2-774f-4515-9039-37326b740c80 · outbound

This paper cites VMamba: Visual State Space Model.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance VMamba: Visual State Space Model

Reference 69

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Observation db1ac445-930a-4684-bbd8-88b298153cf6 · outbound

This paper cites LLM360: Towards Fully Transparent Open-Source LLMs.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance LLM360: Towards Fully Transparent Open-Source LLMs

Reference 70

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Observation 2831f5a5-a1e4-45f5-803c-555773a4587d · outbound

This paper cites AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.055041Z

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Observation b88f9cc7-7416-4d8d-b8e8-91e37a2868d3 · outbound

This paper cites Neural Thermodynamic Laws for Large Language Model Training.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Neural Thermodynamic Laws for Large Language Model Training

Reference 72

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Observation 40fde3dc-73f3-4bf5-9b93-b0b98a2a431c · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance StarCoder 2 and The Stack v2: The Next Generation

Reference 73

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This paper cites Finefineweb: A comprehensive study on fine-grained domain web corpus, December 2024.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Finefineweb: A comprehensive study on fine-grained domain web corpus, December 2024

Reference 74

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This paper cites Falcon2-11B Technical Report.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Falcon2-11B Technical Report

Reference 75

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This paper cites On the SDE s and scaling rules for adaptive gradient algorithms.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance On the SDE s and scaling rules for adaptive gradient algorithms

Reference 76

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Observation 8c31e340-b16d-4dd4-b068-15b4ee7a6e5d · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Peft: State-of-the-art parameter-efficient fine-tuning methods

Reference 77

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Observation ed2b363a-ac4b-4071-95f6-97eae5fb1bbc · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Characterizing state space model (ssm) and ssm-transformer hybrid language model performance with long context length

Reference 78

Resolution: verified exact; doi, observed 2026-08-06T11:44:05.348325Z

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Observation a30eb55a-7539-45c5-be7e-bccbcc2c6261 · outbound

This paper cites Gptqmodel.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Gptqmodel

Reference 79

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Observation fb7f6932-7122-4815-8adb-464c7b092de9 · outbound

This paper cites Oumi: an Open, End-to-end Platform for Building Large Foundation Models.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Oumi: an Open, End-to-end Platform for Building Large Foundation Models

Reference 80

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Observation d36d9ee2-e91b-4eb7-85c4-9bd8479c654c · outbound

This paper cites Training language models to follow instructions with human feedback.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Training language models to follow instructions with human feedback

Reference 81

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Observation e41e80a7-9063-4176-bbee-9d575dc0f2fa · outbound

This paper cites OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Reference 82

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Observation c51db2a0-4b10-4fc2-8c76-e60b3f0a74db · outbound

This paper cites Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.094528Z

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Observation c8b09cda-0096-4a24-ba43-7a0e6b81e328 · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 84

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Observation 3ee2a1ea-c56f-4a81-8837-99ad2a41e8ec · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 85

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Observation fa35d1c4-b80f-4b2a-8389-9444c428bcb2 · outbound

This paper cites Fineweb2: A sparkling update with 1000s of languages, 12 2024 b.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Fineweb2: A sparkling update with 1000s of languages, 12 2024 b

Reference 86

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Observation bda3d50e-9dc8-42be-85d5-2a7da09f17c0 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance RWKV: Reinventing RNNs for the Transformer Era

Reference 87

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Observation e01bc0f2-1fd3-4b6b-b4e3-f924a2f083cb · outbound

This paper cites Evalchemy , 6 2025.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Evalchemy , 6 2025

Reference 88

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Observation 777610d2-4d3d-4562-a9c8-911ec6890b5e · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.114869Z

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Observation 393867cb-602c-4308-bba1-113d0c510b64 · outbound

This paper cites Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.118331Z

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Observation 422be3ea-4046-47a7-a9ff-428f7ff8a7db · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Winogrande: An adversarial winograd schema challenge at scale

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.121691Z

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Observation 956151ee-d073-4565-a981-b1e217ec2aca · outbound

This paper cites Analysing mathematical reasoning abilities of neural models.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Analysing mathematical reasoning abilities of neural models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.124645Z

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Observation 3628a4b7-7c89-44b7-9eca-a15340f7c846 · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Neural Machine Translation of Rare Words with Subword Units

Reference 93

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Observation ec2cd26a-f6b6-43d5-984b-ed53622262a9 · outbound

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

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.130974Z

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Observation 0716ce06-0ba2-4ab1-9c3d-1ae8f576fd1f · outbound

This paper cites Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.134546Z

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Observation ba6ed58d-d837-4a17-8923-0b9b59c9016d · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Language Models are Multilingual Chain-of-Thought Reasoners

Reference 96

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Observation a3304daf-b9de-49a4-9691-3c7c562a0ade · outbound

This paper cites Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs

Reference 97

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Observation 1141e35b-26e3-42e9-a0df-5200cd6e93fb · outbound

This paper cites Learning long sequences in spiking neural networks.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Learning long sequences in spiking neural networks

Reference 98

Resolution: verified exact; doi, observed 2026-08-06T11:44:05.272456Z

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Observation e5ef4d0e-37f8-4d08-be1a-0cac25f6b8e1 · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining Dataset

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:05.149322Z

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Observation d4d23035-cd8a-407e-9ca3-fd4b89f1c9d1 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 100

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This paper cites Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies

Reference 101

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Observation d187b681-39aa-4295-ba20-317f44cfdbb6 · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance The falcon 3 family of open models, December 2024

Reference 102

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Observation 8978e1ff-d78c-423b-87e2-f5b82d67a399 · outbound

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Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance Gemma 3 Technical Report

Reference 103

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Pith citing papers

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SpikingBrain: Spiking Brain-inspired Large Models cites this paper.

SpikingBrain: Spiking Brain-inspired Large Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 45

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Observation aef477d0-1c57-42a5-a152-02b5b177e2b9 · inbound

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA cites this paper.

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 35

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Observation d605d63f-c9ad-4dfc-ba12-a6fefa308afa · inbound

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Kimi Linear: An Expressive, Efficient Attention Architecture Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 129

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Observation 73d6e007-626c-440c-acd8-ba40846cb89f · inbound

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DiffuMamba: High-Throughput Diffusion LMs with Mamba Backbone Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 37

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Observation b36332b5-c734-4800-9644-ca9698e276f0 · inbound

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When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 11

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S0 Tuning: Zero-Overhead Adaptation of Hybrid Recurrent-Attention Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 4

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Observation 4dcf20f3-d19c-4764-ad29-598907d510cb · inbound

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Super Apriel: One Checkpoint, Many Speeds Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 72

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Observation dbf90b1d-db8e-40bc-ad1d-7030b0754a37 · inbound

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SpikingBrain2.0: Brain-Inspired Foundation Models for Efficient Long-Context and Cross-Platform Inference Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 41

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Observation 509c05d9-b8bf-4656-803c-e219c63b6005 · inbound

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Component-Aware Self-Speculative Decoding in Hybrid Language Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:06:40.648369Z

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Observation 1f426a32-4a49-41d5-af73-67d496314406 · inbound

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity cites this paper.

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:41:11.065650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22d69211-ca82-44fe-a18e-d700c1bd060d · inbound

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models cites this paper.

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:03:20.524249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c32fa78-ac57-4f48-8389-41d785d5e3a1 · inbound

Forget Attention: Importance-Aware Attention Is All You Need cites this paper.

Forget Attention: Importance-Aware Attention Is All You Need Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:06:21.045608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1008ae7b-3e77-4e5b-9f84-1fcfff013c6e · inbound

MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency cites this paper.

MOSAIC: Efficient Mixture-of-Agent Scheduling via Adaptive Aggregation and Inference Concurrency Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:46:26.630023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e091ae8-936e-4da1-9189-ce5823b5a42a · inbound

Morphing into Hybrid Attention Models cites this paper.

Morphing into Hybrid Attention Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:44:28.064214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dff1143d-d849-420a-9631-c9316323ac43 · inbound

Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training cites this paper.

Train Smarter, Not Longer: Memorization-Guided Data Reuse for Efficient LLM Training Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T10:45:46.618668Z

Source-reported events for the cited work

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Observation 371f08b4-78ee-45ea-9589-85c464010d0c · inbound

Memory for Large Language Models cites this paper.

Memory for Large Language Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-01T02:37:54.548638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ad4e1c-28de-438b-88fe-d1b6f1ef4a65 · inbound

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models cites this paper.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T00:51:15.651274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf796e2-675f-4d36-b664-e6d9a6f43f49 · inbound

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models cites this paper.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T04:46:37.290952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.