Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:31:52.180741Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2601.22876.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T06:31:52.180741Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
17 of 17 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c6e8d3b4-a0ac-4361-a50b-a79f9bd82678 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Unresolved cited work
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04a79087-3cac-49d8-a9dc-25c235fe0757 · outbound
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9720fcbe-69ec-413d-941e-964a2e69909d · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Energy-efficient and dequantization-free Q-LLMs: A spiking neural network approach to salient value mitiga- tion.arXiv preprint arXiv:2510.19498,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3fd3027-57e4-46f2-80f8-f6fa73394adf · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers 9 Preprint Xiao, G., Lin, J., Seznec, M., Wu, H., Demouth, J., and Han, S
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1a414ee-27c9-4207-ada8-1ae23946a7bd · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac193145-8566-4185-b2d8-0fe8f92c50d4 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f82d5780-1d61-42ac-8ce4-c653ad5ffc03 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Otters: An energy-efficient spik- ingtransformer via optical time-to-first-spike encoding
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16d656b5-3134-4315-8fbc-47c5abe3bbb1 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Zhang, W., Hou, L., Yin, Y ., Shang, L., Chen, X., Jiang, X., and Liu, Q
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72a01d39-4dbb-4151-ab3d-8d92302dfadc · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Spikingformer: Spike-driven residual learn- ing for transformer-based spiking neural network.arXiv preprint arXiv:2304.11954,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3388eff1-adba-4e8a-a2be-3c9acc863c67 · outbound
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ad9af0c-bfee-45ef-a20e-38f0e88fb9b3 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Unresolved cited work
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c4c21e6-7f0f-4575-ac54-55ac67ac7aa2 · outbound
Reference 2018
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84117d03-8934-43ce-a819-1c33d6a7151f · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Tinybert: Distilling bert for natural language understanding
Reference 2019
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ae8cb57-e42c-4f58-bd58-76686cd13c53 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e964cafc-635b-41b0-a5ec-54f12d6f5967 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Davies, M., Srinivasa, N., Lin, T.-H., Chinya, G., Cao, Y ., Choday, S
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fb342f4-8856-4e58-88e4-7435f6708c05 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers 1016/j.nanoen.2024.109646
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 281d8d71-cf09-49a6-b9bf-ac0d1dfbd075 · outbound
Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.