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Paper Citation Record · LEDGER

Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers

As of 20 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.

pith.paper-citation-record.v1
2601.22876 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:31:52.180741Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

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  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6e8d3b4-a0ac-4361-a50b-a79f9bd82678 · outbound

This paper cites an unresolved cited work.

Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 04a79087-3cac-49d8-a9dc-25c235fe0757 · outbound

This paper cites 10067540.

Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers 10067540

Reference 7

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Observation 9720fcbe-69ec-413d-941e-964a2e69909d · outbound

This paper cites Energy-efficient and dequantization-free Q-LLMs: A spiking neural network approach to salient value mitiga- tion.arXiv preprint arXiv:2510.19498,.

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

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Observation f3fd3027-57e4-46f2-80f8-f6fa73394adf · outbound

This paper cites 9 Preprint Xiao, G., Lin, J., Seznec, M., Wu, H., Demouth, J., and Han, S.

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

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Unavailable: canonical work link unavailable.

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Observation e1a414ee-27c9-4207-ada8-1ae23946a7bd · outbound

This paper cites SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking.

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

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Observation ac193145-8566-4185-b2d8-0fe8f92c50d4 · outbound

This paper cites Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives.

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

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Unavailable: canonical work link unavailable.

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Observation f82d5780-1d61-42ac-8ce4-c653ad5ffc03 · outbound

This paper cites Otters: An energy-efficient spik- ingtransformer via optical time-to-first-spike encoding.

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

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source=pdf_text observed=2026-08-03T06:31:51.899468Z digest=sha256:5e55a16cb369fe7a444ca05cbd116352f3dc02be63f5f621c2600d34d9019b99

Observation 16d656b5-3134-4315-8fbc-47c5abe3bbb1 · outbound

This paper cites Zhang, W., Hou, L., Yin, Y ., Shang, L., Chen, X., Jiang, X., and Liu, Q.

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

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Observation 72a01d39-4dbb-4151-ab3d-8d92302dfadc · outbound

This paper cites Spikingformer: Spike-driven residual learn- ing for transformer-based spiking neural network.arXiv preprint arXiv:2304.11954,.

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

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Observation 3388eff1-adba-4e8a-a2be-3c9acc863c67 · outbound

This paper cites 2024.3483632.

Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers 2024.3483632

Reference 16

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Observation 6ad9af0c-bfee-45ef-a20e-38f0e88fb9b3 · outbound

This paper cites an unresolved cited work.

Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers Unresolved cited work

Reference 17

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Observation 6c4c21e6-7f0f-4575-ac54-55ac67ac7aa2 · outbound

This paper cites 112130359.

Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers 112130359

Reference 2018

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Observation 84117d03-8934-43ce-a819-1c33d6a7151f · outbound

This paper cites Tinybert: Distilling bert for natural language understanding.

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

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Observation 6ae8cb57-e42c-4f58-bd58-76686cd13c53 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

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

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Observation e964cafc-635b-41b0-a5ec-54f12d6f5967 · outbound

This paper cites Davies, M., Srinivasa, N., Lin, T.-H., Chinya, G., Cao, Y ., Choday, S.

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

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Observation 0fb342f4-8856-4e58-88e4-7435f6708c05 · outbound

This paper cites 1016/j.nanoen.2024.109646.

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

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Observation 281d8d71-cf09-49a6-b9bf-ac0d1dfbd075 · outbound

This paper cites Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch.

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

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Pith citing papers

No inbound Pith citation observations are available.