{"as_of":"2026-08-15T22:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d605988e5ea1c567a30e2aabf55185258c1045cdc4a6db211c77e4246259652a","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T06:31:52.180741Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2601.22876/citation-record","integrity":"/paper/2601.22876/integrity","json":"/paper/2601.22876/citation-record.json","paper":"/paper/2601.22876"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.363858Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.363858Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:65051300ad1ad4918f72aad0925da8ce4f1d7549280092d3a005889f3211858d","observation_id":"c6e8d3b4-a0ac-4361-a50b-a79f9bd82678","resolution":{"observed_at":"2026-08-03T06:31:51.363858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.426058Z","title":"10067540","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.426058Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:a3a19ef1be4ddf4a28d6279090d3fab1803822f7f7d6cc53fc2f17b1142eaca5","observation_id":"04a79087-3cac-49d8-a9dc-25c235fe0757","resolution":{"observed_at":"2026-08-03T06:31:51.426058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.608100Z","title":"Energy-efficient and dequantization-free Q-LLMs: A spiking neural network approach to salient value mitiga- tion.arXiv preprint arXiv:2510.19498,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.608100Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:80550ba11aad051cbc2470ca81f8430ab8fa9fa56e6b7cbe030f8f84c37faacd","observation_id":"9720fcbe-69ec-413d-941e-964a2e69909d","resolution":{"observed_at":"2026-08-03T06:31:51.608100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.669958Z","title":"9 Preprint Xiao, G., Lin, J., Seznec, M., Wu, H., Demouth, J., and Han, S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.669958Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:7c8ae277bde0cb2eba9032f17e17bf7ceea317999faa032cdf402b7404237332","observation_id":"f3fd3027-57e4-46f2-80f8-f6fa73394adf","resolution":{"observed_at":"2026-08-03T06:31:51.669958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04752","last_updated":"2025-04-10T05:50:49Z","snapshot_observed_at":"2026-08-13T21:56:30.324829Z","submitted_at":"2024-07-05T08:37:17Z","title":"SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04752","snapshot_observed_at":"2026-08-03T06:31:51.756697Z","title":"A., Xiao, S., Du, L., Li, G., and Zhang, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.756697Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:1365f3051d0611d1846bc4962db4f254ee5e2e5f633867cf4a29d1aadefe3ff6","observation_id":"e1a414ee-27c9-4207-ada8-1ae23946a7bd","resolution":{"observed_at":"2026-08-03T06:31:51.756697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08290","last_updated":"2026-08-04T13:28:52Z","snapshot_observed_at":"2026-08-15T14:01:07.083702Z","submitted_at":"2024-08-29T07:00:35Z","title":"Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08290","snapshot_observed_at":"2026-08-03T06:31:51.826598Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.826598Z"},"links":{"cited_paper":"/paper/2409.08290","citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:1d06c815ccb3694f3fe3bed3327cbe8446e35b66186be5e7634e09d7a758d7ed","observation_id":"ac193145-8566-4185-b2d8-0fe8f92c50d4","resolution":{"observed_at":"2026-08-03T06:31:51.826598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.899468Z","title":"Otters: An energy-efficient spik- ingtransformer via optical time-to-first-spike encoding","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.899468Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:c5ae412d8330740172bafb3ce1225288806cb307cc0cfdabe70af6d03a282650","observation_id":"f82d5780-1d61-42ac-8ce4-c653ad5ffc03","resolution":{"observed_at":"2026-08-03T06:31:51.899468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.997517Z","title":"Zhang, W., Hou, L., Yin, Y ., Shang, L., Chen, X., Jiang, X., and Liu, Q","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.997517Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:0147abdc82c50c9a3eaf2daf4590fbcbd31f2f766a4643bc44e76fbcdab2dacb","observation_id":"16d656b5-3134-4315-8fbc-47c5abe3bbb1","resolution":{"observed_at":"2026-08-03T06:31:51.997517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:52.065769Z","title":"Spikingformer: Spike-driven residual learn- ing for transformer-based spiking neural network.arXiv preprint arXiv:2304.11954,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:52.065769Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:51d08c7c881efb2eaccc54e0dc4c9488575184e06fb7ad2d9eea093eea9c9393","observation_id":"72a01d39-4dbb-4151-ab3d-8d92302dfadc","resolution":{"observed_at":"2026-08-03T06:31:52.065769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:52.131524Z","title":"2024.3483632","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:52.131524Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:1151d613d7fa58261a88c3382c97880dace4ce9113c0721e58484d3a939d0ade","observation_id":"3388eff1-adba-4e8a-a2be-3c9acc863c67","resolution":{"observed_at":"2026-08-03T06:31:52.131524Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:52.180741Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:52.180741Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:afb651bb169f13a64f7c307242713d5213599d5f3df218f9e593bfac42900ab5","observation_id":"6ad9af0c-bfee-45ef-a20e-38f0e88fb9b3","resolution":{"observed_at":"2026-08-03T06:31:52.180741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.180872Z","title":"112130359","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.180872Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:e4a6c610cc00f9eeba7cb356e5f3b7a3d861163314958f86d0c65eba633e64a1","observation_id":"6c4c21e6-7f0f-4575-ac54-55ac67ac7aa2","resolution":{"observed_at":"2026-08-03T06:31:51.180872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.273151Z","title":"Tinybert: Distilling bert for natural language understanding","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.273151Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:dc45a979f37c72a6a10d47b2f7462668ce37a84e63e6ba72ff14fe3034642e50","observation_id":"84117d03-8934-43ce-a819-1c33d6a7151f","resolution":{"observed_at":"2026-08-03T06:31:51.273151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.01108","last_updated":"2020-03-01T02:57:50Z","snapshot_observed_at":"2026-08-07T19:07:36.327251Z","submitted_at":"2019-10-02T17:56:28Z","title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.01108","snapshot_observed_at":"2026-08-03T06:31:51.539597Z","title":"Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter.arXiv preprint arXiv:1910.01108,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.539597Z"},"links":{"cited_paper":"/paper/1910.01108","citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:63374d0dcc55c3973a483a938c7a38b3267c633550b1a85e8949e668cbcc1598","observation_id":"6ae8cb57-e42c-4f58-bd58-76686cd13c53","resolution":{"observed_at":"2026-08-03T06:31:51.539597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:51.085893Z","title":"Davies, M., Srinivasa, N., Lin, T.-H., Chinya, G., Cao, Y ., Choday, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:51.085893Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:669c6e97aff105981115603e1c9b584163945a5bef92caf5aa22c3e0477df25f","observation_id":"e964cafc-635b-41b0-a5ec-54f12d6f5967","resolution":{"observed_at":"2026-08-03T06:31:51.085893Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T06:31:50.923793Z","title":"1016/j.nanoen.2024.109646","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:50.923793Z"},"links":{"citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:67537e84b8f31cb48fc703784fb555e0325ae7cc3d23230625c4c505d5c1e6d7","observation_id":"0fb342f4-8856-4e58-88e4-7435f6708c05","resolution":{"observed_at":"2026-08-03T06:31:50.923793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.23619","last_updated":"2026-07-24T03:30:31Z","snapshot_observed_at":"2026-08-13T01:08:51.103684Z","submitted_at":"2024-10-31T04:14:47Z","title":"Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.23619","snapshot_observed_at":"2026-08-03T06:31:50.993870Z","title":"Dampfhoffer, M., Mesquida, T., Valentian, A., and Anghel, L","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T06:31:50.993870Z"},"links":{"cited_paper":"/paper/2410.23619","citing_paper":"/paper/2601.22876"},"observation_digest":"sha256:6c32463e7494c58491909174724d42840ebfe1c5923a219e5a47efe1c87a59ef","observation_id":"281d8d71-cf09-49a6-b9bf-ac0d1dfbd075","resolution":{"observed_at":"2026-08-03T06:31:50.993870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.22876","last_updated":"2026-07-31T05:19:34Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T01:37:36.019058Z","submitted_at":"2026-01-30T11:53:42Z","title":"Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking Transformers"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":17},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"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."}