{"as_of":"2026-08-15T23:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:efa050af13d3cfebe6ddd6de7c100ba9bbec03f6fceec380332c40de9870fbbb","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:15:48.010686Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T15:08:32.797977Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"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":"2407.04752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04752","snapshot_observed_at":"2026-07-03T15:08:32.797977Z","title":"Spikellm: Scaling up spiking neural network to large language models via saliency-based spiking","venue":null,"work_id":"61b62258-868e-43c3-ad58-e8190909b51d","year":2024},"citing_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":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-23T21:38:09.146865Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2409.08290"},"observation_digest":"sha256:202ce248b913ed5ce5f1d0ad389e3d7c86a00ccf47f003c81cc8bd8f15a1a7ef","observation_id":"76e59010-5c96-48be-be49-30ba63287a9b","resolution":{"observed_at":"2026-05-23T21:38:27.786528Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"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":"2026-08-11T11:15:48.010686Z","title":"Spikellm: Scaling up spiking neural network to large language models via saliency-based spiking","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15634","last_updated":"2024-12-20T07:50:08Z","snapshot_observed_at":"2026-08-14T21:03:36.251896Z","submitted_at":"2024-12-20T07:50:08Z","title":"Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T11:15:48.010686Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2412.15634"},"observation_digest":"sha256:d502c74bdddf2c3035e3d71cf2c6a8c8d3a2ee6e231d402cdb53654d16ae5e9a","observation_id":"d7a6f292-14bb-49d7-a2c2-7f81a57002d6","resolution":{"observed_at":"2026-08-11T11:15:48.010686Z","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":"2026-08-07T05:07:40.148962Z","title":"SpikeLLM: Scaling up spiking neural network to large language models via saliency-based spiking,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00004","last_updated":"2025-07-10T17:08:40Z","snapshot_observed_at":"2026-08-12T15:42:28.437403Z","submitted_at":"2025-06-10T14:47:48Z","title":"A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search","version":2},"reference_index":158,"source":"pdf_text","source_observed_at":"2026-08-07T05:07:40.148962Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2507.00004"},"observation_digest":"sha256:2446456f39461f0c8b7715352428a6f0c70db0ae611d6176b7352328cbf44bf5","observation_id":"835ed317-e61d-4c36-ae25-bd28ea26c5c1","resolution":{"observed_at":"2026-08-07T05:07:40.148962Z","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":"2407.04752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04752","snapshot_observed_at":"2026-07-03T15:08:32.797977Z","title":"Spikellm: Scaling up spiking neural network to large language models via saliency-based spiking","venue":null,"work_id":"61b62258-868e-43c3-ad58-e8190909b51d","year":2024},"citing_paper":{"arxiv_id":"2510.04595","last_updated":"2026-04-12T08:00:47Z","snapshot_observed_at":"2026-08-14T20:23:58.130176Z","submitted_at":"2025-10-06T08:49:04Z","title":"SpikingMamba: Towards Energy-Efficient Large Language Models via Knowledge Distillation from Mamba","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-18T09:44:53.290259Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2510.04595"},"observation_digest":"sha256:8468925d13f9f7959c8570ca090f4310af49b629ad22f9201f0ccfefcd4c2725","observation_id":"d9f4bb16-75b8-4047-a75b-9ca85bfd065f","resolution":{"observed_at":"2026-05-18T09:46:12.434277Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"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":"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":"2407.04752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04752","snapshot_observed_at":"2026-07-03T15:08:32.797977Z","title":"Spikellm: Scaling up spiking neural network to large language models via saliency-based spiking","venue":null,"work_id":"61b62258-868e-43c3-ad58-e8190909b51d","year":2024},"citing_paper":{"arxiv_id":"2604.11321","last_updated":"2026-04-13T11:23:06Z","snapshot_observed_at":"2026-08-15T03:53:46.307355Z","submitted_at":"2026-04-13T11:23:06Z","title":"Winner-Take-All Spiking Transformer for Language Modeling","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T15:09:41.160765Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2604.11321"},"observation_digest":"sha256:15bef235242149810b6a358bf5d9100a451fc299b33e5594ed1159abb0664b66","observation_id":"fa82caaa-6580-4241-9ea7-aa01f80c4fa5","resolution":{"observed_at":"2026-05-11T11:06:03.713203Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"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":"2407.04752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04752","snapshot_observed_at":"2026-07-03T15:08:32.797977Z","title":"Spikellm: Scaling up spiking neural network to large language models via saliency-based spiking","venue":null,"work_id":"61b62258-868e-43c3-ad58-e8190909b51d","year":2024},"citing_paper":{"arxiv_id":"2604.12365","last_updated":"2026-04-14T06:53:51Z","snapshot_observed_at":"2026-08-13T01:49:51.492083Z","submitted_at":"2026-04-14T06:53:51Z","title":"Adaptive Spiking Neurons for Vision and Language Modeling","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T14:28:41.685107Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2604.12365"},"observation_digest":"sha256:a9056874fe6cd03d12a645e213b86de05d9372ed630958ff1931c6b8a38ed024","observation_id":"f5d5cf6a-3ffb-4d5f-8716-54de18e08e5e","resolution":{"observed_at":"2026-05-10T14:30:30.768619Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"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":"2407.04752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04752","snapshot_observed_at":"2026-07-03T15:08:32.797977Z","title":"Spikellm: Scaling up spiking neural network to large language models via saliency-based spiking","venue":null,"work_id":"61b62258-868e-43c3-ad58-e8190909b51d","year":2024},"citing_paper":{"arxiv_id":"2606.12895","last_updated":"2026-06-11T04:54:07Z","snapshot_observed_at":"2026-08-14T20:29:31.830545Z","submitted_at":"2026-06-11T04:54:07Z","title":"LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-06-27T07:26:58.608421Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2606.12895"},"observation_digest":"sha256:2434df90624eddd01b36241a293bcc96ddc80d9837062ab63593c973ef8e3b02","observation_id":"267b5636-24d7-4fdf-a0a5-6b6c0eab2729","resolution":{"observed_at":"2026-07-03T13:48:21.527502Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"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":"2407.04752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04752","snapshot_observed_at":"2026-07-03T15:08:32.797977Z","title":"Spikellm: Scaling up spiking neural network to large language models via saliency-based spiking","venue":null,"work_id":"61b62258-868e-43c3-ad58-e8190909b51d","year":2024},"citing_paper":{"arxiv_id":"2606.13016","last_updated":"2026-06-11T07:53:25Z","snapshot_observed_at":"2026-08-15T00:32:20.837568Z","submitted_at":"2026-06-11T07:53:25Z","title":"Otters++: A Time-to-first-spike Based Energy Efficient Optical Spiking Transformer","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T06:42:37.437403Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2606.13016"},"observation_digest":"sha256:72bf0cfb285d266971c099282bfb2ce549a7119777692c145d571d91e37843bc","observation_id":"0acea7dd-b876-40c5-a35a-47b7b32e2bec","resolution":{"observed_at":"2026-07-03T15:08:32.799467Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"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":"2407.04752","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04752","snapshot_observed_at":"2026-07-03T15:08:32.797977Z","title":"Spikellm: Scaling up spiking neural network to large language models via saliency-based spiking","venue":null,"work_id":"61b62258-868e-43c3-ad58-e8190909b51d","year":2024},"citing_paper":{"arxiv_id":"2606.27807","last_updated":"2026-06-26T07:45:45Z","snapshot_observed_at":"2026-07-07T00:01:59.695342Z","submitted_at":"2026-06-26T07:45:45Z","title":"SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T04:42:23.040915Z"},"links":{"cited_paper":"/paper/2407.04752","citing_paper":"/paper/2606.27807"},"observation_digest":"sha256:251e62fb1179b0b584a31b91384ceaa6c9c7e99f0058d5defa202b342b126cd4","observation_id":"46e37794-08bf-49e2-91b0-a153672fb85e","resolution":{"observed_at":"2026-06-29T19:33:54.595161Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.04752/citation-record","integrity":"/paper/2407.04752/integrity","json":"/paper/2407.04752/citation-record.json","paper":"/paper/2407.04752"},"outbound":[],"paper":{"arxiv_id":"2407.04752","last_updated":"2025-04-10T05:50:49Z","latest_version":3,"primary_category":"cs.LG","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"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.04752."}