{"as_of":"2026-08-08T20:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f3289c0ed41997cd749c9a42fde2c8baaadc3c58d78f18d236237c4efb5e0e38","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:12:15.936441Z","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":"2026-07-03T13:48:21.533655Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.03287","last_updated":"2024-06-05T13:59:03Z","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:59:03Z","title":"SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms","version":1},"cited_work":{"arxiv_id":"2406.03287","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.03287","snapshot_observed_at":"2026-07-03T13:48:21.533655Z","title":"Spikelm: Towards general spike-driven lan- guage modeling via elastic bi-spiking mechanisms","venue":null,"work_id":"f9d7c6cb-4e97-4408-9009-93d14e2e2651","year":2024},"citing_paper":{"arxiv_id":"2409.08290","last_updated":"2026-08-04T13:28:52Z","snapshot_observed_at":"2026-08-07T23:11:11.214109Z","submitted_at":"2024-08-29T07:00:35Z","title":"Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-23T21:38:09.146865Z"},"links":{"cited_paper":"/paper/2406.03287","citing_paper":"/paper/2409.08290"},"observation_digest":"sha256:60111f967e2a9816e445094655788ca7f23348c2a6300be47c8f926da00047a2","observation_id":"693a019e-4449-4029-b8c7-c25009e84297","resolution":{"observed_at":"2026-05-23T21:38:27.775025Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03287","last_updated":"2024-06-05T13:59:03Z","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:59:03Z","title":"SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03287","snapshot_observed_at":"2026-08-07T11:12:15.936441Z","title":"Spikelm: Towards general spike-driven language modeling via elastic bi-spiking mechanisms.arXiv preprint arXiv:2406.03287, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03392","last_updated":"2025-06-03T21:06:13Z","snapshot_observed_at":"2026-08-07T11:01:56.131911Z","submitted_at":"2025-06-03T21:06:13Z","title":"Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T11:12:15.936441Z"},"links":{"cited_paper":"/paper/2406.03287","citing_paper":"/paper/2506.03392"},"observation_digest":"sha256:df1b72dee1bfaf128cd5c33b0d1197041cf490918a2f348a4fdf918fbb384433","observation_id":"ab43b157-5669-434c-a638-6a8d96b5a1cf","resolution":{"observed_at":"2026-08-07T11:12:15.936441Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03287","last_updated":"2024-06-05T13:59:03Z","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:59:03Z","title":"SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms","version":1},"cited_work":{"arxiv_id":"2406.03287","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.03287","snapshot_observed_at":"2026-07-03T13:48:21.533655Z","title":"Spikelm: Towards general spike-driven lan- guage modeling via elastic bi-spiking mechanisms","venue":null,"work_id":"f9d7c6cb-4e97-4408-9009-93d14e2e2651","year":2024},"citing_paper":{"arxiv_id":"2605.13859","last_updated":"2026-04-14T09:57:15Z","snapshot_observed_at":"2026-07-06T23:25:21.032938Z","submitted_at":"2026-04-14T09:57:15Z","title":"BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-15T07:11:46.177353Z"},"links":{"cited_paper":"/paper/2406.03287","citing_paper":"/paper/2605.13859"},"observation_digest":"sha256:a35df73c93b2456c576bb0c80ea6c1d06833785b898fb311f7efbd85c8cdf308","observation_id":"083d0284-89ed-45a5-beef-7767a5acfee0","resolution":{"observed_at":"2026-05-15T07:15:11.777523Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03287","last_updated":"2024-06-05T13:59:03Z","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:59:03Z","title":"SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms","version":1},"cited_work":{"arxiv_id":"2406.03287","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.03287","snapshot_observed_at":"2026-07-03T13:48:21.533655Z","title":"Spikelm: Towards general spike-driven lan- guage modeling via elastic bi-spiking mechanisms","venue":null,"work_id":"f9d7c6cb-4e97-4408-9009-93d14e2e2651","year":2024},"citing_paper":{"arxiv_id":"2606.12895","last_updated":"2026-06-11T04:54:07Z","snapshot_observed_at":"2026-08-05T13:05:21.202083Z","submitted_at":"2026-06-11T04:54:07Z","title":"LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-06-27T07:26:58.608421Z"},"links":{"cited_paper":"/paper/2406.03287","citing_paper":"/paper/2606.12895"},"observation_digest":"sha256:e3ef314006d7b3c28d2a2be8a6fab364e6051cbc5fd658cbc33252d2514bcb1c","observation_id":"cbfa7860-7a20-4a97-9a2e-44638545f14e","resolution":{"observed_at":"2026-07-03T13:48:21.535187Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.03287/citation-record","integrity":"/paper/2406.03287/integrity","json":"/paper/2406.03287/citation-record.json","paper":"/paper/2406.03287"},"outbound":[],"paper":{"arxiv_id":"2406.03287","last_updated":"2024-06-05T13:59:03Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-07-06T18:25:53.102819Z","submitted_at":"2024-06-05T13:59:03Z","title":"SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.03287."}