{"as_of":"2026-08-14T09:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1db50a7ce69fb067afe66a06ee194857ebb5a6aff3183e6399d1ff64d88a42d7","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T15:23:04.665869Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2501.14744/citation-record","integrity":"/paper/2501.14744/integrity","json":"/paper/2501.14744/citation-record.json","paper":"/paper/2501.14744"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.371190Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.371190Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:d545a8ca986a7799fd2668f0e3d8c39bc5dc9ed203027f70ff4125b773dd603d","observation_id":"12b11ca3-32d3-49bd-8eca-6a1652d771c1","resolution":{"observed_at":"2026-08-11T15:23:04.371190Z","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":"2026-08-11T15:23:04.380542Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.380542Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:00c0d84424ab84586dd22aa52c0f77b16e658c3b1c2c60bebfde6d2e8d174bc2","observation_id":"b2ca7925-fca7-4621-adae-ae46c0b8c2e1","resolution":{"observed_at":"2026-08-11T15:23:04.380542Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.658576Z","title":null,"venue":null,"work_id":"ee515c5f-81c7-4388-8d52-f26effaf28f9","year":1974},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.386956Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:18c6af6fcaa3b990b5736c29b8311faaba668008e37a804df9406f833b5d3e38","observation_id":"3acb13e4-d7c7-4add-be65-1822aa98104c","resolution":{"observed_at":"2026-08-11T15:23:05.663863Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.641382Z","title":null,"venue":null,"work_id":"ae3652f0-07a4-4392-aeec-e3e0f2593230","year":1988},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.393277Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:fd6f7f1208c2d5be1d1d9806a81a15f595b162c302ae07b4d6b259f87862a746","observation_id":"31ab79fb-f5ac-4c5a-abbf-a16cca3a226b","resolution":{"observed_at":"2026-08-11T15:23:05.647231Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.624326Z","title":"S.; Gopinath, R","venue":null,"work_id":"b5ddfb70-13ce-4b21-b604-75ee7b8d9888","year":1998},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.399779Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:85b811d9f9a97c0f3749145d3441e3a8204dc2136198a81fb378ddad2aab35fa","observation_id":"c4432899-1c6b-43e4-a2f0-0c6c01e613d9","resolution":{"observed_at":"2026-08-11T15:23:05.629571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.608254Z","title":null,"venue":null,"work_id":"28231d4f-e46e-4c36-ae6f-d5847bb10245","year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.405165Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:5968348c583543d832ea9f6da0d400546fc4a932c5f6c1169848351702d0348a","observation_id":"3195fbc8-5794-4b7d-b4d8-c1a59fa6f0a5","resolution":{"observed_at":"2026-08-11T15:23:05.613414Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.592574Z","title":null,"venue":null,"work_id":"6a932ee8-bc8b-4880-8d6d-bc8bf498d04f","year":2009},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.410932Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:01b6415f97ae77dd4ccef1d794996ebebaf8303f162a3d2017eade4d90583e27","observation_id":"04ea81ea-9a3e-4883-9bee-873ecbcf9d83","resolution":{"observed_at":"2026-08-11T15:23:05.597554Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.575541Z","title":null,"venue":null,"work_id":"938b3b58-23ee-48ae-97e2-d42226b05e0b","year":2020},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.416551Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:ac92eb4747c1525b0a7b5dae48f7f3614028f9ada3542cf4d0d2b81a77aeae32","observation_id":"4ddcd6c9-59e8-4755-9a8a-df9a398c8015","resolution":{"observed_at":"2026-08-11T15:23:05.581232Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.559871Z","title":null,"venue":null,"work_id":"b937ebe3-3335-4c2c-b4c3-52225d3f8df1","year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.423671Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:75980835b23dfe7cf88c040fbabfe2b1a19d24c7042bd344cddd67aa60dac9eb","observation_id":"0e6682ae-4b27-4646-9580-c52979ee072e","resolution":{"observed_at":"2026-08-11T15:23:05.564774Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.11946","last_updated":"2022-05-15T11:17:43Z","snapshot_observed_at":"2026-08-13T16:34:57.200097Z","submitted_at":"2022-02-24T08:02:37Z","title":"Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.11946","snapshot_observed_at":"2026-08-11T15:23:04.428809Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.428809Z"},"links":{"cited_paper":"/paper/2202.11946","citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:7f21868dde4f9451af36751f354c4e437384e47cce7bc9b4bf58bd3b8858e822","observation_id":"c71f30a5-4b34-483b-b449-799ff9b0a6cd","resolution":{"observed_at":"2026-08-11T15:23:04.428809Z","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":"2026-08-11T15:23:04.434992Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.434992Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:ecdb1dee71d68c883b93d8a9afc500641002c459dbf22bd2bae8897cc28797c5","observation_id":"6e2b7221-ac7a-4c7f-b8af-fb928848ffcf","resolution":{"observed_at":"2026-08-11T15:23:04.434992Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.533082Z","title":"K.; Ward, M.; Neftci, E","venue":null,"work_id":"56e781cc-5b47-4b3f-bc2b-b4655223bf7c","year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.440607Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:18e4baa963161bea01c23562ac5566059d7a31a9ecec56733a8d3174cb70d3bb","observation_id":"5635e93a-553b-4466-9c1d-483631830537","resolution":{"observed_at":"2026-08-11T15:23:05.538557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.516458Z","title":"M.; Devienne, P.; and Boulet, P","venue":null,"work_id":"e2475570-0527-4582-978b-3865d328e253","year":2018},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.445360Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:821b63b3f6f8595424ab1a206d804586fa831bf0da396b96e50659c1f8660116","observation_id":"b8c6acf4-016f-4505-a6ac-8c888c793912","resolution":{"observed_at":"2026-08-11T15:23:05.521910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.450601Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.450601Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:6f9d6f48b52de2ceb087b92aca66acdf906e9c9636bdec46d78c06a97b409d97","observation_id":"2f54ee40-aac0-4778-afb6-935839d0bb22","resolution":{"observed_at":"2026-08-11T15:23:04.450601Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.488881Z","title":"S.; and Roy, K","venue":null,"work_id":"134663be-872f-48df-8dc3-551871b6403e","year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.456188Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:712579d9f980a66c99eb373b48662ea9eb9c22a84e49345d8b65f35ce4000b90","observation_id":"ae9e0aef-4e9f-496c-b5cf-4d6dab1f2be1","resolution":{"observed_at":"2026-08-11T15:23:05.493788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.472497Z","title":"R.; Cheng, M.-M.; and Hu, S.-M","venue":null,"work_id":"6859823c-eb65-4564-81a9-4bdbab803b15","year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.461146Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:55cbbfa29a5e425414ebc75b19afc7dc36fda13fb3e9d1c9aac6063b637f5a7b","observation_id":"5d23a6db-ed9c-40c8-9ec9-8cfa2d19c6af","resolution":{"observed_at":"2026-08-11T15:23:05.477873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13598","last_updated":"2023-02-27T09:07:15Z","snapshot_observed_at":"2026-08-14T08:14:14.737000Z","submitted_at":"2023-02-27T09:07:15Z","title":"Spatial-Frequency Attention for Image Denoising","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13598","snapshot_observed_at":"2026-08-11T15:23:04.466358Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.466358Z"},"links":{"cited_paper":"/paper/2302.13598","citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:59557d70e626adf0bdbcbd267c5fbefd7ab8fb3a66cec7a30b5ef4a8968009a0","observation_id":"02b422a5-834a-424a-a838-a4ee43ad3e44","resolution":{"observed_at":"2026-08-11T15:23:04.466358Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.454528Z","title":null,"venue":null,"work_id":"d38becab-557c-4811-b431-37505e7a3460","year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.471572Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:652bbfdfba273deffc83f36dd850e813f07f7c961a28199d3748a1d4eb0d3496","observation_id":"4c6809d9-a4cb-4efe-a401-06529622bbed","resolution":{"observed_at":"2026-08-11T15:23:05.459410Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.438098Z","title":null,"venue":null,"work_id":"307605b6-00e5-43c8-9493-51c0bae23fb5","year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.476385Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:ef1e9cdce743d31d6caf36c9d9b2f7cc55bcf08185d0812422deef651c6cc1bb","observation_id":"8cb16398-fb82-4c40-9c92-5bf7c77401ee","resolution":{"observed_at":"2026-08-11T15:23:05.443455Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.420330Z","title":null,"venue":null,"work_id":"bc73a693-45c1-4feb-8b20-367541c16881","year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.482681Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:de5683d2759ae1d7639c1afbccc2d17b61a18b18152e5107a59c42de74c14453","observation_id":"ef2b8da4-16ba-4d4c-8ac4-aefdfcfe2e97","resolution":{"observed_at":"2026-08-11T15:23:05.425918Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.404337Z","title":null,"venue":null,"work_id":"77b715af-084c-4c5d-a846-054c51a4471a","year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.488047Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:12815012e49d964ec3bc0a5102fc4a0fc348eacfd7779c6eff8110649f9b92c7","observation_id":"e3b5084b-2dd8-4495-9fd4-ddcb71cce7c3","resolution":{"observed_at":"2026-08-11T15:23:05.409580Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.388515Z","title":null,"venue":null,"work_id":"0416de4a-a4ac-4aec-bba4-32788f6698b5","year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.493332Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:d8f1b9c0f2c3494013699f5aaa496afbb9edb6a8028054ef680b066a0be3505b","observation_id":"22b3f4de-fb8e-499f-875b-cf45b61a75bd","resolution":{"observed_at":"2026-08-11T15:23:05.393662Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.498135Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.498135Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:597d4f1dc620a4b9a0e45f06332c45180d6b5893e2949b5b77e138bd5aa175d5","observation_id":"38319e34-2d2a-41c8-a7f6-5d13bb65563d","resolution":{"observed_at":"2026-08-11T15:23:04.498135Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.360169Z","title":"E.; Mohamed, A.-r.; Jaitly, N.; Senior, A.; Vanhoucke, V.; Nguyen, P.; Sainath, T","venue":null,"work_id":"340678ea-de28-444d-9582-1352583896b2","year":2012},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.503819Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:febabe8fb4a4c355911940ee30cd9b79502fea98727ade2d90fe93dcd694e9c2","observation_id":"af2d7ddc-d20f-4682-a373-dc499aff97c2","resolution":{"observed_at":"2026-08-11T15:23:05.366581Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.509146Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.509146Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:2eaaa20fa221eff2f1e1080b92dc8de1844538e7df52c96a9639743d5fcea905","observation_id":"6cd47a68-0d8f-4d0a-9391-4198983b5aa3","resolution":{"observed_at":"2026-08-11T15:23:04.509146Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.328462Z","title":null,"venue":null,"work_id":"2b119720-1d6d-4f19-a7ce-a78765782907","year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.514160Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:ce457f63202a9742ba9dac4e58856dace0df033b4247ff7445dbb027f9ff5439","observation_id":"eb010d08-2c93-4221-a64e-88fab63e9e5f","resolution":{"observed_at":"2026-08-11T15:23:05.334547Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.519132Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.519132Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:93b19cad6a9840ea2710e86e36c5d04c51ec222f10aab34c22c4ba5257e4c384","observation_id":"09a8ff37-69f4-4a29-be61-c4319f377810","resolution":{"observed_at":"2026-08-11T15:23:04.519132Z","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":"2026-08-11T15:23:04.526003Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.526003Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:06c0e7b373870d0efc6016b4c65d215f53b2e7fabe9c6e57ff0c9af148219d13","observation_id":"b069c57e-31e9-41a1-afb7-61b33c47f04e","resolution":{"observed_at":"2026-08-11T15:23:04.526003Z","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":"2026-08-11T15:23:04.531403Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.531403Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:87278be023769b8d9932028d2785d86812b72cd4df9a71c310f9885294407b18","observation_id":"f19282a3-6509-494e-a398-7df47fe5439a","resolution":{"observed_at":"2026-08-11T15:23:04.531403Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.269805Z","title":null,"venue":null,"work_id":"d9312edd-2ef6-46a3-b422-e6a127bffd7a","year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.536899Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:4fff02815ad8dbd3ee7b51de249f436602d8b80e75250534e037deb9a182559e","observation_id":"cb074868-bd78-4295-9e62-1ce9ad2e1f66","resolution":{"observed_at":"2026-08-11T15:23:05.279681Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.253127Z","title":null,"venue":null,"work_id":"943b35fc-83f7-4319-a393-54375155704a","year":2017},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.542022Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:bb05cde1c6ba91d7c675efd04ca66d49a78a929c777781755acba77437ad8bab","observation_id":"ebc39858-19e0-480a-8af2-4940bfe42c0d","resolution":{"observed_at":"2026-08-11T15:23:05.258550Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.236176Z","title":null,"venue":null,"work_id":"903feb75-090f-4148-a326-865b379bb5bb","year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.547025Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:dcb49b533b3a210fec97e0fe813b9ea301b538cb65a409345f5876b5b4a38437","observation_id":"98efa77c-86a4-4865-a406-f69fef8c7a44","resolution":{"observed_at":"2026-08-11T15:23:05.241423Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.215036Z","title":null,"venue":null,"work_id":"44ccb36f-62cf-401d-9127-403cc411d123","year":2017},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.552935Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:adc8f701a7e156e2a7c2035d7b8e4da4ea6ffd607d48fd8599bb0decad59fbe8","observation_id":"3a104753-1514-49e5-8053-5635c9abc352","resolution":{"observed_at":"2026-08-11T15:23:05.221622Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.557900Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.557900Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:2fff303d6af3a21289ad034b108383ca086c2a63db9eec214d8d6b5282e4ddb9","observation_id":"d3e07c80-063d-4e0c-aa84-6321c08f4517","resolution":{"observed_at":"2026-08-11T15:23:04.557900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06446","last_updated":"2023-04-14T22:20:46Z","snapshot_observed_at":"2026-08-13T12:03:37.160456Z","submitted_at":"2023-04-13T12:27:17Z","title":"SpectFormer: Frequency and Attention is what you need in a Vision Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06446","snapshot_observed_at":"2026-08-11T15:23:04.562840Z","title":"N.; Namboodiri, V","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.562840Z"},"links":{"cited_paper":"/paper/2304.06446","citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:5a23c26e8dec7b4e7e30bad92d8b7b21f3271798dd539153fa12a8b38a6b351d","observation_id":"c75cc50f-d07c-4b36-8722-c7529707f32d","resolution":{"observed_at":"2026-08-11T15:23:04.562840Z","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":"2026-08-11T15:23:04.568638Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.568638Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:459acacbf0e3b874d88719ef68cb7449d00bf2916e3ea29cd8f73bbaa7de8563","observation_id":"d735e694-a32a-4832-8fff-91a521a4f96f","resolution":{"observed_at":"2026-08-11T15:23:04.568638Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:05.171485Z","title":null,"venue":null,"work_id":"9881d52b-8370-4606-ab70-d5f240ba8be4","year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.573757Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:b69949abbfa7ba5fcc40f7c9db9f271d42530acbc65c7724bc33a3666bd987ec","observation_id":"91bdf0a4-a1b4-4e15-a098-0208fe500a78","resolution":{"observed_at":"2026-08-11T15:23:05.177032Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.01807","last_updated":"2020-05-04T19:30:43Z","snapshot_observed_at":"2026-08-10T09:06:07.761032Z","submitted_at":"2020-05-04T19:30:43Z","title":"Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.01807","snapshot_observed_at":"2026-08-11T15:23:04.578528Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.578528Z"},"links":{"cited_paper":"/paper/2005.01807","citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:6339e0f48ce760f436858d9da50f32e9825af187803de6e8b949ed7ce174c8ef","observation_id":"33e64099-64a5-4b43-8c46-9f27e1bf3f7b","resolution":{"observed_at":"2026-08-11T15:23:04.578528Z","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":"2026-08-11T15:23:04.583639Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.583639Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:29e0c498ed3eee47d7507baa41af6d98ec7beff1107dd99160f7751e204a067a","observation_id":"336588e2-d94a-4496-8d4e-844ad759cead","resolution":{"observed_at":"2026-08-11T15:23:04.583639Z","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":"2026-08-11T15:23:04.588917Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.588917Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:68df28ab5756e5a2a73796805c0cc0d6676780016e04f20695b6d0a546c87997","observation_id":"7299c7ab-d404-4d10-9f8b-e8bb8c24d5e1","resolution":{"observed_at":"2026-08-11T15:23:04.588917Z","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":"2026-08-11T15:23:04.595034Z","title":"D.; Kulkarni, S","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.595034Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:07c0106d31dd0452eb7ae7e37cf3c8672021f0d03362f17cfb162828d416a5cd","observation_id":"169cfc46-db4f-4fec-b822-6064cf33bce0","resolution":{"observed_at":"2026-08-11T15:23:04.595034Z","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":"2026-08-11T15:23:04.599746Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.599746Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:3749f281130f763be0e9b3ca46950292bf3abca28481e331e7df45d9cfbbd914","observation_id":"7d128887-8380-4ce8-ab6b-4f7a887de4dc","resolution":{"observed_at":"2026-08-11T15:23:04.599746Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.959032Z","title":"K.; Wang, Y.; Pan, G.; and Tang, H","venue":null,"work_id":"1b46116a-6310-4b87-89ef-54c90af35dba","year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.604643Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:415d5f1d392a4e8290bf80e902b3e2b83e49e5b91d62b1884af20ae240bde4e7","observation_id":"6694a4ad-0c64-4c15-bdca-75ea2cdc4623","resolution":{"observed_at":"2026-08-11T15:23:04.964330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.610309Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.610309Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:10cdb53c8c593deff9e15a68bcddde3f096bf8fdcdd0ccf4d8ad783d517023ae","observation_id":"dd6d7d5a-c4e4-42a3-aced-4cd7d32bcfd0","resolution":{"observed_at":"2026-08-11T15:23:04.610309Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.931138Z","title":null,"venue":null,"work_id":"fd61e40e-5881-436e-9fd3-d1abbf869035","year":2024},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.615857Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:9dbae8a91efa677b2eed89cf52fa444ccde20bb1419696780510161a3ceee758","observation_id":"bdf78566-83e3-4320-bc29-8d219b2e37a4","resolution":{"observed_at":"2026-08-11T15:23:04.936234Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09500","last_updated":"2023-04-19T08:41:17Z","snapshot_observed_at":"2026-08-13T11:59:37.104758Z","submitted_at":"2023-04-19T08:41:17Z","title":"Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09500","snapshot_observed_at":"2026-08-11T15:23:04.620848Z","title":"K.; Tang, H.; and Pan, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.620848Z"},"links":{"cited_paper":"/paper/2304.09500","citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:df09b8744b8bf5c51b604a226630a771e73a9bb70c3f49860ab2349d05a4443d","observation_id":"dfbc74c2-5147-4295-ac32-8b7137d071d7","resolution":{"observed_at":"2026-08-11T15:23:04.620848Z","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":"2026-08-11T15:23:04.626001Z","title":"K.; Tang, H.; and Pan, G","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.626001Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:7d3cf6e478312f3759ecf08ef89b805cca2cff4617df62420052d9e510d0914f","observation_id":"aa89f04d-5167-460f-80f7-2cd0f28a0318","resolution":{"observed_at":"2026-08-11T15:23:04.626001Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.903666Z","title":null,"venue":null,"work_id":"6f320540-b3e4-4e1d-ad3c-bca912c18b7b","year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.630779Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:14025677c744b55c3dc6d601345920f0ba79bca9f95c9a6a4b29c318441f645a","observation_id":"084a43f4-510d-475b-b712-78fd413c2d99","resolution":{"observed_at":"2026-08-11T15:23:04.908699Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.636046Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.636046Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:f542bf88a37032ff64207d451ff6f7084f4e0ccef60dcaa10462d13fc5c1f3cd","observation_id":"b2aae342-215b-4756-b471-46542ba1ca2e","resolution":{"observed_at":"2026-08-11T15:23:04.636046Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.876776Z","title":null,"venue":null,"work_id":"bf4c1603-9931-46dd-9fb0-4b068348f1c6","year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.640731Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:fc438e2a280bf985d1fde46ad8f826c0d7044750b6bb7b8090d90a38ec9f2058","observation_id":"9c2ecfa5-ccc8-489f-a7b6-434090aeb94a","resolution":{"observed_at":"2026-08-11T15:23:04.881970Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.858115Z","title":null,"venue":null,"work_id":"9ffa3d55-531f-44c7-a469-c901e0bfb970","year":2023},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.645696Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:aae49226261082a52ae2ae3ef4309c235831db48e66ed56ffeca1a2d72d6d704","observation_id":"fe714a90-e713-4805-9148-c4a3fdb629e0","resolution":{"observed_at":"2026-08-11T15:23:04.865074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.651089Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.651089Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:bed8c70c6a84eef9d61d487a88fd0716a29579cf6842c4e82c0cb428e20d59d1","observation_id":"78e3a353-e772-4b39-bfd5-a8505cbef414","resolution":{"observed_at":"2026-08-11T15:23:04.651089Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.827306Z","title":null,"venue":null,"work_id":"17ca0a24-e9dc-4198-8745-d3f033b014b4","year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.656216Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:f865d4923ca87c46fbe978a0df87dcbcfd8939feb1f2d38df4230ebedb308132","observation_id":"b97d57b1-14f4-4157-b947-a82669e1b317","resolution":{"observed_at":"2026-08-11T15:23:04.833203Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.661176Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.661176Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:fcedab7d04cdc880eec6c0c088328f640858b9d86ef701df9119cf8e949ada2d","observation_id":"b52d41b4-0731-4fed-8e70-1acdd0b69edc","resolution":{"observed_at":"2026-08-11T15:23:04.661176Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T15:23:04.797109Z","title":null,"venue":null,"work_id":"76bb181b-c7c5-45f5-8685-b6fd91597797","year":2024},"citing_paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-11T15:23:04.665869Z"},"links":{"citing_paper":"/paper/2501.14744"},"observation_digest":"sha256:2ea48a9ddb8383b0d829aa7d79808d196d24af180e9b0f1a1b4748862e2742f4","observation_id":"dc4939e4-ee00-4475-a935-074336ab2e87","resolution":{"observed_at":"2026-08-11T15:23:04.803174Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.14744","last_updated":"2025-02-05T08:50:18Z","latest_version":2,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-14T02:44:31.719863Z","submitted_at":"2024-12-15T08:23:58Z","title":"FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":0,"verified_fuzzy":7},"total_outbound_references":55},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2501.14744."}