{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:7RE6L5MLWBJXBCNXJVUGKXCNPR","short_pith_number":"pith:7RE6L5ML","schema_version":"1.0","canonical_sha256":"fc49e5f58bb0537089b74d68655c4d7c5df0213dc9ba3b0712c41b768b2a4e13","source":{"kind":"arxiv","id":"2501.15995","version":1},"attestation_state":"computed","paper":{"title":"Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC","cs.NI","eess.SP"],"primary_cat":"cs.LG","authors_text":"Chunxiao Jiang, Haibin Cai, Linling Kuang, Peng Yang, Ting Wang, Yuanming Shi","submitted_at":"2025-01-27T12:29:47Z","abstract_excerpt":"Satellite networks are able to collect massive space information with advanced remote sensing technologies, which is essential for real-time applications such as natural disaster monitoring. However, traditional centralized processing by the ground server incurs a severe timeliness issue caused by the transmission bottleneck of raw data. To this end, Space Computing Power Networks (Space-CPN) emerges as a promising architecture to coordinate the computing capability of satellites and enable on board data processing. Nevertheless, due to the natural limitations of solar panels, satellite power "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2501.15995","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-01-27T12:29:47Z","cross_cats_sorted":["cs.DC","cs.NI","eess.SP"],"title_canon_sha256":"61ff64a09dd993af1d263acee0dec16ffda8baa355063914c8c1e260ea890d68","abstract_canon_sha256":"d6608b0056b468af39e154930151fc1c5e15e0ad3712887d2ffdb3d9f00d6c13"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:05:53.512375Z","signature_b64":"0kgUxUDfS70YVsdjfIqBNMwkiMx9DSuV7WsC9PVBFEiT4y4eTuKS17hb1fCmkHfWZJAOFuhDZtQmfIG7HzqCCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc49e5f58bb0537089b74d68655c4d7c5df0213dc9ba3b0712c41b768b2a4e13","last_reissued_at":"2026-07-05T10:05:53.511904Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:05:53.511904Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DC","cs.NI","eess.SP"],"primary_cat":"cs.LG","authors_text":"Chunxiao Jiang, Haibin Cai, Linling Kuang, Peng Yang, Ting Wang, Yuanming Shi","submitted_at":"2025-01-27T12:29:47Z","abstract_excerpt":"Satellite networks are able to collect massive space information with advanced remote sensing technologies, which is essential for real-time applications such as natural disaster monitoring. However, traditional centralized processing by the ground server incurs a severe timeliness issue caused by the transmission bottleneck of raw data. To this end, Space Computing Power Networks (Space-CPN) emerges as a promising architecture to coordinate the computing capability of satellites and enable on board data processing. Nevertheless, due to the natural limitations of solar panels, satellite power "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.15995","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.15995/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2501.15995","created_at":"2026-07-05T10:05:53.511981+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.15995v1","created_at":"2026-07-05T10:05:53.511981+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.15995","created_at":"2026-07-05T10:05:53.511981+00:00"},{"alias_kind":"pith_short_12","alias_value":"7RE6L5MLWBJX","created_at":"2026-07-05T10:05:53.511981+00:00"},{"alias_kind":"pith_short_16","alias_value":"7RE6L5MLWBJXBCNX","created_at":"2026-07-05T10:05:53.511981+00:00"},{"alias_kind":"pith_short_8","alias_value":"7RE6L5ML","created_at":"2026-07-05T10:05:53.511981+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR","json":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR.json","graph_json":"https://pith.science/api/pith-number/7RE6L5MLWBJXBCNXJVUGKXCNPR/graph.json","events_json":"https://pith.science/api/pith-number/7RE6L5MLWBJXBCNXJVUGKXCNPR/events.json","paper":"https://pith.science/paper/7RE6L5ML"},"agent_actions":{"view_html":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR","download_json":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR.json","view_paper":"https://pith.science/paper/7RE6L5ML","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.15995&json=true","fetch_graph":"https://pith.science/api/pith-number/7RE6L5MLWBJXBCNXJVUGKXCNPR/graph.json","fetch_events":"https://pith.science/api/pith-number/7RE6L5MLWBJXBCNXJVUGKXCNPR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR/action/storage_attestation","attest_author":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR/action/author_attestation","sign_citation":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR/action/citation_signature","submit_replication":"https://pith.science/pith/7RE6L5MLWBJXBCNXJVUGKXCNPR/action/replication_record"}},"created_at":"2026-07-05T10:05:53.511981+00:00","updated_at":"2026-07-05T10:05:53.511981+00:00"}