{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:INGVVHS4X7RLSAQ3UPEX2UUWMX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"0d4618617019a8fceb9caf674e2563aa05eceb00b0251cdf95d07912754f410d","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-07-21T04:46:05Z","title_canon_sha256":"e6c39bb23b248c4b520ad308aec8b1951bd8b4f093b179cd3f81384ada3e30b0"},"schema_version":"1.0","source":{"id":"2407.15053","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15053","created_at":"2026-07-05T09:35:11Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15053v2","created_at":"2026-07-05T09:35:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15053","created_at":"2026-07-05T09:35:11Z"},{"alias_kind":"pith_short_12","alias_value":"INGVVHS4X7RL","created_at":"2026-07-05T09:35:11Z"},{"alias_kind":"pith_short_16","alias_value":"INGVVHS4X7RLSAQ3","created_at":"2026-07-05T09:35:11Z"},{"alias_kind":"pith_short_8","alias_value":"INGVVHS4","created_at":"2026-07-05T09:35:11Z"}],"graph_snapshots":[{"event_id":"sha256:0e37d76a684d77392695e91348dabe83aa62db99e51101d4ddf5dfc58859a98e","target":"graph","created_at":"2026-07-05T09:35:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2407.15053/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic communication (SemCom) leveraging advanced deep learning (DL) technologies enhances the efficiency and reliability of information transmission. Emerging stacked intelligent metasurface (SIM) with an electromagnetic neural network (EMNN) architecture enables complex computations at the speed of light. In this letter, we introduce an innovative SIM-aided SemCom system for image recognition tasks, where a SIM is positioned in front of the transmitting antenna. In contrast to conventional communication systems that transmit modulated signals carrying the image information or compressed se","authors_text":"Guojun Huang, Jiancheng An, Lu Gan, Mehdi Bennis, M\\'erouane Debbah, Zhaohui Yang","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-07-21T04:46:05Z","title":"Stacked Intelligent Metasurfaces for Task-Oriented Semantic Communications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15053","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c495fbce67e891e9b63e7daf4a039341a8600e0a86c3d6d660fc928641c7ea55","target":"record","created_at":"2026-07-05T09:35:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"0d4618617019a8fceb9caf674e2563aa05eceb00b0251cdf95d07912754f410d","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2024-07-21T04:46:05Z","title_canon_sha256":"e6c39bb23b248c4b520ad308aec8b1951bd8b4f093b179cd3f81384ada3e30b0"},"schema_version":"1.0","source":{"id":"2407.15053","kind":"arxiv","version":2}},"canonical_sha256":"434d5a9e5cbfe2b9021ba3c97d529665ce8d0057bb2ccffc5b75de89881a23d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"434d5a9e5cbfe2b9021ba3c97d529665ce8d0057bb2ccffc5b75de89881a23d3","first_computed_at":"2026-07-05T09:35:11.642301Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:35:11.642301Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u+5qlu+/pYwLSANb779cj5zxh1a9HOrYuAd3dwk0Z6H1W9hQd6eTf9nMfUUhoGroQSYGTnkanXF6a96mXV1MDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:35:11.642811Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15053","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c495fbce67e891e9b63e7daf4a039341a8600e0a86c3d6d660fc928641c7ea55","sha256:0e37d76a684d77392695e91348dabe83aa62db99e51101d4ddf5dfc58859a98e"],"state_sha256":"3cca9d16742928088e190cc3d5c6698360b08c1fbf173bdeb0a6650de81b8355"}