{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:OHM2IWNA6RQIMQHH4MX46XRUE3","short_pith_number":"pith:OHM2IWNA","schema_version":"1.0","canonical_sha256":"71d9a459a0f4608640e7e32fcf5e3426e94dfada350ef15822908ac84c23e34c","source":{"kind":"arxiv","id":"2509.01119","version":1},"attestation_state":"computed","paper":{"title":"SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","eess.SP"],"primary_cat":"cs.LG","authors_text":"Kok-Seng, M.-Duong Nguyen, Octavia A. Dobre, Senura Hansaja Wanasekara, Symeon Chatzinotas, Van-Dinh Nguyen","submitted_at":"2025-09-01T04:29:43Z","abstract_excerpt":"Goal-oriented semantic communication (SC) aims to revolutionize communication systems by transmitting only task-essential information. However, current approaches face challenges such as joint training at transceivers, leading to redundant data exchange and reliance on labeled datasets, which limits their task-agnostic utility. To address these challenges, we propose a novel framework called Goal-oriented Invariant Representation-based SC (SC-GIR) for image transmission. Our framework leverages self-supervised learning to extract an invariant representation that encapsulates crucial informatio"},"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":"2509.01119","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-09-01T04:29:43Z","cross_cats_sorted":["cs.AI","eess.SP"],"title_canon_sha256":"c47dd9e68b352555388963ecd73c530ba84ccd21cd681f0ac6877bb5878ed5b2","abstract_canon_sha256":"c76c1f4422e640ddf4c1d51742843b5a3ce0492b7ac879c3a16d6dbdd8640af4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:54.106232Z","signature_b64":"zwaRgp2xqkinPXOmyW/f5e1V3hWaixGeXpQzV3kDdodXNzAVKyx1hy9HuTopY+2XTH91ZDZ9eOLzOXTn6JXNCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71d9a459a0f4608640e7e32fcf5e3426e94dfada350ef15822908ac84c23e34c","last_reissued_at":"2026-07-05T12:02:54.105800Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:54.105800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","eess.SP"],"primary_cat":"cs.LG","authors_text":"Kok-Seng, M.-Duong Nguyen, Octavia A. Dobre, Senura Hansaja Wanasekara, Symeon Chatzinotas, Van-Dinh Nguyen","submitted_at":"2025-09-01T04:29:43Z","abstract_excerpt":"Goal-oriented semantic communication (SC) aims to revolutionize communication systems by transmitting only task-essential information. However, current approaches face challenges such as joint training at transceivers, leading to redundant data exchange and reliance on labeled datasets, which limits their task-agnostic utility. To address these challenges, we propose a novel framework called Goal-oriented Invariant Representation-based SC (SC-GIR) for image transmission. Our framework leverages self-supervised learning to extract an invariant representation that encapsulates crucial informatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01119","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/2509.01119/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":"2509.01119","created_at":"2026-07-05T12:02:54.105865+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.01119v1","created_at":"2026-07-05T12:02:54.105865+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01119","created_at":"2026-07-05T12:02:54.105865+00:00"},{"alias_kind":"pith_short_12","alias_value":"OHM2IWNA6RQI","created_at":"2026-07-05T12:02:54.105865+00:00"},{"alias_kind":"pith_short_16","alias_value":"OHM2IWNA6RQIMQHH","created_at":"2026-07-05T12:02:54.105865+00:00"},{"alias_kind":"pith_short_8","alias_value":"OHM2IWNA","created_at":"2026-07-05T12:02:54.105865+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/OHM2IWNA6RQIMQHH4MX46XRUE3","json":"https://pith.science/pith/OHM2IWNA6RQIMQHH4MX46XRUE3.json","graph_json":"https://pith.science/api/pith-number/OHM2IWNA6RQIMQHH4MX46XRUE3/graph.json","events_json":"https://pith.science/api/pith-number/OHM2IWNA6RQIMQHH4MX46XRUE3/events.json","paper":"https://pith.science/paper/OHM2IWNA"},"agent_actions":{"view_html":"https://pith.science/pith/OHM2IWNA6RQIMQHH4MX46XRUE3","download_json":"https://pith.science/pith/OHM2IWNA6RQIMQHH4MX46XRUE3.json","view_paper":"https://pith.science/paper/OHM2IWNA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.01119&json=true","fetch_graph":"https://pith.science/api/pith-number/OHM2IWNA6RQIMQHH4MX46XRUE3/graph.json","fetch_events":"https://pith.science/api/pith-number/OHM2IWNA6RQIMQHH4MX46XRUE3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OHM2IWNA6RQIMQHH4MX46XRUE3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OHM2IWNA6RQIMQHH4MX46XRUE3/action/storage_attestation","attest_author":"https://pith.science/pith/OHM2IWNA6RQIMQHH4MX46XRUE3/action/author_attestation","sign_citation":"https://pith.science/pith/OHM2IWNA6RQIMQHH4MX46XRUE3/action/citation_signature","submit_replication":"https://pith.science/pith/OHM2IWNA6RQIMQHH4MX46XRUE3/action/replication_record"}},"created_at":"2026-07-05T12:02:54.105865+00:00","updated_at":"2026-07-05T12:02:54.105865+00:00"}