{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:W6PXHMEEB6DBGLBDFWBHX6TEBD","short_pith_number":"pith:W6PXHMEE","schema_version":"1.0","canonical_sha256":"b79f73b0840f86132c232d827bfa6408cf451ae7966898825b191378156c5577","source":{"kind":"arxiv","id":"2501.02273","version":2},"attestation_state":"computed","paper":{"title":"Blind Training for Channel-Adaptive Digital Semantic Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"eess.SP","authors_text":"Jihong Park, Jinho Choi, Joohyuk Park, Yongjeong Oh, Yo-Seb Jeon","submitted_at":"2025-01-04T12:30:14Z","abstract_excerpt":"Semantic encoders and decoders for digital semantic communication (SC) often struggle to adapt to variations in unpredictable channel environments and diverse system designs. To address these challenges, this paper proposes a novel framework for training semantic encoders and decoders to enable channel-adaptive digital SC. The core idea is to use binary symmetric channel (BSC) as a universal representation of generic digital communications, eliminating the need to specify channel environments or system designs. Based on this idea, our framework employs parallel BSCs to equivalently model the r"},"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":"2501.02273","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-01-04T12:30:14Z","cross_cats_sorted":["cs.IT","math.IT"],"title_canon_sha256":"a08698032584bd97e4b0b919f05b11a90b662b57357ef9dfa423fe3ea2bbbd54","abstract_canon_sha256":"af26661298a569f57b6676008af07cc24e1a184651f9718bd2e5d4e724563afa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:34:42.041706Z","signature_b64":"xaAUtiAIO8KGwiHEmfWZeNVLiGrNhP+U2SvKvUWktfpd81rTHOisuFFsQu6CaBQ5rzfZuNQ5nGxjNC9wK/+yCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b79f73b0840f86132c232d827bfa6408cf451ae7966898825b191378156c5577","last_reissued_at":"2026-07-05T10:34:42.041036Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:34:42.041036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Blind Training for Channel-Adaptive Digital Semantic Communications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","math.IT"],"primary_cat":"eess.SP","authors_text":"Jihong Park, Jinho Choi, Joohyuk Park, Yongjeong Oh, Yo-Seb Jeon","submitted_at":"2025-01-04T12:30:14Z","abstract_excerpt":"Semantic encoders and decoders for digital semantic communication (SC) often struggle to adapt to variations in unpredictable channel environments and diverse system designs. To address these challenges, this paper proposes a novel framework for training semantic encoders and decoders to enable channel-adaptive digital SC. The core idea is to use binary symmetric channel (BSC) as a universal representation of generic digital communications, eliminating the need to specify channel environments or system designs. Based on this idea, our framework employs parallel BSCs to equivalently model the r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.02273","kind":"arxiv","version":2},"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/2501.02273/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":"2501.02273","created_at":"2026-07-05T10:34:42.041111+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.02273v2","created_at":"2026-07-05T10:34:42.041111+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.02273","created_at":"2026-07-05T10:34:42.041111+00:00"},{"alias_kind":"pith_short_12","alias_value":"W6PXHMEEB6DB","created_at":"2026-07-05T10:34:42.041111+00:00"},{"alias_kind":"pith_short_16","alias_value":"W6PXHMEEB6DBGLBD","created_at":"2026-07-05T10:34:42.041111+00:00"},{"alias_kind":"pith_short_8","alias_value":"W6PXHMEE","created_at":"2026-07-05T10:34:42.041111+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2508.07696","citing_title":"Importance-Aware Semantic Communication in MIMO-OFDM Systems Using Vision Transformer","ref_index":13,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD","json":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD.json","graph_json":"https://pith.science/api/pith-number/W6PXHMEEB6DBGLBDFWBHX6TEBD/graph.json","events_json":"https://pith.science/api/pith-number/W6PXHMEEB6DBGLBDFWBHX6TEBD/events.json","paper":"https://pith.science/paper/W6PXHMEE"},"agent_actions":{"view_html":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD","download_json":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD.json","view_paper":"https://pith.science/paper/W6PXHMEE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.02273&json=true","fetch_graph":"https://pith.science/api/pith-number/W6PXHMEEB6DBGLBDFWBHX6TEBD/graph.json","fetch_events":"https://pith.science/api/pith-number/W6PXHMEEB6DBGLBDFWBHX6TEBD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD/action/storage_attestation","attest_author":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD/action/author_attestation","sign_citation":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD/action/citation_signature","submit_replication":"https://pith.science/pith/W6PXHMEEB6DBGLBDFWBHX6TEBD/action/replication_record"}},"created_at":"2026-07-05T10:34:42.041111+00:00","updated_at":"2026-07-05T10:34:42.041111+00:00"}