{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SNBIDXKYEQSTNMY675U56C5ICO","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":"f9e690a6f85a650fe9aa7db4eea62eb9d6a63e1a65eef39f22dc094ce8e81320","cross_cats_sorted":["cs.AI","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-07T02:31:04Z","title_canon_sha256":"9904ca2acf3bbe233f19f0a0681341cd561ddd96f1fa3c80cef549e410ad2203"},"schema_version":"1.0","source":{"id":"2501.04732","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.04732","created_at":"2026-07-05T09:58:45Z"},{"alias_kind":"arxiv_version","alias_value":"2501.04732v1","created_at":"2026-07-05T09:58:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.04732","created_at":"2026-07-05T09:58:45Z"},{"alias_kind":"pith_short_12","alias_value":"SNBIDXKYEQST","created_at":"2026-07-05T09:58:45Z"},{"alias_kind":"pith_short_16","alias_value":"SNBIDXKYEQSTNMY6","created_at":"2026-07-05T09:58:45Z"},{"alias_kind":"pith_short_8","alias_value":"SNBIDXKY","created_at":"2026-07-05T09:58:45Z"}],"graph_snapshots":[{"event_id":"sha256:311ad36ec9e1f5d1fd6071acb71b9eb3715fab3ac34c6765faa8a42418cd0a28","target":"graph","created_at":"2026-07-05T09:58:45Z","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/2501.04732/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Coping with the impact of dynamic channels is a critical issue in joint source-channel coding (JSCC)-based semantic communication systems. In this paper, we propose a lightweight channel-adaptive semantic coding architecture called SNR-EQ-JSCC. It is built upon the generic Transformer model and achieves channel adaptation (CA) by Embedding the signal-to-noise ratio (SNR) into the attention blocks and dynamically adjusting attention scores through channel-adaptive Queries. Meanwhile, penalty terms are introduced in the loss function to stabilize the training process. Considering that instantane","authors_text":"Hongwei Zhang, Meixia Tao","cross_cats":["cs.AI","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-07T02:31:04Z","title":"SNR-EQ-JSCC: Joint Source-Channel Coding with SNR-Based Embedding and Query"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.04732","kind":"arxiv","version":1},"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:d38a7d075fa4be2ecdd3bec172ae1a1cc83fcd4f0a7ea01c715254caca470aa3","target":"record","created_at":"2026-07-05T09:58:45Z","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":"f9e690a6f85a650fe9aa7db4eea62eb9d6a63e1a65eef39f22dc094ce8e81320","cross_cats_sorted":["cs.AI","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2025-01-07T02:31:04Z","title_canon_sha256":"9904ca2acf3bbe233f19f0a0681341cd561ddd96f1fa3c80cef549e410ad2203"},"schema_version":"1.0","source":{"id":"2501.04732","kind":"arxiv","version":1}},"canonical_sha256":"934281dd58242536b31eff69df0ba8139b219c7d9fd492971b53188c48579f5f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"934281dd58242536b31eff69df0ba8139b219c7d9fd492971b53188c48579f5f","first_computed_at":"2026-07-05T09:58:45.555770Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:58:45.555770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yaoKPvSplP6TMuagjPITmxt3XUblmsHJ1AS8cQFjsXXlkwIfbMjvdBpOto7v5fU3BCe257nFwei2KKKLiSb2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:58:45.556267Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.04732","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d38a7d075fa4be2ecdd3bec172ae1a1cc83fcd4f0a7ea01c715254caca470aa3","sha256:311ad36ec9e1f5d1fd6071acb71b9eb3715fab3ac34c6765faa8a42418cd0a28"],"state_sha256":"6e20e4b063c4328be9df8d4c94592bc3f5ea498057b28a4c59d9ebc955b17800"}