{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:QKCRWYM4D4D6SHPRYAHXNPO5LX","short_pith_number":"pith:QKCRWYM4","schema_version":"1.0","canonical_sha256":"82851b619c1f07e91df1c00f76bddd5dc0b9612d50dd84e2b86d025d7ac78c89","source":{"kind":"arxiv","id":"2404.11280","version":2},"attestation_state":"computed","paper":{"title":"Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NI","authors_text":"Akihito Taya, Eri Hosonuma, Kaoru Sezaki, Takumi Miyoshi, Taku Yamazaki, Yuuki Nishiyama","submitted_at":"2024-04-17T11:42:39Z","abstract_excerpt":"To reduce network traffic and support environments with limited resources, a method for transmitting images with minimal transmission data is required. Several machine learning-based image compression methods, which compress the data size of images while maintaining their features, have been proposed. However, in certain situations, reconstructing only the semantic information of images at the receiver end may be sufficient. To realize this concept, semantic-information-based communication, called semantic communication, has been proposed, along with an image transmission method using semantic"},"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":"2404.11280","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2024-04-17T11:42:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3a79387851b2acb883f7f19553b1f483fd4a7b3d410d29870d416678e8551395","abstract_canon_sha256":"9fbcb69703f517f7d20405c9f1a8fd5f4cd9dbe2df248caec82839e02c88510d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:51:50.721209Z","signature_b64":"hBxsDo48YE7Zp5iob4Gq31lL3SBTT1gWaRrec99mh9I9bnxAIwLDqBLDnVO/Mt8UE5aFwNZfUBSK374JfH25AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82851b619c1f07e91df1c00f76bddd5dc0b9612d50dd84e2b86d025d7ac78c89","last_reissued_at":"2026-07-05T08:51:50.720737Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:51:50.720737Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NI","authors_text":"Akihito Taya, Eri Hosonuma, Kaoru Sezaki, Takumi Miyoshi, Taku Yamazaki, Yuuki Nishiyama","submitted_at":"2024-04-17T11:42:39Z","abstract_excerpt":"To reduce network traffic and support environments with limited resources, a method for transmitting images with minimal transmission data is required. Several machine learning-based image compression methods, which compress the data size of images while maintaining their features, have been proposed. However, in certain situations, reconstructing only the semantic information of images at the receiver end may be sufficient. To realize this concept, semantic-information-based communication, called semantic communication, has been proposed, along with an image transmission method using semantic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.11280","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/2404.11280/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":"2404.11280","created_at":"2026-07-05T08:51:50.720794+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.11280v2","created_at":"2026-07-05T08:51:50.720794+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.11280","created_at":"2026-07-05T08:51:50.720794+00:00"},{"alias_kind":"pith_short_12","alias_value":"QKCRWYM4D4D6","created_at":"2026-07-05T08:51:50.720794+00:00"},{"alias_kind":"pith_short_16","alias_value":"QKCRWYM4D4D6SHPR","created_at":"2026-07-05T08:51:50.720794+00:00"},{"alias_kind":"pith_short_8","alias_value":"QKCRWYM4","created_at":"2026-07-05T08:51:50.720794+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/QKCRWYM4D4D6SHPRYAHXNPO5LX","json":"https://pith.science/pith/QKCRWYM4D4D6SHPRYAHXNPO5LX.json","graph_json":"https://pith.science/api/pith-number/QKCRWYM4D4D6SHPRYAHXNPO5LX/graph.json","events_json":"https://pith.science/api/pith-number/QKCRWYM4D4D6SHPRYAHXNPO5LX/events.json","paper":"https://pith.science/paper/QKCRWYM4"},"agent_actions":{"view_html":"https://pith.science/pith/QKCRWYM4D4D6SHPRYAHXNPO5LX","download_json":"https://pith.science/pith/QKCRWYM4D4D6SHPRYAHXNPO5LX.json","view_paper":"https://pith.science/paper/QKCRWYM4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.11280&json=true","fetch_graph":"https://pith.science/api/pith-number/QKCRWYM4D4D6SHPRYAHXNPO5LX/graph.json","fetch_events":"https://pith.science/api/pith-number/QKCRWYM4D4D6SHPRYAHXNPO5LX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QKCRWYM4D4D6SHPRYAHXNPO5LX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QKCRWYM4D4D6SHPRYAHXNPO5LX/action/storage_attestation","attest_author":"https://pith.science/pith/QKCRWYM4D4D6SHPRYAHXNPO5LX/action/author_attestation","sign_citation":"https://pith.science/pith/QKCRWYM4D4D6SHPRYAHXNPO5LX/action/citation_signature","submit_replication":"https://pith.science/pith/QKCRWYM4D4D6SHPRYAHXNPO5LX/action/replication_record"}},"created_at":"2026-07-05T08:51:50.720794+00:00","updated_at":"2026-07-05T08:51:50.720794+00:00"}