{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:RGCRHGXLKFXKLBMMT654VZXLDR","short_pith_number":"pith:RGCRHGXL","schema_version":"1.0","canonical_sha256":"8985139aeb516ea5858c9fbbcae6eb1c7800e9f7936d017a98c217bab16c5afe","source":{"kind":"arxiv","id":"2411.12833","version":1},"attestation_state":"computed","paper":{"title":"Efficient Medicinal Image Transmission and Resolution Enhancement via GAN","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Jeetashree Aparjeeta, Mukund Sharma, Pushkar Sharma, Rishabh Kumar Sharma","submitted_at":"2024-11-19T19:39:42Z","abstract_excerpt":"While X-ray imaging is indispensable in medical diagnostics, it inherently carries with it those noises and limitations on resolution that mask the details necessary for diagnosis. B/W X-ray images require a careful balance between noise suppression and high-detail preservation to ensure clarity in soft-tissue structures and bone edges. While traditional methods, such as CNNs and early super-resolution models like ESRGAN, have enhanced image resolution, they often perform poorly regarding high-frequency detail preservation and noise control for B/W imaging. We are going to present one efficien"},"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":"2411.12833","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2024-11-19T19:39:42Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"f371865234771cf5510e20e1b0532e9dc5ac6582ca114c18f97bd84c70cf7b9c","abstract_canon_sha256":"ae6e399c386d11aae96e3025e46fc799bb92d22eeb867188c2ae6da7fe4ee5c9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:38:01.070526Z","signature_b64":"1kzcMRcIGUXRxSzAANmvh8pQgwxLf8A6OFFqHpvwD8yXApqtjjcK8OokkTkOAg2ipZB9CHQ04lRN0boczZbxCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8985139aeb516ea5858c9fbbcae6eb1c7800e9f7936d017a98c217bab16c5afe","last_reissued_at":"2026-07-05T09:38:01.070032Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:38:01.070032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient Medicinal Image Transmission and Resolution Enhancement via GAN","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"eess.IV","authors_text":"Jeetashree Aparjeeta, Mukund Sharma, Pushkar Sharma, Rishabh Kumar Sharma","submitted_at":"2024-11-19T19:39:42Z","abstract_excerpt":"While X-ray imaging is indispensable in medical diagnostics, it inherently carries with it those noises and limitations on resolution that mask the details necessary for diagnosis. B/W X-ray images require a careful balance between noise suppression and high-detail preservation to ensure clarity in soft-tissue structures and bone edges. While traditional methods, such as CNNs and early super-resolution models like ESRGAN, have enhanced image resolution, they often perform poorly regarding high-frequency detail preservation and noise control for B/W imaging. We are going to present one efficien"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.12833","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/2411.12833/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":"2411.12833","created_at":"2026-07-05T09:38:01.070088+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.12833v1","created_at":"2026-07-05T09:38:01.070088+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.12833","created_at":"2026-07-05T09:38:01.070088+00:00"},{"alias_kind":"pith_short_12","alias_value":"RGCRHGXLKFXK","created_at":"2026-07-05T09:38:01.070088+00:00"},{"alias_kind":"pith_short_16","alias_value":"RGCRHGXLKFXKLBMM","created_at":"2026-07-05T09:38:01.070088+00:00"},{"alias_kind":"pith_short_8","alias_value":"RGCRHGXL","created_at":"2026-07-05T09:38:01.070088+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/RGCRHGXLKFXKLBMMT654VZXLDR","json":"https://pith.science/pith/RGCRHGXLKFXKLBMMT654VZXLDR.json","graph_json":"https://pith.science/api/pith-number/RGCRHGXLKFXKLBMMT654VZXLDR/graph.json","events_json":"https://pith.science/api/pith-number/RGCRHGXLKFXKLBMMT654VZXLDR/events.json","paper":"https://pith.science/paper/RGCRHGXL"},"agent_actions":{"view_html":"https://pith.science/pith/RGCRHGXLKFXKLBMMT654VZXLDR","download_json":"https://pith.science/pith/RGCRHGXLKFXKLBMMT654VZXLDR.json","view_paper":"https://pith.science/paper/RGCRHGXL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.12833&json=true","fetch_graph":"https://pith.science/api/pith-number/RGCRHGXLKFXKLBMMT654VZXLDR/graph.json","fetch_events":"https://pith.science/api/pith-number/RGCRHGXLKFXKLBMMT654VZXLDR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RGCRHGXLKFXKLBMMT654VZXLDR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RGCRHGXLKFXKLBMMT654VZXLDR/action/storage_attestation","attest_author":"https://pith.science/pith/RGCRHGXLKFXKLBMMT654VZXLDR/action/author_attestation","sign_citation":"https://pith.science/pith/RGCRHGXLKFXKLBMMT654VZXLDR/action/citation_signature","submit_replication":"https://pith.science/pith/RGCRHGXLKFXKLBMMT654VZXLDR/action/replication_record"}},"created_at":"2026-07-05T09:38:01.070088+00:00","updated_at":"2026-07-05T09:38:01.070088+00:00"}