{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7IDQ52UGGVXD5XHZKVYFBTQJYS","short_pith_number":"pith:7IDQ52UG","canonical_record":{"source":{"id":"2501.01138","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2025-01-02T08:42:55Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"f43296cdf3780249c7b06ff9bed52f998858fafd014b2cef348370e42079ab96","abstract_canon_sha256":"1da447b16d0d15f2ca100c92e37cf80e718cc28218d6e3413d8fba8618b12995"},"schema_version":"1.0"},"canonical_sha256":"fa070eea86356e3edcf9557050ce09c485a5bd28bb8cc7839a0cfc6da1ff80ab","source":{"kind":"arxiv","id":"2501.01138","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01138","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01138v2","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01138","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_12","alias_value":"7IDQ52UGGVXD","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_16","alias_value":"7IDQ52UGGVXD5XHZ","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_8","alias_value":"7IDQ52UG","created_at":"2026-07-05T11:39:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7IDQ52UGGVXD5XHZKVYFBTQJYS","target":"record","payload":{"canonical_record":{"source":{"id":"2501.01138","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2025-01-02T08:42:55Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"f43296cdf3780249c7b06ff9bed52f998858fafd014b2cef348370e42079ab96","abstract_canon_sha256":"1da447b16d0d15f2ca100c92e37cf80e718cc28218d6e3413d8fba8618b12995"},"schema_version":"1.0"},"canonical_sha256":"fa070eea86356e3edcf9557050ce09c485a5bd28bb8cc7839a0cfc6da1ff80ab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:39:46.768651Z","signature_b64":"ggBfPscRDrOACYam0jQfti/iYiGyo2OpiVrGgiZ1rPBrbVR5wDdu5r/7C+o3HuuEHaqwlE9I1k4mSPYh9IU7Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa070eea86356e3edcf9557050ce09c485a5bd28bb8cc7839a0cfc6da1ff80ab","last_reissued_at":"2026-07-05T11:39:46.768146Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:39:46.768146Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.01138","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:39:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4neeQOdOvUKM74/HKaHhRsH2HhG7LGKGuGvMAfhW2yWcJ1e6J5vjNfbnihQxfnAHRZWWMVWBx0gSmQpO4CyXBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:05:04.559745Z"},"content_sha256":"1fc58ce8149dc17a0516beccd493204408fd381dd8bbe2a322287c9b3f843881","schema_version":"1.0","event_id":"sha256:1fc58ce8149dc17a0516beccd493204408fd381dd8bbe2a322287c9b3f843881"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7IDQ52UGGVXD5XHZKVYFBTQJYS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Deniz G\\\"und\\\"uz, Guangxu Zhu, Haotian Wu, Maojun Zhang, Richeng Jin, Xiaoming Chen","submitted_at":"2025-01-02T08:42:55Z","abstract_excerpt":"Joint source-channel coding (JSCC) offers a promising avenue for enhancing transmission efficiency by jointly incorporating source and channel statistics into the system design. A key advancement in this area is the deep joint source and channel coding (DeepJSCC) technique that designs a direct mapping of input signals to channel symbols parameterized by a neural network, which can be trained for arbitrary channel models and semantic quality metrics. This paper advances the DeepJSCC framework toward a semantics-aligned, high-fidelity transmission approach, called semantics-guided diffusion Dee"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01138","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/2501.01138/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:39:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4jNp7rf2Uhb2YnJQMxweY9/DbKm4dam/wTYkythvTnC45PUUFN0JiZthTNLYEqxb9RiKv7D6GViTGO93GpUmCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:05:04.560604Z"},"content_sha256":"33e41e54a529522a161c2859936c0bed168d89ea0e476c1a2074683577082cb8","schema_version":"1.0","event_id":"sha256:33e41e54a529522a161c2859936c0bed168d89ea0e476c1a2074683577082cb8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7IDQ52UGGVXD5XHZKVYFBTQJYS/bundle.json","state_url":"https://pith.science/pith/7IDQ52UGGVXD5XHZKVYFBTQJYS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7IDQ52UGGVXD5XHZKVYFBTQJYS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T20:05:04Z","links":{"resolver":"https://pith.science/pith/7IDQ52UGGVXD5XHZKVYFBTQJYS","bundle":"https://pith.science/pith/7IDQ52UGGVXD5XHZKVYFBTQJYS/bundle.json","state":"https://pith.science/pith/7IDQ52UGGVXD5XHZKVYFBTQJYS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7IDQ52UGGVXD5XHZKVYFBTQJYS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7IDQ52UGGVXD5XHZKVYFBTQJYS","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":"1da447b16d0d15f2ca100c92e37cf80e718cc28218d6e3413d8fba8618b12995","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2025-01-02T08:42:55Z","title_canon_sha256":"f43296cdf3780249c7b06ff9bed52f998858fafd014b2cef348370e42079ab96"},"schema_version":"1.0","source":{"id":"2501.01138","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01138","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01138v2","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01138","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_12","alias_value":"7IDQ52UGGVXD","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_16","alias_value":"7IDQ52UGGVXD5XHZ","created_at":"2026-07-05T11:39:46Z"},{"alias_kind":"pith_short_8","alias_value":"7IDQ52UG","created_at":"2026-07-05T11:39:46Z"}],"graph_snapshots":[{"event_id":"sha256:33e41e54a529522a161c2859936c0bed168d89ea0e476c1a2074683577082cb8","target":"graph","created_at":"2026-07-05T11:39:46Z","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/2501.01138/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Joint source-channel coding (JSCC) offers a promising avenue for enhancing transmission efficiency by jointly incorporating source and channel statistics into the system design. A key advancement in this area is the deep joint source and channel coding (DeepJSCC) technique that designs a direct mapping of input signals to channel symbols parameterized by a neural network, which can be trained for arbitrary channel models and semantic quality metrics. This paper advances the DeepJSCC framework toward a semantics-aligned, high-fidelity transmission approach, called semantics-guided diffusion Dee","authors_text":"Deniz G\\\"und\\\"uz, Guangxu Zhu, Haotian Wu, Maojun Zhang, Richeng Jin, Xiaoming Chen","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2025-01-02T08:42:55Z","title":"Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01138","kind":"arxiv","version":2},"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":"sha256:1fc58ce8149dc17a0516beccd493204408fd381dd8bbe2a322287c9b3f843881","target":"record","created_at":"2026-07-05T11:39:46Z","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":"1da447b16d0d15f2ca100c92e37cf80e718cc28218d6e3413d8fba8618b12995","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2025-01-02T08:42:55Z","title_canon_sha256":"f43296cdf3780249c7b06ff9bed52f998858fafd014b2cef348370e42079ab96"},"schema_version":"1.0","source":{"id":"2501.01138","kind":"arxiv","version":2}},"canonical_sha256":"fa070eea86356e3edcf9557050ce09c485a5bd28bb8cc7839a0cfc6da1ff80ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa070eea86356e3edcf9557050ce09c485a5bd28bb8cc7839a0cfc6da1ff80ab","first_computed_at":"2026-07-05T11:39:46.768146Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:46.768146Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ggBfPscRDrOACYam0jQfti/iYiGyo2OpiVrGgiZ1rPBrbVR5wDdu5r/7C+o3HuuEHaqwlE9I1k4mSPYh9IU7Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:46.768651Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01138","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fc58ce8149dc17a0516beccd493204408fd381dd8bbe2a322287c9b3f843881","sha256:33e41e54a529522a161c2859936c0bed168d89ea0e476c1a2074683577082cb8"],"state_sha256":"36256d50807e1b02d4875918c5c766c4d81603dcdc86248bcdd4c8657bdf7140"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iPgbT7xEYzEbIsNEnIlrdkvZ4VSVUjCM4EE6KmfCnW1N3uS6rKooJ80ZPasikVLkV22cXq1XUOaj8q+8q59jAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T20:05:04.565579Z","bundle_sha256":"798ec7dad16831a3f82ba686b5de71779555f740f4dcb8aa9b131669a136f905"}}