{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:X77LZ7X5YB77PTY2WYDFFVIPID","short_pith_number":"pith:X77LZ7X5","canonical_record":{"source":{"id":"2501.08900","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T16:08:25Z","cross_cats_sorted":[],"title_canon_sha256":"2bf28ed4cd9a6fa9014f4bd094e69545fdbb7411e330587c4916d18308ed27ff","abstract_canon_sha256":"8e598b44c221953cb27122bbe282587f5cb63ac014c0ff45cdbebb95994fd964"},"schema_version":"1.0"},"canonical_sha256":"bffebcfefdc07ff7cf1ab60652d50f40cae27983cba628be50e383b75cff45da","source":{"kind":"arxiv","id":"2501.08900","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.08900","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"arxiv_version","alias_value":"2501.08900v1","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.08900","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"pith_short_12","alias_value":"X77LZ7X5YB77","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"pith_short_16","alias_value":"X77LZ7X5YB77PTY2","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"pith_short_8","alias_value":"X77LZ7X5","created_at":"2026-07-05T10:01:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:X77LZ7X5YB77PTY2WYDFFVIPID","target":"record","payload":{"canonical_record":{"source":{"id":"2501.08900","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T16:08:25Z","cross_cats_sorted":[],"title_canon_sha256":"2bf28ed4cd9a6fa9014f4bd094e69545fdbb7411e330587c4916d18308ed27ff","abstract_canon_sha256":"8e598b44c221953cb27122bbe282587f5cb63ac014c0ff45cdbebb95994fd964"},"schema_version":"1.0"},"canonical_sha256":"bffebcfefdc07ff7cf1ab60652d50f40cae27983cba628be50e383b75cff45da","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:01:27.642725Z","signature_b64":"Ve6LEb+zxkl//yCMClHBBhfg66SObpLmujuYb8LcxN6RNfdOfHoWEFOvzmqywkccPGSbw8tAlr4S5Egue0LxDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bffebcfefdc07ff7cf1ab60652d50f40cae27983cba628be50e383b75cff45da","last_reissued_at":"2026-07-05T10:01:27.642249Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:01:27.642249Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.08900","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:01:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8SQ9h5BU5AS31mtNIEK5XImFQiU1NE+inIaRB9sZwBNXCszaqMCpSHsjxIAMLjOVjVuZlItlKUjyFv6T+0ThAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:24:10.944235Z"},"content_sha256":"6e0c6978f4fa41ff528f10dd105177e9f456c1e4a87bf21dbdc52aefad585afb","schema_version":"1.0","event_id":"sha256:6e0c6978f4fa41ff528f10dd105177e9f456c1e4a87bf21dbdc52aefad585afb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:X77LZ7X5YB77PTY2WYDFFVIPID","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhanced Multi-Scale Cross-Attention for Person Image Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Tang, Ling Shao, Luc Van Gool, Nicu Sebe","submitted_at":"2025-01-15T16:08:25Z","abstract_excerpt":"In this paper, we propose a novel cross-attention-based generative adversarial network (GAN) for the challenging person image generation task. Cross-attention is a novel and intuitive multi-modal fusion method in which an attention/correlation matrix is calculated between two feature maps of different modalities. Specifically, we propose the novel XingGAN (or CrossingGAN), which consists of two generation branches that capture the person's appearance and shape, respectively. Moreover, we propose two novel cross-attention blocks to effectively transfer and update the person's shape and appearan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.08900","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/2501.08900/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":"2026-07-05T10:01:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FaEZa4aacKkobnsBSfvnPHSgezjFxs983qPwEdDitnmCpKJNicXXfeRn22ELDBf3rWEApn+8abtEQS/YGb2fAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T01:24:10.944724Z"},"content_sha256":"7e000dce9d6022428b55ef09fc7a97d8d47f7b8339417fec3ff1a66f1856bcc9","schema_version":"1.0","event_id":"sha256:7e000dce9d6022428b55ef09fc7a97d8d47f7b8339417fec3ff1a66f1856bcc9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X77LZ7X5YB77PTY2WYDFFVIPID/bundle.json","state_url":"https://pith.science/pith/X77LZ7X5YB77PTY2WYDFFVIPID/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X77LZ7X5YB77PTY2WYDFFVIPID/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":"2026-08-08T01:24:10Z","links":{"resolver":"https://pith.science/pith/X77LZ7X5YB77PTY2WYDFFVIPID","bundle":"https://pith.science/pith/X77LZ7X5YB77PTY2WYDFFVIPID/bundle.json","state":"https://pith.science/pith/X77LZ7X5YB77PTY2WYDFFVIPID/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X77LZ7X5YB77PTY2WYDFFVIPID/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:X77LZ7X5YB77PTY2WYDFFVIPID","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":"8e598b44c221953cb27122bbe282587f5cb63ac014c0ff45cdbebb95994fd964","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T16:08:25Z","title_canon_sha256":"2bf28ed4cd9a6fa9014f4bd094e69545fdbb7411e330587c4916d18308ed27ff"},"schema_version":"1.0","source":{"id":"2501.08900","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.08900","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"arxiv_version","alias_value":"2501.08900v1","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.08900","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"pith_short_12","alias_value":"X77LZ7X5YB77","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"pith_short_16","alias_value":"X77LZ7X5YB77PTY2","created_at":"2026-07-05T10:01:27Z"},{"alias_kind":"pith_short_8","alias_value":"X77LZ7X5","created_at":"2026-07-05T10:01:27Z"}],"graph_snapshots":[{"event_id":"sha256:7e000dce9d6022428b55ef09fc7a97d8d47f7b8339417fec3ff1a66f1856bcc9","target":"graph","created_at":"2026-07-05T10:01:27Z","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/2501.08900/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a novel cross-attention-based generative adversarial network (GAN) for the challenging person image generation task. Cross-attention is a novel and intuitive multi-modal fusion method in which an attention/correlation matrix is calculated between two feature maps of different modalities. Specifically, we propose the novel XingGAN (or CrossingGAN), which consists of two generation branches that capture the person's appearance and shape, respectively. Moreover, we propose two novel cross-attention blocks to effectively transfer and update the person's shape and appearan","authors_text":"Hao Tang, Ling Shao, Luc Van Gool, Nicu Sebe","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T16:08:25Z","title":"Enhanced Multi-Scale Cross-Attention for Person Image Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.08900","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":"sha256:6e0c6978f4fa41ff528f10dd105177e9f456c1e4a87bf21dbdc52aefad585afb","target":"record","created_at":"2026-07-05T10:01:27Z","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":"8e598b44c221953cb27122bbe282587f5cb63ac014c0ff45cdbebb95994fd964","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-15T16:08:25Z","title_canon_sha256":"2bf28ed4cd9a6fa9014f4bd094e69545fdbb7411e330587c4916d18308ed27ff"},"schema_version":"1.0","source":{"id":"2501.08900","kind":"arxiv","version":1}},"canonical_sha256":"bffebcfefdc07ff7cf1ab60652d50f40cae27983cba628be50e383b75cff45da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bffebcfefdc07ff7cf1ab60652d50f40cae27983cba628be50e383b75cff45da","first_computed_at":"2026-07-05T10:01:27.642249Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:01:27.642249Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ve6LEb+zxkl//yCMClHBBhfg66SObpLmujuYb8LcxN6RNfdOfHoWEFOvzmqywkccPGSbw8tAlr4S5Egue0LxDA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:01:27.642725Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.08900","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e0c6978f4fa41ff528f10dd105177e9f456c1e4a87bf21dbdc52aefad585afb","sha256:7e000dce9d6022428b55ef09fc7a97d8d47f7b8339417fec3ff1a66f1856bcc9"],"state_sha256":"bed9cf5454345622b350e755a8db2909e159e3f0446d9727f40f615baab7c0f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xAk61pgZMmWoFvVB1EmV4SYGQ0O1v1kqZw2RBx7LRBLJTPBjhiHHRUVKdkGerlDa+E5C5hw19bxo9IelObS/Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T01:24:10.949671Z","bundle_sha256":"80c159588b76c8b617348196c9dc1114ed61bc63797f033729f869feab049c33"}}