{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UI4EQPACSYIY2NYGT6BUZ5WF2I","short_pith_number":"pith:UI4EQPAC","canonical_record":{"source":{"id":"2305.18135","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-29T15:03:23Z","cross_cats_sorted":[],"title_canon_sha256":"bd380c58a724543d164d0c2d2f38dc78ec7284ee36201c5892a2823ff961ca37","abstract_canon_sha256":"b76484aa6648869fb206141758efee5eb2de66fd906fc2b47d61f0f0682f5b6d"},"schema_version":"1.0"},"canonical_sha256":"a238483c0296118d37069f834cf6c5d234d042dc8b9a2d81f543f798d40d0d74","source":{"kind":"arxiv","id":"2305.18135","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.18135","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"arxiv_version","alias_value":"2305.18135v2","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.18135","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"pith_short_12","alias_value":"UI4EQPACSYIY","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"pith_short_16","alias_value":"UI4EQPACSYIY2NYG","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"pith_short_8","alias_value":"UI4EQPAC","created_at":"2026-07-05T06:55:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UI4EQPACSYIY2NYGT6BUZ5WF2I","target":"record","payload":{"canonical_record":{"source":{"id":"2305.18135","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-29T15:03:23Z","cross_cats_sorted":[],"title_canon_sha256":"bd380c58a724543d164d0c2d2f38dc78ec7284ee36201c5892a2823ff961ca37","abstract_canon_sha256":"b76484aa6648869fb206141758efee5eb2de66fd906fc2b47d61f0f0682f5b6d"},"schema_version":"1.0"},"canonical_sha256":"a238483c0296118d37069f834cf6c5d234d042dc8b9a2d81f543f798d40d0d74","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:55:04.028002Z","signature_b64":"hJwXGPYkGIJKreYSsN5VQsppGNP5IaZWddSNDwnvPP24d1JPlw0Q9ejdV9cXUBuAWe45KUBsO8XOuFKJUdW8DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a238483c0296118d37069f834cf6c5d234d042dc8b9a2d81f543f798d40d0d74","last_reissued_at":"2026-07-05T06:55:04.027538Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:55:04.027538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.18135","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":"2026-07-05T06:55:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DEwEGLf8BAIgvnPyK3+zeCPm2rIWMX1zEN12ABGb0KOM777mcQE1SK6fmnBvKuEupZqhsIY+QM/Ygjrb0uPtAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T16:16:40.047573Z"},"content_sha256":"e8c5a752fbb7c86a45a163c4022ceed2c765e57793a76fa2f67534053013429b","schema_version":"1.0","event_id":"sha256:e8c5a752fbb7c86a45a163c4022ceed2c765e57793a76fa2f67534053013429b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UI4EQPACSYIY2NYGT6BUZ5WF2I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Alignment-free HDR Deghosting with Semantics Consistent Transformer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Barth\\'el\\'emy Heyrman, C\\'edric Demonceaux, Dominique Ginhac, Radu Timofte, Steven Tel, Yulun Zhang, Zongwei Wu","submitted_at":"2023-05-29T15:03:23Z","abstract_excerpt":"High dynamic range (HDR) imaging aims to retrieve information from multiple low-dynamic range inputs to generate realistic output. The essence is to leverage the contextual information, including both dynamic and static semantics, for better image generation. Existing methods often focus on the spatial misalignment across input frames caused by the foreground and/or camera motion. However, there is no research on jointly leveraging the dynamic and static context in a simultaneous manner. To delve into this problem, we propose a novel alignment-free network with a Semantics Consistent Transform"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.18135","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/2305.18135/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":"2026-07-05T06:55:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dsS2pGO1j/BaqSxjphNP9VA3PgYbHszF3hWOban8FMkZLftEAOiCi7zanVZTfBWiTr+UO7JNvWXdwp1DEgGzDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T16:16:40.048159Z"},"content_sha256":"114fad3a287dd062585dec07692d4b79f11752ddd45a7011693c51c6e9518d90","schema_version":"1.0","event_id":"sha256:114fad3a287dd062585dec07692d4b79f11752ddd45a7011693c51c6e9518d90"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UI4EQPACSYIY2NYGT6BUZ5WF2I/bundle.json","state_url":"https://pith.science/pith/UI4EQPACSYIY2NYGT6BUZ5WF2I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UI4EQPACSYIY2NYGT6BUZ5WF2I/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":"2026-08-17T16:16:40Z","links":{"resolver":"https://pith.science/pith/UI4EQPACSYIY2NYGT6BUZ5WF2I","bundle":"https://pith.science/pith/UI4EQPACSYIY2NYGT6BUZ5WF2I/bundle.json","state":"https://pith.science/pith/UI4EQPACSYIY2NYGT6BUZ5WF2I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UI4EQPACSYIY2NYGT6BUZ5WF2I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UI4EQPACSYIY2NYGT6BUZ5WF2I","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":"b76484aa6648869fb206141758efee5eb2de66fd906fc2b47d61f0f0682f5b6d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-29T15:03:23Z","title_canon_sha256":"bd380c58a724543d164d0c2d2f38dc78ec7284ee36201c5892a2823ff961ca37"},"schema_version":"1.0","source":{"id":"2305.18135","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.18135","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"arxiv_version","alias_value":"2305.18135v2","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.18135","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"pith_short_12","alias_value":"UI4EQPACSYIY","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"pith_short_16","alias_value":"UI4EQPACSYIY2NYG","created_at":"2026-07-05T06:55:04Z"},{"alias_kind":"pith_short_8","alias_value":"UI4EQPAC","created_at":"2026-07-05T06:55:04Z"}],"graph_snapshots":[{"event_id":"sha256:114fad3a287dd062585dec07692d4b79f11752ddd45a7011693c51c6e9518d90","target":"graph","created_at":"2026-07-05T06:55:04Z","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/2305.18135/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High dynamic range (HDR) imaging aims to retrieve information from multiple low-dynamic range inputs to generate realistic output. The essence is to leverage the contextual information, including both dynamic and static semantics, for better image generation. Existing methods often focus on the spatial misalignment across input frames caused by the foreground and/or camera motion. However, there is no research on jointly leveraging the dynamic and static context in a simultaneous manner. To delve into this problem, we propose a novel alignment-free network with a Semantics Consistent Transform","authors_text":"Barth\\'el\\'emy Heyrman, C\\'edric Demonceaux, Dominique Ginhac, Radu Timofte, Steven Tel, Yulun Zhang, Zongwei Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-29T15:03:23Z","title":"Alignment-free HDR Deghosting with Semantics Consistent Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.18135","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:e8c5a752fbb7c86a45a163c4022ceed2c765e57793a76fa2f67534053013429b","target":"record","created_at":"2026-07-05T06:55:04Z","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":"b76484aa6648869fb206141758efee5eb2de66fd906fc2b47d61f0f0682f5b6d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-29T15:03:23Z","title_canon_sha256":"bd380c58a724543d164d0c2d2f38dc78ec7284ee36201c5892a2823ff961ca37"},"schema_version":"1.0","source":{"id":"2305.18135","kind":"arxiv","version":2}},"canonical_sha256":"a238483c0296118d37069f834cf6c5d234d042dc8b9a2d81f543f798d40d0d74","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a238483c0296118d37069f834cf6c5d234d042dc8b9a2d81f543f798d40d0d74","first_computed_at":"2026-07-05T06:55:04.027538Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:55:04.027538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hJwXGPYkGIJKreYSsN5VQsppGNP5IaZWddSNDwnvPP24d1JPlw0Q9ejdV9cXUBuAWe45KUBsO8XOuFKJUdW8DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:55:04.028002Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.18135","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e8c5a752fbb7c86a45a163c4022ceed2c765e57793a76fa2f67534053013429b","sha256:114fad3a287dd062585dec07692d4b79f11752ddd45a7011693c51c6e9518d90"],"state_sha256":"ee596a00f3caf5ad60f7fbddcd6a1d4ce8de547a67213c29e6f43898e9eb6316"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SdfEtKbxs1rU1QibeNl266FiCItDvPrbEZyXhMHvoV5mMo/7zE9g1ifqlH+hEYjeXG7Z4dpoQMeTctT4mkEoCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T16:16:40.057119Z","bundle_sha256":"6179a49f3dcdee526493c453498f8c0ab7903dbdf41f32f660f59a0f22560f5e"}}