{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OPSOYSEA5TS5LAVKISEOZXH6YB","short_pith_number":"pith:OPSOYSEA","canonical_record":{"source":{"id":"2311.01192","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T12:36:52Z","cross_cats_sorted":[],"title_canon_sha256":"2c590907adc63d365019d18f30e85c9e844f2238c2fa7d3c326155723e5ea48d","abstract_canon_sha256":"56bd637a5e27246fe73b6633a0da270bf92509ba5526bd9cb1b8f5c98ab5f1fe"},"schema_version":"1.0"},"canonical_sha256":"73e4ec4880ece5d582aa4488ecdcfec058a1c797234563482b589474fcf95201","source":{"kind":"arxiv","id":"2311.01192","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01192","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01192v1","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01192","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"pith_short_12","alias_value":"OPSOYSEA5TS5","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"pith_short_16","alias_value":"OPSOYSEA5TS5LAVK","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"pith_short_8","alias_value":"OPSOYSEA","created_at":"2026-07-05T07:08:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OPSOYSEA5TS5LAVKISEOZXH6YB","target":"record","payload":{"canonical_record":{"source":{"id":"2311.01192","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T12:36:52Z","cross_cats_sorted":[],"title_canon_sha256":"2c590907adc63d365019d18f30e85c9e844f2238c2fa7d3c326155723e5ea48d","abstract_canon_sha256":"56bd637a5e27246fe73b6633a0da270bf92509ba5526bd9cb1b8f5c98ab5f1fe"},"schema_version":"1.0"},"canonical_sha256":"73e4ec4880ece5d582aa4488ecdcfec058a1c797234563482b589474fcf95201","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:08:22.101572Z","signature_b64":"p29xtzBgxlT0zpO5ElCsLYSC+MCwojWfnEeYc44mleMsa6CJrVYB85jfLiUruICI4nmN748+WXuZ89U/W8xcBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73e4ec4880ece5d582aa4488ecdcfec058a1c797234563482b589474fcf95201","last_reissued_at":"2026-07-05T07:08:22.101133Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:08:22.101133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.01192","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":"2026-07-05T07:08:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2BH79kpmryLlY3OAGCvmSKZbBKmlrKZYAM1WBD9Rb9WRRNOIcibOz9u9mCXvwxVt7jtwEglprJl+seVIfplQDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T06:30:51.043244Z"},"content_sha256":"d58845a6a707f8b4654c71c3c9fa9c3eef11762ac49f7b6097f51532446ba8a2","schema_version":"1.0","event_id":"sha256:d58845a6a707f8b4654c71c3c9fa9c3eef11762ac49f7b6097f51532446ba8a2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OPSOYSEA5TS5LAVKISEOZXH6YB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Byoung Chul Ko, Hyeongjin Kim, Jong Taek Lee, Sangwon Kim","submitted_at":"2023-11-02T12:36:52Z","abstract_excerpt":"Along with generative AI, interest in scene graph generation (SGG), which comprehensively captures the relationships and interactions between objects in an image and creates a structured graph-based representation, has significantly increased in recent years. However, relying on object-centric and dichotomous relationships, existing SGG methods have a limited ability to accurately predict detailed relationships. To solve these problems, a new approach to the modeling multiobject relationships, called edge dual scene graph generation (EdgeSGG), is proposed herein. EdgeSGG is based on a edge dua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01192","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/2311.01192/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":"2026-07-05T07:08:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JsETBctapTG0Lei05qvTZo6vrcS3CUh7L5g3B3EXSbnf6DzbcixDTeg3YPssDQSfxbDWWGfPfeoWhe6u/5wVAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T06:30:51.043807Z"},"content_sha256":"79053b756c2c5b7c52615c15e0bf27001fc71121b4947dce07f69f7d63b7b8a4","schema_version":"1.0","event_id":"sha256:79053b756c2c5b7c52615c15e0bf27001fc71121b4947dce07f69f7d63b7b8a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OPSOYSEA5TS5LAVKISEOZXH6YB/bundle.json","state_url":"https://pith.science/pith/OPSOYSEA5TS5LAVKISEOZXH6YB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OPSOYSEA5TS5LAVKISEOZXH6YB/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":"2026-08-13T06:30:51Z","links":{"resolver":"https://pith.science/pith/OPSOYSEA5TS5LAVKISEOZXH6YB","bundle":"https://pith.science/pith/OPSOYSEA5TS5LAVKISEOZXH6YB/bundle.json","state":"https://pith.science/pith/OPSOYSEA5TS5LAVKISEOZXH6YB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OPSOYSEA5TS5LAVKISEOZXH6YB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OPSOYSEA5TS5LAVKISEOZXH6YB","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":"56bd637a5e27246fe73b6633a0da270bf92509ba5526bd9cb1b8f5c98ab5f1fe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T12:36:52Z","title_canon_sha256":"2c590907adc63d365019d18f30e85c9e844f2238c2fa7d3c326155723e5ea48d"},"schema_version":"1.0","source":{"id":"2311.01192","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.01192","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"arxiv_version","alias_value":"2311.01192v1","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.01192","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"pith_short_12","alias_value":"OPSOYSEA5TS5","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"pith_short_16","alias_value":"OPSOYSEA5TS5LAVK","created_at":"2026-07-05T07:08:22Z"},{"alias_kind":"pith_short_8","alias_value":"OPSOYSEA","created_at":"2026-07-05T07:08:22Z"}],"graph_snapshots":[{"event_id":"sha256:79053b756c2c5b7c52615c15e0bf27001fc71121b4947dce07f69f7d63b7b8a4","target":"graph","created_at":"2026-07-05T07:08:22Z","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/2311.01192/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Along with generative AI, interest in scene graph generation (SGG), which comprehensively captures the relationships and interactions between objects in an image and creates a structured graph-based representation, has significantly increased in recent years. However, relying on object-centric and dichotomous relationships, existing SGG methods have a limited ability to accurately predict detailed relationships. To solve these problems, a new approach to the modeling multiobject relationships, called edge dual scene graph generation (EdgeSGG), is proposed herein. EdgeSGG is based on a edge dua","authors_text":"Byoung Chul Ko, Hyeongjin Kim, Jong Taek Lee, Sangwon Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T12:36:52Z","title":"Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.01192","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:d58845a6a707f8b4654c71c3c9fa9c3eef11762ac49f7b6097f51532446ba8a2","target":"record","created_at":"2026-07-05T07:08:22Z","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":"56bd637a5e27246fe73b6633a0da270bf92509ba5526bd9cb1b8f5c98ab5f1fe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-02T12:36:52Z","title_canon_sha256":"2c590907adc63d365019d18f30e85c9e844f2238c2fa7d3c326155723e5ea48d"},"schema_version":"1.0","source":{"id":"2311.01192","kind":"arxiv","version":1}},"canonical_sha256":"73e4ec4880ece5d582aa4488ecdcfec058a1c797234563482b589474fcf95201","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73e4ec4880ece5d582aa4488ecdcfec058a1c797234563482b589474fcf95201","first_computed_at":"2026-07-05T07:08:22.101133Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:08:22.101133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p29xtzBgxlT0zpO5ElCsLYSC+MCwojWfnEeYc44mleMsa6CJrVYB85jfLiUruICI4nmN748+WXuZ89U/W8xcBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:08:22.101572Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.01192","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d58845a6a707f8b4654c71c3c9fa9c3eef11762ac49f7b6097f51532446ba8a2","sha256:79053b756c2c5b7c52615c15e0bf27001fc71121b4947dce07f69f7d63b7b8a4"],"state_sha256":"45180fb8723c0b19142c1bfbeb849752b515a25d9184db1f5a0be902ad7dabf1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HmMt8IUG2ySoIz8SQUfTHlHUJzAlcel5bm5pbjEcq9s0PIB0ZpQwm2aDlCHrSdV7uJYx7DnJsT1/GF2uZ1XoDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T06:30:51.047311Z","bundle_sha256":"f913e161aceb66d0fa6f1eadb5fdd750b26de26fd6125078251aa93fa8b1b151"}}