{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:MHK2YSTDGH5LCXQEUNRPFWNJDH","short_pith_number":"pith:MHK2YSTD","canonical_record":{"source":{"id":"2107.05448","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-12T14:22:20Z","cross_cats_sorted":[],"title_canon_sha256":"04df41d21e72c2acb597427b9897343582e8a2cdb43cb0b20a2ba1561e45abd8","abstract_canon_sha256":"9967079924eadc5965d2a8b57751990fdbf427899d4067a82a9097cdc5a66ebf"},"schema_version":"1.0"},"canonical_sha256":"61d5ac4a6331fab15e04a362f2d9a919d4d5af4be98cd77e0811d1d1199031c1","source":{"kind":"arxiv","id":"2107.05448","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.05448","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"arxiv_version","alias_value":"2107.05448v1","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.05448","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"pith_short_12","alias_value":"MHK2YSTDGH5L","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"pith_short_16","alias_value":"MHK2YSTDGH5LCXQE","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"pith_short_8","alias_value":"MHK2YSTD","created_at":"2026-07-05T02:57:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:MHK2YSTDGH5LCXQEUNRPFWNJDH","target":"record","payload":{"canonical_record":{"source":{"id":"2107.05448","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-12T14:22:20Z","cross_cats_sorted":[],"title_canon_sha256":"04df41d21e72c2acb597427b9897343582e8a2cdb43cb0b20a2ba1561e45abd8","abstract_canon_sha256":"9967079924eadc5965d2a8b57751990fdbf427899d4067a82a9097cdc5a66ebf"},"schema_version":"1.0"},"canonical_sha256":"61d5ac4a6331fab15e04a362f2d9a919d4d5af4be98cd77e0811d1d1199031c1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:57:02.865184Z","signature_b64":"UXBUdVc85iENO66NwPlfn1cZfrfPD/T3PsoQWW3ctugTWFp930/9GcwirbCmhNxq9rfB+FeEn5N/VveILHceBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61d5ac4a6331fab15e04a362f2d9a919d4d5af4be98cd77e0811d1d1199031c1","last_reissued_at":"2026-07-05T02:57:02.864840Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:57:02.864840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.05448","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":"2026-07-05T02:57:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2Db/OI4Vy1IOcfvodRDy1A7mKn8dPEAGXbn8k13ZXqHXc3x3cc0+ubGG/a3JeTFnV6U0IxZEcxQNCQ+aTsnQBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:32:33.537307Z"},"content_sha256":"215e1c71ff02d57a17d6cec384b246fe21616bc25f6e60438057d67798461620","schema_version":"1.0","event_id":"sha256:215e1c71ff02d57a17d6cec384b246fe21616bc25f6e60438057d67798461620"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:MHK2YSTDGH5LCXQEUNRPFWNJDH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scenes and Surroundings: Scene Graph Generation using Relation Transformer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Poulami Sinhamahapatra, Rajat Koner, Volker Tresp","submitted_at":"2021-07-12T14:22:20Z","abstract_excerpt":"Identifying objects in an image and their mutual relationships as a scene graph leads to a deep understanding of image content. Despite the recent advancement in deep learning, the detection and labeling of visual object relationships remain a challenging task. This work proposes a novel local-context aware architecture named relation transformer, which exploits complex global objects to object and object to edge (relation) interactions. Our hierarchical multi-head attention-based approach efficiently captures contextual dependencies between objects and predicts their relationships. In compari"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.05448","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/2107.05448/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":"2026-07-05T02:57:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"faph3msbpddgUpeHakhmmCUr3wA6RQJGTM9YnSKZ3/zMTQbSuVlZy0qnF+S/f8HuiqAvFMYR/6gjCskMEyp6AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:32:33.538195Z"},"content_sha256":"13d311f6451328b5e0d02ac24bf2dccaf817f75fcb7b24fa6310cbad80bcb3b6","schema_version":"1.0","event_id":"sha256:13d311f6451328b5e0d02ac24bf2dccaf817f75fcb7b24fa6310cbad80bcb3b6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MHK2YSTDGH5LCXQEUNRPFWNJDH/bundle.json","state_url":"https://pith.science/pith/MHK2YSTDGH5LCXQEUNRPFWNJDH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MHK2YSTDGH5LCXQEUNRPFWNJDH/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":"2026-08-04T21:32:33Z","links":{"resolver":"https://pith.science/pith/MHK2YSTDGH5LCXQEUNRPFWNJDH","bundle":"https://pith.science/pith/MHK2YSTDGH5LCXQEUNRPFWNJDH/bundle.json","state":"https://pith.science/pith/MHK2YSTDGH5LCXQEUNRPFWNJDH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MHK2YSTDGH5LCXQEUNRPFWNJDH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MHK2YSTDGH5LCXQEUNRPFWNJDH","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":"9967079924eadc5965d2a8b57751990fdbf427899d4067a82a9097cdc5a66ebf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-12T14:22:20Z","title_canon_sha256":"04df41d21e72c2acb597427b9897343582e8a2cdb43cb0b20a2ba1561e45abd8"},"schema_version":"1.0","source":{"id":"2107.05448","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.05448","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"arxiv_version","alias_value":"2107.05448v1","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.05448","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"pith_short_12","alias_value":"MHK2YSTDGH5L","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"pith_short_16","alias_value":"MHK2YSTDGH5LCXQE","created_at":"2026-07-05T02:57:02Z"},{"alias_kind":"pith_short_8","alias_value":"MHK2YSTD","created_at":"2026-07-05T02:57:02Z"}],"graph_snapshots":[{"event_id":"sha256:13d311f6451328b5e0d02ac24bf2dccaf817f75fcb7b24fa6310cbad80bcb3b6","target":"graph","created_at":"2026-07-05T02:57:02Z","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/2107.05448/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Identifying objects in an image and their mutual relationships as a scene graph leads to a deep understanding of image content. Despite the recent advancement in deep learning, the detection and labeling of visual object relationships remain a challenging task. This work proposes a novel local-context aware architecture named relation transformer, which exploits complex global objects to object and object to edge (relation) interactions. Our hierarchical multi-head attention-based approach efficiently captures contextual dependencies between objects and predicts their relationships. In compari","authors_text":"Poulami Sinhamahapatra, Rajat Koner, Volker Tresp","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-12T14:22:20Z","title":"Scenes and Surroundings: Scene Graph Generation using Relation Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.05448","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":"sha256:215e1c71ff02d57a17d6cec384b246fe21616bc25f6e60438057d67798461620","target":"record","created_at":"2026-07-05T02:57:02Z","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":"9967079924eadc5965d2a8b57751990fdbf427899d4067a82a9097cdc5a66ebf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-07-12T14:22:20Z","title_canon_sha256":"04df41d21e72c2acb597427b9897343582e8a2cdb43cb0b20a2ba1561e45abd8"},"schema_version":"1.0","source":{"id":"2107.05448","kind":"arxiv","version":1}},"canonical_sha256":"61d5ac4a6331fab15e04a362f2d9a919d4d5af4be98cd77e0811d1d1199031c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61d5ac4a6331fab15e04a362f2d9a919d4d5af4be98cd77e0811d1d1199031c1","first_computed_at":"2026-07-05T02:57:02.864840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:57:02.864840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UXBUdVc85iENO66NwPlfn1cZfrfPD/T3PsoQWW3ctugTWFp930/9GcwirbCmhNxq9rfB+FeEn5N/VveILHceBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:57:02.865184Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.05448","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:215e1c71ff02d57a17d6cec384b246fe21616bc25f6e60438057d67798461620","sha256:13d311f6451328b5e0d02ac24bf2dccaf817f75fcb7b24fa6310cbad80bcb3b6"],"state_sha256":"33370ac23997c20ef4849e13db331faa491803f41ac3e56c6bc4d4dd084e7556"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NEKPwGyJlDhxUE30KkPXE5PTqda9wiu/PHCO+l3G/MoOD9ITAXlSmOwyvgfctwkynt7+2NghzGl+OTgO9MqtDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T21:32:33.543723Z","bundle_sha256":"ed6b6b68eec7a59c3769767c4871610ce900f17d68d9f9329c46873d205cb0b3"}}