{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:PS3YM2ZBQTHQAXYGQ32QPNZCFM","short_pith_number":"pith:PS3YM2ZB","canonical_record":{"source":{"id":"2407.18715","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-26T13:02:48Z","cross_cats_sorted":[],"title_canon_sha256":"84f0352901dcac1dd4dad5beff64ada275ad2f21d56a16acde6101b48b4fc08d","abstract_canon_sha256":"7d0fae79032fdeead30738f1794a5a6e4ff51017605156ee4a8916d13638afbb"},"schema_version":"1.0"},"canonical_sha256":"7cb7866b2184cf005f0686f507b7222b26794c0a9c07f16dee6f1ea441c0178e","source":{"kind":"arxiv","id":"2407.18715","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.18715","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"arxiv_version","alias_value":"2407.18715v3","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.18715","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"pith_short_12","alias_value":"PS3YM2ZBQTHQ","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"pith_short_16","alias_value":"PS3YM2ZBQTHQAXYG","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"pith_short_8","alias_value":"PS3YM2ZB","created_at":"2026-07-05T11:02:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:PS3YM2ZBQTHQAXYGQ32QPNZCFM","target":"record","payload":{"canonical_record":{"source":{"id":"2407.18715","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-26T13:02:48Z","cross_cats_sorted":[],"title_canon_sha256":"84f0352901dcac1dd4dad5beff64ada275ad2f21d56a16acde6101b48b4fc08d","abstract_canon_sha256":"7d0fae79032fdeead30738f1794a5a6e4ff51017605156ee4a8916d13638afbb"},"schema_version":"1.0"},"canonical_sha256":"7cb7866b2184cf005f0686f507b7222b26794c0a9c07f16dee6f1ea441c0178e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:02:39.063989Z","signature_b64":"0ePSwSQYVbZAvA9Up++Dy03Od9kS08mQ1Wxlo2Kph1rrLw410OBxMM4XYTLKLRhgwVUHR9oqo4ycpzheDU6gBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7cb7866b2184cf005f0686f507b7222b26794c0a9c07f16dee6f1ea441c0178e","last_reissued_at":"2026-07-05T11:02:39.063487Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:02:39.063487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.18715","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:02:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cC2J5u+GxJiip4hLEoaRctkvmJviNGlvH+9GG8r95Z7iXxhN2LZS84UIZvgN3vsZBb0IOPZmE0VLSHXPRhGjBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:52:32.877643Z"},"content_sha256":"71031aee153a9d9fb73ae89691761d45bc57594ec26376d689c8440ccf7b863c","schema_version":"1.0","event_id":"sha256:71031aee153a9d9fb73ae89691761d45bc57594ec26376d689c8440ccf7b863c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:PS3YM2ZBQTHQAXYGQ32QPNZCFM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanchao Jia, Junhang Wei, Peng Hao, Shaowei Cui, Weilong Wang, Xiaobing Wang, Xiaoshuai Hao, Yingying Jiang","submitted_at":"2024-07-26T13:02:48Z","abstract_excerpt":"Scene Graph Generation (SGG) remains a challenging task due to its compositional property. Previous approaches improve prediction efficiency through end-to-end learning. However, these methods exhibit limited performance as they assume unidirectional conditioning between entities and predicates, which restricts effective information interaction. To address this limitation, we propose a novel bidirectional conditioning factorization in a semantic-aligned space for SGG, enabling efficient and generalizable interaction between entities and predicates. Specifically, we introduce an end-to-end scen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.18715","kind":"arxiv","version":3},"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/2407.18715/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":"2026-07-05T11:02:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zMoaMY93oRdP40a95UNT15bP9VFNUi1hwn8caTB48baiM6ce5QCaX96lH5e0nAV7llv5yQbSR8vZvjAoHEl2Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:52:32.878171Z"},"content_sha256":"42ab031d8a653a44d599adb1e837dd4276ffb56d807a27cdc644ac3b9f07514b","schema_version":"1.0","event_id":"sha256:42ab031d8a653a44d599adb1e837dd4276ffb56d807a27cdc644ac3b9f07514b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PS3YM2ZBQTHQAXYGQ32QPNZCFM/bundle.json","state_url":"https://pith.science/pith/PS3YM2ZBQTHQAXYGQ32QPNZCFM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PS3YM2ZBQTHQAXYGQ32QPNZCFM/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":"2026-08-19T18:52:32Z","links":{"resolver":"https://pith.science/pith/PS3YM2ZBQTHQAXYGQ32QPNZCFM","bundle":"https://pith.science/pith/PS3YM2ZBQTHQAXYGQ32QPNZCFM/bundle.json","state":"https://pith.science/pith/PS3YM2ZBQTHQAXYGQ32QPNZCFM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PS3YM2ZBQTHQAXYGQ32QPNZCFM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PS3YM2ZBQTHQAXYGQ32QPNZCFM","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":"7d0fae79032fdeead30738f1794a5a6e4ff51017605156ee4a8916d13638afbb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-26T13:02:48Z","title_canon_sha256":"84f0352901dcac1dd4dad5beff64ada275ad2f21d56a16acde6101b48b4fc08d"},"schema_version":"1.0","source":{"id":"2407.18715","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.18715","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"arxiv_version","alias_value":"2407.18715v3","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.18715","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"pith_short_12","alias_value":"PS3YM2ZBQTHQ","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"pith_short_16","alias_value":"PS3YM2ZBQTHQAXYG","created_at":"2026-07-05T11:02:39Z"},{"alias_kind":"pith_short_8","alias_value":"PS3YM2ZB","created_at":"2026-07-05T11:02:39Z"}],"graph_snapshots":[{"event_id":"sha256:42ab031d8a653a44d599adb1e837dd4276ffb56d807a27cdc644ac3b9f07514b","target":"graph","created_at":"2026-07-05T11:02:39Z","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/2407.18715/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scene Graph Generation (SGG) remains a challenging task due to its compositional property. Previous approaches improve prediction efficiency through end-to-end learning. However, these methods exhibit limited performance as they assume unidirectional conditioning between entities and predicates, which restricts effective information interaction. To address this limitation, we propose a novel bidirectional conditioning factorization in a semantic-aligned space for SGG, enabling efficient and generalizable interaction between entities and predicates. Specifically, we introduce an end-to-end scen","authors_text":"Hanchao Jia, Junhang Wei, Peng Hao, Shaowei Cui, Weilong Wang, Xiaobing Wang, Xiaoshuai Hao, Yingying Jiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-26T13:02:48Z","title":"BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.18715","kind":"arxiv","version":3},"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":"sha256:71031aee153a9d9fb73ae89691761d45bc57594ec26376d689c8440ccf7b863c","target":"record","created_at":"2026-07-05T11:02:39Z","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":"7d0fae79032fdeead30738f1794a5a6e4ff51017605156ee4a8916d13638afbb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-26T13:02:48Z","title_canon_sha256":"84f0352901dcac1dd4dad5beff64ada275ad2f21d56a16acde6101b48b4fc08d"},"schema_version":"1.0","source":{"id":"2407.18715","kind":"arxiv","version":3}},"canonical_sha256":"7cb7866b2184cf005f0686f507b7222b26794c0a9c07f16dee6f1ea441c0178e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7cb7866b2184cf005f0686f507b7222b26794c0a9c07f16dee6f1ea441c0178e","first_computed_at":"2026-07-05T11:02:39.063487Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:39.063487Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0ePSwSQYVbZAvA9Up++Dy03Od9kS08mQ1Wxlo2Kph1rrLw410OBxMM4XYTLKLRhgwVUHR9oqo4ycpzheDU6gBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:39.063989Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.18715","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71031aee153a9d9fb73ae89691761d45bc57594ec26376d689c8440ccf7b863c","sha256:42ab031d8a653a44d599adb1e837dd4276ffb56d807a27cdc644ac3b9f07514b"],"state_sha256":"718c6338f19a58658f7436efbab2e496651a66e93b418bdeed9e023401b42a6f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6SJWOJwrfXEc97lMXbFpvG8c1Onnpja5PaAse0KWmRG/S78SttoAQz13tRxGXgfCb62y6QSMsJukPIL2PHk7AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T18:52:32.883908Z","bundle_sha256":"65390a832e73d146b9e935f34bd65f6ff68d970d901396697691f57e3f42a289"}}