{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:56YNTTVA7YUJFE3S3F4G4CWO2M","short_pith_number":"pith:56YNTTVA","canonical_record":{"source":{"id":"2504.17076","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T19:52:47Z","cross_cats_sorted":[],"title_canon_sha256":"4bda8b8d1c8ce85e1dee0ff363b20debec8c4f8679075fc08773b455ca36c4bd","abstract_canon_sha256":"5f7e164dc0ed06ffba7c8d56bc9f7bc3cbe2badeac96b5a8825be68623bf7d40"},"schema_version":"1.0"},"canonical_sha256":"efb0d9cea0fe28929372d9786e0aced30932a4e9b7d22748cbb8d2fa28313046","source":{"kind":"arxiv","id":"2504.17076","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.17076","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"arxiv_version","alias_value":"2504.17076v1","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.17076","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"pith_short_12","alias_value":"56YNTTVA7YUJ","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"pith_short_16","alias_value":"56YNTTVA7YUJFE3S","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"pith_short_8","alias_value":"56YNTTVA","created_at":"2026-07-05T10:53:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:56YNTTVA7YUJFE3S3F4G4CWO2M","target":"record","payload":{"canonical_record":{"source":{"id":"2504.17076","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T19:52:47Z","cross_cats_sorted":[],"title_canon_sha256":"4bda8b8d1c8ce85e1dee0ff363b20debec8c4f8679075fc08773b455ca36c4bd","abstract_canon_sha256":"5f7e164dc0ed06ffba7c8d56bc9f7bc3cbe2badeac96b5a8825be68623bf7d40"},"schema_version":"1.0"},"canonical_sha256":"efb0d9cea0fe28929372d9786e0aced30932a4e9b7d22748cbb8d2fa28313046","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:53:21.823078Z","signature_b64":"EszphKv8Wdf9gEdwbbv5SCvqJ5TWk2jh1OPwr1P7b+U9TWsueW03hNYfEgB3yn30nj8zvPqP19I3pQChb0WoDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"efb0d9cea0fe28929372d9786e0aced30932a4e9b7d22748cbb8d2fa28313046","last_reissued_at":"2026-07-05T10:53:21.822527Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:53:21.822527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.17076","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":"2026-07-05T10:53:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kr8mBe0zfrWKPKagbhnOa3ruAk0Qa1k6HkYmqtlu081IhD8gTVOKKojfFdqfLAwMRzGGiAkgdxtO4CBWPyjcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:32:31.624457Z"},"content_sha256":"7fdbaa4aedf213b04d2731b6e57c940b25b3c02434c5aa80726a2eef4ba616ab","schema_version":"1.0","event_id":"sha256:7fdbaa4aedf213b04d2731b6e57c940b25b3c02434c5aa80726a2eef4ba616ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:56YNTTVA7YUJFE3S3F4G4CWO2M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amirhossein Habibian, Auke Wiggers, Davide Abati, Jens Petersen","submitted_at":"2025-04-23T19:52:47Z","abstract_excerpt":"Generative image models are increasingly being used for training data augmentation in vision tasks. In the context of automotive object detection, methods usually focus on producing augmented frames that look as realistic as possible, for example by replacing real objects with generated ones. Others try to maximize the diversity of augmented frames, for example by pasting lots of generated objects onto existing backgrounds. Both perspectives pay little attention to the locations of objects in the scene. Frame layouts are either reused with little or no modification, or they are random and disr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.17076","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/2504.17076/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":"2026-07-05T10:53:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5cEcu+bTH4cjG4Thfr8dVX9pFowaXszpdS96vbjfBgy1RapHAs3lOuReltfvSANUZd2xbvih52y0cgja0PXpBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:32:31.625008Z"},"content_sha256":"894abc864d5b3bf13ec7d095655084a82c8d905efeddaffb251f0e1b3c2d9f73","schema_version":"1.0","event_id":"sha256:894abc864d5b3bf13ec7d095655084a82c8d905efeddaffb251f0e1b3c2d9f73"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/56YNTTVA7YUJFE3S3F4G4CWO2M/bundle.json","state_url":"https://pith.science/pith/56YNTTVA7YUJFE3S3F4G4CWO2M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/56YNTTVA7YUJFE3S3F4G4CWO2M/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":"2026-08-19T18:32:31Z","links":{"resolver":"https://pith.science/pith/56YNTTVA7YUJFE3S3F4G4CWO2M","bundle":"https://pith.science/pith/56YNTTVA7YUJFE3S3F4G4CWO2M/bundle.json","state":"https://pith.science/pith/56YNTTVA7YUJFE3S3F4G4CWO2M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/56YNTTVA7YUJFE3S3F4G4CWO2M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:56YNTTVA7YUJFE3S3F4G4CWO2M","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":"5f7e164dc0ed06ffba7c8d56bc9f7bc3cbe2badeac96b5a8825be68623bf7d40","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T19:52:47Z","title_canon_sha256":"4bda8b8d1c8ce85e1dee0ff363b20debec8c4f8679075fc08773b455ca36c4bd"},"schema_version":"1.0","source":{"id":"2504.17076","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.17076","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"arxiv_version","alias_value":"2504.17076v1","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.17076","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"pith_short_12","alias_value":"56YNTTVA7YUJ","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"pith_short_16","alias_value":"56YNTTVA7YUJFE3S","created_at":"2026-07-05T10:53:21Z"},{"alias_kind":"pith_short_8","alias_value":"56YNTTVA","created_at":"2026-07-05T10:53:21Z"}],"graph_snapshots":[{"event_id":"sha256:894abc864d5b3bf13ec7d095655084a82c8d905efeddaffb251f0e1b3c2d9f73","target":"graph","created_at":"2026-07-05T10:53:21Z","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/2504.17076/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative image models are increasingly being used for training data augmentation in vision tasks. In the context of automotive object detection, methods usually focus on producing augmented frames that look as realistic as possible, for example by replacing real objects with generated ones. Others try to maximize the diversity of augmented frames, for example by pasting lots of generated objects onto existing backgrounds. Both perspectives pay little attention to the locations of objects in the scene. Frame layouts are either reused with little or no modification, or they are random and disr","authors_text":"Amirhossein Habibian, Auke Wiggers, Davide Abati, Jens Petersen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T19:52:47Z","title":"Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.17076","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":"sha256:7fdbaa4aedf213b04d2731b6e57c940b25b3c02434c5aa80726a2eef4ba616ab","target":"record","created_at":"2026-07-05T10:53:21Z","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":"5f7e164dc0ed06ffba7c8d56bc9f7bc3cbe2badeac96b5a8825be68623bf7d40","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-23T19:52:47Z","title_canon_sha256":"4bda8b8d1c8ce85e1dee0ff363b20debec8c4f8679075fc08773b455ca36c4bd"},"schema_version":"1.0","source":{"id":"2504.17076","kind":"arxiv","version":1}},"canonical_sha256":"efb0d9cea0fe28929372d9786e0aced30932a4e9b7d22748cbb8d2fa28313046","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"efb0d9cea0fe28929372d9786e0aced30932a4e9b7d22748cbb8d2fa28313046","first_computed_at":"2026-07-05T10:53:21.822527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:53:21.822527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EszphKv8Wdf9gEdwbbv5SCvqJ5TWk2jh1OPwr1P7b+U9TWsueW03hNYfEgB3yn30nj8zvPqP19I3pQChb0WoDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:53:21.823078Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.17076","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7fdbaa4aedf213b04d2731b6e57c940b25b3c02434c5aa80726a2eef4ba616ab","sha256:894abc864d5b3bf13ec7d095655084a82c8d905efeddaffb251f0e1b3c2d9f73"],"state_sha256":"53831ea822f67061955ba8660c80cc6582b203c1599d79e8b74ecab61cfb776a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tN/5t4AaNrIXaRYYF7WOa8ZFZjEmlVA1zEZY1jt3nygMs/KGZEoH5Qs1qxDem5mjeMCk5p061zK8rkKuS0ugCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T18:32:31.629912Z","bundle_sha256":"d210b191fb06b12f0d95c9a8d4ee9caafe604537d63e4725d42a136939006256"}}