{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UFP6WPMC2ZJSUR2K6RVATBZRLA","short_pith_number":"pith:UFP6WPMC","canonical_record":{"source":{"id":"2606.12981","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:14:10Z","cross_cats_sorted":[],"title_canon_sha256":"da3c6f922125eda92f2c9417488628c30df92f355fc6f46bc885d6254f1ca83c","abstract_canon_sha256":"a84e18479e871bbada45548216521fb51327601ebb96202a5c78dc6f79297f48"},"schema_version":"1.0"},"canonical_sha256":"a15feb3d82d6532a474af46a098731580e9cc045b628e53eaf974cdc4fef825b","source":{"kind":"arxiv","id":"2606.12981","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12981","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12981v1","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12981","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_12","alias_value":"UFP6WPMC2ZJS","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_16","alias_value":"UFP6WPMC2ZJSUR2K","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_8","alias_value":"UFP6WPMC","created_at":"2026-06-12T01:09:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UFP6WPMC2ZJSUR2K6RVATBZRLA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.12981","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:14:10Z","cross_cats_sorted":[],"title_canon_sha256":"da3c6f922125eda92f2c9417488628c30df92f355fc6f46bc885d6254f1ca83c","abstract_canon_sha256":"a84e18479e871bbada45548216521fb51327601ebb96202a5c78dc6f79297f48"},"schema_version":"1.0"},"canonical_sha256":"a15feb3d82d6532a474af46a098731580e9cc045b628e53eaf974cdc4fef825b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:09:36.031390Z","signature_b64":"6uR3Iz9AdK9d/uoi86ynj3cz9kiihPw8fRDKZABmizSgeBfYx3OBqpbAi9LsnErLqIVkohHPlr34DU6wCDpeAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a15feb3d82d6532a474af46a098731580e9cc045b628e53eaf974cdc4fef825b","last_reissued_at":"2026-06-12T01:09:36.030913Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:09:36.030913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.12981","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":"2026-06-12T01:09:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kS/CUJR9h8+7ToQrXpG4MptSCj4vKPb9+k6kBNXsRYMVEOFH9u4oUvvdn60TsWJYw6tIe94Myz1yx0m5eHP5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T00:14:06.571991Z"},"content_sha256":"d5340e9996906c2e7671cef62686c4abe7f28eca1e56eaa3bccb1f620e74046b","schema_version":"1.0","event_id":"sha256:d5340e9996906c2e7671cef62686c4abe7f28eca1e56eaa3bccb1f620e74046b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UFP6WPMC2ZJSUR2K6RVATBZRLA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Camera and LiDAR BEV Fusion for Cooperative 3D Object Detection on TUMTraf V2X","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Muhammad Shahbaz, Shaurya Agarwal","submitted_at":"2026-06-11T07:14:10Z","abstract_excerpt":"We describe a Camera and LiDAR fusion detector developed for the TUMTraf V2X cooperative 3D object detection track of the DriveX 2026 challenge. The detector fuses three roadside cameras with a fused infrastructure-plus-vehicle point cloud in a shared bird's-eye-view space and predicts boxes through a CenterPoint-style head with a generalized IoU regression loss and an IoU quality re-ranking head. Trained on the provided train and validation splits, the model reaches a 3D mAP of 0.85 on the public Codabench test split. While iterating on the system, we observed that 44 of the 50 test frames ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12981","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/2606.12981/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":"2026-06-12T01:09:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n/LHRGMmF/OAmPF/az3qsxciO5sn3ECtZShzUQKHs91cEerIIKcbQqfZk1RKNldEzkZLgs7VjgoC2Y4p8IHhAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T00:14:06.572373Z"},"content_sha256":"0f3ef861cbbbcf9199c839c003ec711c51969852083013d21006f8d0f734f0b1","schema_version":"1.0","event_id":"sha256:0f3ef861cbbbcf9199c839c003ec711c51969852083013d21006f8d0f734f0b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UFP6WPMC2ZJSUR2K6RVATBZRLA/bundle.json","state_url":"https://pith.science/pith/UFP6WPMC2ZJSUR2K6RVATBZRLA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UFP6WPMC2ZJSUR2K6RVATBZRLA/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":"2026-06-20T00:14:06Z","links":{"resolver":"https://pith.science/pith/UFP6WPMC2ZJSUR2K6RVATBZRLA","bundle":"https://pith.science/pith/UFP6WPMC2ZJSUR2K6RVATBZRLA/bundle.json","state":"https://pith.science/pith/UFP6WPMC2ZJSUR2K6RVATBZRLA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UFP6WPMC2ZJSUR2K6RVATBZRLA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UFP6WPMC2ZJSUR2K6RVATBZRLA","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":"a84e18479e871bbada45548216521fb51327601ebb96202a5c78dc6f79297f48","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:14:10Z","title_canon_sha256":"da3c6f922125eda92f2c9417488628c30df92f355fc6f46bc885d6254f1ca83c"},"schema_version":"1.0","source":{"id":"2606.12981","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12981","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12981v1","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12981","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_12","alias_value":"UFP6WPMC2ZJS","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_16","alias_value":"UFP6WPMC2ZJSUR2K","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_8","alias_value":"UFP6WPMC","created_at":"2026-06-12T01:09:36Z"}],"graph_snapshots":[{"event_id":"sha256:0f3ef861cbbbcf9199c839c003ec711c51969852083013d21006f8d0f734f0b1","target":"graph","created_at":"2026-06-12T01:09:36Z","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/2606.12981/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We describe a Camera and LiDAR fusion detector developed for the TUMTraf V2X cooperative 3D object detection track of the DriveX 2026 challenge. The detector fuses three roadside cameras with a fused infrastructure-plus-vehicle point cloud in a shared bird's-eye-view space and predicts boxes through a CenterPoint-style head with a generalized IoU regression loss and an IoU quality re-ranking head. Trained on the provided train and validation splits, the model reaches a 3D mAP of 0.85 on the public Codabench test split. While iterating on the system, we observed that 44 of the 50 test frames ar","authors_text":"Muhammad Shahbaz, Shaurya Agarwal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:14:10Z","title":"Camera and LiDAR BEV Fusion for Cooperative 3D Object Detection on TUMTraf V2X"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12981","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:d5340e9996906c2e7671cef62686c4abe7f28eca1e56eaa3bccb1f620e74046b","target":"record","created_at":"2026-06-12T01:09:36Z","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":"a84e18479e871bbada45548216521fb51327601ebb96202a5c78dc6f79297f48","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:14:10Z","title_canon_sha256":"da3c6f922125eda92f2c9417488628c30df92f355fc6f46bc885d6254f1ca83c"},"schema_version":"1.0","source":{"id":"2606.12981","kind":"arxiv","version":1}},"canonical_sha256":"a15feb3d82d6532a474af46a098731580e9cc045b628e53eaf974cdc4fef825b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a15feb3d82d6532a474af46a098731580e9cc045b628e53eaf974cdc4fef825b","first_computed_at":"2026-06-12T01:09:36.030913Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:09:36.030913Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6uR3Iz9AdK9d/uoi86ynj3cz9kiihPw8fRDKZABmizSgeBfYx3OBqpbAi9LsnErLqIVkohHPlr34DU6wCDpeAQ==","signature_status":"signed_v1","signed_at":"2026-06-12T01:09:36.031390Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12981","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5340e9996906c2e7671cef62686c4abe7f28eca1e56eaa3bccb1f620e74046b","sha256:0f3ef861cbbbcf9199c839c003ec711c51969852083013d21006f8d0f734f0b1"],"state_sha256":"536c3d9d4e090ae496d373cf3c4e7c396f2cd397a24377251a91941782e95712"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Awkrl2klm2qGxWI+2O3wNWt6627wDEEotPy1bW9RJk+Rc3cswU2ekievyxTBHtSRR39qjrHnvHG1nepxa0TdAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T00:14:06.574377Z","bundle_sha256":"98f666f6eb3eba9d25fbfdb4e2179a7ae6ee2ea4b28a4468000f1158d2d87149"}}