{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ZUMB6EAN43MXJVZEFM5DGCS7OW","short_pith_number":"pith:ZUMB6EAN","canonical_record":{"source":{"id":"2509.02904","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T00:12:58Z","cross_cats_sorted":[],"title_canon_sha256":"9c25247ba3bd6efcac7f87e451c3c7899bff1cd140ab5967d8330717ee3c79a1","abstract_canon_sha256":"5724c2fb91161ea3adc0519cbbeb89276c0da307442f6256fb19d0adaa6221b1"},"schema_version":"1.0"},"canonical_sha256":"cd181f100de6d974d7242b3a330a5f75b11219031e60965bff61ea47fce09984","source":{"kind":"arxiv","id":"2509.02904","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.02904","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"arxiv_version","alias_value":"2509.02904v1","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.02904","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"pith_short_12","alias_value":"ZUMB6EAN43MX","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZUMB6EAN43MXJVZE","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZUMB6EAN","created_at":"2026-07-05T12:03:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ZUMB6EAN43MXJVZEFM5DGCS7OW","target":"record","payload":{"canonical_record":{"source":{"id":"2509.02904","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T00:12:58Z","cross_cats_sorted":[],"title_canon_sha256":"9c25247ba3bd6efcac7f87e451c3c7899bff1cd140ab5967d8330717ee3c79a1","abstract_canon_sha256":"5724c2fb91161ea3adc0519cbbeb89276c0da307442f6256fb19d0adaa6221b1"},"schema_version":"1.0"},"canonical_sha256":"cd181f100de6d974d7242b3a330a5f75b11219031e60965bff61ea47fce09984","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:59.699786Z","signature_b64":"vF3M5dVdbiuMrQM8+MWiR4sMtrUN8czauPEpMFcMioqlD3xLZEk+EmDhatxurI58V61MHKEKOrGxTU2/3ZNqAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd181f100de6d974d7242b3a330a5f75b11219031e60965bff61ea47fce09984","last_reissued_at":"2026-07-05T12:03:59.699101Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:59.699101Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.02904","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":"2026-07-05T12:03:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H4b/JJfsAMGiKkTgV0yoULvDzejKlEedVJFP7Bqkk92eD66qrtlS2Sgo3NDzf293lWpr746RDOz+3oegB/PBDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:03:51.506894Z"},"content_sha256":"9f552a0f78137c8a2d7ad92f7635f6dc1af8f6f2ee80471ead12fd0df85d7399","schema_version":"1.0","event_id":"sha256:9f552a0f78137c8a2d7ad92f7635f6dc1af8f6f2ee80471ead12fd0df85d7399"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ZUMB6EAN43MXJVZEFM5DGCS7OW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Muhammad Shahbaz, Shaurya Agarwal","submitted_at":"2025-09-03T00:12:58Z","abstract_excerpt":"Sim2Real domain transfer offers a cost-effective and scalable approach for developing LiDAR-based perception (e.g., object detection, tracking, segmentation) in Intelligent Transportation Systems (ITS). However, perception models trained in simulation often under perform on real-world data due to distributional shifts. To address this Sim2Real gap, this paper proposes a high-fidelity digital twin (HiFi DT) framework that incorporates real-world background geometry, lane-level road topology, and sensor-specific specifications and placement. We formalize the domain adaptation challenge underlyin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.02904","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/2509.02904/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":"2026-07-05T12:03:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wbvHCDn9w0N5ZzyOJYgAeLsXjmDqfEKZk7T4z9SDBVqHxkozT1lJVhCRhMDpN42YrLFsDi55IcZfdKvsrzdjAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T05:03:51.507386Z"},"content_sha256":"5c2be7ff8100700015bab54d277fe4f29f4bba9c5fc0bb22079b0b89f2d6723c","schema_version":"1.0","event_id":"sha256:5c2be7ff8100700015bab54d277fe4f29f4bba9c5fc0bb22079b0b89f2d6723c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZUMB6EAN43MXJVZEFM5DGCS7OW/bundle.json","state_url":"https://pith.science/pith/ZUMB6EAN43MXJVZEFM5DGCS7OW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZUMB6EAN43MXJVZEFM5DGCS7OW/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":"2026-08-06T05:03:51Z","links":{"resolver":"https://pith.science/pith/ZUMB6EAN43MXJVZEFM5DGCS7OW","bundle":"https://pith.science/pith/ZUMB6EAN43MXJVZEFM5DGCS7OW/bundle.json","state":"https://pith.science/pith/ZUMB6EAN43MXJVZEFM5DGCS7OW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZUMB6EAN43MXJVZEFM5DGCS7OW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZUMB6EAN43MXJVZEFM5DGCS7OW","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":"5724c2fb91161ea3adc0519cbbeb89276c0da307442f6256fb19d0adaa6221b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T00:12:58Z","title_canon_sha256":"9c25247ba3bd6efcac7f87e451c3c7899bff1cd140ab5967d8330717ee3c79a1"},"schema_version":"1.0","source":{"id":"2509.02904","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.02904","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"arxiv_version","alias_value":"2509.02904v1","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.02904","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"pith_short_12","alias_value":"ZUMB6EAN43MX","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZUMB6EAN43MXJVZE","created_at":"2026-07-05T12:03:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZUMB6EAN","created_at":"2026-07-05T12:03:59Z"}],"graph_snapshots":[{"event_id":"sha256:5c2be7ff8100700015bab54d277fe4f29f4bba9c5fc0bb22079b0b89f2d6723c","target":"graph","created_at":"2026-07-05T12:03:59Z","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/2509.02904/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sim2Real domain transfer offers a cost-effective and scalable approach for developing LiDAR-based perception (e.g., object detection, tracking, segmentation) in Intelligent Transportation Systems (ITS). However, perception models trained in simulation often under perform on real-world data due to distributional shifts. To address this Sim2Real gap, this paper proposes a high-fidelity digital twin (HiFi DT) framework that incorporates real-world background geometry, lane-level road topology, and sensor-specific specifications and placement. We formalize the domain adaptation challenge underlyin","authors_text":"Muhammad Shahbaz, Shaurya Agarwal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T00:12:58Z","title":"High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.02904","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":"sha256:9f552a0f78137c8a2d7ad92f7635f6dc1af8f6f2ee80471ead12fd0df85d7399","target":"record","created_at":"2026-07-05T12:03:59Z","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":"5724c2fb91161ea3adc0519cbbeb89276c0da307442f6256fb19d0adaa6221b1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-03T00:12:58Z","title_canon_sha256":"9c25247ba3bd6efcac7f87e451c3c7899bff1cd140ab5967d8330717ee3c79a1"},"schema_version":"1.0","source":{"id":"2509.02904","kind":"arxiv","version":1}},"canonical_sha256":"cd181f100de6d974d7242b3a330a5f75b11219031e60965bff61ea47fce09984","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd181f100de6d974d7242b3a330a5f75b11219031e60965bff61ea47fce09984","first_computed_at":"2026-07-05T12:03:59.699101Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:59.699101Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vF3M5dVdbiuMrQM8+MWiR4sMtrUN8czauPEpMFcMioqlD3xLZEk+EmDhatxurI58V61MHKEKOrGxTU2/3ZNqAg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:59.699786Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.02904","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f552a0f78137c8a2d7ad92f7635f6dc1af8f6f2ee80471ead12fd0df85d7399","sha256:5c2be7ff8100700015bab54d277fe4f29f4bba9c5fc0bb22079b0b89f2d6723c"],"state_sha256":"6272271a299d96f823008485aa9c07297ceb5454ddd02b7d2218201189b2c849"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DrkdK2MCF1s8tGgsyg7X7s/ij9CKodUt9HpLB34LzSXwGJjQIsXDUgOtlKZQroiGtHq5BoIUxAhE/cjkzsT/DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T05:03:51.510950Z","bundle_sha256":"90df4d11ab9586bfe9e312408e63e4d8d33a20c94ff3ccac6d0591d4ec3f2b5f"}}