{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7A7QWOAOLXHJ3DVFRXB2CP57JW","short_pith_number":"pith:7A7QWOAO","canonical_record":{"source":{"id":"2401.11913","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-22T13:01:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3dcb6aafb5fddbdef748b5f88b9e79996651fa0601f728ee708a33078e7a3a96","abstract_canon_sha256":"70651b155168d2391cf00cfe77860150b6d6f42a86cb8329401184306d4e15e4"},"schema_version":"1.0"},"canonical_sha256":"f83f0b380e5dce9d8ea58dc3a13fbf4db602a028e44b06a63e5f0e12f212de8f","source":{"kind":"arxiv","id":"2401.11913","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.11913","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"arxiv_version","alias_value":"2401.11913v2","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.11913","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"pith_short_12","alias_value":"7A7QWOAOLXHJ","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"pith_short_16","alias_value":"7A7QWOAOLXHJ3DVF","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"pith_short_8","alias_value":"7A7QWOAO","created_at":"2026-07-05T07:54:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7A7QWOAOLXHJ3DVFRXB2CP57JW","target":"record","payload":{"canonical_record":{"source":{"id":"2401.11913","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-22T13:01:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3dcb6aafb5fddbdef748b5f88b9e79996651fa0601f728ee708a33078e7a3a96","abstract_canon_sha256":"70651b155168d2391cf00cfe77860150b6d6f42a86cb8329401184306d4e15e4"},"schema_version":"1.0"},"canonical_sha256":"f83f0b380e5dce9d8ea58dc3a13fbf4db602a028e44b06a63e5f0e12f212de8f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:54:07.546986Z","signature_b64":"Cr5ZsIv2pn77TNdBec5fzvgVyuqzvhDxK9xYKqEX33/qBZkia2e5eIfT7bExf4JGVfBVyu2avOL0YottM5ozAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f83f0b380e5dce9d8ea58dc3a13fbf4db602a028e44b06a63e5f0e12f212de8f","last_reissued_at":"2026-07-05T07:54:07.546479Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:54:07.546479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.11913","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:54:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3yy72QD5TWG8QXioB2VUYk8cSNUXNzuJQ34OSx79/KvouLYWRgq6nXIULyQ0p+BB34p2hDhd6cYC50bCQM9lCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:08:19.822960Z"},"content_sha256":"6ba15e3b8afcd48cadcf58910e2504486c710ead41873ea84e6b1be7f08679a3","schema_version":"1.0","event_id":"sha256:6ba15e3b8afcd48cadcf58910e2504486c710ead41873ea84e6b1be7f08679a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7A7QWOAOLXHJ3DVFRXB2CP57JW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large receptive field strategy and important feature extraction strategy in 3D object detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Guangyu Jia, Leichao Cui, Min Meng, Xiuxian Li","submitted_at":"2024-01-22T13:01:28Z","abstract_excerpt":"The enhancement of 3D object detection is pivotal for precise environmental perception and improved task execution capabilities in autonomous driving. LiDAR point clouds, offering accurate depth information, serve as a crucial information for this purpose. Our study focuses on key challenges in 3D target detection. To tackle the challenge of expanding the receptive field of a 3D convolutional kernel, we introduce the Dynamic Feature Fusion Module (DFFM). This module achieves adaptive expansion of the 3D convolutional kernel's receptive field, balancing the expansion with acceptable computation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.11913","kind":"arxiv","version":2},"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/2401.11913/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":"2026-07-05T07:54:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xrONbkdevjjFyxr1LyphwsMbUHB7U9ArBH2XRYOHTw57lSqiEUTg2G7wF9o+lpmWUJI2xgCMrnfaloDWJkojAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:08:19.823586Z"},"content_sha256":"16b67a871e7dc0c8917f9995c4e417dd45eb31699d58cb7ad0d9638a3934e862","schema_version":"1.0","event_id":"sha256:16b67a871e7dc0c8917f9995c4e417dd45eb31699d58cb7ad0d9638a3934e862"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7A7QWOAOLXHJ3DVFRXB2CP57JW/bundle.json","state_url":"https://pith.science/pith/7A7QWOAOLXHJ3DVFRXB2CP57JW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7A7QWOAOLXHJ3DVFRXB2CP57JW/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":"2026-08-03T16:08:19Z","links":{"resolver":"https://pith.science/pith/7A7QWOAOLXHJ3DVFRXB2CP57JW","bundle":"https://pith.science/pith/7A7QWOAOLXHJ3DVFRXB2CP57JW/bundle.json","state":"https://pith.science/pith/7A7QWOAOLXHJ3DVFRXB2CP57JW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7A7QWOAOLXHJ3DVFRXB2CP57JW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7A7QWOAOLXHJ3DVFRXB2CP57JW","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":"70651b155168d2391cf00cfe77860150b6d6f42a86cb8329401184306d4e15e4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-22T13:01:28Z","title_canon_sha256":"3dcb6aafb5fddbdef748b5f88b9e79996651fa0601f728ee708a33078e7a3a96"},"schema_version":"1.0","source":{"id":"2401.11913","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.11913","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"arxiv_version","alias_value":"2401.11913v2","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.11913","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"pith_short_12","alias_value":"7A7QWOAOLXHJ","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"pith_short_16","alias_value":"7A7QWOAOLXHJ3DVF","created_at":"2026-07-05T07:54:07Z"},{"alias_kind":"pith_short_8","alias_value":"7A7QWOAO","created_at":"2026-07-05T07:54:07Z"}],"graph_snapshots":[{"event_id":"sha256:16b67a871e7dc0c8917f9995c4e417dd45eb31699d58cb7ad0d9638a3934e862","target":"graph","created_at":"2026-07-05T07:54:07Z","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/2401.11913/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The enhancement of 3D object detection is pivotal for precise environmental perception and improved task execution capabilities in autonomous driving. LiDAR point clouds, offering accurate depth information, serve as a crucial information for this purpose. Our study focuses on key challenges in 3D target detection. To tackle the challenge of expanding the receptive field of a 3D convolutional kernel, we introduce the Dynamic Feature Fusion Module (DFFM). This module achieves adaptive expansion of the 3D convolutional kernel's receptive field, balancing the expansion with acceptable computation","authors_text":"Guangyu Jia, Leichao Cui, Min Meng, Xiuxian Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-22T13:01:28Z","title":"Large receptive field strategy and important feature extraction strategy in 3D object detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.11913","kind":"arxiv","version":2},"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":"sha256:6ba15e3b8afcd48cadcf58910e2504486c710ead41873ea84e6b1be7f08679a3","target":"record","created_at":"2026-07-05T07:54:07Z","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":"70651b155168d2391cf00cfe77860150b6d6f42a86cb8329401184306d4e15e4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-22T13:01:28Z","title_canon_sha256":"3dcb6aafb5fddbdef748b5f88b9e79996651fa0601f728ee708a33078e7a3a96"},"schema_version":"1.0","source":{"id":"2401.11913","kind":"arxiv","version":2}},"canonical_sha256":"f83f0b380e5dce9d8ea58dc3a13fbf4db602a028e44b06a63e5f0e12f212de8f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f83f0b380e5dce9d8ea58dc3a13fbf4db602a028e44b06a63e5f0e12f212de8f","first_computed_at":"2026-07-05T07:54:07.546479Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:07.546479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Cr5ZsIv2pn77TNdBec5fzvgVyuqzvhDxK9xYKqEX33/qBZkia2e5eIfT7bExf4JGVfBVyu2avOL0YottM5ozAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:07.546986Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.11913","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ba15e3b8afcd48cadcf58910e2504486c710ead41873ea84e6b1be7f08679a3","sha256:16b67a871e7dc0c8917f9995c4e417dd45eb31699d58cb7ad0d9638a3934e862"],"state_sha256":"e5c0f2cbca97ab6f2875e097cebc8bd2483df665fd5bb5b53aa8bcc9957000c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RBfgcLwWgWwDH527El5C4a4oGSV/0uMyulpNijvE9TIanxNL+b0LQVIm25ojD6z8E1k9jmGtpdJsoaa7swaSBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:08:19.828377Z","bundle_sha256":"cd22dc6ba98ddd8ec7ad5862a0731d6d2fa50f3e7b0ee458a7b2de9022eded25"}}