{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:ZBNJFSKR65VIGRXWN5OOIGYIBR","short_pith_number":"pith:ZBNJFSKR","canonical_record":{"source":{"id":"2301.01615","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-04T13:38:48Z","cross_cats_sorted":[],"title_canon_sha256":"a9db9bfbfa453e378a5d3b1936d18c6fd51d8c814fb18d15a8ea47dc628f5abd","abstract_canon_sha256":"117ffd4e455bd292dd0e6379103b04aabb2b32bebe70b18e75edc4443c8345e9"},"schema_version":"1.0"},"canonical_sha256":"c85a92c951f76a8346f66f5ce41b080c62dc74c6b9c2fb5e0fe3b5d651083e78","source":{"kind":"arxiv","id":"2301.01615","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.01615","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"arxiv_version","alias_value":"2301.01615v2","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01615","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"pith_short_12","alias_value":"ZBNJFSKR65VI","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"pith_short_16","alias_value":"ZBNJFSKR65VIGRXW","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"pith_short_8","alias_value":"ZBNJFSKR","created_at":"2026-07-05T05:31:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:ZBNJFSKR65VIGRXWN5OOIGYIBR","target":"record","payload":{"canonical_record":{"source":{"id":"2301.01615","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-04T13:38:48Z","cross_cats_sorted":[],"title_canon_sha256":"a9db9bfbfa453e378a5d3b1936d18c6fd51d8c814fb18d15a8ea47dc628f5abd","abstract_canon_sha256":"117ffd4e455bd292dd0e6379103b04aabb2b32bebe70b18e75edc4443c8345e9"},"schema_version":"1.0"},"canonical_sha256":"c85a92c951f76a8346f66f5ce41b080c62dc74c6b9c2fb5e0fe3b5d651083e78","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:31:19.875118Z","signature_b64":"OHV3nHMa5Rl7bxYYES1JrYyqfEd0x+HUpOE1l/B9agCXbPCUjU67iphBbP+t18bdsIYjsl4MeePOxEQ4zwpdAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c85a92c951f76a8346f66f5ce41b080c62dc74c6b9c2fb5e0fe3b5d651083e78","last_reissued_at":"2026-07-05T05:31:19.874621Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:31:19.874621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.01615","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":"2026-07-05T05:31:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7sq0wE5MxgpDsPojoDmip0/3NTlVQyPNZLE0UwYPRqzlVYhXkpKuCwrmZ3K63LSQP1NewshsKzXTNA6zWW/+BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:47:20.020633Z"},"content_sha256":"d257bc897818bb492a0c938d66169c7424432e5235a2f3b196a4ea2c4af5c478","schema_version":"1.0","event_id":"sha256:d257bc897818bb492a0c938d66169c7424432e5235a2f3b196a4ea2c4af5c478"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:ZBNJFSKR65VIGRXWN5OOIGYIBR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Errui Ding, Xiang Bai, Xiaoqing Ye, Xiao Tan, Zhe Liu","submitted_at":"2023-01-04T13:38:48Z","abstract_excerpt":"In this paper, we propose a cross-modal distillation method named StereoDistill to narrow the gap between the stereo and LiDAR-based approaches via distilling the stereo detectors from the superior LiDAR model at the response level, which is usually overlooked in 3D object detection distillation. The key designs of StereoDistill are: the X-component Guided Distillation~(XGD) for regression and the Cross-anchor Logit Distillation~(CLD) for classification. In XGD, instead of empirically adopting a threshold to select the high-quality teacher predictions as soft targets, we decompose the predicte"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01615","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/2301.01615/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":"2026-07-05T05:31:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3WFlWv3pVln5JcTD44+ozbFOiHRykyuOUhFJBMgEDRDXR5oz4duaB7ETk3pKdYKVzeCs/ObaXI1qiwDyeP8hDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T06:47:20.021004Z"},"content_sha256":"be27a2fef44897cf807f79299b93000940f062e3830ec1dc90ce25c87616bcb5","schema_version":"1.0","event_id":"sha256:be27a2fef44897cf807f79299b93000940f062e3830ec1dc90ce25c87616bcb5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZBNJFSKR65VIGRXWN5OOIGYIBR/bundle.json","state_url":"https://pith.science/pith/ZBNJFSKR65VIGRXWN5OOIGYIBR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZBNJFSKR65VIGRXWN5OOIGYIBR/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":"2026-07-07T06:47:20Z","links":{"resolver":"https://pith.science/pith/ZBNJFSKR65VIGRXWN5OOIGYIBR","bundle":"https://pith.science/pith/ZBNJFSKR65VIGRXWN5OOIGYIBR/bundle.json","state":"https://pith.science/pith/ZBNJFSKR65VIGRXWN5OOIGYIBR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZBNJFSKR65VIGRXWN5OOIGYIBR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:ZBNJFSKR65VIGRXWN5OOIGYIBR","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":"117ffd4e455bd292dd0e6379103b04aabb2b32bebe70b18e75edc4443c8345e9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-04T13:38:48Z","title_canon_sha256":"a9db9bfbfa453e378a5d3b1936d18c6fd51d8c814fb18d15a8ea47dc628f5abd"},"schema_version":"1.0","source":{"id":"2301.01615","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.01615","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"arxiv_version","alias_value":"2301.01615v2","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01615","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"pith_short_12","alias_value":"ZBNJFSKR65VI","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"pith_short_16","alias_value":"ZBNJFSKR65VIGRXW","created_at":"2026-07-05T05:31:19Z"},{"alias_kind":"pith_short_8","alias_value":"ZBNJFSKR","created_at":"2026-07-05T05:31:19Z"}],"graph_snapshots":[{"event_id":"sha256:be27a2fef44897cf807f79299b93000940f062e3830ec1dc90ce25c87616bcb5","target":"graph","created_at":"2026-07-05T05:31:19Z","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/2301.01615/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we propose a cross-modal distillation method named StereoDistill to narrow the gap between the stereo and LiDAR-based approaches via distilling the stereo detectors from the superior LiDAR model at the response level, which is usually overlooked in 3D object detection distillation. The key designs of StereoDistill are: the X-component Guided Distillation~(XGD) for regression and the Cross-anchor Logit Distillation~(CLD) for classification. In XGD, instead of empirically adopting a threshold to select the high-quality teacher predictions as soft targets, we decompose the predicte","authors_text":"Errui Ding, Xiang Bai, Xiaoqing Ye, Xiao Tan, Zhe Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-04T13:38:48Z","title":"StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-based 3D Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01615","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:d257bc897818bb492a0c938d66169c7424432e5235a2f3b196a4ea2c4af5c478","target":"record","created_at":"2026-07-05T05:31:19Z","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":"117ffd4e455bd292dd0e6379103b04aabb2b32bebe70b18e75edc4443c8345e9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-04T13:38:48Z","title_canon_sha256":"a9db9bfbfa453e378a5d3b1936d18c6fd51d8c814fb18d15a8ea47dc628f5abd"},"schema_version":"1.0","source":{"id":"2301.01615","kind":"arxiv","version":2}},"canonical_sha256":"c85a92c951f76a8346f66f5ce41b080c62dc74c6b9c2fb5e0fe3b5d651083e78","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c85a92c951f76a8346f66f5ce41b080c62dc74c6b9c2fb5e0fe3b5d651083e78","first_computed_at":"2026-07-05T05:31:19.874621Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:31:19.874621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OHV3nHMa5Rl7bxYYES1JrYyqfEd0x+HUpOE1l/B9agCXbPCUjU67iphBbP+t18bdsIYjsl4MeePOxEQ4zwpdAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:31:19.875118Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.01615","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d257bc897818bb492a0c938d66169c7424432e5235a2f3b196a4ea2c4af5c478","sha256:be27a2fef44897cf807f79299b93000940f062e3830ec1dc90ce25c87616bcb5"],"state_sha256":"a45dea749f2ffdbdaa866c7db3b0e67014ff891b5e819573e97eb3e9cab1c256"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DSoHS+aA5Tj68W11GTJPqCPvDyQ+TDxUMNHCLyveXNTbHSnqeGfyeTgl6Xol22aTvRgOTxJPEGx+7HV13kjRDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T06:47:20.023238Z","bundle_sha256":"57950698a123745fdbca7690041048258a0712f0067eb8c6f15e8585f2cc28ed"}}