{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:E5V74G5TRO7OMGNYMBOLUG3ZY5","short_pith_number":"pith:E5V74G5T","canonical_record":{"source":{"id":"2312.15742","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T14:40:46Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4ffc20ea995f7caffeb3380c2bc1a5551d5a8dcaf4498e37f68a849613281a06","abstract_canon_sha256":"ec280f2fd2e4a539b728e07c447278177fd1853e02c35b7f5b1230a3f193a7b9"},"schema_version":"1.0"},"canonical_sha256":"276bfe1bb38bbee619b8605cba1b79c744117b0393fd12e26503f42fb3411338","source":{"kind":"arxiv","id":"2312.15742","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15742","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15742v1","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15742","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"pith_short_12","alias_value":"E5V74G5TRO7O","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"pith_short_16","alias_value":"E5V74G5TRO7OMGNY","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"pith_short_8","alias_value":"E5V74G5T","created_at":"2026-07-05T07:28:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:E5V74G5TRO7OMGNYMBOLUG3ZY5","target":"record","payload":{"canonical_record":{"source":{"id":"2312.15742","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T14:40:46Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4ffc20ea995f7caffeb3380c2bc1a5551d5a8dcaf4498e37f68a849613281a06","abstract_canon_sha256":"ec280f2fd2e4a539b728e07c447278177fd1853e02c35b7f5b1230a3f193a7b9"},"schema_version":"1.0"},"canonical_sha256":"276bfe1bb38bbee619b8605cba1b79c744117b0393fd12e26503f42fb3411338","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:28:00.580019Z","signature_b64":"0ASbErTVLA78cDsKJHt6IZ09Wqg6+9oJc6Z5zmIURDwac7GqVyBzrkGDmIAwkSaDpDB0Vbw+0ip5+V/mr9VeDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"276bfe1bb38bbee619b8605cba1b79c744117b0393fd12e26503f42fb3411338","last_reissued_at":"2026-07-05T07:28:00.579398Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:28:00.579398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.15742","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":"2026-07-05T07:28:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M2P7jrWa6NkifHiKDuoyAKSEk9RSzZiwMRbheIQlmGXwRZqmHx/kY1K8XLiLJOIPERJPi7z55sXzfWGKazxPDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T21:04:06.329197Z"},"content_sha256":"a5eb2cf29d2b3425a6fd2c227f51eddd2dc2a3f1233d31cb8fc7b1a20eb6c5dc","schema_version":"1.0","event_id":"sha256:a5eb2cf29d2b3425a6fd2c227f51eddd2dc2a3f1233d31cb8fc7b1a20eb6c5dc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:E5V74G5TRO7OMGNYMBOLUG3ZY5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Cheng-zhong Xu, Jianbing Shen, Junbo Yin, Li Xiang, Ruigang Yang, Wei Li","submitted_at":"2023-12-25T14:40:46Z","abstract_excerpt":"Vehicle-to-Everything (V2X) collaborative perception has recently gained significant attention due to its capability to enhance scene understanding by integrating information from various agents, e.g., vehicles, and infrastructure. However, current works often treat the information from each agent equally, ignoring the inherent domain gap caused by the utilization of different LiDAR sensors of each agent, thus leading to suboptimal performance. In this paper, we propose DI-V2X, that aims to learn Domain-Invariant representations through a new distillation framework to mitigate the domain discr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15742","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/2312.15742/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":"2026-07-05T07:28:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zXQ2zD2tzxhSFNHh0bAV8LMvhOjH1/FSKynSR2zs6PulVtjKGq2X54tqTSAxbJ3xHVJbUuuCz5lIR7VzYdHTCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T21:04:06.330096Z"},"content_sha256":"56b070580aa22d294bb8b8b28c7426f7d90ac0d0565fe7a765cc1369e24a890c","schema_version":"1.0","event_id":"sha256:56b070580aa22d294bb8b8b28c7426f7d90ac0d0565fe7a765cc1369e24a890c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E5V74G5TRO7OMGNYMBOLUG3ZY5/bundle.json","state_url":"https://pith.science/pith/E5V74G5TRO7OMGNYMBOLUG3ZY5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E5V74G5TRO7OMGNYMBOLUG3ZY5/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":"2026-08-13T21:04:06Z","links":{"resolver":"https://pith.science/pith/E5V74G5TRO7OMGNYMBOLUG3ZY5","bundle":"https://pith.science/pith/E5V74G5TRO7OMGNYMBOLUG3ZY5/bundle.json","state":"https://pith.science/pith/E5V74G5TRO7OMGNYMBOLUG3ZY5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E5V74G5TRO7OMGNYMBOLUG3ZY5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:E5V74G5TRO7OMGNYMBOLUG3ZY5","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":"ec280f2fd2e4a539b728e07c447278177fd1853e02c35b7f5b1230a3f193a7b9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T14:40:46Z","title_canon_sha256":"4ffc20ea995f7caffeb3380c2bc1a5551d5a8dcaf4498e37f68a849613281a06"},"schema_version":"1.0","source":{"id":"2312.15742","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.15742","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"arxiv_version","alias_value":"2312.15742v1","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.15742","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"pith_short_12","alias_value":"E5V74G5TRO7O","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"pith_short_16","alias_value":"E5V74G5TRO7OMGNY","created_at":"2026-07-05T07:28:00Z"},{"alias_kind":"pith_short_8","alias_value":"E5V74G5T","created_at":"2026-07-05T07:28:00Z"}],"graph_snapshots":[{"event_id":"sha256:56b070580aa22d294bb8b8b28c7426f7d90ac0d0565fe7a765cc1369e24a890c","target":"graph","created_at":"2026-07-05T07:28:00Z","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/2312.15742/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vehicle-to-Everything (V2X) collaborative perception has recently gained significant attention due to its capability to enhance scene understanding by integrating information from various agents, e.g., vehicles, and infrastructure. However, current works often treat the information from each agent equally, ignoring the inherent domain gap caused by the utilization of different LiDAR sensors of each agent, thus leading to suboptimal performance. In this paper, we propose DI-V2X, that aims to learn Domain-Invariant representations through a new distillation framework to mitigate the domain discr","authors_text":"Cheng-zhong Xu, Jianbing Shen, Junbo Yin, Li Xiang, Ruigang Yang, Wei Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T14:40:46Z","title":"DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.15742","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:a5eb2cf29d2b3425a6fd2c227f51eddd2dc2a3f1233d31cb8fc7b1a20eb6c5dc","target":"record","created_at":"2026-07-05T07:28:00Z","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":"ec280f2fd2e4a539b728e07c447278177fd1853e02c35b7f5b1230a3f193a7b9","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-25T14:40:46Z","title_canon_sha256":"4ffc20ea995f7caffeb3380c2bc1a5551d5a8dcaf4498e37f68a849613281a06"},"schema_version":"1.0","source":{"id":"2312.15742","kind":"arxiv","version":1}},"canonical_sha256":"276bfe1bb38bbee619b8605cba1b79c744117b0393fd12e26503f42fb3411338","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"276bfe1bb38bbee619b8605cba1b79c744117b0393fd12e26503f42fb3411338","first_computed_at":"2026-07-05T07:28:00.579398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:28:00.579398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0ASbErTVLA78cDsKJHt6IZ09Wqg6+9oJc6Z5zmIURDwac7GqVyBzrkGDmIAwkSaDpDB0Vbw+0ip5+V/mr9VeDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:28:00.580019Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.15742","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a5eb2cf29d2b3425a6fd2c227f51eddd2dc2a3f1233d31cb8fc7b1a20eb6c5dc","sha256:56b070580aa22d294bb8b8b28c7426f7d90ac0d0565fe7a765cc1369e24a890c"],"state_sha256":"be40fc9a278b2041b7801ca87c15ca3b2c0db97f23a36160a36667f53f1e250e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JwMJ3W1s+ExMD6PLY0QdGt/6TB77xO6zAcL/jFuNA/hdjM0Qx1Pcbk998e5eAxhluRDIDJQyuXw8fbRm7XlGCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T21:04:06.380600Z","bundle_sha256":"b99c8313933d715adf53f2698b3185758d8ed219a57ba635d1094c038d3a6698"}}