{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:L4BDKGNUV33FGYHWGPCYCLPYVB","short_pith_number":"pith:L4BDKGNU","canonical_record":{"source":{"id":"2408.05452","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-10T06:13:37Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"f3cc1c25c2c2bdef508e4ac0180e33473a935618d75a02650317dc1948d64032","abstract_canon_sha256":"3d3eb4ec6f02295cd609ff8679b754844670b61a395d124290ee1b9edd8d164a"},"schema_version":"1.0"},"canonical_sha256":"5f023519b4aef65360f633c5812df8a8723fe21d7dfd43996f74699eb4dbb29c","source":{"kind":"arxiv","id":"2408.05452","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.05452","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"arxiv_version","alias_value":"2408.05452v1","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.05452","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"pith_short_12","alias_value":"L4BDKGNUV33F","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"pith_short_16","alias_value":"L4BDKGNUV33FGYHW","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"pith_short_8","alias_value":"L4BDKGNU","created_at":"2026-07-05T08:54:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:L4BDKGNUV33FGYHWGPCYCLPYVB","target":"record","payload":{"canonical_record":{"source":{"id":"2408.05452","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-10T06:13:37Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"f3cc1c25c2c2bdef508e4ac0180e33473a935618d75a02650317dc1948d64032","abstract_canon_sha256":"3d3eb4ec6f02295cd609ff8679b754844670b61a395d124290ee1b9edd8d164a"},"schema_version":"1.0"},"canonical_sha256":"5f023519b4aef65360f633c5812df8a8723fe21d7dfd43996f74699eb4dbb29c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:54:20.468117Z","signature_b64":"raecsdWwNxUbSKH3ISE5oyQMfA1lY4rdhfVJ8vIsTyUUjWGKDhFSkAaPPzlEGSSS73twzI0ui6FBqdwMDCUKDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f023519b4aef65360f633c5812df8a8723fe21d7dfd43996f74699eb4dbb29c","last_reissued_at":"2026-07-05T08:54:20.467770Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:54:20.467770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.05452","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":"2026-07-05T08:54:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JMfetMcECyiiC1wiGaUirvyq0MULGHsOsjJ+pOYynfYK+FSO2eoSLrmNREDQHJrQPUGPVxWf4NwLoOyB7sxRBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:27:13.167241Z"},"content_sha256":"2ef2250baee5f4547867a15a435548ae742bc00d30e372de0ea763632be6c35e","schema_version":"1.0","event_id":"sha256:2ef2250baee5f4547867a15a435548ae742bc00d30e372de0ea763632be6c35e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:L4BDKGNUV33FGYHWGPCYCLPYVB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Delei Kong, Hao Zhuang, Junjie Jiang, Xinjie Huang, Zheng Fang","submitted_at":"2024-08-10T06:13:37Z","abstract_excerpt":"Event cameras have the potential to revolutionize the field of robot vision, particularly in areas like stereo disparity estimation, owing to their high temporal resolution and high dynamic range. Many studies use deep learning for event camera stereo disparity estimation. However, these methods fail to fully exploit the temporal information in the event stream to acquire clear event representations. Additionally, there is room for further reduction in pixel shifts in the feature maps before constructing the cost volume. In this paper, we propose EV-MGDispNet, a novel event-based stereo dispar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.05452","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/2408.05452/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":"2026-07-05T08:54:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CUqeucBieYPfLd/ZVfjlapRg5TfuMu4IJAUgE3fmEeervEruvElr/dI5NantJnhFQwnUjLMkS8yr5GtKKV5YAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T10:27:13.168685Z"},"content_sha256":"b22bbeff58f7a781120f67815b86ca294e6ac51fb62f0555a3a1609b71150e2c","schema_version":"1.0","event_id":"sha256:b22bbeff58f7a781120f67815b86ca294e6ac51fb62f0555a3a1609b71150e2c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L4BDKGNUV33FGYHWGPCYCLPYVB/bundle.json","state_url":"https://pith.science/pith/L4BDKGNUV33FGYHWGPCYCLPYVB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L4BDKGNUV33FGYHWGPCYCLPYVB/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":"2026-08-13T10:27:13Z","links":{"resolver":"https://pith.science/pith/L4BDKGNUV33FGYHWGPCYCLPYVB","bundle":"https://pith.science/pith/L4BDKGNUV33FGYHWGPCYCLPYVB/bundle.json","state":"https://pith.science/pith/L4BDKGNUV33FGYHWGPCYCLPYVB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L4BDKGNUV33FGYHWGPCYCLPYVB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:L4BDKGNUV33FGYHWGPCYCLPYVB","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":"3d3eb4ec6f02295cd609ff8679b754844670b61a395d124290ee1b9edd8d164a","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-10T06:13:37Z","title_canon_sha256":"f3cc1c25c2c2bdef508e4ac0180e33473a935618d75a02650317dc1948d64032"},"schema_version":"1.0","source":{"id":"2408.05452","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.05452","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"arxiv_version","alias_value":"2408.05452v1","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.05452","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"pith_short_12","alias_value":"L4BDKGNUV33F","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"pith_short_16","alias_value":"L4BDKGNUV33FGYHW","created_at":"2026-07-05T08:54:20Z"},{"alias_kind":"pith_short_8","alias_value":"L4BDKGNU","created_at":"2026-07-05T08:54:20Z"}],"graph_snapshots":[{"event_id":"sha256:b22bbeff58f7a781120f67815b86ca294e6ac51fb62f0555a3a1609b71150e2c","target":"graph","created_at":"2026-07-05T08:54:20Z","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/2408.05452/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Event cameras have the potential to revolutionize the field of robot vision, particularly in areas like stereo disparity estimation, owing to their high temporal resolution and high dynamic range. Many studies use deep learning for event camera stereo disparity estimation. However, these methods fail to fully exploit the temporal information in the event stream to acquire clear event representations. Additionally, there is room for further reduction in pixel shifts in the feature maps before constructing the cost volume. In this paper, we propose EV-MGDispNet, a novel event-based stereo dispar","authors_text":"Delei Kong, Hao Zhuang, Junjie Jiang, Xinjie Huang, Zheng Fang","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-10T06:13:37Z","title":"EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.05452","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":"sha256:2ef2250baee5f4547867a15a435548ae742bc00d30e372de0ea763632be6c35e","target":"record","created_at":"2026-07-05T08:54:20Z","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":"3d3eb4ec6f02295cd609ff8679b754844670b61a395d124290ee1b9edd8d164a","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-10T06:13:37Z","title_canon_sha256":"f3cc1c25c2c2bdef508e4ac0180e33473a935618d75a02650317dc1948d64032"},"schema_version":"1.0","source":{"id":"2408.05452","kind":"arxiv","version":1}},"canonical_sha256":"5f023519b4aef65360f633c5812df8a8723fe21d7dfd43996f74699eb4dbb29c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f023519b4aef65360f633c5812df8a8723fe21d7dfd43996f74699eb4dbb29c","first_computed_at":"2026-07-05T08:54:20.467770Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:20.467770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"raecsdWwNxUbSKH3ISE5oyQMfA1lY4rdhfVJ8vIsTyUUjWGKDhFSkAaPPzlEGSSS73twzI0ui6FBqdwMDCUKDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:20.468117Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.05452","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ef2250baee5f4547867a15a435548ae742bc00d30e372de0ea763632be6c35e","sha256:b22bbeff58f7a781120f67815b86ca294e6ac51fb62f0555a3a1609b71150e2c"],"state_sha256":"b0df9507cb48d94750fd795990cd615659ac13f17dc4d83fffae071cbab37556"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1GyObqZNtGLCVWvS1ryv4j7v2rcpYRrsYCF38vqEscOeXHZy/DTtHPS+a8gofhBSfGtG0rz3C4Trq545bOaPDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T10:27:13.210355Z","bundle_sha256":"76d76f6d85c5c387d5ef2974572084b5bc851a852e08a1e840ee8d1ce952d378"}}