{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:L4LBC3TBXXZHR2BXV4GKJKJMRY","short_pith_number":"pith:L4LBC3TB","canonical_record":{"source":{"id":"2607.15727","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T08:04:43Z","cross_cats_sorted":[],"title_canon_sha256":"72ebd4d00921898a3f34e10f278ea3f6e4548a0bf7716372c4844ec88141acbc","abstract_canon_sha256":"ecea68333a6c9f0a27ff7004bf600741d7354990c50c92580721d3c40d9b58d5"},"schema_version":"1.0"},"canonical_sha256":"5f16116e61bdf278e837af0ca4a92c8e1c50d5789a25754c956eab7b305a06d9","source":{"kind":"arxiv","id":"2607.15727","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15727","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15727v1","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15727","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"pith_short_12","alias_value":"L4LBC3TBXXZH","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"pith_short_16","alias_value":"L4LBC3TBXXZHR2BX","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"pith_short_8","alias_value":"L4LBC3TB","created_at":"2026-07-20T01:19:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:L4LBC3TBXXZHR2BXV4GKJKJMRY","target":"record","payload":{"canonical_record":{"source":{"id":"2607.15727","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T08:04:43Z","cross_cats_sorted":[],"title_canon_sha256":"72ebd4d00921898a3f34e10f278ea3f6e4548a0bf7716372c4844ec88141acbc","abstract_canon_sha256":"ecea68333a6c9f0a27ff7004bf600741d7354990c50c92580721d3c40d9b58d5"},"schema_version":"1.0"},"canonical_sha256":"5f16116e61bdf278e837af0ca4a92c8e1c50d5789a25754c956eab7b305a06d9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-20T01:19:06.449779Z","signature_b64":"9Rqc127vMvbkA/lPHqzBDdbwDu6grpGhmS8NMXcfo5zF/fZucisclN+veyrKA/D5T9VVobDquJkE9iX7dgFQAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f16116e61bdf278e837af0ca4a92c8e1c50d5789a25754c956eab7b305a06d9","last_reissued_at":"2026-07-20T01:19:06.448884Z","signature_status":"signed_v1","first_computed_at":"2026-07-20T01:19:06.448884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.15727","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":"2026-07-20T01:19:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GIQajeCZcnolc22r1pTiq60TC3rsHZTmUD5KX8WdaAusnq6Ns7BLLahUM7wLMbMGK/IB07hC7Zqm/zej4EZjAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T21:12:41.912102Z"},"content_sha256":"ce4345ce08bac75bed697ffc5b3ec40696a83cc35123999e82f7615836e6a7cb","schema_version":"1.0","event_id":"sha256:ce4345ce08bac75bed697ffc5b3ec40696a83cc35123999e82f7615836e6a7cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:L4LBC3TBXXZHR2BXV4GKJKJMRY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Event3R: Asynchronous-to-Global 3D Reconstruction from Event Camera via Spatial-Temporal Feature Aggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chengrui Dong, Haotian Shen, Jian Huang, Peidong Liu, Wenpu Li, Xinhao Lou","submitted_at":"2026-07-17T08:04:43Z","abstract_excerpt":"Robust 3D reconstruction is essential for robotics and embodied perception. Recent feed-forward approaches such as DUSt3R have demonstrated impressive progress in dense 3D reconstruction from RGB images, achieving global geometric consistency and strong generalization. However, extending such dense 3D reconstruction to event cameras remains challenging due to their asynchronous, sparse, and highly dynamic nature, as well as the lack of large-scale, well-labeled datasets. In this work, we introduce Event3R, a feed-forward framework that directly maps asynchronous event streams to globally consi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15727","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/2607.15727/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":"2026-07-20T01:19:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9c6NUbpDhYY+5yCMm3iUwlJp63mIO+9e80NeSZb+Q1LrXzXtYqOdyM0lf70LVNUr6Sh2EqEMG2NK0CIA6/CrDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T21:12:41.912984Z"},"content_sha256":"897a118607fddfc5927649f044b8cd108108f0feb8104467f9d38b74f37bf25e","schema_version":"1.0","event_id":"sha256:897a118607fddfc5927649f044b8cd108108f0feb8104467f9d38b74f37bf25e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L4LBC3TBXXZHR2BXV4GKJKJMRY/bundle.json","state_url":"https://pith.science/pith/L4LBC3TBXXZHR2BXV4GKJKJMRY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L4LBC3TBXXZHR2BXV4GKJKJMRY/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":"2026-08-20T21:12:41Z","links":{"resolver":"https://pith.science/pith/L4LBC3TBXXZHR2BXV4GKJKJMRY","bundle":"https://pith.science/pith/L4LBC3TBXXZHR2BXV4GKJKJMRY/bundle.json","state":"https://pith.science/pith/L4LBC3TBXXZHR2BXV4GKJKJMRY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L4LBC3TBXXZHR2BXV4GKJKJMRY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:L4LBC3TBXXZHR2BXV4GKJKJMRY","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":"ecea68333a6c9f0a27ff7004bf600741d7354990c50c92580721d3c40d9b58d5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T08:04:43Z","title_canon_sha256":"72ebd4d00921898a3f34e10f278ea3f6e4548a0bf7716372c4844ec88141acbc"},"schema_version":"1.0","source":{"id":"2607.15727","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15727","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15727v1","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15727","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"pith_short_12","alias_value":"L4LBC3TBXXZH","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"pith_short_16","alias_value":"L4LBC3TBXXZHR2BX","created_at":"2026-07-20T01:19:06Z"},{"alias_kind":"pith_short_8","alias_value":"L4LBC3TB","created_at":"2026-07-20T01:19:06Z"}],"graph_snapshots":[{"event_id":"sha256:897a118607fddfc5927649f044b8cd108108f0feb8104467f9d38b74f37bf25e","target":"graph","created_at":"2026-07-20T01:19:06Z","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/2607.15727/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robust 3D reconstruction is essential for robotics and embodied perception. Recent feed-forward approaches such as DUSt3R have demonstrated impressive progress in dense 3D reconstruction from RGB images, achieving global geometric consistency and strong generalization. However, extending such dense 3D reconstruction to event cameras remains challenging due to their asynchronous, sparse, and highly dynamic nature, as well as the lack of large-scale, well-labeled datasets. In this work, we introduce Event3R, a feed-forward framework that directly maps asynchronous event streams to globally consi","authors_text":"Chengrui Dong, Haotian Shen, Jian Huang, Peidong Liu, Wenpu Li, Xinhao Lou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T08:04:43Z","title":"Event3R: Asynchronous-to-Global 3D Reconstruction from Event Camera via Spatial-Temporal Feature Aggregation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15727","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:ce4345ce08bac75bed697ffc5b3ec40696a83cc35123999e82f7615836e6a7cb","target":"record","created_at":"2026-07-20T01:19:06Z","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":"ecea68333a6c9f0a27ff7004bf600741d7354990c50c92580721d3c40d9b58d5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T08:04:43Z","title_canon_sha256":"72ebd4d00921898a3f34e10f278ea3f6e4548a0bf7716372c4844ec88141acbc"},"schema_version":"1.0","source":{"id":"2607.15727","kind":"arxiv","version":1}},"canonical_sha256":"5f16116e61bdf278e837af0ca4a92c8e1c50d5789a25754c956eab7b305a06d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f16116e61bdf278e837af0ca4a92c8e1c50d5789a25754c956eab7b305a06d9","first_computed_at":"2026-07-20T01:19:06.448884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-20T01:19:06.448884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9Rqc127vMvbkA/lPHqzBDdbwDu6grpGhmS8NMXcfo5zF/fZucisclN+veyrKA/D5T9VVobDquJkE9iX7dgFQAw==","signature_status":"signed_v1","signed_at":"2026-07-20T01:19:06.449779Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.15727","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce4345ce08bac75bed697ffc5b3ec40696a83cc35123999e82f7615836e6a7cb","sha256:897a118607fddfc5927649f044b8cd108108f0feb8104467f9d38b74f37bf25e"],"state_sha256":"a77f9bb88ac6f4d118b2ec8854e03e85d51909c86b7a140a3b024da21f77f372"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/VZUJl0+JMN4qDtAoB2m4EFgiEA28VxWouxkOep+VLH4vsgw97Mj8CQpV7rj3UWOjPKlyKaMBfzK0+f5izVBBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T21:12:41.919779Z","bundle_sha256":"ed138082e622d6d5b0c95fe81c79eff92bedd492dfe68ff2d93d0b4d8eed78ae"}}