{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UG32PR3XRPPWYUV2L5KEYGS4W2","short_pith_number":"pith:UG32PR3X","canonical_record":{"source":{"id":"2311.11013","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T08:48:58Z","cross_cats_sorted":[],"title_canon_sha256":"04062897eac62572e8f881c59f1d3491af0f088827e41e7ae16f557d86630a5d","abstract_canon_sha256":"68acd7e0d9b572e945bff01a60302b1af6b8e6266498f352f918f252781c3503"},"schema_version":"1.0"},"canonical_sha256":"a1b7a7c7778bdf6c52ba5f544c1a5cb6ab59517fe2ab876c96633d91e063e3bc","source":{"kind":"arxiv","id":"2311.11013","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11013","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11013v3","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11013","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"pith_short_12","alias_value":"UG32PR3XRPPW","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"pith_short_16","alias_value":"UG32PR3XRPPWYUV2","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"pith_short_8","alias_value":"UG32PR3X","created_at":"2026-07-05T07:56:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UG32PR3XRPPWYUV2L5KEYGS4W2","target":"record","payload":{"canonical_record":{"source":{"id":"2311.11013","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T08:48:58Z","cross_cats_sorted":[],"title_canon_sha256":"04062897eac62572e8f881c59f1d3491af0f088827e41e7ae16f557d86630a5d","abstract_canon_sha256":"68acd7e0d9b572e945bff01a60302b1af6b8e6266498f352f918f252781c3503"},"schema_version":"1.0"},"canonical_sha256":"a1b7a7c7778bdf6c52ba5f544c1a5cb6ab59517fe2ab876c96633d91e063e3bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:56:56.548821Z","signature_b64":"OJo8YvwpHhOX3Ws0i6qXm7l1WwLEuX/ZxkAnA4btytO/U30VIE4ISO8eneAvvupZShvMsYH6TfSA5Las3t66Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1b7a7c7778bdf6c52ba5f544c1a5cb6ab59517fe2ab876c96633d91e063e3bc","last_reissued_at":"2026-07-05T07:56:56.548358Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:56:56.548358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.11013","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:56:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uL2iLoggvI/zJ41mM5ZBJxJtpH+/RNVkWTwmqxb91ohzpPpqKvxp/txrioBHiXFlARuuKi8iDP1678WL0WDuDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:58:11.051339Z"},"content_sha256":"e88dcb7810a774e96a3bca7edd8cf173ec1b2aa2577a28aa10ff2e25dac1e7d5","schema_version":"1.0","event_id":"sha256:e88dcb7810a774e96a3bca7edd8cf173ec1b2aa2577a28aa10ff2e25dac1e7d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UG32PR3XRPPWYUV2L5KEYGS4W2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Implicit Event-RGBD Neural SLAM","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bin Zhao, Chi Yan, Dan Xu, Delin Qu, Dong Wang, Jie Yin, Xuelong Li","submitted_at":"2023-11-18T08:48:58Z","abstract_excerpt":"Implicit neural SLAM has achieved remarkable progress recently. Nevertheless, existing methods face significant challenges in non-ideal scenarios, such as motion blur or lighting variation, which often leads to issues like convergence failures, localization drifts, and distorted mapping. To address these challenges, we propose EN-SLAM, the first event-RGBD implicit neural SLAM framework, which effectively leverages the high rate and high dynamic range advantages of event data for tracking and mapping. Specifically, EN-SLAM proposes a differentiable CRF (Camera Response Function) rendering tech"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11013","kind":"arxiv","version":3},"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/2311.11013/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":"2026-07-05T07:56:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xwHjNcGom+Vt1NCrQwH+BZShsgz3s2YhJCZcVMAvBy+pdmzoipBMfUKDW8j/80uKNEIbGGsjvlbFS5PjhUAuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:58:11.052000Z"},"content_sha256":"7ceede70501b71a9db47f26c6a881ff59a893fda43e8c4baabdf833fd71ccff1","schema_version":"1.0","event_id":"sha256:7ceede70501b71a9db47f26c6a881ff59a893fda43e8c4baabdf833fd71ccff1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UG32PR3XRPPWYUV2L5KEYGS4W2/bundle.json","state_url":"https://pith.science/pith/UG32PR3XRPPWYUV2L5KEYGS4W2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UG32PR3XRPPWYUV2L5KEYGS4W2/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":"2026-07-09T05:58:11Z","links":{"resolver":"https://pith.science/pith/UG32PR3XRPPWYUV2L5KEYGS4W2","bundle":"https://pith.science/pith/UG32PR3XRPPWYUV2L5KEYGS4W2/bundle.json","state":"https://pith.science/pith/UG32PR3XRPPWYUV2L5KEYGS4W2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UG32PR3XRPPWYUV2L5KEYGS4W2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UG32PR3XRPPWYUV2L5KEYGS4W2","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":"68acd7e0d9b572e945bff01a60302b1af6b8e6266498f352f918f252781c3503","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T08:48:58Z","title_canon_sha256":"04062897eac62572e8f881c59f1d3491af0f088827e41e7ae16f557d86630a5d"},"schema_version":"1.0","source":{"id":"2311.11013","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.11013","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"arxiv_version","alias_value":"2311.11013v3","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.11013","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"pith_short_12","alias_value":"UG32PR3XRPPW","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"pith_short_16","alias_value":"UG32PR3XRPPWYUV2","created_at":"2026-07-05T07:56:56Z"},{"alias_kind":"pith_short_8","alias_value":"UG32PR3X","created_at":"2026-07-05T07:56:56Z"}],"graph_snapshots":[{"event_id":"sha256:7ceede70501b71a9db47f26c6a881ff59a893fda43e8c4baabdf833fd71ccff1","target":"graph","created_at":"2026-07-05T07:56:56Z","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/2311.11013/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Implicit neural SLAM has achieved remarkable progress recently. Nevertheless, existing methods face significant challenges in non-ideal scenarios, such as motion blur or lighting variation, which often leads to issues like convergence failures, localization drifts, and distorted mapping. To address these challenges, we propose EN-SLAM, the first event-RGBD implicit neural SLAM framework, which effectively leverages the high rate and high dynamic range advantages of event data for tracking and mapping. Specifically, EN-SLAM proposes a differentiable CRF (Camera Response Function) rendering tech","authors_text":"Bin Zhao, Chi Yan, Dan Xu, Delin Qu, Dong Wang, Jie Yin, Xuelong Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T08:48:58Z","title":"Implicit Event-RGBD Neural SLAM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.11013","kind":"arxiv","version":3},"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:e88dcb7810a774e96a3bca7edd8cf173ec1b2aa2577a28aa10ff2e25dac1e7d5","target":"record","created_at":"2026-07-05T07:56:56Z","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":"68acd7e0d9b572e945bff01a60302b1af6b8e6266498f352f918f252781c3503","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-11-18T08:48:58Z","title_canon_sha256":"04062897eac62572e8f881c59f1d3491af0f088827e41e7ae16f557d86630a5d"},"schema_version":"1.0","source":{"id":"2311.11013","kind":"arxiv","version":3}},"canonical_sha256":"a1b7a7c7778bdf6c52ba5f544c1a5cb6ab59517fe2ab876c96633d91e063e3bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1b7a7c7778bdf6c52ba5f544c1a5cb6ab59517fe2ab876c96633d91e063e3bc","first_computed_at":"2026-07-05T07:56:56.548358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:56:56.548358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OJo8YvwpHhOX3Ws0i6qXm7l1WwLEuX/ZxkAnA4btytO/U30VIE4ISO8eneAvvupZShvMsYH6TfSA5Las3t66Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:56:56.548821Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.11013","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e88dcb7810a774e96a3bca7edd8cf173ec1b2aa2577a28aa10ff2e25dac1e7d5","sha256:7ceede70501b71a9db47f26c6a881ff59a893fda43e8c4baabdf833fd71ccff1"],"state_sha256":"2f3b9d1831d0ebe768b409f7ccad4da0cd05f6a95b2e6f715466ab1b4099cd71"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3PAhm796W+HvT/DZLl41iaMxj/uSH8xK8V47YotJmn27zKk/iKym9MYi0PWNgUMdjB2yxgtbCH6A7RCfAzWsBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:58:11.056174Z","bundle_sha256":"e925f5b9d310f2d30a3e462311171d5ef8025913ce4e38e2f4b4080ec2e80d50"}}