{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XV5CHWPWVTGOUNMOYZYVBH5CJM","short_pith_number":"pith:XV5CHWPW","canonical_record":{"source":{"id":"2502.19660","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-27T01:04:23Z","cross_cats_sorted":[],"title_canon_sha256":"562379aa62a50a421b6fe909b3f73fb2bb9241647e05f52bcc607fac51a01399","abstract_canon_sha256":"609caec7eac9bdc4de5b747d57c3a4827587fe73168e0bab60873695b29e0c1d"},"schema_version":"1.0"},"canonical_sha256":"bd7a23d9f6acccea358ec671509fa24b11c020a25ec4b96317d0b07dd9fc79ee","source":{"kind":"arxiv","id":"2502.19660","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.19660","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"arxiv_version","alias_value":"2502.19660v2","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19660","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_12","alias_value":"XV5CHWPWVTGO","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_16","alias_value":"XV5CHWPWVTGOUNMO","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_8","alias_value":"XV5CHWPW","created_at":"2026-07-05T10:25:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XV5CHWPWVTGOUNMOYZYVBH5CJM","target":"record","payload":{"canonical_record":{"source":{"id":"2502.19660","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-27T01:04:23Z","cross_cats_sorted":[],"title_canon_sha256":"562379aa62a50a421b6fe909b3f73fb2bb9241647e05f52bcc607fac51a01399","abstract_canon_sha256":"609caec7eac9bdc4de5b747d57c3a4827587fe73168e0bab60873695b29e0c1d"},"schema_version":"1.0"},"canonical_sha256":"bd7a23d9f6acccea358ec671509fa24b11c020a25ec4b96317d0b07dd9fc79ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:25:18.638673Z","signature_b64":"va6RSl1+zT/10QPvZyxSp3kmMaOhOiuoyMZCdexfCgedtLUq8k+ZEDSVWTWnT8ZsSQQ4iFqU0X72J++lkzH5Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bd7a23d9f6acccea358ec671509fa24b11c020a25ec4b96317d0b07dd9fc79ee","last_reissued_at":"2026-07-05T10:25:18.638017Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:25:18.638017Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.19660","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":"2026-07-05T10:25:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EpaqN9QocaTBKMGA9YNP/u31NAaOMaGQpOVNaLsVgvgXuHdiumsG+dyWp5xwCucUlqUEEkXu4BkyYVGM5syfDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:57:51.767223Z"},"content_sha256":"226c7d779a98b0f4027673d9075e1935e27acee50af080f929d9501f67836062","schema_version":"1.0","event_id":"sha256:226c7d779a98b0f4027673d9075e1935e27acee50af080f929d9501f67836062"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XV5CHWPWVTGOUNMOYZYVBH5CJM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jialin Zhang, Jun Wang, Kaijun Zhang, Qiaoyun Wu, Zikuan Li","submitted_at":"2025-02-27T01:04:23Z","abstract_excerpt":"Spiking neural networks (SNNs), inspired by the spiking computation paradigm of the biological neural systems, have exhibited superior energy efficiency in 2D classification tasks over traditional artificial neural networks (ANNs). However, the regression potential of SNNs has not been well explored, especially in 3D point cloud processing. In this paper, we propose noise-injected spiking graph convolutional networks to leverage the full regression potential of SNNs in 3D point cloud denoising. Specifically, we first emulate the noise-injected neuronal dynamics to build noise-injected spiking "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19660","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/2502.19660/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":"2026-07-05T10:25:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"76eJTmZP9tL+hBllzBv5heh2NvEICWTyS4GgHjbm2nfcyP6V6EcDPUonJQ/pFkBaoHk2sy1T90MVMMX1rqABCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:57:51.767706Z"},"content_sha256":"898d93d6e13455b9ae0856a1a6026f9d9da4e4a713d2b685e34551fa1136ddc8","schema_version":"1.0","event_id":"sha256:898d93d6e13455b9ae0856a1a6026f9d9da4e4a713d2b685e34551fa1136ddc8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XV5CHWPWVTGOUNMOYZYVBH5CJM/bundle.json","state_url":"https://pith.science/pith/XV5CHWPWVTGOUNMOYZYVBH5CJM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XV5CHWPWVTGOUNMOYZYVBH5CJM/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":"2026-08-05T09:57:51Z","links":{"resolver":"https://pith.science/pith/XV5CHWPWVTGOUNMOYZYVBH5CJM","bundle":"https://pith.science/pith/XV5CHWPWVTGOUNMOYZYVBH5CJM/bundle.json","state":"https://pith.science/pith/XV5CHWPWVTGOUNMOYZYVBH5CJM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XV5CHWPWVTGOUNMOYZYVBH5CJM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XV5CHWPWVTGOUNMOYZYVBH5CJM","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":"609caec7eac9bdc4de5b747d57c3a4827587fe73168e0bab60873695b29e0c1d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-27T01:04:23Z","title_canon_sha256":"562379aa62a50a421b6fe909b3f73fb2bb9241647e05f52bcc607fac51a01399"},"schema_version":"1.0","source":{"id":"2502.19660","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.19660","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"arxiv_version","alias_value":"2502.19660v2","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.19660","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_12","alias_value":"XV5CHWPWVTGO","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_16","alias_value":"XV5CHWPWVTGOUNMO","created_at":"2026-07-05T10:25:18Z"},{"alias_kind":"pith_short_8","alias_value":"XV5CHWPW","created_at":"2026-07-05T10:25:18Z"}],"graph_snapshots":[{"event_id":"sha256:898d93d6e13455b9ae0856a1a6026f9d9da4e4a713d2b685e34551fa1136ddc8","target":"graph","created_at":"2026-07-05T10:25:18Z","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/2502.19660/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Spiking neural networks (SNNs), inspired by the spiking computation paradigm of the biological neural systems, have exhibited superior energy efficiency in 2D classification tasks over traditional artificial neural networks (ANNs). However, the regression potential of SNNs has not been well explored, especially in 3D point cloud processing. In this paper, we propose noise-injected spiking graph convolutional networks to leverage the full regression potential of SNNs in 3D point cloud denoising. Specifically, we first emulate the noise-injected neuronal dynamics to build noise-injected spiking ","authors_text":"Jialin Zhang, Jun Wang, Kaijun Zhang, Qiaoyun Wu, Zikuan Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-27T01:04:23Z","title":"Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.19660","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":"sha256:226c7d779a98b0f4027673d9075e1935e27acee50af080f929d9501f67836062","target":"record","created_at":"2026-07-05T10:25:18Z","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":"609caec7eac9bdc4de5b747d57c3a4827587fe73168e0bab60873695b29e0c1d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-27T01:04:23Z","title_canon_sha256":"562379aa62a50a421b6fe909b3f73fb2bb9241647e05f52bcc607fac51a01399"},"schema_version":"1.0","source":{"id":"2502.19660","kind":"arxiv","version":2}},"canonical_sha256":"bd7a23d9f6acccea358ec671509fa24b11c020a25ec4b96317d0b07dd9fc79ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd7a23d9f6acccea358ec671509fa24b11c020a25ec4b96317d0b07dd9fc79ee","first_computed_at":"2026-07-05T10:25:18.638017Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:25:18.638017Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"va6RSl1+zT/10QPvZyxSp3kmMaOhOiuoyMZCdexfCgedtLUq8k+ZEDSVWTWnT8ZsSQQ4iFqU0X72J++lkzH5Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:25:18.638673Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.19660","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:226c7d779a98b0f4027673d9075e1935e27acee50af080f929d9501f67836062","sha256:898d93d6e13455b9ae0856a1a6026f9d9da4e4a713d2b685e34551fa1136ddc8"],"state_sha256":"78cc3bfdb1a1a5c574ad0803f14a06cdf14be65020696a23cea13b9f4355de8d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RjcVmMYUCw3jc4i1v8FRwCD625szAhRK2iqMGvWHHPtLfzGGx/ZanT56rsYjad+ErpkVIrUNjHQd2IWazV8WAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:57:51.770908Z","bundle_sha256":"7e6e667529277213d47d7149c9c08e6b3e6fa45410eaf8c474c56913ba20d151"}}