{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT","short_pith_number":"pith:SK4Y2Z7Q","canonical_record":{"source":{"id":"2405.06277","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-10T07:19:58Z","cross_cats_sorted":[],"title_canon_sha256":"6d4f1f8d2090ffdb14b6c054da8d1b6a32c07dc29982a739bb14daf906d7d99a","abstract_canon_sha256":"967b254432aa6b96522922623c499000acd39171b5ba24b8bb0260d8cd3684bb"},"schema_version":"1.0"},"canonical_sha256":"92b98d67f0e3623515875e037de3cc04e1f79cd4ace129d726fe3d655c2b880e","source":{"kind":"arxiv","id":"2405.06277","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.06277","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"arxiv_version","alias_value":"2405.06277v1","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.06277","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"pith_short_12","alias_value":"SK4Y2Z7Q4NRD","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"pith_short_16","alias_value":"SK4Y2Z7Q4NRDKFMH","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"pith_short_8","alias_value":"SK4Y2Z7Q","created_at":"2026-07-05T08:17:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT","target":"record","payload":{"canonical_record":{"source":{"id":"2405.06277","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-10T07:19:58Z","cross_cats_sorted":[],"title_canon_sha256":"6d4f1f8d2090ffdb14b6c054da8d1b6a32c07dc29982a739bb14daf906d7d99a","abstract_canon_sha256":"967b254432aa6b96522922623c499000acd39171b5ba24b8bb0260d8cd3684bb"},"schema_version":"1.0"},"canonical_sha256":"92b98d67f0e3623515875e037de3cc04e1f79cd4ace129d726fe3d655c2b880e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:17:38.367643Z","signature_b64":"xYztESln6qqEUJWjxCeYO6NtB3IBYz05QaHsbIu879C+SSlITFKxNXm2bPOpyy1qsqfG3Tffv5ZSCjcaAgeABw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92b98d67f0e3623515875e037de3cc04e1f79cd4ace129d726fe3d655c2b880e","last_reissued_at":"2026-07-05T08:17:38.367143Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:17:38.367143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.06277","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":"2026-07-05T08:17:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LTsxrXMZNoeY8SWgwUJBIiMH9I1/YZ3onb+rzDcK9QpRwHEeyTTVX9j5HwIXMtXXVQvRt8d3sncIHxjrfJOqAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:43:48.996208Z"},"content_sha256":"d35cf09d94559e7815b959a7d3fbb72bf97172f315b27302f1f39a0dc9dd653e","schema_version":"1.0","event_id":"sha256:d35cf09d94559e7815b959a7d3fbb72bf97172f315b27302f1f39a0dc9dd653e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning A Spiking Neural Network for Efficient Image Deraining","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guiyue Jin, Jiyu Jin, Kui Jiang, Pengpeng Li, Tianyu Song, Xiang Chen","submitted_at":"2024-05-10T07:19:58Z","abstract_excerpt":"Recently, spiking neural networks (SNNs) have demonstrated substantial potential in computer vision tasks. In this paper, we present an Efficient Spiking Deraining Network, called ESDNet. Our work is motivated by the observation that rain pixel values will lead to a more pronounced intensity of spike signals in SNNs. However, directly applying deep SNNs to image deraining task still remains a significant challenge. This is attributed to the information loss and training difficulties that arise from discrete binary activation and complex spatio-temporal dynamics. To this end, we develop a spiki"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.06277","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/2405.06277/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":"2026-07-05T08:17:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5+xR5zrYi2dCsTuL93FEIUECxwqyGWypaRc2DIh+uf6hxpgHlsIEkUl84BJOfgGJ1nGLyDn3S4UXW/Kzj91zAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:43:48.996957Z"},"content_sha256":"fe8daf4c543e4918e00c5234c0dc43608600d6e30f554d7a993efcdd1882df64","schema_version":"1.0","event_id":"sha256:fe8daf4c543e4918e00c5234c0dc43608600d6e30f554d7a993efcdd1882df64"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT/bundle.json","state_url":"https://pith.science/pith/SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT/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":"2026-08-14T15:43:48Z","links":{"resolver":"https://pith.science/pith/SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT","bundle":"https://pith.science/pith/SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT/bundle.json","state":"https://pith.science/pith/SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SK4Y2Z7Q4NRDKFMHLYBX3Y6MAT","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":"967b254432aa6b96522922623c499000acd39171b5ba24b8bb0260d8cd3684bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-10T07:19:58Z","title_canon_sha256":"6d4f1f8d2090ffdb14b6c054da8d1b6a32c07dc29982a739bb14daf906d7d99a"},"schema_version":"1.0","source":{"id":"2405.06277","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.06277","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"arxiv_version","alias_value":"2405.06277v1","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.06277","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"pith_short_12","alias_value":"SK4Y2Z7Q4NRD","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"pith_short_16","alias_value":"SK4Y2Z7Q4NRDKFMH","created_at":"2026-07-05T08:17:38Z"},{"alias_kind":"pith_short_8","alias_value":"SK4Y2Z7Q","created_at":"2026-07-05T08:17:38Z"}],"graph_snapshots":[{"event_id":"sha256:fe8daf4c543e4918e00c5234c0dc43608600d6e30f554d7a993efcdd1882df64","target":"graph","created_at":"2026-07-05T08:17:38Z","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/2405.06277/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, spiking neural networks (SNNs) have demonstrated substantial potential in computer vision tasks. In this paper, we present an Efficient Spiking Deraining Network, called ESDNet. Our work is motivated by the observation that rain pixel values will lead to a more pronounced intensity of spike signals in SNNs. However, directly applying deep SNNs to image deraining task still remains a significant challenge. This is attributed to the information loss and training difficulties that arise from discrete binary activation and complex spatio-temporal dynamics. To this end, we develop a spiki","authors_text":"Guiyue Jin, Jiyu Jin, Kui Jiang, Pengpeng Li, Tianyu Song, Xiang Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-10T07:19:58Z","title":"Learning A Spiking Neural Network for Efficient Image Deraining"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.06277","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:d35cf09d94559e7815b959a7d3fbb72bf97172f315b27302f1f39a0dc9dd653e","target":"record","created_at":"2026-07-05T08:17:38Z","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":"967b254432aa6b96522922623c499000acd39171b5ba24b8bb0260d8cd3684bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-10T07:19:58Z","title_canon_sha256":"6d4f1f8d2090ffdb14b6c054da8d1b6a32c07dc29982a739bb14daf906d7d99a"},"schema_version":"1.0","source":{"id":"2405.06277","kind":"arxiv","version":1}},"canonical_sha256":"92b98d67f0e3623515875e037de3cc04e1f79cd4ace129d726fe3d655c2b880e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92b98d67f0e3623515875e037de3cc04e1f79cd4ace129d726fe3d655c2b880e","first_computed_at":"2026-07-05T08:17:38.367143Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:17:38.367143Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xYztESln6qqEUJWjxCeYO6NtB3IBYz05QaHsbIu879C+SSlITFKxNXm2bPOpyy1qsqfG3Tffv5ZSCjcaAgeABw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:17:38.367643Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.06277","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d35cf09d94559e7815b959a7d3fbb72bf97172f315b27302f1f39a0dc9dd653e","sha256:fe8daf4c543e4918e00c5234c0dc43608600d6e30f554d7a993efcdd1882df64"],"state_sha256":"d35032ac8cc0b506c5ff0837bcc452c3bea9a9a1a2be82656b62a763ec65b80b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KMWbfDglPCkx7PNoV0z9PpD7KMiBJ42xkx/f8vUDhmGcMpjEkql/VKotDTXvWVL3z9LoIMx0mJtQutCpOMFkDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T15:43:49.002701Z","bundle_sha256":"99187c1fe7bc70ad3d87fdd3bf28a9244f7425f85feb6e7b85db7fc75a7c1848"}}