{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TMT72YGYQ7MXU43OPF52LG53VP","short_pith_number":"pith:TMT72YGY","canonical_record":{"source":{"id":"2111.12341","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-24T08:48:16Z","cross_cats_sorted":[],"title_canon_sha256":"41cb02c5ecb5f56b4cd13af9c1687581582f1645c16c427e619075da40786905","abstract_canon_sha256":"4fca1adc68cab4d26b720b243e8767aa8c385b7cfc8d3202ff4ceb9eea1b60f1"},"schema_version":"1.0"},"canonical_sha256":"9b27fd60d887d97a736e797ba59bbbabe48b3526968782098a590df887c033f1","source":{"kind":"arxiv","id":"2111.12341","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.12341","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"arxiv_version","alias_value":"2111.12341v1","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.12341","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"pith_short_12","alias_value":"TMT72YGYQ7MX","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"pith_short_16","alias_value":"TMT72YGYQ7MXU43O","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"pith_short_8","alias_value":"TMT72YGY","created_at":"2026-07-05T03:34:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TMT72YGYQ7MXU43OPF52LG53VP","target":"record","payload":{"canonical_record":{"source":{"id":"2111.12341","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-24T08:48:16Z","cross_cats_sorted":[],"title_canon_sha256":"41cb02c5ecb5f56b4cd13af9c1687581582f1645c16c427e619075da40786905","abstract_canon_sha256":"4fca1adc68cab4d26b720b243e8767aa8c385b7cfc8d3202ff4ceb9eea1b60f1"},"schema_version":"1.0"},"canonical_sha256":"9b27fd60d887d97a736e797ba59bbbabe48b3526968782098a590df887c033f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:34:50.832262Z","signature_b64":"b6bqN9FgQP/KVrqBegs1M3aiED6qcPoqvyr/gqVilpn7Q2EwYw6vqqnbSvT7TqOmnE1xoTY33eF2j4L0jCAwAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b27fd60d887d97a736e797ba59bbbabe48b3526968782098a590df887c033f1","last_reissued_at":"2026-07-05T03:34:50.831723Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:34:50.831723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.12341","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":"2026-07-05T03:34:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C+Pr7QtB+bJP7I0MmNZMVbiQFQI+Z30mFGxMCKE0onoRQdZvcX/wSmI0AvjfzPC+lPXhnIuRthzEbkj+TyMXBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:29:34.007798Z"},"content_sha256":"f1a04bc210f7ed987d73f2c801c743b2a7e43f9b694e14e9b9d1feea396f9374","schema_version":"1.0","event_id":"sha256:f1a04bc210f7ed987d73f2c801c743b2a7e43f9b694e14e9b9d1feea396f9374"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TMT72YGYQ7MXU43OPF52LG53VP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kuk-Jin Yoon, Lin Wang, Sung-Hoon Yoon, Tae-Kyun Kim, Yujeong Chae","submitted_at":"2021-11-24T08:48:16Z","abstract_excerpt":"Event cameras sense per-pixel intensity changes and produce asynchronous event streams with high dynamic range and less motion blur, showing advantages over conventional cameras. A hurdle of training event-based models is the lack of large qualitative labeled data. Prior works learning end-tasks mostly rely on labeled or pseudo-labeled datasets obtained from the active pixel sensor (APS) frames; however, such datasets' quality is far from rivaling those based on the canonical images. In this paper, we propose a novel approach, called \\textbf{EvDistill}, to learn a student network on the unlabe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.12341","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/2111.12341/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":"2026-07-05T03:34:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xaU/MJfN3BNK+pZQ7tCvhk/xJZmnlJJakKx16r8ith7Hz0/z0sX0UiBkYk0uKIT+tsUfZZDmHBSzsCKMVIF2CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T20:29:34.008819Z"},"content_sha256":"9114786a19d12966cd78945eb30ce54ed8b281b996785eb595a00b87b0a15dfe","schema_version":"1.0","event_id":"sha256:9114786a19d12966cd78945eb30ce54ed8b281b996785eb595a00b87b0a15dfe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TMT72YGYQ7MXU43OPF52LG53VP/bundle.json","state_url":"https://pith.science/pith/TMT72YGYQ7MXU43OPF52LG53VP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TMT72YGYQ7MXU43OPF52LG53VP/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":"2026-08-13T20:29:34Z","links":{"resolver":"https://pith.science/pith/TMT72YGYQ7MXU43OPF52LG53VP","bundle":"https://pith.science/pith/TMT72YGYQ7MXU43OPF52LG53VP/bundle.json","state":"https://pith.science/pith/TMT72YGYQ7MXU43OPF52LG53VP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TMT72YGYQ7MXU43OPF52LG53VP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TMT72YGYQ7MXU43OPF52LG53VP","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":"4fca1adc68cab4d26b720b243e8767aa8c385b7cfc8d3202ff4ceb9eea1b60f1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-24T08:48:16Z","title_canon_sha256":"41cb02c5ecb5f56b4cd13af9c1687581582f1645c16c427e619075da40786905"},"schema_version":"1.0","source":{"id":"2111.12341","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.12341","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"arxiv_version","alias_value":"2111.12341v1","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.12341","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"pith_short_12","alias_value":"TMT72YGYQ7MX","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"pith_short_16","alias_value":"TMT72YGYQ7MXU43O","created_at":"2026-07-05T03:34:50Z"},{"alias_kind":"pith_short_8","alias_value":"TMT72YGY","created_at":"2026-07-05T03:34:50Z"}],"graph_snapshots":[{"event_id":"sha256:9114786a19d12966cd78945eb30ce54ed8b281b996785eb595a00b87b0a15dfe","target":"graph","created_at":"2026-07-05T03:34:50Z","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/2111.12341/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Event cameras sense per-pixel intensity changes and produce asynchronous event streams with high dynamic range and less motion blur, showing advantages over conventional cameras. A hurdle of training event-based models is the lack of large qualitative labeled data. Prior works learning end-tasks mostly rely on labeled or pseudo-labeled datasets obtained from the active pixel sensor (APS) frames; however, such datasets' quality is far from rivaling those based on the canonical images. In this paper, we propose a novel approach, called \\textbf{EvDistill}, to learn a student network on the unlabe","authors_text":"Kuk-Jin Yoon, Lin Wang, Sung-Hoon Yoon, Tae-Kyun Kim, Yujeong Chae","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-24T08:48:16Z","title":"EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.12341","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:f1a04bc210f7ed987d73f2c801c743b2a7e43f9b694e14e9b9d1feea396f9374","target":"record","created_at":"2026-07-05T03:34:50Z","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":"4fca1adc68cab4d26b720b243e8767aa8c385b7cfc8d3202ff4ceb9eea1b60f1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-24T08:48:16Z","title_canon_sha256":"41cb02c5ecb5f56b4cd13af9c1687581582f1645c16c427e619075da40786905"},"schema_version":"1.0","source":{"id":"2111.12341","kind":"arxiv","version":1}},"canonical_sha256":"9b27fd60d887d97a736e797ba59bbbabe48b3526968782098a590df887c033f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9b27fd60d887d97a736e797ba59bbbabe48b3526968782098a590df887c033f1","first_computed_at":"2026-07-05T03:34:50.831723Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:34:50.831723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b6bqN9FgQP/KVrqBegs1M3aiED6qcPoqvyr/gqVilpn7Q2EwYw6vqqnbSvT7TqOmnE1xoTY33eF2j4L0jCAwAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:34:50.832262Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.12341","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1a04bc210f7ed987d73f2c801c743b2a7e43f9b694e14e9b9d1feea396f9374","sha256:9114786a19d12966cd78945eb30ce54ed8b281b996785eb595a00b87b0a15dfe"],"state_sha256":"66e4df44f379e1f2e1d1612c41224ccccf69ebf8105b6042750ab0fc1ecbe78c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f7Ka9L5COWJnd18cC84WkzCqj7IBK7UaJe3NCtGSbJoW4JAURfKZ8FuAN9qzrkdkTOlIaKX5M4b5xKP49dgnDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T20:29:34.029515Z","bundle_sha256":"02de7db99be9bdf497320a8340ed653cb37cabc2378223333ab8a0c8c8ad1b6c"}}