{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:7XIHZLZ2YOFFL7JUFYFIDRHARO","short_pith_number":"pith:7XIHZLZ2","canonical_record":{"source":{"id":"1809.01633","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T17:19:07Z","cross_cats_sorted":[],"title_canon_sha256":"0f5a237f0eef5ec69122ec18ebe3f4cd079cb9e364b61035706ddc89442ffcf8","abstract_canon_sha256":"4b5d283c4f2c2c0c22854c38123857d375e0459c0a39706433434606cd6c45fc"},"schema_version":"1.0"},"canonical_sha256":"fdd07caf3ac38a55fd342e0a81c4e08b997d4ace656f39a6e1ea6a977097d603","source":{"kind":"arxiv","id":"1809.01633","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01633","created_at":"2026-05-18T00:06:27Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01633v1","created_at":"2026-05-18T00:06:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01633","created_at":"2026-05-18T00:06:27Z"},{"alias_kind":"pith_short_12","alias_value":"7XIHZLZ2YOFF","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7XIHZLZ2YOFFL7JU","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7XIHZLZ2","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:7XIHZLZ2YOFFL7JUFYFIDRHARO","target":"record","payload":{"canonical_record":{"source":{"id":"1809.01633","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T17:19:07Z","cross_cats_sorted":[],"title_canon_sha256":"0f5a237f0eef5ec69122ec18ebe3f4cd079cb9e364b61035706ddc89442ffcf8","abstract_canon_sha256":"4b5d283c4f2c2c0c22854c38123857d375e0459c0a39706433434606cd6c45fc"},"schema_version":"1.0"},"canonical_sha256":"fdd07caf3ac38a55fd342e0a81c4e08b997d4ace656f39a6e1ea6a977097d603","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:27.012288Z","signature_b64":"+g3qjYIa3P95AYqFdVpFjLw6R0/LCx4do2BpUSl2Kitj2SNpFQUvKFe5BivcgFDo/OuMqdlRrbh+43XXiACWDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fdd07caf3ac38a55fd342e0a81c4e08b997d4ace656f39a6e1ea6a977097d603","last_reissued_at":"2026-05-18T00:06:27.011653Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:27.011653Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.01633","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":"2026-05-18T00:06:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N8riej/tyHOKR2i5LJYbWpG4nX70nVMLJeLDbfawaNQyY7jCTvBNgrliyBM3YJuzJMxw37Ey3hvkZdvHGWbbAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:59:49.145277Z"},"content_sha256":"359f6d09ecc5baecc0121bcce84c37af48f21675ba6606b07d8d634c4a36b31c","schema_version":"1.0","event_id":"sha256:359f6d09ecc5baecc0121bcce84c37af48f21675ba6606b07d8d634c4a36b31c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:7XIHZLZ2YOFFL7JUFYFIDRHARO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Efficient Egocentric Visual Perception Combining Eye-tracking, a Software Retina and Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jan Paul Siebert, Nina Hristozova, Piotr Ozimek","submitted_at":"2018-09-05T17:19:07Z","abstract_excerpt":"We present ongoing work to harness biological approaches to achieving highly efficient egocentric perception by combining the space-variant imaging architecture of the mammalian retina with Deep Learning methods. By pre-processing images collected by means of eye-tracking glasses to control the fixation locations of a software retina model, we demonstrate that we can reduce the input to a DCNN by a factor of 3, reduce the required number of training epochs and obtain over 98% classification rates when training and validating the system on a database of over 26,000 images of 9 object classes."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01633","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":""},"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":"2026-05-18T00:06:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nZ/76nQbmP0G7HvXdvJlVbqqBjP1M8Xagx/AkZU1yf19iVlJJi+p2n4BJSCET7c2wMV2TtlmPdfNPHiWjffHBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:59:49.145554Z"},"content_sha256":"b7b1046c3c5c754986cdfd02eff61f8aa374254e9d8825c3aad0e22ee7b00836","schema_version":"1.0","event_id":"sha256:b7b1046c3c5c754986cdfd02eff61f8aa374254e9d8825c3aad0e22ee7b00836"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7XIHZLZ2YOFFL7JUFYFIDRHARO/bundle.json","state_url":"https://pith.science/pith/7XIHZLZ2YOFFL7JUFYFIDRHARO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7XIHZLZ2YOFFL7JUFYFIDRHARO/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":"2026-08-20T05:59:49Z","links":{"resolver":"https://pith.science/pith/7XIHZLZ2YOFFL7JUFYFIDRHARO","bundle":"https://pith.science/pith/7XIHZLZ2YOFFL7JUFYFIDRHARO/bundle.json","state":"https://pith.science/pith/7XIHZLZ2YOFFL7JUFYFIDRHARO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7XIHZLZ2YOFFL7JUFYFIDRHARO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7XIHZLZ2YOFFL7JUFYFIDRHARO","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":"4b5d283c4f2c2c0c22854c38123857d375e0459c0a39706433434606cd6c45fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T17:19:07Z","title_canon_sha256":"0f5a237f0eef5ec69122ec18ebe3f4cd079cb9e364b61035706ddc89442ffcf8"},"schema_version":"1.0","source":{"id":"1809.01633","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.01633","created_at":"2026-05-18T00:06:27Z"},{"alias_kind":"arxiv_version","alias_value":"1809.01633v1","created_at":"2026-05-18T00:06:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.01633","created_at":"2026-05-18T00:06:27Z"},{"alias_kind":"pith_short_12","alias_value":"7XIHZLZ2YOFF","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7XIHZLZ2YOFFL7JU","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7XIHZLZ2","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:b7b1046c3c5c754986cdfd02eff61f8aa374254e9d8825c3aad0e22ee7b00836","target":"graph","created_at":"2026-05-18T00:06:27Z","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"},"paper":{"abstract_excerpt":"We present ongoing work to harness biological approaches to achieving highly efficient egocentric perception by combining the space-variant imaging architecture of the mammalian retina with Deep Learning methods. By pre-processing images collected by means of eye-tracking glasses to control the fixation locations of a software retina model, we demonstrate that we can reduce the input to a DCNN by a factor of 3, reduce the required number of training epochs and obtain over 98% classification rates when training and validating the system on a database of over 26,000 images of 9 object classes.","authors_text":"Jan Paul Siebert, Nina Hristozova, Piotr Ozimek","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T17:19:07Z","title":"Efficient Egocentric Visual Perception Combining Eye-tracking, a Software Retina and Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.01633","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":"sha256:359f6d09ecc5baecc0121bcce84c37af48f21675ba6606b07d8d634c4a36b31c","target":"record","created_at":"2026-05-18T00:06:27Z","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":"4b5d283c4f2c2c0c22854c38123857d375e0459c0a39706433434606cd6c45fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-05T17:19:07Z","title_canon_sha256":"0f5a237f0eef5ec69122ec18ebe3f4cd079cb9e364b61035706ddc89442ffcf8"},"schema_version":"1.0","source":{"id":"1809.01633","kind":"arxiv","version":1}},"canonical_sha256":"fdd07caf3ac38a55fd342e0a81c4e08b997d4ace656f39a6e1ea6a977097d603","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdd07caf3ac38a55fd342e0a81c4e08b997d4ace656f39a6e1ea6a977097d603","first_computed_at":"2026-05-18T00:06:27.011653Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:27.011653Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+g3qjYIa3P95AYqFdVpFjLw6R0/LCx4do2BpUSl2Kitj2SNpFQUvKFe5BivcgFDo/OuMqdlRrbh+43XXiACWDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:27.012288Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.01633","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:359f6d09ecc5baecc0121bcce84c37af48f21675ba6606b07d8d634c4a36b31c","sha256:b7b1046c3c5c754986cdfd02eff61f8aa374254e9d8825c3aad0e22ee7b00836"],"state_sha256":"d8278f3ee70dff4cf45520026fa5a4227873193af365740e864507297eb4f38b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"11HfSU+BRVNIdplw5SVl40iLchcXQ6+VgYizTC79jREG7dSA7aCjdqYAcWqokndXC1cnQ94qPvS2dMDBr/j0DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T05:59:49.148770Z","bundle_sha256":"a67291ad18a29e3dbe16372df89a6b5dfdbe9918270eff3c4d5017e407756444"}}