{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ZJHI7VJLKFITTHBKGXIX4I2PWF","short_pith_number":"pith:ZJHI7VJL","canonical_record":{"source":{"id":"1901.04985","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-01-12T06:00:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c4731e551ea51f151a7f06a67822929b0f3af427235cf985e0415d2bbe6a5a5d","abstract_canon_sha256":"b674b61387ad94d2e4c9d25bd822e92af1d1f596e9e4933d53bc37ec8a6a12c4"},"schema_version":"1.0"},"canonical_sha256":"ca4e8fd52b5151399c2a35d17e234fb15db11fa186319f50d5e64958c12f26e7","source":{"kind":"arxiv","id":"1901.04985","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.04985","created_at":"2026-05-17T23:56:15Z"},{"alias_kind":"arxiv_version","alias_value":"1901.04985v1","created_at":"2026-05-17T23:56:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.04985","created_at":"2026-05-17T23:56:15Z"},{"alias_kind":"pith_short_12","alias_value":"ZJHI7VJLKFIT","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"ZJHI7VJLKFITTHBK","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"ZJHI7VJL","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ZJHI7VJLKFITTHBKGXIX4I2PWF","target":"record","payload":{"canonical_record":{"source":{"id":"1901.04985","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-01-12T06:00:05Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c4731e551ea51f151a7f06a67822929b0f3af427235cf985e0415d2bbe6a5a5d","abstract_canon_sha256":"b674b61387ad94d2e4c9d25bd822e92af1d1f596e9e4933d53bc37ec8a6a12c4"},"schema_version":"1.0"},"canonical_sha256":"ca4e8fd52b5151399c2a35d17e234fb15db11fa186319f50d5e64958c12f26e7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:15.913459Z","signature_b64":"xROQjBv2VDoTat/OAL75mN4CNTir5LZTE9x0oQOva9MPadMDuzEykCtnpoUalgRpQaZMjHx4S/w57P8QUxfABw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ca4e8fd52b5151399c2a35d17e234fb15db11fa186319f50d5e64958c12f26e7","last_reissued_at":"2026-05-17T23:56:15.912863Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:15.912863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.04985","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":"2026-05-17T23:56:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C9b4GgwctrOvMgGri3Bz4VApV/N9WG8Wi15+y0S5p0Cu0UQ4J2ISTaQj84H4hI3WW8dklZ8lrvS9loYZYujOCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T18:49:32.745519Z"},"content_sha256":"3bb40e70724c5b7f43f989ecfce7189b9f62eb838f793f137dcdf831b7fc11cc","schema_version":"1.0","event_id":"sha256:3bb40e70724c5b7f43f989ecfce7189b9f62eb838f793f137dcdf831b7fc11cc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ZJHI7VJLKFITTHBKGXIX4I2PWF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.DC","authors_text":"Geunsik Lim, Hong-Seok Kim, Hyoungjoo Ahn, Jaeyun Jung, Ji Joong Moon, Jinhyuck Park, MyungJoo Ham, Sangjung Woo, Sewon Oh, Wook Song, Youngchul Cho","submitted_at":"2019-01-12T06:00:05Z","abstract_excerpt":"We propose nnstreamer, a software system that handles neural networks as filters of stream pipelines, applying the stream processing paradigm to neural network applications. A new trend with the wide-spread of deep neural network applications is on-device AI; i.e., processing neural networks directly on mobile devices or edge/IoT devices instead of cloud servers. Emerging privacy issues, data transmission costs, and operational costs signifies the need for on-device AI especially when a huge number of devices with real-time data processing are deployed. Nnstreamer efficiently handles neural ne"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.04985","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":"2026-05-17T23:56:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HGZNZUecjovddFKo6sfGvw2ucQayyuxv/mz4SMawVJKsCz3b9AMGHZtGuW8fNvHWEJjpAtEZJDrxIVTZe8xoDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T18:49:32.746228Z"},"content_sha256":"84f624b5074911cf18058f77485531923301189d2b5eb89c51cdc0cc51f6b095","schema_version":"1.0","event_id":"sha256:84f624b5074911cf18058f77485531923301189d2b5eb89c51cdc0cc51f6b095"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZJHI7VJLKFITTHBKGXIX4I2PWF/bundle.json","state_url":"https://pith.science/pith/ZJHI7VJLKFITTHBKGXIX4I2PWF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZJHI7VJLKFITTHBKGXIX4I2PWF/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":"2026-06-07T18:49:32Z","links":{"resolver":"https://pith.science/pith/ZJHI7VJLKFITTHBKGXIX4I2PWF","bundle":"https://pith.science/pith/ZJHI7VJLKFITTHBKGXIX4I2PWF/bundle.json","state":"https://pith.science/pith/ZJHI7VJLKFITTHBKGXIX4I2PWF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZJHI7VJLKFITTHBKGXIX4I2PWF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ZJHI7VJLKFITTHBKGXIX4I2PWF","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":"b674b61387ad94d2e4c9d25bd822e92af1d1f596e9e4933d53bc37ec8a6a12c4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-01-12T06:00:05Z","title_canon_sha256":"c4731e551ea51f151a7f06a67822929b0f3af427235cf985e0415d2bbe6a5a5d"},"schema_version":"1.0","source":{"id":"1901.04985","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.04985","created_at":"2026-05-17T23:56:15Z"},{"alias_kind":"arxiv_version","alias_value":"1901.04985v1","created_at":"2026-05-17T23:56:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.04985","created_at":"2026-05-17T23:56:15Z"},{"alias_kind":"pith_short_12","alias_value":"ZJHI7VJLKFIT","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"ZJHI7VJLKFITTHBK","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"ZJHI7VJL","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:84f624b5074911cf18058f77485531923301189d2b5eb89c51cdc0cc51f6b095","target":"graph","created_at":"2026-05-17T23:56:15Z","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 propose nnstreamer, a software system that handles neural networks as filters of stream pipelines, applying the stream processing paradigm to neural network applications. A new trend with the wide-spread of deep neural network applications is on-device AI; i.e., processing neural networks directly on mobile devices or edge/IoT devices instead of cloud servers. Emerging privacy issues, data transmission costs, and operational costs signifies the need for on-device AI especially when a huge number of devices with real-time data processing are deployed. Nnstreamer efficiently handles neural ne","authors_text":"Geunsik Lim, Hong-Seok Kim, Hyoungjoo Ahn, Jaeyun Jung, Ji Joong Moon, Jinhyuck Park, MyungJoo Ham, Sangjung Woo, Sewon Oh, Wook Song, Youngchul Cho","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-01-12T06:00:05Z","title":"NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.04985","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":"sha256:3bb40e70724c5b7f43f989ecfce7189b9f62eb838f793f137dcdf831b7fc11cc","target":"record","created_at":"2026-05-17T23:56:15Z","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":"b674b61387ad94d2e4c9d25bd822e92af1d1f596e9e4933d53bc37ec8a6a12c4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-01-12T06:00:05Z","title_canon_sha256":"c4731e551ea51f151a7f06a67822929b0f3af427235cf985e0415d2bbe6a5a5d"},"schema_version":"1.0","source":{"id":"1901.04985","kind":"arxiv","version":1}},"canonical_sha256":"ca4e8fd52b5151399c2a35d17e234fb15db11fa186319f50d5e64958c12f26e7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca4e8fd52b5151399c2a35d17e234fb15db11fa186319f50d5e64958c12f26e7","first_computed_at":"2026-05-17T23:56:15.912863Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:15.912863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xROQjBv2VDoTat/OAL75mN4CNTir5LZTE9x0oQOva9MPadMDuzEykCtnpoUalgRpQaZMjHx4S/w57P8QUxfABw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:15.913459Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.04985","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3bb40e70724c5b7f43f989ecfce7189b9f62eb838f793f137dcdf831b7fc11cc","sha256:84f624b5074911cf18058f77485531923301189d2b5eb89c51cdc0cc51f6b095"],"state_sha256":"2d32a5b67f36d099b1f1361699d8c31860b07059daf131c72c01d70e7ee131d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HJWkvPuZfi7MJNTmEfBq3G+HU7ahlb0SYgB4kc1aR5AssxkHsykTj+3zNfkTj5MNt5DPfFUWtPIolyv8AYcXAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T18:49:32.750075Z","bundle_sha256":"2666e6a87d9b8c5e146ec104dcdf6f087212bce26f21c10caa0faea182ecbd00"}}