{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NBJ5U4W3XWXZVQNMKEA5Q6ZYPA","short_pith_number":"pith:NBJ5U4W3","canonical_record":{"source":{"id":"1702.07386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-23T20:48:13Z","cross_cats_sorted":[],"title_canon_sha256":"c16ecc23f5e32b78d953e3c7d1579fe64b5c8922235b0a234f34233e671b65fc","abstract_canon_sha256":"0b6ce037aac0780b57c94b58aacebff4aa824cbe3c06ef956fcf645d0279a995"},"schema_version":"1.0"},"canonical_sha256":"6853da72dbbdaf9ac1ac5101d87b3878030ebb474b42e0196a4fb821a7c6b7ee","source":{"kind":"arxiv","id":"1702.07386","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.07386","created_at":"2026-05-18T00:50:03Z"},{"alias_kind":"arxiv_version","alias_value":"1702.07386v1","created_at":"2026-05-18T00:50:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.07386","created_at":"2026-05-18T00:50:03Z"},{"alias_kind":"pith_short_12","alias_value":"NBJ5U4W3XWXZ","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NBJ5U4W3XWXZVQNM","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NBJ5U4W3","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NBJ5U4W3XWXZVQNMKEA5Q6ZYPA","target":"record","payload":{"canonical_record":{"source":{"id":"1702.07386","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-23T20:48:13Z","cross_cats_sorted":[],"title_canon_sha256":"c16ecc23f5e32b78d953e3c7d1579fe64b5c8922235b0a234f34233e671b65fc","abstract_canon_sha256":"0b6ce037aac0780b57c94b58aacebff4aa824cbe3c06ef956fcf645d0279a995"},"schema_version":"1.0"},"canonical_sha256":"6853da72dbbdaf9ac1ac5101d87b3878030ebb474b42e0196a4fb821a7c6b7ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:03.515036Z","signature_b64":"ehvLHBz7m+GAtOjvLUKoMXrdRlBDUH41HrjzfOvstzO+p90mzmr6uJqGJcS2J9Xro+yKWw/3RbstV04pK6JRDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6853da72dbbdaf9ac1ac5101d87b3878030ebb474b42e0196a4fb821a7c6b7ee","last_reissued_at":"2026-05-18T00:50:03.514505Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:03.514505Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.07386","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":"2026-05-18T00:50:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9y1y8ZEgB/hvPkXzTnKD785mAxvvf2ya01FpRvvDX2lE833dkyrqwDqun5QzZjW8/fLtuSnRdphvBg8xXTaGCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T17:15:03.769350Z"},"content_sha256":"623fb46d39ee28a76412a848220738dc2bc69f432002404a70cc0a8f4471e54f","schema_version":"1.0","event_id":"sha256:623fb46d39ee28a76412a848220738dc2bc69f432002404a70cc0a8f4471e54f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NBJ5U4W3XWXZVQNMKEA5Q6ZYPA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Toward Streaming Synapse Detection with Compositional ConvNets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexander Matveev, David Budden, Hayk Saribekyan, Heather Berlin, Nir Shavit, Shibani Santurkar, Yaron Meirovitch","submitted_at":"2017-02-23T20:48:13Z","abstract_excerpt":"Connectomics is an emerging field in neuroscience that aims to reconstruct the 3-dimensional morphology of neurons from electron microscopy (EM) images. Recent studies have successfully demonstrated the use of convolutional neural networks (ConvNets) for segmenting cell membranes to individuate neurons. However, there has been comparatively little success in high-throughput identification of the intercellular synaptic connections required for deriving connectivity graphs.\n  In this study, we take a compositional approach to segmenting synapses, modeling them explicitly as an intercellular clef"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.07386","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":"2026-05-18T00:50:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vYbhIiNoP/rGozuhNDzpJD+B2+usE/MhemsDIwPWWCyTxEhpyBANYkS9BPQitK55tRbvQlprzFwgQz93Eo9lAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T17:15:03.769703Z"},"content_sha256":"e106b5a0e1d02ec228d2dd37b0cae94b626a411e6ca0b4b2dcfa25c2359e5a9d","schema_version":"1.0","event_id":"sha256:e106b5a0e1d02ec228d2dd37b0cae94b626a411e6ca0b4b2dcfa25c2359e5a9d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NBJ5U4W3XWXZVQNMKEA5Q6ZYPA/bundle.json","state_url":"https://pith.science/pith/NBJ5U4W3XWXZVQNMKEA5Q6ZYPA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NBJ5U4W3XWXZVQNMKEA5Q6ZYPA/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":"2026-06-30T17:15:03Z","links":{"resolver":"https://pith.science/pith/NBJ5U4W3XWXZVQNMKEA5Q6ZYPA","bundle":"https://pith.science/pith/NBJ5U4W3XWXZVQNMKEA5Q6ZYPA/bundle.json","state":"https://pith.science/pith/NBJ5U4W3XWXZVQNMKEA5Q6ZYPA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NBJ5U4W3XWXZVQNMKEA5Q6ZYPA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NBJ5U4W3XWXZVQNMKEA5Q6ZYPA","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":"0b6ce037aac0780b57c94b58aacebff4aa824cbe3c06ef956fcf645d0279a995","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-23T20:48:13Z","title_canon_sha256":"c16ecc23f5e32b78d953e3c7d1579fe64b5c8922235b0a234f34233e671b65fc"},"schema_version":"1.0","source":{"id":"1702.07386","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.07386","created_at":"2026-05-18T00:50:03Z"},{"alias_kind":"arxiv_version","alias_value":"1702.07386v1","created_at":"2026-05-18T00:50:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.07386","created_at":"2026-05-18T00:50:03Z"},{"alias_kind":"pith_short_12","alias_value":"NBJ5U4W3XWXZ","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NBJ5U4W3XWXZVQNM","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NBJ5U4W3","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:e106b5a0e1d02ec228d2dd37b0cae94b626a411e6ca0b4b2dcfa25c2359e5a9d","target":"graph","created_at":"2026-05-18T00:50:03Z","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":"Connectomics is an emerging field in neuroscience that aims to reconstruct the 3-dimensional morphology of neurons from electron microscopy (EM) images. Recent studies have successfully demonstrated the use of convolutional neural networks (ConvNets) for segmenting cell membranes to individuate neurons. However, there has been comparatively little success in high-throughput identification of the intercellular synaptic connections required for deriving connectivity graphs.\n  In this study, we take a compositional approach to segmenting synapses, modeling them explicitly as an intercellular clef","authors_text":"Alexander Matveev, David Budden, Hayk Saribekyan, Heather Berlin, Nir Shavit, Shibani Santurkar, Yaron Meirovitch","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-23T20:48:13Z","title":"Toward Streaming Synapse Detection with Compositional ConvNets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.07386","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":"sha256:623fb46d39ee28a76412a848220738dc2bc69f432002404a70cc0a8f4471e54f","target":"record","created_at":"2026-05-18T00:50:03Z","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":"0b6ce037aac0780b57c94b58aacebff4aa824cbe3c06ef956fcf645d0279a995","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-23T20:48:13Z","title_canon_sha256":"c16ecc23f5e32b78d953e3c7d1579fe64b5c8922235b0a234f34233e671b65fc"},"schema_version":"1.0","source":{"id":"1702.07386","kind":"arxiv","version":1}},"canonical_sha256":"6853da72dbbdaf9ac1ac5101d87b3878030ebb474b42e0196a4fb821a7c6b7ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6853da72dbbdaf9ac1ac5101d87b3878030ebb474b42e0196a4fb821a7c6b7ee","first_computed_at":"2026-05-18T00:50:03.514505Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:03.514505Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ehvLHBz7m+GAtOjvLUKoMXrdRlBDUH41HrjzfOvstzO+p90mzmr6uJqGJcS2J9Xro+yKWw/3RbstV04pK6JRDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:03.515036Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.07386","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:623fb46d39ee28a76412a848220738dc2bc69f432002404a70cc0a8f4471e54f","sha256:e106b5a0e1d02ec228d2dd37b0cae94b626a411e6ca0b4b2dcfa25c2359e5a9d"],"state_sha256":"a1d39910f4183fa78dc80ae1427f20a1e3c11d210226f3153df406d90fe661b7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7raFLKfFsb27FZvC621Ep3zy1EluyPgZXMCKk8W4cqPWC7U2Z+rb904KBHb7vRX/iUgvWMmAsf6Wn8JEqXe7CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T17:15:03.771598Z","bundle_sha256":"9108cb27227c2d7ca4b0cfd1b9cb47a207940aa8873ac761d9e44d4f71f75de9"}}