{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:7JAC5YXC4P2RZ2C7QE6WDROGV2","short_pith_number":"pith:7JAC5YXC","canonical_record":{"source":{"id":"1807.02233","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-06T03:14:29Z","cross_cats_sorted":["cs.LG","eess.SP","stat.ML"],"title_canon_sha256":"caba5ac2c19caa03465f0ee1d5bea3921cefeb2952be6891e4459bc240666639","abstract_canon_sha256":"44c6a7bf188865e8bbea823fddc89bfed658f22aaf73eeb0d5289a364f82b3b3"},"schema_version":"1.0"},"canonical_sha256":"fa402ee2e2e3f51ce85f813d61c5c6ae802bee8588dd2c1971f5319036c5f52d","source":{"kind":"arxiv","id":"1807.02233","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.02233","created_at":"2026-05-18T00:11:22Z"},{"alias_kind":"arxiv_version","alias_value":"1807.02233v1","created_at":"2026-05-18T00:11:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.02233","created_at":"2026-05-18T00:11:22Z"},{"alias_kind":"pith_short_12","alias_value":"7JAC5YXC4P2R","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7JAC5YXC4P2RZ2C7","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7JAC5YXC","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:7JAC5YXC4P2RZ2C7QE6WDROGV2","target":"record","payload":{"canonical_record":{"source":{"id":"1807.02233","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-06T03:14:29Z","cross_cats_sorted":["cs.LG","eess.SP","stat.ML"],"title_canon_sha256":"caba5ac2c19caa03465f0ee1d5bea3921cefeb2952be6891e4459bc240666639","abstract_canon_sha256":"44c6a7bf188865e8bbea823fddc89bfed658f22aaf73eeb0d5289a364f82b3b3"},"schema_version":"1.0"},"canonical_sha256":"fa402ee2e2e3f51ce85f813d61c5c6ae802bee8588dd2c1971f5319036c5f52d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:11:22.773607Z","signature_b64":"vfg9HtD802bPIabZhK9zHVUkBlV76/+DOxvJXcFlQ/F1CLxJPA/5jE1NzpNT/DTqKIPNBoIGBdYIP1E04HvBCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa402ee2e2e3f51ce85f813d61c5c6ae802bee8588dd2c1971f5319036c5f52d","last_reissued_at":"2026-05-18T00:11:22.772894Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:11:22.772894Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1807.02233","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":"2026-05-18T00:11:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N4DZstg2GmfQrrJjmU5MfK4EKRdEcyLJ3P1Cm8B8HYGH/1m2lcVcnStkJExlHloSaUaOh+UUWvycBHVCjzFHDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T07:33:50.015476Z"},"content_sha256":"7ada3795a61523da9356b98d0f41ffc33b8f65dbb757243196c035231a0ff2e5","schema_version":"1.0","event_id":"sha256:7ada3795a61523da9356b98d0f41ffc33b8f65dbb757243196c035231a0ff2e5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:7JAC5YXC4P2RZ2C7QE6WDROGV2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.SP","stat.ML"],"primary_cat":"eess.IV","authors_text":"Charudatta Phatak, Emine B. Gulsoy, Nicola Ferrier, Xiang Huang, Yan Zhang","submitted_at":"2018-07-06T03:14:29Z","abstract_excerpt":"Novel data acquisition schemes have been an emerging need for scanning microscopy based imaging techniques to reduce the time in data acquisition and to minimize probing radiation in sample exposure. Varies sparse sampling schemes have been studied and are ideally suited for such applications where the images can be reconstructed from a sparse set of measurements. Dynamic sparse sampling methods, particularly supervised learning based iterative sampling algorithms, have shown promising results for sampling pixel locations on the edges or boundaries during imaging. However, dynamic sampling for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.02233","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":"2026-05-18T00:11:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s8rdhLPbEcxXODbMSqjOe7LWUrF730NY3OpM5zi5gnrhWrtkflBeNtz4OR5DiM5djmiVVJ5wUfPVEa2o6l0rDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T07:33:50.015823Z"},"content_sha256":"41a38119e76bc979930542247094f14f61420526ebef487f72309d00e8caf815","schema_version":"1.0","event_id":"sha256:41a38119e76bc979930542247094f14f61420526ebef487f72309d00e8caf815"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7JAC5YXC4P2RZ2C7QE6WDROGV2/bundle.json","state_url":"https://pith.science/pith/7JAC5YXC4P2RZ2C7QE6WDROGV2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7JAC5YXC4P2RZ2C7QE6WDROGV2/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":"2026-05-30T07:33:50Z","links":{"resolver":"https://pith.science/pith/7JAC5YXC4P2RZ2C7QE6WDROGV2","bundle":"https://pith.science/pith/7JAC5YXC4P2RZ2C7QE6WDROGV2/bundle.json","state":"https://pith.science/pith/7JAC5YXC4P2RZ2C7QE6WDROGV2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7JAC5YXC4P2RZ2C7QE6WDROGV2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7JAC5YXC4P2RZ2C7QE6WDROGV2","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":"44c6a7bf188865e8bbea823fddc89bfed658f22aaf73eeb0d5289a364f82b3b3","cross_cats_sorted":["cs.LG","eess.SP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-06T03:14:29Z","title_canon_sha256":"caba5ac2c19caa03465f0ee1d5bea3921cefeb2952be6891e4459bc240666639"},"schema_version":"1.0","source":{"id":"1807.02233","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.02233","created_at":"2026-05-18T00:11:22Z"},{"alias_kind":"arxiv_version","alias_value":"1807.02233v1","created_at":"2026-05-18T00:11:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.02233","created_at":"2026-05-18T00:11:22Z"},{"alias_kind":"pith_short_12","alias_value":"7JAC5YXC4P2R","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7JAC5YXC4P2RZ2C7","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7JAC5YXC","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:41a38119e76bc979930542247094f14f61420526ebef487f72309d00e8caf815","target":"graph","created_at":"2026-05-18T00:11:22Z","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":"Novel data acquisition schemes have been an emerging need for scanning microscopy based imaging techniques to reduce the time in data acquisition and to minimize probing radiation in sample exposure. Varies sparse sampling schemes have been studied and are ideally suited for such applications where the images can be reconstructed from a sparse set of measurements. Dynamic sparse sampling methods, particularly supervised learning based iterative sampling algorithms, have shown promising results for sampling pixel locations on the edges or boundaries during imaging. However, dynamic sampling for","authors_text":"Charudatta Phatak, Emine B. Gulsoy, Nicola Ferrier, Xiang Huang, Yan Zhang","cross_cats":["cs.LG","eess.SP","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-06T03:14:29Z","title":"U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.02233","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":"sha256:7ada3795a61523da9356b98d0f41ffc33b8f65dbb757243196c035231a0ff2e5","target":"record","created_at":"2026-05-18T00:11:22Z","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":"44c6a7bf188865e8bbea823fddc89bfed658f22aaf73eeb0d5289a364f82b3b3","cross_cats_sorted":["cs.LG","eess.SP","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2018-07-06T03:14:29Z","title_canon_sha256":"caba5ac2c19caa03465f0ee1d5bea3921cefeb2952be6891e4459bc240666639"},"schema_version":"1.0","source":{"id":"1807.02233","kind":"arxiv","version":1}},"canonical_sha256":"fa402ee2e2e3f51ce85f813d61c5c6ae802bee8588dd2c1971f5319036c5f52d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa402ee2e2e3f51ce85f813d61c5c6ae802bee8588dd2c1971f5319036c5f52d","first_computed_at":"2026-05-18T00:11:22.772894Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:22.772894Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vfg9HtD802bPIabZhK9zHVUkBlV76/+DOxvJXcFlQ/F1CLxJPA/5jE1NzpNT/DTqKIPNBoIGBdYIP1E04HvBCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:22.773607Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.02233","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ada3795a61523da9356b98d0f41ffc33b8f65dbb757243196c035231a0ff2e5","sha256:41a38119e76bc979930542247094f14f61420526ebef487f72309d00e8caf815"],"state_sha256":"241c9a3ca0e7808382db8f11faf4275ad33f55c100f6beb263a9cb9a6bd5b538"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oMB7fE6XMVIj1duYbrJGREZH79G5KeSQCtpPOSOCnTHN4Th51weTSFn7CLwlnXlpU1AEy1QpeMe3Re2KCQOaBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T07:33:50.018092Z","bundle_sha256":"04d2b44ba9f57b1abe4d2258096ffc5f57727772cf23dbccc3c7f5213e327a63"}}