{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:MOQ7PB3QB4ASQK6OEUURUUYPJ5","short_pith_number":"pith:MOQ7PB3Q","canonical_record":{"source":{"id":"1706.09451","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-06-28T19:28:52Z","cross_cats_sorted":["physics.data-an","stat.ML"],"title_canon_sha256":"31977aeffec62dcabc3cc74c3f7f34d68694c374a73f3b4fcac20cb545e23ae8","abstract_canon_sha256":"715caf7c3aedcdecffa48a7069ee4ab8340f879b629f0ac4b9b293afd19492bc"},"schema_version":"1.0"},"canonical_sha256":"63a1f787700f01282bce25291a530f4f4b8700da4b2c117c7a0d3e4f317a4deb","source":{"kind":"arxiv","id":"1706.09451","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.09451","created_at":"2026-05-18T00:19:59Z"},{"alias_kind":"arxiv_version","alias_value":"1706.09451v3","created_at":"2026-05-18T00:19:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.09451","created_at":"2026-05-18T00:19:59Z"},{"alias_kind":"pith_short_12","alias_value":"MOQ7PB3QB4AS","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MOQ7PB3QB4ASQK6O","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MOQ7PB3Q","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:MOQ7PB3QB4ASQK6OEUURUUYPJ5","target":"record","payload":{"canonical_record":{"source":{"id":"1706.09451","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-06-28T19:28:52Z","cross_cats_sorted":["physics.data-an","stat.ML"],"title_canon_sha256":"31977aeffec62dcabc3cc74c3f7f34d68694c374a73f3b4fcac20cb545e23ae8","abstract_canon_sha256":"715caf7c3aedcdecffa48a7069ee4ab8340f879b629f0ac4b9b293afd19492bc"},"schema_version":"1.0"},"canonical_sha256":"63a1f787700f01282bce25291a530f4f4b8700da4b2c117c7a0d3e4f317a4deb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:59.100756Z","signature_b64":"VcYTICrmyCaqE5XV5altPHUa4SuemyH7n4KZw8FY1sYUFg3YeYLYh3fh7p25nSyhBUO6bVgYGx6CmGPGmFOZBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63a1f787700f01282bce25291a530f4f4b8700da4b2c117c7a0d3e4f317a4deb","last_reissued_at":"2026-05-18T00:19:59.100231Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:59.100231Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.09451","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:19:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DEGsQ5akJOIH8jnsD4G+uqUbw9XnRDkuNfkYZbj1cp53k3addZyAWLS/tC1TgZzDReBWS/FBYviTGpQGtpo7Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T17:10:13.744054Z"},"content_sha256":"5e5e331be8b2c8a4f9cbb09559b11c935188fe8fb84faf67abd17b27a80571cb","schema_version":"1.0","event_id":"sha256:5e5e331be8b2c8a4f9cbb09559b11c935188fe8fb84faf67abd17b27a80571cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:MOQ7PB3QB4ASQK6OEUURUUYPJ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"(Machine) Learning to Do More with Less","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an","stat.ML"],"primary_cat":"hep-ph","authors_text":"Bryan Ostdiek, Marat Freytsis, Timothy Cohen","submitted_at":"2017-06-28T19:28:52Z","abstract_excerpt":"Determining the best method for training a machine learning algorithm is critical to maximizing its ability to classify data. In this paper, we compare the standard \"fully supervised\" approach (that relies on knowledge of event-by-event truth-level labels) with a recent proposal that instead utilizes class ratios as the only discriminating information provided during training. This so-called \"weakly supervised\" technique has access to less information than the fully supervised method and yet is still able to yield impressive discriminating power. In addition, weak supervision seems particularl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.09451","kind":"arxiv","version":3},"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":"2026-05-18T00:19:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vX0LF6tFRq0wyAdLbaNEE4bUMvCW76n07if49fODdEKb/3VN04+fV96r2TCZ3wm4FUWmuMtonLg6BlbGTfl7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T17:10:13.744774Z"},"content_sha256":"9bd0e557ce1a839510f34f10b58d2414f89b7f8cdd954e3c0e919dc91eb162f9","schema_version":"1.0","event_id":"sha256:9bd0e557ce1a839510f34f10b58d2414f89b7f8cdd954e3c0e919dc91eb162f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MOQ7PB3QB4ASQK6OEUURUUYPJ5/bundle.json","state_url":"https://pith.science/pith/MOQ7PB3QB4ASQK6OEUURUUYPJ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MOQ7PB3QB4ASQK6OEUURUUYPJ5/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":"2026-05-30T17:10:13Z","links":{"resolver":"https://pith.science/pith/MOQ7PB3QB4ASQK6OEUURUUYPJ5","bundle":"https://pith.science/pith/MOQ7PB3QB4ASQK6OEUURUUYPJ5/bundle.json","state":"https://pith.science/pith/MOQ7PB3QB4ASQK6OEUURUUYPJ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MOQ7PB3QB4ASQK6OEUURUUYPJ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:MOQ7PB3QB4ASQK6OEUURUUYPJ5","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":"715caf7c3aedcdecffa48a7069ee4ab8340f879b629f0ac4b9b293afd19492bc","cross_cats_sorted":["physics.data-an","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-06-28T19:28:52Z","title_canon_sha256":"31977aeffec62dcabc3cc74c3f7f34d68694c374a73f3b4fcac20cb545e23ae8"},"schema_version":"1.0","source":{"id":"1706.09451","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.09451","created_at":"2026-05-18T00:19:59Z"},{"alias_kind":"arxiv_version","alias_value":"1706.09451v3","created_at":"2026-05-18T00:19:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.09451","created_at":"2026-05-18T00:19:59Z"},{"alias_kind":"pith_short_12","alias_value":"MOQ7PB3QB4AS","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"MOQ7PB3QB4ASQK6O","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"MOQ7PB3Q","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:9bd0e557ce1a839510f34f10b58d2414f89b7f8cdd954e3c0e919dc91eb162f9","target":"graph","created_at":"2026-05-18T00:19:59Z","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":"Determining the best method for training a machine learning algorithm is critical to maximizing its ability to classify data. In this paper, we compare the standard \"fully supervised\" approach (that relies on knowledge of event-by-event truth-level labels) with a recent proposal that instead utilizes class ratios as the only discriminating information provided during training. This so-called \"weakly supervised\" technique has access to less information than the fully supervised method and yet is still able to yield impressive discriminating power. In addition, weak supervision seems particularl","authors_text":"Bryan Ostdiek, Marat Freytsis, Timothy Cohen","cross_cats":["physics.data-an","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-06-28T19:28:52Z","title":"(Machine) Learning to Do More with Less"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.09451","kind":"arxiv","version":3},"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":"sha256:5e5e331be8b2c8a4f9cbb09559b11c935188fe8fb84faf67abd17b27a80571cb","target":"record","created_at":"2026-05-18T00:19:59Z","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":"715caf7c3aedcdecffa48a7069ee4ab8340f879b629f0ac4b9b293afd19492bc","cross_cats_sorted":["physics.data-an","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"hep-ph","submitted_at":"2017-06-28T19:28:52Z","title_canon_sha256":"31977aeffec62dcabc3cc74c3f7f34d68694c374a73f3b4fcac20cb545e23ae8"},"schema_version":"1.0","source":{"id":"1706.09451","kind":"arxiv","version":3}},"canonical_sha256":"63a1f787700f01282bce25291a530f4f4b8700da4b2c117c7a0d3e4f317a4deb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63a1f787700f01282bce25291a530f4f4b8700da4b2c117c7a0d3e4f317a4deb","first_computed_at":"2026-05-18T00:19:59.100231Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:19:59.100231Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VcYTICrmyCaqE5XV5altPHUa4SuemyH7n4KZw8FY1sYUFg3YeYLYh3fh7p25nSyhBUO6bVgYGx6CmGPGmFOZBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:19:59.100756Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.09451","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e5e331be8b2c8a4f9cbb09559b11c935188fe8fb84faf67abd17b27a80571cb","sha256:9bd0e557ce1a839510f34f10b58d2414f89b7f8cdd954e3c0e919dc91eb162f9"],"state_sha256":"878c3999f190a65cb071e3bc3dab8c19c2eb4b7e2f54d7ac7b9d9594d9b21cb9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hcvx1/i/i/7LVec1mbQDg+dlwBIm/dT4U8InksrGgtkLxjOiCRjFqVA9tey2B/bPVH5lCVZ7Ymbn0F8kprGoAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T17:10:13.748638Z","bundle_sha256":"8e6a3497a44b157567b8c614d220c1b197c054430a876a0a4a639b2315e858d1"}}