{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:6TYTZ5LSFOAJMC2ZRLWPJJXD6W","short_pith_number":"pith:6TYTZ5LS","canonical_record":{"source":{"id":"2204.06436","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-13T14:54:02Z","cross_cats_sorted":[],"title_canon_sha256":"1e06940094b9005be46fc6237eabf63b684db5e9e44794ba9816662ef26966b0","abstract_canon_sha256":"719b9fcca9fa0fe59d5d647eeb981c72b6bc5053b0aa48bd3b33e507e868dbab"},"schema_version":"1.0"},"canonical_sha256":"f4f13cf5722b80960b598aecf4a6e3f5afed728941dc9f0901fd488c3a7b97a5","source":{"kind":"arxiv","id":"2204.06436","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.06436","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"arxiv_version","alias_value":"2204.06436v1","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.06436","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"pith_short_12","alias_value":"6TYTZ5LSFOAJ","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"pith_short_16","alias_value":"6TYTZ5LSFOAJMC2Z","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"pith_short_8","alias_value":"6TYTZ5LS","created_at":"2026-07-05T04:14:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:6TYTZ5LSFOAJMC2ZRLWPJJXD6W","target":"record","payload":{"canonical_record":{"source":{"id":"2204.06436","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-13T14:54:02Z","cross_cats_sorted":[],"title_canon_sha256":"1e06940094b9005be46fc6237eabf63b684db5e9e44794ba9816662ef26966b0","abstract_canon_sha256":"719b9fcca9fa0fe59d5d647eeb981c72b6bc5053b0aa48bd3b33e507e868dbab"},"schema_version":"1.0"},"canonical_sha256":"f4f13cf5722b80960b598aecf4a6e3f5afed728941dc9f0901fd488c3a7b97a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:14:34.021152Z","signature_b64":"+KJEhzfeRRr/3gt0IFTwOoH/wPPbxe+ZZvPOpK7JpSmO8yDwsMmKC1VOyFb/0f/u1n5+dNnm9wgZSw/3VSinCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f4f13cf5722b80960b598aecf4a6e3f5afed728941dc9f0901fd488c3a7b97a5","last_reissued_at":"2026-07-05T04:14:34.020775Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:14:34.020775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.06436","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":"2026-07-05T04:14:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fN+mM4Fr9bzDH2KDU9ClgDbf+AmVGRnuAc+SDg+H7c6bt1ZRH9Z94x8REbF4LVEktwRGeRyhV8Q5xJ+APLLkCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T01:01:23.325405Z"},"content_sha256":"4a37bddeea327405e120b62111ec23ccb128b81a96095838e1e4e0b11391c7cc","schema_version":"1.0","event_id":"sha256:4a37bddeea327405e120b62111ec23ccb128b81a96095838e1e4e0b11391c7cc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:6TYTZ5LSFOAJMC2ZRLWPJJXD6W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Label Augmentation with Reinforced Labeling for Weak Supervision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Anagha Gode Anil Kumar, Fabio Maresca, Flavio Cirillo, G\\\"urkan Solmaz","submitted_at":"2022-04-13T14:54:02Z","abstract_excerpt":"Weak supervision (WS) is an alternative to the traditional supervised learning to address the need for ground truth. Data programming is a practical WS approach that allows programmatic labeling data samples using labeling functions (LFs) instead of hand-labeling each data point. However, the existing approach fails to fully exploit the domain knowledge encoded into LFs, especially when the LFs' coverage is low. This is due to the common data programming pipeline that neglects to utilize data features during the generative process. This paper proposes a new approach called reinforced labeling "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.06436","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2204.06436/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T04:14:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ahTXpcXUTn0vLCUnc/DH9sRnVlX07hmj0p/NqG+cKQzuB7PmCeluA6cDAtr/0OXnFnkNFRT2fRUEFAa26yJMAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T01:01:23.326074Z"},"content_sha256":"f58bf9e17d3bad7a17ab6e3071c6531b6dfd90ee604f8b1adac986e555916bae","schema_version":"1.0","event_id":"sha256:f58bf9e17d3bad7a17ab6e3071c6531b6dfd90ee604f8b1adac986e555916bae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6TYTZ5LSFOAJMC2ZRLWPJJXD6W/bundle.json","state_url":"https://pith.science/pith/6TYTZ5LSFOAJMC2ZRLWPJJXD6W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6TYTZ5LSFOAJMC2ZRLWPJJXD6W/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":"2026-07-13T01:01:23Z","links":{"resolver":"https://pith.science/pith/6TYTZ5LSFOAJMC2ZRLWPJJXD6W","bundle":"https://pith.science/pith/6TYTZ5LSFOAJMC2ZRLWPJJXD6W/bundle.json","state":"https://pith.science/pith/6TYTZ5LSFOAJMC2ZRLWPJJXD6W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6TYTZ5LSFOAJMC2ZRLWPJJXD6W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6TYTZ5LSFOAJMC2ZRLWPJJXD6W","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":"719b9fcca9fa0fe59d5d647eeb981c72b6bc5053b0aa48bd3b33e507e868dbab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-13T14:54:02Z","title_canon_sha256":"1e06940094b9005be46fc6237eabf63b684db5e9e44794ba9816662ef26966b0"},"schema_version":"1.0","source":{"id":"2204.06436","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.06436","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"arxiv_version","alias_value":"2204.06436v1","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.06436","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"pith_short_12","alias_value":"6TYTZ5LSFOAJ","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"pith_short_16","alias_value":"6TYTZ5LSFOAJMC2Z","created_at":"2026-07-05T04:14:34Z"},{"alias_kind":"pith_short_8","alias_value":"6TYTZ5LS","created_at":"2026-07-05T04:14:34Z"}],"graph_snapshots":[{"event_id":"sha256:f58bf9e17d3bad7a17ab6e3071c6531b6dfd90ee604f8b1adac986e555916bae","target":"graph","created_at":"2026-07-05T04:14:34Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2204.06436/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Weak supervision (WS) is an alternative to the traditional supervised learning to address the need for ground truth. Data programming is a practical WS approach that allows programmatic labeling data samples using labeling functions (LFs) instead of hand-labeling each data point. However, the existing approach fails to fully exploit the domain knowledge encoded into LFs, especially when the LFs' coverage is low. This is due to the common data programming pipeline that neglects to utilize data features during the generative process. This paper proposes a new approach called reinforced labeling ","authors_text":"Anagha Gode Anil Kumar, Fabio Maresca, Flavio Cirillo, G\\\"urkan Solmaz","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-13T14:54:02Z","title":"Label Augmentation with Reinforced Labeling for Weak Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.06436","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":"sha256:4a37bddeea327405e120b62111ec23ccb128b81a96095838e1e4e0b11391c7cc","target":"record","created_at":"2026-07-05T04:14:34Z","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":"719b9fcca9fa0fe59d5d647eeb981c72b6bc5053b0aa48bd3b33e507e868dbab","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-04-13T14:54:02Z","title_canon_sha256":"1e06940094b9005be46fc6237eabf63b684db5e9e44794ba9816662ef26966b0"},"schema_version":"1.0","source":{"id":"2204.06436","kind":"arxiv","version":1}},"canonical_sha256":"f4f13cf5722b80960b598aecf4a6e3f5afed728941dc9f0901fd488c3a7b97a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f4f13cf5722b80960b598aecf4a6e3f5afed728941dc9f0901fd488c3a7b97a5","first_computed_at":"2026-07-05T04:14:34.020775Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:14:34.020775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+KJEhzfeRRr/3gt0IFTwOoH/wPPbxe+ZZvPOpK7JpSmO8yDwsMmKC1VOyFb/0f/u1n5+dNnm9wgZSw/3VSinCg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:14:34.021152Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.06436","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4a37bddeea327405e120b62111ec23ccb128b81a96095838e1e4e0b11391c7cc","sha256:f58bf9e17d3bad7a17ab6e3071c6531b6dfd90ee604f8b1adac986e555916bae"],"state_sha256":"86dd8cb26f53f0be2df6dd6f4c9777b99080e22958818d9656478f7c1cc936df"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iq9AzKpgK1RcnYlqMWi/pbPcTKSzsGvS/TQwBpR/rgLpHg/LPhIzzIAGmGJD1mV7ItJLK+LDFdH+qShp4+DSCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T01:01:23.330105Z","bundle_sha256":"d828d201bda7aa2a675d3254c4771252c8c27a1dda3307de660fd0b28bccfe33"}}