{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:FSSUKVC2YFQMKI2PN37GU3YS5G","short_pith_number":"pith:FSSUKVC2","canonical_record":{"source":{"id":"1211.1119","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-06T06:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"3a7533a2c258af2ce7779a15db9d0d0e371ca2d1d6ddeb44381b3bcb8a889e1c","abstract_canon_sha256":"e1856e7f93dc51c55e3321322c42d8e56c0ba838ecf5415fa8f1eebeec05682c"},"schema_version":"1.0"},"canonical_sha256":"2ca545545ac160c5234f6efe6a6f12e9b9dd3a83f9c5736a0d4f211c3c222326","source":{"kind":"arxiv","id":"1211.1119","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.1119","created_at":"2026-05-18T02:54:47Z"},{"alias_kind":"arxiv_version","alias_value":"1211.1119v1","created_at":"2026-05-18T02:54:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.1119","created_at":"2026-05-18T02:54:47Z"},{"alias_kind":"pith_short_12","alias_value":"FSSUKVC2YFQM","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"FSSUKVC2YFQMKI2P","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"FSSUKVC2","created_at":"2026-05-18T12:27:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:FSSUKVC2YFQMKI2PN37GU3YS5G","target":"record","payload":{"canonical_record":{"source":{"id":"1211.1119","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-06T06:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"3a7533a2c258af2ce7779a15db9d0d0e371ca2d1d6ddeb44381b3bcb8a889e1c","abstract_canon_sha256":"e1856e7f93dc51c55e3321322c42d8e56c0ba838ecf5415fa8f1eebeec05682c"},"schema_version":"1.0"},"canonical_sha256":"2ca545545ac160c5234f6efe6a6f12e9b9dd3a83f9c5736a0d4f211c3c222326","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:54:47.193026Z","signature_b64":"TgS/tpGqhi3HZ7Q58pQSBMaQxMWtNdlOHmyoyqdKRCL/6GBtZu3JdVCmTUDszZPedGHVjS57xB00iWKbzC0KBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ca545545ac160c5234f6efe6a6f12e9b9dd3a83f9c5736a0d4f211c3c222326","last_reissued_at":"2026-05-18T02:54:47.192616Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:54:47.192616Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1211.1119","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":"2026-05-18T02:54:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"006FIeODfLV/SE+3blXH8xn19BpF7Gfbx7xn00x3UPIcnG5jC41vnxW4+2yDFvfsbxXQsiGSuFoJIrlqSqkoBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:35:37.245109Z"},"content_sha256":"6d3fc9d86a7ec70dcaf20c4aa877f190c14825906fdc7429110e790da7bb4d22","schema_version":"1.0","event_id":"sha256:6d3fc9d86a7ec70dcaf20c4aa877f190c14825906fdc7429110e790da7bb4d22"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:FSSUKVC2YFQMKI2PN37GU3YS5G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Techniques of Improving Generalization Ability of Genetic Programming Solutions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Sanjay Chaudhary, Vipul K. Dabhi","submitted_at":"2012-11-06T06:15:28Z","abstract_excerpt":"In the field of empirical modeling using Genetic Programming (GP), it is important to evolve solution with good generalization ability. Generalization ability of GP solutions get affected by two important issues: bloat and over-fitting. We surveyed and classified existing literature related to different techniques used by GP research community to deal with these issues. We also point out limitation of these techniques, if any. Moreover, the classification of different bloat control approaches and measures for bloat and over-fitting are also discussed. We believe that this work will be useful t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.1119","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":"2026-05-18T02:54:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OeDCXPIMR9dk76hb8l63JEY+Ptat3gWmlsfWNAOtaS1NfOkiEd3bGZdfAuJLpUt/i4SDJzeD1m2RxlwLpj6+AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T02:35:37.245472Z"},"content_sha256":"91f34c6134b73fc8c530f4cb697c70597061b16064fc20da9b108a2a4ffc44a4","schema_version":"1.0","event_id":"sha256:91f34c6134b73fc8c530f4cb697c70597061b16064fc20da9b108a2a4ffc44a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FSSUKVC2YFQMKI2PN37GU3YS5G/bundle.json","state_url":"https://pith.science/pith/FSSUKVC2YFQMKI2PN37GU3YS5G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FSSUKVC2YFQMKI2PN37GU3YS5G/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":"2026-06-03T02:35:37Z","links":{"resolver":"https://pith.science/pith/FSSUKVC2YFQMKI2PN37GU3YS5G","bundle":"https://pith.science/pith/FSSUKVC2YFQMKI2PN37GU3YS5G/bundle.json","state":"https://pith.science/pith/FSSUKVC2YFQMKI2PN37GU3YS5G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FSSUKVC2YFQMKI2PN37GU3YS5G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:FSSUKVC2YFQMKI2PN37GU3YS5G","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":"e1856e7f93dc51c55e3321322c42d8e56c0ba838ecf5415fa8f1eebeec05682c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-06T06:15:28Z","title_canon_sha256":"3a7533a2c258af2ce7779a15db9d0d0e371ca2d1d6ddeb44381b3bcb8a889e1c"},"schema_version":"1.0","source":{"id":"1211.1119","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.1119","created_at":"2026-05-18T02:54:47Z"},{"alias_kind":"arxiv_version","alias_value":"1211.1119v1","created_at":"2026-05-18T02:54:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.1119","created_at":"2026-05-18T02:54:47Z"},{"alias_kind":"pith_short_12","alias_value":"FSSUKVC2YFQM","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"FSSUKVC2YFQMKI2P","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"FSSUKVC2","created_at":"2026-05-18T12:27:06Z"}],"graph_snapshots":[{"event_id":"sha256:91f34c6134b73fc8c530f4cb697c70597061b16064fc20da9b108a2a4ffc44a4","target":"graph","created_at":"2026-05-18T02:54:47Z","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":"In the field of empirical modeling using Genetic Programming (GP), it is important to evolve solution with good generalization ability. Generalization ability of GP solutions get affected by two important issues: bloat and over-fitting. We surveyed and classified existing literature related to different techniques used by GP research community to deal with these issues. We also point out limitation of these techniques, if any. Moreover, the classification of different bloat control approaches and measures for bloat and over-fitting are also discussed. We believe that this work will be useful t","authors_text":"Sanjay Chaudhary, Vipul K. Dabhi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-06T06:15:28Z","title":"A Survey on Techniques of Improving Generalization Ability of Genetic Programming Solutions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.1119","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":"sha256:6d3fc9d86a7ec70dcaf20c4aa877f190c14825906fdc7429110e790da7bb4d22","target":"record","created_at":"2026-05-18T02:54:47Z","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":"e1856e7f93dc51c55e3321322c42d8e56c0ba838ecf5415fa8f1eebeec05682c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2012-11-06T06:15:28Z","title_canon_sha256":"3a7533a2c258af2ce7779a15db9d0d0e371ca2d1d6ddeb44381b3bcb8a889e1c"},"schema_version":"1.0","source":{"id":"1211.1119","kind":"arxiv","version":1}},"canonical_sha256":"2ca545545ac160c5234f6efe6a6f12e9b9dd3a83f9c5736a0d4f211c3c222326","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ca545545ac160c5234f6efe6a6f12e9b9dd3a83f9c5736a0d4f211c3c222326","first_computed_at":"2026-05-18T02:54:47.192616Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:54:47.192616Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TgS/tpGqhi3HZ7Q58pQSBMaQxMWtNdlOHmyoyqdKRCL/6GBtZu3JdVCmTUDszZPedGHVjS57xB00iWKbzC0KBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:54:47.193026Z","signed_message":"canonical_sha256_bytes"},"source_id":"1211.1119","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d3fc9d86a7ec70dcaf20c4aa877f190c14825906fdc7429110e790da7bb4d22","sha256:91f34c6134b73fc8c530f4cb697c70597061b16064fc20da9b108a2a4ffc44a4"],"state_sha256":"f848eb1dc24524138546acbe27f4a36c82133ca471e6a88b6a20f3ed5f1b849c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ACXB3INb0n0CxVMsnKobvWnRX5k6yQZcywj0awfy6l3mv6/U43E0DsgmAMzie4h6kmKKebaplUIZdgG6AWQiBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T02:35:37.247389Z","bundle_sha256":"30bba112358827267a0aa40089087381a8ec5e5733c79fbad37ffd2be7fe07bb"}}