{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LXQIUZE2VF6PYDEYUAOMSJUENH","short_pith_number":"pith:LXQIUZE2","canonical_record":{"source":{"id":"2507.01132","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-01T18:48:43Z","cross_cats_sorted":["q-bio.MN"],"title_canon_sha256":"6ba039ef6fa35fec68357c0797c55287c0978ba7686bb147c85039e0a1107f4a","abstract_canon_sha256":"c128b40942d24e4c91478c61c87bcc4e6e02cf442a5f43c7b40a41b13e150c46"},"schema_version":"1.0"},"canonical_sha256":"5de08a649aa97cfc0c98a01cc9268469f0e28033b85bd072e4fc99e6ef90937a","source":{"kind":"arxiv","id":"2507.01132","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01132","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01132v2","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01132","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"pith_short_12","alias_value":"LXQIUZE2VF6P","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"pith_short_16","alias_value":"LXQIUZE2VF6PYDEY","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"pith_short_8","alias_value":"LXQIUZE2","created_at":"2026-07-05T11:35:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LXQIUZE2VF6PYDEYUAOMSJUENH","target":"record","payload":{"canonical_record":{"source":{"id":"2507.01132","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-01T18:48:43Z","cross_cats_sorted":["q-bio.MN"],"title_canon_sha256":"6ba039ef6fa35fec68357c0797c55287c0978ba7686bb147c85039e0a1107f4a","abstract_canon_sha256":"c128b40942d24e4c91478c61c87bcc4e6e02cf442a5f43c7b40a41b13e150c46"},"schema_version":"1.0"},"canonical_sha256":"5de08a649aa97cfc0c98a01cc9268469f0e28033b85bd072e4fc99e6ef90937a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:57.422607Z","signature_b64":"M7hSkN+0sH5huJOlmPaiIzjGq4lx9qHkwxTJj+ECriAne/KK4ffuuhNH/0Nu5g9A3V1X0jVjTPj1g+W+IXWzCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5de08a649aa97cfc0c98a01cc9268469f0e28033b85bd072e4fc99e6ef90937a","last_reissued_at":"2026-07-05T11:35:57.422074Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:57.422074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.01132","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:35:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0bB0UjwdxAOrM1Bb/j58h3juAkZ/qBJaX8qJWlsU8VbPzlhgT7C05XyHS0yxflqwBS3v+Hf+uhyin686SHkTBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:56:59.464984Z"},"content_sha256":"d062ab2c4fe0c2a215858ba6d9a73d7633b075884cf67f72c8dc39bbe6988c19","schema_version":"1.0","event_id":"sha256:d062ab2c4fe0c2a215858ba6d9a73d7633b075884cf67f72c8dc39bbe6988c19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LXQIUZE2VF6PYDEYUAOMSJUENH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spectral Manifold Harmonization for Graph Imbalanced Regression","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["q-bio.MN"],"primary_cat":"cs.LG","authors_text":"Brenda Nogueira, Gabe Gomes, Meng Jiang, Nitesh V. Chawla, Nuno Moniz","submitted_at":"2025-07-01T18:48:43Z","abstract_excerpt":"Graph-structured data is ubiquitous in scientific domains, where models often face imbalanced learning settings. In imbalanced regression, domain preferences focus on specific target value ranges that represent the most scientifically valuable cases; however, we observe a significant lack of research regarding this challenge. In this paper, we present Spectral Manifold Harmonization (SMH), a novel approach to address imbalanced regression challenges on graph-structured data by generating synthetic graph samples that preserve topological properties while focusing on the most relevant target dis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01132","kind":"arxiv","version":2},"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/2507.01132/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":"2026-07-05T11:35:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"847ur3jpi4DuDnqxAiw470qtOaIuRWSG7qOWdt6ulpIVaOIplIjpXw8RjfSvwjSZbsMxca1wnsjbART9zpalBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:56:59.465705Z"},"content_sha256":"fe41b8add62ae821b4492ebf9b15cc90357b0bc6360bc77c0102678d64358420","schema_version":"1.0","event_id":"sha256:fe41b8add62ae821b4492ebf9b15cc90357b0bc6360bc77c0102678d64358420"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LXQIUZE2VF6PYDEYUAOMSJUENH/bundle.json","state_url":"https://pith.science/pith/LXQIUZE2VF6PYDEYUAOMSJUENH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LXQIUZE2VF6PYDEYUAOMSJUENH/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":"2026-08-22T10:56:59Z","links":{"resolver":"https://pith.science/pith/LXQIUZE2VF6PYDEYUAOMSJUENH","bundle":"https://pith.science/pith/LXQIUZE2VF6PYDEYUAOMSJUENH/bundle.json","state":"https://pith.science/pith/LXQIUZE2VF6PYDEYUAOMSJUENH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LXQIUZE2VF6PYDEYUAOMSJUENH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LXQIUZE2VF6PYDEYUAOMSJUENH","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":"c128b40942d24e4c91478c61c87bcc4e6e02cf442a5f43c7b40a41b13e150c46","cross_cats_sorted":["q-bio.MN"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-01T18:48:43Z","title_canon_sha256":"6ba039ef6fa35fec68357c0797c55287c0978ba7686bb147c85039e0a1107f4a"},"schema_version":"1.0","source":{"id":"2507.01132","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01132","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01132v2","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01132","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"pith_short_12","alias_value":"LXQIUZE2VF6P","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"pith_short_16","alias_value":"LXQIUZE2VF6PYDEY","created_at":"2026-07-05T11:35:57Z"},{"alias_kind":"pith_short_8","alias_value":"LXQIUZE2","created_at":"2026-07-05T11:35:57Z"}],"graph_snapshots":[{"event_id":"sha256:fe41b8add62ae821b4492ebf9b15cc90357b0bc6360bc77c0102678d64358420","target":"graph","created_at":"2026-07-05T11:35:57Z","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/2507.01132/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph-structured data is ubiquitous in scientific domains, where models often face imbalanced learning settings. In imbalanced regression, domain preferences focus on specific target value ranges that represent the most scientifically valuable cases; however, we observe a significant lack of research regarding this challenge. In this paper, we present Spectral Manifold Harmonization (SMH), a novel approach to address imbalanced regression challenges on graph-structured data by generating synthetic graph samples that preserve topological properties while focusing on the most relevant target dis","authors_text":"Brenda Nogueira, Gabe Gomes, Meng Jiang, Nitesh V. Chawla, Nuno Moniz","cross_cats":["q-bio.MN"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-01T18:48:43Z","title":"Spectral Manifold Harmonization for Graph Imbalanced Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01132","kind":"arxiv","version":2},"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:d062ab2c4fe0c2a215858ba6d9a73d7633b075884cf67f72c8dc39bbe6988c19","target":"record","created_at":"2026-07-05T11:35:57Z","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":"c128b40942d24e4c91478c61c87bcc4e6e02cf442a5f43c7b40a41b13e150c46","cross_cats_sorted":["q-bio.MN"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-01T18:48:43Z","title_canon_sha256":"6ba039ef6fa35fec68357c0797c55287c0978ba7686bb147c85039e0a1107f4a"},"schema_version":"1.0","source":{"id":"2507.01132","kind":"arxiv","version":2}},"canonical_sha256":"5de08a649aa97cfc0c98a01cc9268469f0e28033b85bd072e4fc99e6ef90937a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5de08a649aa97cfc0c98a01cc9268469f0e28033b85bd072e4fc99e6ef90937a","first_computed_at":"2026-07-05T11:35:57.422074Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:57.422074Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M7hSkN+0sH5huJOlmPaiIzjGq4lx9qHkwxTJj+ECriAne/KK4ffuuhNH/0Nu5g9A3V1X0jVjTPj1g+W+IXWzCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:57.422607Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.01132","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d062ab2c4fe0c2a215858ba6d9a73d7633b075884cf67f72c8dc39bbe6988c19","sha256:fe41b8add62ae821b4492ebf9b15cc90357b0bc6360bc77c0102678d64358420"],"state_sha256":"00349ec4c156172ecb23c77ae3690c386042382a15b9f2a0af0c825c11b2d0f2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7UaQ11wCB0EgVF0hbd+GmYmd/C+137pKR/pG5XsdhHxqsUz1iWxZIS71Za+CgvMLakwlCcwNyKHxrqksn+swAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T10:56:59.472568Z","bundle_sha256":"98e41123966bfdf5480c692cbcee0041fde1d4a80888d4ad147c0dd1adc1483b"}}