{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KBC3DTLE2PYYNVL536VHKF27YG","short_pith_number":"pith:KBC3DTLE","canonical_record":{"source":{"id":"2502.10489","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-14T12:41:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c42d5dc5aca11f2206e889d922886a81bba90bba0b4bc2b4435764956df71f99","abstract_canon_sha256":"4e9caa9ef6b3bd5f520f80728b6263629d1e9986a9370a16230b717d16da2b3b"},"schema_version":"1.0"},"canonical_sha256":"5045b1cd64d3f186d57ddfaa75175fc19a4c68a6fe1161e7da3f43ece184841c","source":{"kind":"arxiv","id":"2502.10489","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.10489","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"arxiv_version","alias_value":"2502.10489v1","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.10489","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"pith_short_12","alias_value":"KBC3DTLE2PYY","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"pith_short_16","alias_value":"KBC3DTLE2PYYNVL5","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"pith_short_8","alias_value":"KBC3DTLE","created_at":"2026-07-05T10:14:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KBC3DTLE2PYYNVL536VHKF27YG","target":"record","payload":{"canonical_record":{"source":{"id":"2502.10489","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-14T12:41:20Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c42d5dc5aca11f2206e889d922886a81bba90bba0b4bc2b4435764956df71f99","abstract_canon_sha256":"4e9caa9ef6b3bd5f520f80728b6263629d1e9986a9370a16230b717d16da2b3b"},"schema_version":"1.0"},"canonical_sha256":"5045b1cd64d3f186d57ddfaa75175fc19a4c68a6fe1161e7da3f43ece184841c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:14:53.511145Z","signature_b64":"r0g+Vzy5XDxRIhQgMphPtkF9dS5AiQ2auhxBISKXkqIjML7FiELpsuz8OW/2zgO8zNQmmtA1ewuF9UqIpzJUCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5045b1cd64d3f186d57ddfaa75175fc19a4c68a6fe1161e7da3f43ece184841c","last_reissued_at":"2026-07-05T10:14:53.510497Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:14:53.510497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.10489","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":"2026-07-05T10:14:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nh4Ed8Sovpq5AzaYDEKTUDPMTHnofVfCsrykgt1amAC3zcAEy59/FsTJfCRW7XrIOzvD1XU/dCj7W6oebebACg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:53:59.931397Z"},"content_sha256":"2e8ea7fa100a8417201e384ce55f4a4a27293d0846ef9ab68f6677ac48046f0b","schema_version":"1.0","event_id":"sha256:2e8ea7fa100a8417201e384ce55f4a4a27293d0846ef9ab68f6677ac48046f0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KBC3DTLE2PYYNVL536VHKF27YG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LiveVal: Time-aware Data Valuation via Adaptive Reference Points","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Cong Wang, Jie Xu, Xiaohua Jia, Zihan Wu","submitted_at":"2025-02-14T12:41:20Z","abstract_excerpt":"Time-aware data valuation enhances training efficiency and model robustness, as early detection of harmful samples could prevent months of wasted computation. However, existing methods rely on model retraining or convergence assumptions or fail to capture long-term training dynamics.\n  We propose LiveVal, an efficient time-aware data valuation method with three key designs:\n  1) seamless integration with SGD training for efficient data contribution monitoring; 2) reference-based valuation with normalization for reliable benchmark establishment; and 3) adaptive reference point selection for rea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.10489","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/2502.10489/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":"2026-07-05T10:14:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ck8tvTWFcGdAHm3of57hzx32IGrWm+BgJsYXuBE4e8a2c7MFaiutWUT9miXEr1OyY/8ENfzTMwoMN6+tpmy3Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T17:53:59.932021Z"},"content_sha256":"a3a4d3b6c677eef85561a106a190196b9d6417545feab2ee596fe93cc255999a","schema_version":"1.0","event_id":"sha256:a3a4d3b6c677eef85561a106a190196b9d6417545feab2ee596fe93cc255999a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KBC3DTLE2PYYNVL536VHKF27YG/bundle.json","state_url":"https://pith.science/pith/KBC3DTLE2PYYNVL536VHKF27YG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KBC3DTLE2PYYNVL536VHKF27YG/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":"2026-08-04T17:53:59Z","links":{"resolver":"https://pith.science/pith/KBC3DTLE2PYYNVL536VHKF27YG","bundle":"https://pith.science/pith/KBC3DTLE2PYYNVL536VHKF27YG/bundle.json","state":"https://pith.science/pith/KBC3DTLE2PYYNVL536VHKF27YG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KBC3DTLE2PYYNVL536VHKF27YG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KBC3DTLE2PYYNVL536VHKF27YG","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":"4e9caa9ef6b3bd5f520f80728b6263629d1e9986a9370a16230b717d16da2b3b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-14T12:41:20Z","title_canon_sha256":"c42d5dc5aca11f2206e889d922886a81bba90bba0b4bc2b4435764956df71f99"},"schema_version":"1.0","source":{"id":"2502.10489","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.10489","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"arxiv_version","alias_value":"2502.10489v1","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.10489","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"pith_short_12","alias_value":"KBC3DTLE2PYY","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"pith_short_16","alias_value":"KBC3DTLE2PYYNVL5","created_at":"2026-07-05T10:14:53Z"},{"alias_kind":"pith_short_8","alias_value":"KBC3DTLE","created_at":"2026-07-05T10:14:53Z"}],"graph_snapshots":[{"event_id":"sha256:a3a4d3b6c677eef85561a106a190196b9d6417545feab2ee596fe93cc255999a","target":"graph","created_at":"2026-07-05T10:14:53Z","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/2502.10489/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Time-aware data valuation enhances training efficiency and model robustness, as early detection of harmful samples could prevent months of wasted computation. However, existing methods rely on model retraining or convergence assumptions or fail to capture long-term training dynamics.\n  We propose LiveVal, an efficient time-aware data valuation method with three key designs:\n  1) seamless integration with SGD training for efficient data contribution monitoring; 2) reference-based valuation with normalization for reliable benchmark establishment; and 3) adaptive reference point selection for rea","authors_text":"Cong Wang, Jie Xu, Xiaohua Jia, Zihan Wu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-14T12:41:20Z","title":"LiveVal: Time-aware Data Valuation via Adaptive Reference Points"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.10489","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":"sha256:2e8ea7fa100a8417201e384ce55f4a4a27293d0846ef9ab68f6677ac48046f0b","target":"record","created_at":"2026-07-05T10:14:53Z","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":"4e9caa9ef6b3bd5f520f80728b6263629d1e9986a9370a16230b717d16da2b3b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2025-02-14T12:41:20Z","title_canon_sha256":"c42d5dc5aca11f2206e889d922886a81bba90bba0b4bc2b4435764956df71f99"},"schema_version":"1.0","source":{"id":"2502.10489","kind":"arxiv","version":1}},"canonical_sha256":"5045b1cd64d3f186d57ddfaa75175fc19a4c68a6fe1161e7da3f43ece184841c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5045b1cd64d3f186d57ddfaa75175fc19a4c68a6fe1161e7da3f43ece184841c","first_computed_at":"2026-07-05T10:14:53.510497Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:14:53.510497Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r0g+Vzy5XDxRIhQgMphPtkF9dS5AiQ2auhxBISKXkqIjML7FiELpsuz8OW/2zgO8zNQmmtA1ewuF9UqIpzJUCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:14:53.511145Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.10489","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e8ea7fa100a8417201e384ce55f4a4a27293d0846ef9ab68f6677ac48046f0b","sha256:a3a4d3b6c677eef85561a106a190196b9d6417545feab2ee596fe93cc255999a"],"state_sha256":"af93d0f1effffea54100148f22a60d6280ba4052bd102f3952554481e6c49709"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eRipaYCUgnx8uCISyjASBQCe4RBuoelB7X0Ds5CMaVynG8aq/fPplsIOfPk+QnaOneEspAzKfvr+D3FnqqLNCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T17:53:59.935815Z","bundle_sha256":"097387a821c85a847c004f50fe0f3fe7b272312fb458e6a76dc61e59582a0ecf"}}