{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:C2SPMT7K2K6OCBXP7CBTFV5UDY","short_pith_number":"pith:C2SPMT7K","canonical_record":{"source":{"id":"2505.03809","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-02T11:38:48Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"5902f3038fc095adadde2de0f8ab969eda867845f586b48039ca28726f415608","abstract_canon_sha256":"e1c12639f12da0773e2608118ff28618bef9e3a5f7045b786cffd69ccf340813"},"schema_version":"1.0"},"canonical_sha256":"16a4f64fead2bce106eff88332d7b41e03893dd24889c36ab25c3299b4a7624d","source":{"kind":"arxiv","id":"2505.03809","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03809","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03809v1","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03809","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"C2SPMT7K2K6O","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"C2SPMT7K2K6OCBXP","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"C2SPMT7K","created_at":"2026-07-05T11:01:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:C2SPMT7K2K6OCBXP7CBTFV5UDY","target":"record","payload":{"canonical_record":{"source":{"id":"2505.03809","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-02T11:38:48Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"5902f3038fc095adadde2de0f8ab969eda867845f586b48039ca28726f415608","abstract_canon_sha256":"e1c12639f12da0773e2608118ff28618bef9e3a5f7045b786cffd69ccf340813"},"schema_version":"1.0"},"canonical_sha256":"16a4f64fead2bce106eff88332d7b41e03893dd24889c36ab25c3299b4a7624d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:36.204845Z","signature_b64":"QziW0sASfzP5hfzkgFj9/kgS0fhxRdc/DalURR09LsM6ScgMzFWBnWvPNE2MngP/PfmaKGUmsA4ftjA0vv32AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16a4f64fead2bce106eff88332d7b41e03893dd24889c36ab25c3299b4a7624d","last_reissued_at":"2026-07-05T11:01:36.204358Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:36.204358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.03809","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":"2026-07-05T11:01:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zFUPzdM3AjUqucgrB8olrcdZ3OOrdPhiXePJYHpoxvAX8wtE5koQXHmR7z8RdxbV3ZrgZ0+nWgDuZqlvttb/Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:01:31.911834Z"},"content_sha256":"51c949ca5374ef3f24bcfc7b5029395e0484ed7bead0bf2c0d97e2f1c67051be","schema_version":"1.0","event_id":"sha256:51c949ca5374ef3f24bcfc7b5029395e0484ed7bead0bf2c0d97e2f1c67051be"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:C2SPMT7K2K6OCBXP7CBTFV5UDY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"When Dynamic Data Selection Meets Data Augmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.LG","authors_text":"Dongzhan Zhou, Furao Shen, Peng Ye, Suorong Yang","submitted_at":"2025-05-02T11:38:48Z","abstract_excerpt":"Dynamic data selection aims to accelerate training with lossless performance. However, reducing training data inherently limits data diversity, potentially hindering generalization. While data augmentation is widely used to enhance diversity, it is typically not optimized in conjunction with selection. As a result, directly combining these techniques fails to fully exploit their synergies. To tackle the challenge, we propose a novel online data training framework that, for the first time, unifies dynamic data selection and augmentation, achieving both training efficiency and enhanced performan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03809","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/2505.03809/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":"2026-07-05T11:01:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QsFRDY0+6O/nhTrLQ1R6NuiTkPtLsjPeBGpBFY862cWBqN45FTab9v0ZXFkf+E3HBkDxfFD+RB4CC2fKDZG4Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T08:01:31.912363Z"},"content_sha256":"0a839037af55ec7832799fe3e65aa6d3641e3a0317fd1eed0b459f8a4cffbcc8","schema_version":"1.0","event_id":"sha256:0a839037af55ec7832799fe3e65aa6d3641e3a0317fd1eed0b459f8a4cffbcc8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C2SPMT7K2K6OCBXP7CBTFV5UDY/bundle.json","state_url":"https://pith.science/pith/C2SPMT7K2K6OCBXP7CBTFV5UDY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C2SPMT7K2K6OCBXP7CBTFV5UDY/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":"2026-08-08T08:01:31Z","links":{"resolver":"https://pith.science/pith/C2SPMT7K2K6OCBXP7CBTFV5UDY","bundle":"https://pith.science/pith/C2SPMT7K2K6OCBXP7CBTFV5UDY/bundle.json","state":"https://pith.science/pith/C2SPMT7K2K6OCBXP7CBTFV5UDY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C2SPMT7K2K6OCBXP7CBTFV5UDY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:C2SPMT7K2K6OCBXP7CBTFV5UDY","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":"e1c12639f12da0773e2608118ff28618bef9e3a5f7045b786cffd69ccf340813","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-02T11:38:48Z","title_canon_sha256":"5902f3038fc095adadde2de0f8ab969eda867845f586b48039ca28726f415608"},"schema_version":"1.0","source":{"id":"2505.03809","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03809","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03809v1","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03809","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_12","alias_value":"C2SPMT7K2K6O","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_16","alias_value":"C2SPMT7K2K6OCBXP","created_at":"2026-07-05T11:01:36Z"},{"alias_kind":"pith_short_8","alias_value":"C2SPMT7K","created_at":"2026-07-05T11:01:36Z"}],"graph_snapshots":[{"event_id":"sha256:0a839037af55ec7832799fe3e65aa6d3641e3a0317fd1eed0b459f8a4cffbcc8","target":"graph","created_at":"2026-07-05T11:01:36Z","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/2505.03809/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dynamic data selection aims to accelerate training with lossless performance. However, reducing training data inherently limits data diversity, potentially hindering generalization. While data augmentation is widely used to enhance diversity, it is typically not optimized in conjunction with selection. As a result, directly combining these techniques fails to fully exploit their synergies. To tackle the challenge, we propose a novel online data training framework that, for the first time, unifies dynamic data selection and augmentation, achieving both training efficiency and enhanced performan","authors_text":"Dongzhan Zhou, Furao Shen, Peng Ye, Suorong Yang","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-02T11:38:48Z","title":"When Dynamic Data Selection Meets Data Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03809","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":"sha256:51c949ca5374ef3f24bcfc7b5029395e0484ed7bead0bf2c0d97e2f1c67051be","target":"record","created_at":"2026-07-05T11:01:36Z","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":"e1c12639f12da0773e2608118ff28618bef9e3a5f7045b786cffd69ccf340813","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-02T11:38:48Z","title_canon_sha256":"5902f3038fc095adadde2de0f8ab969eda867845f586b48039ca28726f415608"},"schema_version":"1.0","source":{"id":"2505.03809","kind":"arxiv","version":1}},"canonical_sha256":"16a4f64fead2bce106eff88332d7b41e03893dd24889c36ab25c3299b4a7624d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16a4f64fead2bce106eff88332d7b41e03893dd24889c36ab25c3299b4a7624d","first_computed_at":"2026-07-05T11:01:36.204358Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:36.204358Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QziW0sASfzP5hfzkgFj9/kgS0fhxRdc/DalURR09LsM6ScgMzFWBnWvPNE2MngP/PfmaKGUmsA4ftjA0vv32AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:36.204845Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03809","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51c949ca5374ef3f24bcfc7b5029395e0484ed7bead0bf2c0d97e2f1c67051be","sha256:0a839037af55ec7832799fe3e65aa6d3641e3a0317fd1eed0b459f8a4cffbcc8"],"state_sha256":"2d0674a4b3e6e85ebb3b78976f11199dd780763dd2be91f5ba24683d3abeeb3f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yMlB8Tw6X/u+XQgPqKG3IbbBztNWDFC6AO7zJ8bEb3cV13SSG+8vcq7M6cfBDnYfNDHMYi4hd/Vq7BWGyzvwBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T08:01:31.917777Z","bundle_sha256":"4f6aa4e945ed778979c47276c0d029512ec72f0447923f135321fd0cc1df3d8a"}}