{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YZQ3J4QEWBTPAP4X26TFS7FDCP","short_pith_number":"pith:YZQ3J4QE","canonical_record":{"source":{"id":"2411.11713","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T16:37:41Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"141ff78a3dd9b0b87b1b7c96bbe4085dc50d1d7371c70443cc8735df6931f4bf","abstract_canon_sha256":"6cdff6a1f7eafed06215c1decf23cec694895cb9debc36c7f50e2f85a8765481"},"schema_version":"1.0"},"canonical_sha256":"c661b4f204b066f03f97d7a6597ca313ffbadacadb55addb96f43549071403bc","source":{"kind":"arxiv","id":"2411.11713","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11713","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11713v1","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11713","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"pith_short_12","alias_value":"YZQ3J4QEWBTP","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"pith_short_16","alias_value":"YZQ3J4QEWBTPAP4X","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"pith_short_8","alias_value":"YZQ3J4QE","created_at":"2026-07-05T09:37:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YZQ3J4QEWBTPAP4X26TFS7FDCP","target":"record","payload":{"canonical_record":{"source":{"id":"2411.11713","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T16:37:41Z","cross_cats_sorted":["cs.DC"],"title_canon_sha256":"141ff78a3dd9b0b87b1b7c96bbe4085dc50d1d7371c70443cc8735df6931f4bf","abstract_canon_sha256":"6cdff6a1f7eafed06215c1decf23cec694895cb9debc36c7f50e2f85a8765481"},"schema_version":"1.0"},"canonical_sha256":"c661b4f204b066f03f97d7a6597ca313ffbadacadb55addb96f43549071403bc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:37:00.012971Z","signature_b64":"RzqleQy1ejfapJE/xaQznbxWFJsuNWbtUaKFE69gGcmtf4CEudespOqM8/NPIduVZKVSjCOzYTer5zCZJhFIBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c661b4f204b066f03f97d7a6597ca313ffbadacadb55addb96f43549071403bc","last_reissued_at":"2026-07-05T09:37:00.012414Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:37:00.012414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.11713","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":"2026-07-05T09:37:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r6bKny0yXHR0c8BOyAplEWwn7ZA/4ouQh2by/m3Lj0/XgYg5BJUdf4nVc4RV0dHmjBeyriYgSyF+5HPB4RP+AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T16:44:47.316039Z"},"content_sha256":"9c9caf23f362f28036c3e2c1452feb216c4488cf2b32c673f7a0cfe639a2ab5b","schema_version":"1.0","event_id":"sha256:9c9caf23f362f28036c3e2c1452feb216c4488cf2b32c673f7a0cfe639a2ab5b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YZQ3J4QEWBTPAP4X26TFS7FDCP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.DC"],"primary_cat":"cs.LG","authors_text":"Bin Qian, Chang Xu, Cong Wang, Di Wu, Haozhen Hu, Shouling Ji, Wanglei Feng, Zhen Hong, Zhenyu Wen","submitted_at":"2024-11-18T16:37:41Z","abstract_excerpt":"Federated Learning (FL), as a mainstream privacy-preserving machine learning paradigm, offers promising solutions for privacy-critical domains such as healthcare and finance. Although extensive efforts have been dedicated from both academia and industry to improve the vanilla FL, little work focuses on the data pricing mechanism. In contrast to the straightforward in/post-training pricing techniques, we study a more difficult problem of pre-training pricing without direct information from the learning process. We propose FLMarket that integrates a two-stage, auction-based pricing mechanism wit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11713","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/2411.11713/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":"2026-07-05T09:37:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/WLXUhwtcaYt/qycXdMNg/F5XemXysGja+mCu0moekLJq38hX5U1Syvz2qtBAeWW3XrVG9nh8yLrGPw2DC1CAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T16:44:47.316955Z"},"content_sha256":"d7496b7f5c2bd28d251ba8882c0648803a8932ff61923c6bb04a7096dea5ce50","schema_version":"1.0","event_id":"sha256:d7496b7f5c2bd28d251ba8882c0648803a8932ff61923c6bb04a7096dea5ce50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YZQ3J4QEWBTPAP4X26TFS7FDCP/bundle.json","state_url":"https://pith.science/pith/YZQ3J4QEWBTPAP4X26TFS7FDCP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YZQ3J4QEWBTPAP4X26TFS7FDCP/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":"2026-08-16T16:44:47Z","links":{"resolver":"https://pith.science/pith/YZQ3J4QEWBTPAP4X26TFS7FDCP","bundle":"https://pith.science/pith/YZQ3J4QEWBTPAP4X26TFS7FDCP/bundle.json","state":"https://pith.science/pith/YZQ3J4QEWBTPAP4X26TFS7FDCP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YZQ3J4QEWBTPAP4X26TFS7FDCP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YZQ3J4QEWBTPAP4X26TFS7FDCP","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":"6cdff6a1f7eafed06215c1decf23cec694895cb9debc36c7f50e2f85a8765481","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T16:37:41Z","title_canon_sha256":"141ff78a3dd9b0b87b1b7c96bbe4085dc50d1d7371c70443cc8735df6931f4bf"},"schema_version":"1.0","source":{"id":"2411.11713","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.11713","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"arxiv_version","alias_value":"2411.11713v1","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.11713","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"pith_short_12","alias_value":"YZQ3J4QEWBTP","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"pith_short_16","alias_value":"YZQ3J4QEWBTPAP4X","created_at":"2026-07-05T09:37:00Z"},{"alias_kind":"pith_short_8","alias_value":"YZQ3J4QE","created_at":"2026-07-05T09:37:00Z"}],"graph_snapshots":[{"event_id":"sha256:d7496b7f5c2bd28d251ba8882c0648803a8932ff61923c6bb04a7096dea5ce50","target":"graph","created_at":"2026-07-05T09:37:00Z","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/2411.11713/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Federated Learning (FL), as a mainstream privacy-preserving machine learning paradigm, offers promising solutions for privacy-critical domains such as healthcare and finance. Although extensive efforts have been dedicated from both academia and industry to improve the vanilla FL, little work focuses on the data pricing mechanism. In contrast to the straightforward in/post-training pricing techniques, we study a more difficult problem of pre-training pricing without direct information from the learning process. We propose FLMarket that integrates a two-stage, auction-based pricing mechanism wit","authors_text":"Bin Qian, Chang Xu, Cong Wang, Di Wu, Haozhen Hu, Shouling Ji, Wanglei Feng, Zhen Hong, Zhenyu Wen","cross_cats":["cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T16:37:41Z","title":"FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.11713","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":"sha256:9c9caf23f362f28036c3e2c1452feb216c4488cf2b32c673f7a0cfe639a2ab5b","target":"record","created_at":"2026-07-05T09:37:00Z","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":"6cdff6a1f7eafed06215c1decf23cec694895cb9debc36c7f50e2f85a8765481","cross_cats_sorted":["cs.DC"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-18T16:37:41Z","title_canon_sha256":"141ff78a3dd9b0b87b1b7c96bbe4085dc50d1d7371c70443cc8735df6931f4bf"},"schema_version":"1.0","source":{"id":"2411.11713","kind":"arxiv","version":1}},"canonical_sha256":"c661b4f204b066f03f97d7a6597ca313ffbadacadb55addb96f43549071403bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c661b4f204b066f03f97d7a6597ca313ffbadacadb55addb96f43549071403bc","first_computed_at":"2026-07-05T09:37:00.012414Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:37:00.012414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RzqleQy1ejfapJE/xaQznbxWFJsuNWbtUaKFE69gGcmtf4CEudespOqM8/NPIduVZKVSjCOzYTer5zCZJhFIBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:37:00.012971Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.11713","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c9caf23f362f28036c3e2c1452feb216c4488cf2b32c673f7a0cfe639a2ab5b","sha256:d7496b7f5c2bd28d251ba8882c0648803a8932ff61923c6bb04a7096dea5ce50"],"state_sha256":"fa5c8300f2389ca2811486a2c926d4f6bbb76e2abefd1cedc2b74ff4e7e62aad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ftqVe0wspx/kXehwVcsNjA+wWHIrtGEOM47Dm92VOOQ6c1dTA/BDaABLCAUBjJ47G4Wq19I33m9K5d113YWxBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T16:44:47.322315Z","bundle_sha256":"ae0e5b7608b16da9603334651d45035df9367992443d56241e8be6830c4b467f"}}