{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZPIYN25T23WNKFFPWY54WSXCJB","short_pith_number":"pith:ZPIYN25T","canonical_record":{"source":{"id":"2408.12659","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T18:05:41Z","cross_cats_sorted":["cs.AI","cs.IT","math.IT","stat.ML"],"title_canon_sha256":"2f6be87d41f62a8f3274f1d914599a1ad5b5f3d8fba1cfbfeba0a5ba768d899c","abstract_canon_sha256":"6cd923d150a550fd5832854d5f8e0adcd9e34757695ec55f36f6a940a352936d"},"schema_version":"1.0"},"canonical_sha256":"cbd186ebb3d6ecd514afb63bcb4ae24859018a2300cb2bf50109f340f7c9af44","source":{"kind":"arxiv","id":"2408.12659","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.12659","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"arxiv_version","alias_value":"2408.12659v1","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.12659","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"pith_short_12","alias_value":"ZPIYN25T23WN","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"pith_short_16","alias_value":"ZPIYN25T23WNKFFP","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"pith_short_8","alias_value":"ZPIYN25T","created_at":"2026-07-05T08:58:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZPIYN25T23WNKFFPWY54WSXCJB","target":"record","payload":{"canonical_record":{"source":{"id":"2408.12659","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T18:05:41Z","cross_cats_sorted":["cs.AI","cs.IT","math.IT","stat.ML"],"title_canon_sha256":"2f6be87d41f62a8f3274f1d914599a1ad5b5f3d8fba1cfbfeba0a5ba768d899c","abstract_canon_sha256":"6cd923d150a550fd5832854d5f8e0adcd9e34757695ec55f36f6a940a352936d"},"schema_version":"1.0"},"canonical_sha256":"cbd186ebb3d6ecd514afb63bcb4ae24859018a2300cb2bf50109f340f7c9af44","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:58:28.113891Z","signature_b64":"V+utMT1iHjzmnco/f6mzCaOnvzwZnLcpgZQFFAZWGPNZR8Q+rjmUJ5Lv5cZxfIhtz3hLTf1E0INDpP73FLDHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cbd186ebb3d6ecd514afb63bcb4ae24859018a2300cb2bf50109f340f7c9af44","last_reissued_at":"2026-07-05T08:58:28.113356Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:58:28.113356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.12659","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":"2026-07-05T08:58:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ccu0Dwb3v57055fwEcpBfcjNy8MWIweXZXzUXmXC3+St5AfRFJiskFUTmI/lsXJ0Tg1N2RbNGMvwALwQNkolDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:31:32.285169Z"},"content_sha256":"b82ce18011d587ce8caadb2099745322c85e432995dd3c2c794e71b34f7cdc7b","schema_version":"1.0","event_id":"sha256:b82ce18011d587ce8caadb2099745322c85e432995dd3c2c794e71b34f7cdc7b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZPIYN25T23WNKFFPWY54WSXCJB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.IT","math.IT","stat.ML"],"primary_cat":"cs.LG","authors_text":"Ali Falahati, Mohammad Mohammadi Amiri","submitted_at":"2024-08-22T18:05:41Z","abstract_excerpt":"With the emergence of data marketplaces, the demand for methods to assess the value of data has increased significantly. While numerous techniques have been proposed for this purpose, none have specifically addressed graphs as the main data modality. Graphs are widely used across various fields, ranging from chemical molecules to social networks. In this study, we break down graphs into two main components: structural and featural, and we focus on evaluating data without relying on specific task-related metrics, making it applicable in practical scenarios where validation requirements may be l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.12659","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/2408.12659/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":"2026-07-05T08:58:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6MlkknlBwIC6WZ53eF5gDfuG8ZiO/GmW4XqTva2KeVzi9udWPUjlst9CEfN5V+bRSw6zzNh+loh0AVuZXHLfAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:31:32.285550Z"},"content_sha256":"7e63c339fca11a88bf2e0ef5bb31ba7daa875602356f3c5cbf79164d21f08189","schema_version":"1.0","event_id":"sha256:7e63c339fca11a88bf2e0ef5bb31ba7daa875602356f3c5cbf79164d21f08189"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZPIYN25T23WNKFFPWY54WSXCJB/bundle.json","state_url":"https://pith.science/pith/ZPIYN25T23WNKFFPWY54WSXCJB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZPIYN25T23WNKFFPWY54WSXCJB/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":"2026-08-05T22:31:32Z","links":{"resolver":"https://pith.science/pith/ZPIYN25T23WNKFFPWY54WSXCJB","bundle":"https://pith.science/pith/ZPIYN25T23WNKFFPWY54WSXCJB/bundle.json","state":"https://pith.science/pith/ZPIYN25T23WNKFFPWY54WSXCJB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZPIYN25T23WNKFFPWY54WSXCJB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZPIYN25T23WNKFFPWY54WSXCJB","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":"6cd923d150a550fd5832854d5f8e0adcd9e34757695ec55f36f6a940a352936d","cross_cats_sorted":["cs.AI","cs.IT","math.IT","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T18:05:41Z","title_canon_sha256":"2f6be87d41f62a8f3274f1d914599a1ad5b5f3d8fba1cfbfeba0a5ba768d899c"},"schema_version":"1.0","source":{"id":"2408.12659","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.12659","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"arxiv_version","alias_value":"2408.12659v1","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.12659","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"pith_short_12","alias_value":"ZPIYN25T23WN","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"pith_short_16","alias_value":"ZPIYN25T23WNKFFP","created_at":"2026-07-05T08:58:28Z"},{"alias_kind":"pith_short_8","alias_value":"ZPIYN25T","created_at":"2026-07-05T08:58:28Z"}],"graph_snapshots":[{"event_id":"sha256:7e63c339fca11a88bf2e0ef5bb31ba7daa875602356f3c5cbf79164d21f08189","target":"graph","created_at":"2026-07-05T08:58:28Z","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/2408.12659/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the emergence of data marketplaces, the demand for methods to assess the value of data has increased significantly. While numerous techniques have been proposed for this purpose, none have specifically addressed graphs as the main data modality. Graphs are widely used across various fields, ranging from chemical molecules to social networks. In this study, we break down graphs into two main components: structural and featural, and we focus on evaluating data without relying on specific task-related metrics, making it applicable in practical scenarios where validation requirements may be l","authors_text":"Ali Falahati, Mohammad Mohammadi Amiri","cross_cats":["cs.AI","cs.IT","math.IT","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T18:05:41Z","title":"Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.12659","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:b82ce18011d587ce8caadb2099745322c85e432995dd3c2c794e71b34f7cdc7b","target":"record","created_at":"2026-07-05T08:58:28Z","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":"6cd923d150a550fd5832854d5f8e0adcd9e34757695ec55f36f6a940a352936d","cross_cats_sorted":["cs.AI","cs.IT","math.IT","stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T18:05:41Z","title_canon_sha256":"2f6be87d41f62a8f3274f1d914599a1ad5b5f3d8fba1cfbfeba0a5ba768d899c"},"schema_version":"1.0","source":{"id":"2408.12659","kind":"arxiv","version":1}},"canonical_sha256":"cbd186ebb3d6ecd514afb63bcb4ae24859018a2300cb2bf50109f340f7c9af44","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cbd186ebb3d6ecd514afb63bcb4ae24859018a2300cb2bf50109f340f7c9af44","first_computed_at":"2026-07-05T08:58:28.113356Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:58:28.113356Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V+utMT1iHjzmnco/f6mzCaOnvzwZnLcpgZQFFAZWGPNZR8Q+rjmUJ5Lv5cZxfIhtz3hLTf1E0INDpP73FLDHCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:58:28.113891Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.12659","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b82ce18011d587ce8caadb2099745322c85e432995dd3c2c794e71b34f7cdc7b","sha256:7e63c339fca11a88bf2e0ef5bb31ba7daa875602356f3c5cbf79164d21f08189"],"state_sha256":"bd46b733733aacb3a5b22ad2d92644c6d75aabdb5047549cdfba97ceba611f90"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zbZxFhvd5rg3w6hGwyyCpNTFMhYZsIDlcHEhqvIPb+ZGLfnVBsCM6lkiHrRgYiYokEfE2HU9/bujr4E0Dl2/Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:31:32.288470Z","bundle_sha256":"dcc8a8deac70889087bfa5e9698c46a4d6c46497fb58b54b152dd95b180810c6"}}