{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:Y3MQDVNKVCD3N3P3NBORAF5DBI","short_pith_number":"pith:Y3MQDVNK","canonical_record":{"source":{"id":"2509.01124","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2025-09-01T04:37:51Z","cross_cats_sorted":[],"title_canon_sha256":"2c5ef768ce6dab2284ff206c5d94379f4bd214a4c22bc7a923ee65703d1b300e","abstract_canon_sha256":"fb7f648698b70f0ba7d13704ffe540cfeb6ba9d52a5a51040b07cda2c81facf8"},"schema_version":"1.0"},"canonical_sha256":"c6d901d5aaa887b6edfb685d1017a30a011307abe039bd63131fd342f078ad4a","source":{"kind":"arxiv","id":"2509.01124","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01124","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01124v1","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01124","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_12","alias_value":"Y3MQDVNKVCD3","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_16","alias_value":"Y3MQDVNKVCD3N3P3","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_8","alias_value":"Y3MQDVNK","created_at":"2026-07-05T12:02:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:Y3MQDVNKVCD3N3P3NBORAF5DBI","target":"record","payload":{"canonical_record":{"source":{"id":"2509.01124","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2025-09-01T04:37:51Z","cross_cats_sorted":[],"title_canon_sha256":"2c5ef768ce6dab2284ff206c5d94379f4bd214a4c22bc7a923ee65703d1b300e","abstract_canon_sha256":"fb7f648698b70f0ba7d13704ffe540cfeb6ba9d52a5a51040b07cda2c81facf8"},"schema_version":"1.0"},"canonical_sha256":"c6d901d5aaa887b6edfb685d1017a30a011307abe039bd63131fd342f078ad4a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:02:54.305545Z","signature_b64":"MVcsSzcdE5OvuTxLGxBID+XJtSuC8bp8rr6kIqRKUrCMFLmljiG8cNz4o0HFm28hhx7K3UfqnaRnu2R88RLaDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6d901d5aaa887b6edfb685d1017a30a011307abe039bd63131fd342f078ad4a","last_reissued_at":"2026-07-05T12:02:54.305011Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:02:54.305011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.01124","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":"2026-07-05T12:02:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VWbT/HawATOZ+PNQfZo3YFWpEuTdzhuRdERfwtifzAvle9U2hs0kUZLjUQvvz0xu7X5h4fMIsdYKQlyZhTUJBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T22:26:09.727218Z"},"content_sha256":"e0815cafc2d1af0d54b2ffa03a711b298d689887b47314bd73d01f3222bf9c04","schema_version":"1.0","event_id":"sha256:e0815cafc2d1af0d54b2ffa03a711b298d689887b47314bd73d01f3222bf9c04"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:Y3MQDVNKVCD3N3P3NBORAF5DBI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SI","authors_text":"Hongzhi Yin, Quoc Viet Hung Nguyen, Tong Chen, Wei Jiang, Wei Yuan, Xiangyu Zhao","submitted_at":"2025-09-01T04:37:51Z","abstract_excerpt":"Social media platforms generate vast, complex graph-structured data, facilitating diverse tasks such as rumor detection, bot identification, and influence modeling. Real-world applications like public opinion monitoring and stock trading -- which have a strong attachment to social media -- demand models that are performant across diverse tasks and datasets. However, most existing solutions are purely data-driven, exhibiting vulnerability to the inherent noise within social media data. Moreover, the reliance on task-specific model design challenges efficient reuse of the same model architecture"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01124","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/2509.01124/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":"2026-07-05T12:02:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VrajvqU4hObQ0bpmDOfpQ4DphJyQybjYmcamlSyYPAO7AGDJ4s78Gj7QlJ989aCXi5vU32wLQiSLexVDIa/eCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T22:26:09.727871Z"},"content_sha256":"630b2ed4bdecdbc00637199d8d484275a04bf6bae3a8e3dce601b75f4c4004ba","schema_version":"1.0","event_id":"sha256:630b2ed4bdecdbc00637199d8d484275a04bf6bae3a8e3dce601b75f4c4004ba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y3MQDVNKVCD3N3P3NBORAF5DBI/bundle.json","state_url":"https://pith.science/pith/Y3MQDVNKVCD3N3P3NBORAF5DBI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y3MQDVNKVCD3N3P3NBORAF5DBI/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":"2026-08-04T22:26:09Z","links":{"resolver":"https://pith.science/pith/Y3MQDVNKVCD3N3P3NBORAF5DBI","bundle":"https://pith.science/pith/Y3MQDVNKVCD3N3P3NBORAF5DBI/bundle.json","state":"https://pith.science/pith/Y3MQDVNKVCD3N3P3NBORAF5DBI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y3MQDVNKVCD3N3P3NBORAF5DBI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Y3MQDVNKVCD3N3P3NBORAF5DBI","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":"fb7f648698b70f0ba7d13704ffe540cfeb6ba9d52a5a51040b07cda2c81facf8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2025-09-01T04:37:51Z","title_canon_sha256":"2c5ef768ce6dab2284ff206c5d94379f4bd214a4c22bc7a923ee65703d1b300e"},"schema_version":"1.0","source":{"id":"2509.01124","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01124","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01124v1","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01124","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_12","alias_value":"Y3MQDVNKVCD3","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_16","alias_value":"Y3MQDVNKVCD3N3P3","created_at":"2026-07-05T12:02:54Z"},{"alias_kind":"pith_short_8","alias_value":"Y3MQDVNK","created_at":"2026-07-05T12:02:54Z"}],"graph_snapshots":[{"event_id":"sha256:630b2ed4bdecdbc00637199d8d484275a04bf6bae3a8e3dce601b75f4c4004ba","target":"graph","created_at":"2026-07-05T12:02:54Z","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/2509.01124/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Social media platforms generate vast, complex graph-structured data, facilitating diverse tasks such as rumor detection, bot identification, and influence modeling. Real-world applications like public opinion monitoring and stock trading -- which have a strong attachment to social media -- demand models that are performant across diverse tasks and datasets. However, most existing solutions are purely data-driven, exhibiting vulnerability to the inherent noise within social media data. Moreover, the reliance on task-specific model design challenges efficient reuse of the same model architecture","authors_text":"Hongzhi Yin, Quoc Viet Hung Nguyen, Tong Chen, Wei Jiang, Wei Yuan, Xiangyu Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2025-09-01T04:37:51Z","title":"Towards Propagation-aware Representation Learning for Supervised Social Media Graph Analytics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01124","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:e0815cafc2d1af0d54b2ffa03a711b298d689887b47314bd73d01f3222bf9c04","target":"record","created_at":"2026-07-05T12:02:54Z","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":"fb7f648698b70f0ba7d13704ffe540cfeb6ba9d52a5a51040b07cda2c81facf8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2025-09-01T04:37:51Z","title_canon_sha256":"2c5ef768ce6dab2284ff206c5d94379f4bd214a4c22bc7a923ee65703d1b300e"},"schema_version":"1.0","source":{"id":"2509.01124","kind":"arxiv","version":1}},"canonical_sha256":"c6d901d5aaa887b6edfb685d1017a30a011307abe039bd63131fd342f078ad4a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6d901d5aaa887b6edfb685d1017a30a011307abe039bd63131fd342f078ad4a","first_computed_at":"2026-07-05T12:02:54.305011Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:02:54.305011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MVcsSzcdE5OvuTxLGxBID+XJtSuC8bp8rr6kIqRKUrCMFLmljiG8cNz4o0HFm28hhx7K3UfqnaRnu2R88RLaDw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:02:54.305545Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.01124","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0815cafc2d1af0d54b2ffa03a711b298d689887b47314bd73d01f3222bf9c04","sha256:630b2ed4bdecdbc00637199d8d484275a04bf6bae3a8e3dce601b75f4c4004ba"],"state_sha256":"b8126df27891a5db336768b4996670d9676253b02421cd0b8635be58db869932"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9uo7qoxZ1yRzUDLT+OLYFZFUlqBUKnvx2oWeuJ4Bu8e/x6I8uXfVCGHrhN7y1i2KQPq8qmOOdroTTTuX2fcnBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T22:26:09.731989Z","bundle_sha256":"f1ab535fd2f2bcc68676b69fcc329f37ed40832f0ebd119a2d033a83d0c450c8"}}