{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZIY5EFPKJ5S4WWGTWEPCTH7A4E","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":"4c1d662049359509062cfce49d440883f797788c54523c31c27d81b308b1a210","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-27T14:32:15Z","title_canon_sha256":"5fe0cdd30ddda1894b3e3b238b0ea853b4ccf2b91cd5310a4f35d205403c3a35"},"schema_version":"1.0","source":{"id":"2508.19924","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.19924","created_at":"2026-07-05T12:00:20Z"},{"alias_kind":"arxiv_version","alias_value":"2508.19924v1","created_at":"2026-07-05T12:00:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.19924","created_at":"2026-07-05T12:00:20Z"},{"alias_kind":"pith_short_12","alias_value":"ZIY5EFPKJ5S4","created_at":"2026-07-05T12:00:20Z"},{"alias_kind":"pith_short_16","alias_value":"ZIY5EFPKJ5S4WWGT","created_at":"2026-07-05T12:00:20Z"},{"alias_kind":"pith_short_8","alias_value":"ZIY5EFPK","created_at":"2026-07-05T12:00:20Z"}],"graph_snapshots":[{"event_id":"sha256:f8dd07a17fee1664f8cf88d4d5441736d845ebd7f18e07ba400e36a101a60fde","target":"graph","created_at":"2026-07-05T12:00:20Z","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/2508.19924/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Network traffic classification using pre-training models has shown promising results, but existing methods struggle to capture packet structural characteristics, flow-level behaviors, hierarchical protocol semantics, and inter-packet contextual relationships. To address these challenges, we propose FlowletFormer, a BERT-based pre-training model specifically designed for network traffic analysis. FlowletFormer introduces a Coherent Behavior-Aware Traffic Representation Model for segmenting traffic into semantically meaningful units, a Protocol Stack Alignment-Based Embedding Layer to capture mu","authors_text":"Liming Liu, Meijia Hou, Mingwei Xu, Qing Li, Ruoyu Li, Yong Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-27T14:32:15Z","title":"FlowletFormer: Network Behavioral Semantic Aware Pre-training Model for Traffic Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.19924","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:e02bde6515275b7420062b569b05dea272178e5f55b7f2e33f7883cda3b9e46b","target":"record","created_at":"2026-07-05T12:00:20Z","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":"4c1d662049359509062cfce49d440883f797788c54523c31c27d81b308b1a210","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-08-27T14:32:15Z","title_canon_sha256":"5fe0cdd30ddda1894b3e3b238b0ea853b4ccf2b91cd5310a4f35d205403c3a35"},"schema_version":"1.0","source":{"id":"2508.19924","kind":"arxiv","version":1}},"canonical_sha256":"ca31d215ea4f65cb58d3b11e299fe0e13f534ed53fe831a4107cabe0ddbceb5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ca31d215ea4f65cb58d3b11e299fe0e13f534ed53fe831a4107cabe0ddbceb5c","first_computed_at":"2026-07-05T12:00:20.152592Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:20.152592Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QSJVx0SGOk8q7C7MlFY/QhpbUrwJBV1EvZSvm2dr5Jl+VJJKM1U9HOXvx5KV8IHHItLcM8eRSRv0ZHZK2ho2Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:20.153028Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.19924","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e02bde6515275b7420062b569b05dea272178e5f55b7f2e33f7883cda3b9e46b","sha256:f8dd07a17fee1664f8cf88d4d5441736d845ebd7f18e07ba400e36a101a60fde"],"state_sha256":"342d665914f314bde51ecb774e957a74bf4b6cc601c4f3054b33be38c81de98d"}