{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UP55FZNJLHGRFUQQYUAX2U52GR","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":"8a8a826dec25417e225e4a4976149f2c4808df1711543e7216bea34aff41019e","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T08:02:19Z","title_canon_sha256":"916b3823c330fa40a7f6a1140e6ff865163d95889297746054b20eb11af1ea90"},"schema_version":"1.0","source":{"id":"2606.18788","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18788","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18788v1","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18788","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"pith_short_12","alias_value":"UP55FZNJLHGR","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"pith_short_16","alias_value":"UP55FZNJLHGRFUQQ","created_at":"2026-06-19T16:11:47Z"},{"alias_kind":"pith_short_8","alias_value":"UP55FZNJ","created_at":"2026-06-19T16:11:47Z"}],"graph_snapshots":[{"event_id":"sha256:fda644106df2f076d2ca57a2efeb8606cb6f8d45b3b17b746476c242807b5d25","target":"graph","created_at":"2026-06-19T16:11:47Z","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/2606.18788/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Teaching machines to emulate natural handwriting styles remains an open challenge, as it requires synthesizing stroke sequences that dynamically vary in shape, texture, pressure and script - not only across individuals, but also within a single person's handwriting. Attempts at this challenge have largely explored deep learning methods in both online and offline settings. However, these approaches are often constrained by style-specific architectural choices, heavy reliance on large datasets, high compute costs, and a lack of flexible control over writing styles through natural language. To th","authors_text":"B\\\"orje F. Karlsson, Jaward Sesay, Yue Yu","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T08:02:19Z","title":"HandwritingAgent: Language-Driven Handwriting Synthesis in Scalable Vector Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18788","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:f43cdf868ed32c63e29fe691399e880edcdd2b4e6624d955d2e00a0b024e5019","target":"record","created_at":"2026-06-19T16:11:47Z","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":"8a8a826dec25417e225e4a4976149f2c4808df1711543e7216bea34aff41019e","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-17T08:02:19Z","title_canon_sha256":"916b3823c330fa40a7f6a1140e6ff865163d95889297746054b20eb11af1ea90"},"schema_version":"1.0","source":{"id":"2606.18788","kind":"arxiv","version":1}},"canonical_sha256":"a3fbd2e5a959cd12d210c5017d53ba347c0ec5a38c46026d8eca9f2c3636f884","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3fbd2e5a959cd12d210c5017d53ba347c0ec5a38c46026d8eca9f2c3636f884","first_computed_at":"2026-06-19T16:11:47.276128Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:47.276128Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VTt6GOZnnvhbigm6r3x/4fVzkJMauwoN1AEYTnlmjD/NSDrO19o+pZ6jT5eyi2gyOhIX/cDFvXqxTZN2eSEeDg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:47.276483Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18788","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f43cdf868ed32c63e29fe691399e880edcdd2b4e6624d955d2e00a0b024e5019","sha256:fda644106df2f076d2ca57a2efeb8606cb6f8d45b3b17b746476c242807b5d25"],"state_sha256":"2227212f9b4f3e3a15d219312022d70153ef9665e582c4d8d591f74a57097ee1"}