{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HWPBFIVK3XHQD5QJ466ZPDFEXX","short_pith_number":"pith:HWPBFIVK","canonical_record":{"source":{"id":"2605.25447","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-25T05:56:44Z","cross_cats_sorted":[],"title_canon_sha256":"98e12fce069aa19ee7b08bcab92169f5d15c64657f1cbf9a96f8f616eaf370c3","abstract_canon_sha256":"461c832b14630815f984d5a38cb366fab3d1222dcaf1eb52cc26d0528d1e10a8"},"schema_version":"1.0"},"canonical_sha256":"3d9e12a2aaddcf01f609e7bd978ca4bde69a665df0a46b0c0041d1d194cad3cd","source":{"kind":"arxiv","id":"2605.25447","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25447","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25447v1","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25447","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"HWPBFIVK3XHQ","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"HWPBFIVK3XHQD5QJ","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"HWPBFIVK","created_at":"2026-05-26T02:04:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HWPBFIVK3XHQD5QJ466ZPDFEXX","target":"record","payload":{"canonical_record":{"source":{"id":"2605.25447","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-25T05:56:44Z","cross_cats_sorted":[],"title_canon_sha256":"98e12fce069aa19ee7b08bcab92169f5d15c64657f1cbf9a96f8f616eaf370c3","abstract_canon_sha256":"461c832b14630815f984d5a38cb366fab3d1222dcaf1eb52cc26d0528d1e10a8"},"schema_version":"1.0"},"canonical_sha256":"3d9e12a2aaddcf01f609e7bd978ca4bde69a665df0a46b0c0041d1d194cad3cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T02:04:35.963233Z","signature_b64":"tz7Z7qSbDmGmJz81qyNG3apd+gm7prxSsnecp9rhKLGfXNWMYriPLYAl8za/n7i4J18LXv3xl/Z2eWYyFGqxAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3d9e12a2aaddcf01f609e7bd978ca4bde69a665df0a46b0c0041d1d194cad3cd","last_reissued_at":"2026-05-26T02:04:35.962406Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T02:04:35.962406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.25447","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":"2026-05-26T02:04:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iQk5sDP9Sv/9f73oD5IudhV5C1EbvASt+DSGf8o3rleEOvZUaxhDtbLgtr2d9zzlsDGQMGxUTOiogN7qOB0rBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T13:31:45.606829Z"},"content_sha256":"a9b080449cd003a6058ed6f774b8b8b01e8b99d00d950153c5e05225f808956f","schema_version":"1.0","event_id":"sha256:a9b080449cd003a6058ed6f774b8b8b01e8b99d00d950153c5e05225f808956f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HWPBFIVK3XHQD5QJ466ZPDFEXX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hongkai Chen, Sifan Li, Yiwei Wang, Yujun Cai","submitted_at":"2026-05-25T05:56:44Z","abstract_excerpt":"Generating structured, editable diagrams remains a significant challenge for contemporary large language models, despite their proficiency in general-purpose vector code generation. The primary difficulty lies in the structural fragility of the output; minor errors such as misaligned connector endpoints, text labels overlapping borders, or complex layouts drifting beyond the canvas boundaries render the resulting SVG files functionally unusable for professional applications. To address these issues, we introduce GeoSVG-RL, a specialized reinforcement learning framework designed for layout-cons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25447","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/2605.25447/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":"2026-05-26T02:04:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bQpJVQZ9e4MZp3PUesL5sSp8LMu4vOPWha32pbL+IR2WKtvc+noVNAxzQSmAMnzirmtFAGkrlDlJQMsG+MThBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T13:31:45.607207Z"},"content_sha256":"08e83baf562bcad5304297027b2b7f07f2fafa119cd3949683d3436d82e932d2","schema_version":"1.0","event_id":"sha256:08e83baf562bcad5304297027b2b7f07f2fafa119cd3949683d3436d82e932d2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HWPBFIVK3XHQD5QJ466ZPDFEXX/bundle.json","state_url":"https://pith.science/pith/HWPBFIVK3XHQD5QJ466ZPDFEXX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HWPBFIVK3XHQD5QJ466ZPDFEXX/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":"2026-05-28T13:31:45Z","links":{"resolver":"https://pith.science/pith/HWPBFIVK3XHQD5QJ466ZPDFEXX","bundle":"https://pith.science/pith/HWPBFIVK3XHQD5QJ466ZPDFEXX/bundle.json","state":"https://pith.science/pith/HWPBFIVK3XHQD5QJ466ZPDFEXX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HWPBFIVK3XHQD5QJ466ZPDFEXX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HWPBFIVK3XHQD5QJ466ZPDFEXX","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":"461c832b14630815f984d5a38cb366fab3d1222dcaf1eb52cc26d0528d1e10a8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-25T05:56:44Z","title_canon_sha256":"98e12fce069aa19ee7b08bcab92169f5d15c64657f1cbf9a96f8f616eaf370c3"},"schema_version":"1.0","source":{"id":"2605.25447","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25447","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25447v1","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25447","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"pith_short_12","alias_value":"HWPBFIVK3XHQ","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"pith_short_16","alias_value":"HWPBFIVK3XHQD5QJ","created_at":"2026-05-26T02:04:35Z"},{"alias_kind":"pith_short_8","alias_value":"HWPBFIVK","created_at":"2026-05-26T02:04:35Z"}],"graph_snapshots":[{"event_id":"sha256:08e83baf562bcad5304297027b2b7f07f2fafa119cd3949683d3436d82e932d2","target":"graph","created_at":"2026-05-26T02:04:35Z","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/2605.25447/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating structured, editable diagrams remains a significant challenge for contemporary large language models, despite their proficiency in general-purpose vector code generation. The primary difficulty lies in the structural fragility of the output; minor errors such as misaligned connector endpoints, text labels overlapping borders, or complex layouts drifting beyond the canvas boundaries render the resulting SVG files functionally unusable for professional applications. To address these issues, we introduce GeoSVG-RL, a specialized reinforcement learning framework designed for layout-cons","authors_text":"Hongkai Chen, Sifan Li, Yiwei Wang, Yujun Cai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-25T05:56:44Z","title":"GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25447","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:a9b080449cd003a6058ed6f774b8b8b01e8b99d00d950153c5e05225f808956f","target":"record","created_at":"2026-05-26T02:04:35Z","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":"461c832b14630815f984d5a38cb366fab3d1222dcaf1eb52cc26d0528d1e10a8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-25T05:56:44Z","title_canon_sha256":"98e12fce069aa19ee7b08bcab92169f5d15c64657f1cbf9a96f8f616eaf370c3"},"schema_version":"1.0","source":{"id":"2605.25447","kind":"arxiv","version":1}},"canonical_sha256":"3d9e12a2aaddcf01f609e7bd978ca4bde69a665df0a46b0c0041d1d194cad3cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d9e12a2aaddcf01f609e7bd978ca4bde69a665df0a46b0c0041d1d194cad3cd","first_computed_at":"2026-05-26T02:04:35.962406Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:35.962406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tz7Z7qSbDmGmJz81qyNG3apd+gm7prxSsnecp9rhKLGfXNWMYriPLYAl8za/n7i4J18LXv3xl/Z2eWYyFGqxAA==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:35.963233Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25447","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9b080449cd003a6058ed6f774b8b8b01e8b99d00d950153c5e05225f808956f","sha256:08e83baf562bcad5304297027b2b7f07f2fafa119cd3949683d3436d82e932d2"],"state_sha256":"a7f6186586c678494974e59aedc1b470426cc2253953278a4be14e1bbeb98c57"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xh/FOOc9+vZtfCSn8c16/aK05EfSwa95ih3xmIPd0vQLcTV1WlsKugVdLDW3zuH34Sfp1vTnkzjZ3bHicFDvBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T13:31:45.609246Z","bundle_sha256":"fc783452d81238b4cfc53a31ce9acc44c20e055e306f6d0c7f0e632a56b2da81"}}