{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PTW5JHME4PBMFAYJZG4NMX5ES4","short_pith_number":"pith:PTW5JHME","canonical_record":{"source":{"id":"2501.03992","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-07T18:50:06Z","cross_cats_sorted":[],"title_canon_sha256":"4a8a61e4026db5751a7cb685cfeff604da63c969e494fb5395086d246d640171","abstract_canon_sha256":"f98cc360c0da27bacd391f9dfcf9e24bd5ea292bc4037168b8ad36182400f331"},"schema_version":"1.0"},"canonical_sha256":"7cedd49d84e3c2c28309c9b8d65fa4973d324453c03b16efa5c3848d5b93157c","source":{"kind":"arxiv","id":"2501.03992","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.03992","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"arxiv_version","alias_value":"2501.03992v1","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.03992","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"pith_short_12","alias_value":"PTW5JHME4PBM","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"pith_short_16","alias_value":"PTW5JHME4PBMFAYJ","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"pith_short_8","alias_value":"PTW5JHME","created_at":"2026-07-05T09:58:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PTW5JHME4PBMFAYJZG4NMX5ES4","target":"record","payload":{"canonical_record":{"source":{"id":"2501.03992","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-07T18:50:06Z","cross_cats_sorted":[],"title_canon_sha256":"4a8a61e4026db5751a7cb685cfeff604da63c969e494fb5395086d246d640171","abstract_canon_sha256":"f98cc360c0da27bacd391f9dfcf9e24bd5ea292bc4037168b8ad36182400f331"},"schema_version":"1.0"},"canonical_sha256":"7cedd49d84e3c2c28309c9b8d65fa4973d324453c03b16efa5c3848d5b93157c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:58:14.071073Z","signature_b64":"zduM09pNyojwheSNd0GwRsRukzCR1QacfdKkeVf0/3dPfwawp9Smd4t6UVBabLHDukcesZmsRVNRdRK1GnFeCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7cedd49d84e3c2c28309c9b8d65fa4973d324453c03b16efa5c3848d5b93157c","last_reissued_at":"2026-07-05T09:58:14.070739Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:58:14.070739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.03992","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":"2026-07-05T09:58:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"emtsUU822hFngtqj88HBc97FpkvwkqgOk4CiNv0IEMydPdk4FTajLtAYRlkZXejKkrMujC/85PCpbKGP/ExnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T12:28:01.079004Z"},"content_sha256":"5724dc97b2c8de62ac0cf0f32ab8c5193c339d54aa1dff99151ece93534acfcf","schema_version":"1.0","event_id":"sha256:5724dc97b2c8de62ac0cf0f32ab8c5193c339d54aa1dff99151ece93534acfcf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PTW5JHME4PBMFAYJZG4NMX5ES4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NeuralSVG: An Implicit Representation for Text-to-Vector Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel Cohen-Or, Elad Richardson, Sagi Polaczek, Yael Vinker, Yuval Alaluf","submitted_at":"2025-01-07T18:50:06Z","abstract_excerpt":"Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vision-language and diffusion models have fueled interest in text-to-vector graphics generation. However, existing approaches often suffer from over-parameterized outputs or treat the layered structure - a core feature of vector graphics - as a secondary goal, diminishing their practical use. Recognizing the importance of layered SVG representations, we propose NeuralSVG, an implicit neural representation for generatin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.03992","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/2501.03992/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":"2026-07-05T09:58:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DBX++HqRufvlotyEbjcEtoR4zThQrhgxe5QqCVQsXZfFiKLBFER4Lol/u+c/38CVdLmlBmlEswX+sg06yao6BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T12:28:01.079380Z"},"content_sha256":"68aedb457f122f38b4aa847175097cc1c6c3d22e5217dbb32ec6ed93afc63949","schema_version":"1.0","event_id":"sha256:68aedb457f122f38b4aa847175097cc1c6c3d22e5217dbb32ec6ed93afc63949"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PTW5JHME4PBMFAYJZG4NMX5ES4/bundle.json","state_url":"https://pith.science/pith/PTW5JHME4PBMFAYJZG4NMX5ES4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PTW5JHME4PBMFAYJZG4NMX5ES4/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":"2026-08-18T12:28:01Z","links":{"resolver":"https://pith.science/pith/PTW5JHME4PBMFAYJZG4NMX5ES4","bundle":"https://pith.science/pith/PTW5JHME4PBMFAYJZG4NMX5ES4/bundle.json","state":"https://pith.science/pith/PTW5JHME4PBMFAYJZG4NMX5ES4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PTW5JHME4PBMFAYJZG4NMX5ES4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PTW5JHME4PBMFAYJZG4NMX5ES4","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":"f98cc360c0da27bacd391f9dfcf9e24bd5ea292bc4037168b8ad36182400f331","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-07T18:50:06Z","title_canon_sha256":"4a8a61e4026db5751a7cb685cfeff604da63c969e494fb5395086d246d640171"},"schema_version":"1.0","source":{"id":"2501.03992","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.03992","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"arxiv_version","alias_value":"2501.03992v1","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.03992","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"pith_short_12","alias_value":"PTW5JHME4PBM","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"pith_short_16","alias_value":"PTW5JHME4PBMFAYJ","created_at":"2026-07-05T09:58:14Z"},{"alias_kind":"pith_short_8","alias_value":"PTW5JHME","created_at":"2026-07-05T09:58:14Z"}],"graph_snapshots":[{"event_id":"sha256:68aedb457f122f38b4aa847175097cc1c6c3d22e5217dbb32ec6ed93afc63949","target":"graph","created_at":"2026-07-05T09:58:14Z","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/2501.03992/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vision-language and diffusion models have fueled interest in text-to-vector graphics generation. However, existing approaches often suffer from over-parameterized outputs or treat the layered structure - a core feature of vector graphics - as a secondary goal, diminishing their practical use. Recognizing the importance of layered SVG representations, we propose NeuralSVG, an implicit neural representation for generatin","authors_text":"Daniel Cohen-Or, Elad Richardson, Sagi Polaczek, Yael Vinker, Yuval Alaluf","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-07T18:50:06Z","title":"NeuralSVG: An Implicit Representation for Text-to-Vector Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.03992","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":"sha256:5724dc97b2c8de62ac0cf0f32ab8c5193c339d54aa1dff99151ece93534acfcf","target":"record","created_at":"2026-07-05T09:58:14Z","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":"f98cc360c0da27bacd391f9dfcf9e24bd5ea292bc4037168b8ad36182400f331","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-07T18:50:06Z","title_canon_sha256":"4a8a61e4026db5751a7cb685cfeff604da63c969e494fb5395086d246d640171"},"schema_version":"1.0","source":{"id":"2501.03992","kind":"arxiv","version":1}},"canonical_sha256":"7cedd49d84e3c2c28309c9b8d65fa4973d324453c03b16efa5c3848d5b93157c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7cedd49d84e3c2c28309c9b8d65fa4973d324453c03b16efa5c3848d5b93157c","first_computed_at":"2026-07-05T09:58:14.070739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:58:14.070739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zduM09pNyojwheSNd0GwRsRukzCR1QacfdKkeVf0/3dPfwawp9Smd4t6UVBabLHDukcesZmsRVNRdRK1GnFeCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:58:14.071073Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.03992","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5724dc97b2c8de62ac0cf0f32ab8c5193c339d54aa1dff99151ece93534acfcf","sha256:68aedb457f122f38b4aa847175097cc1c6c3d22e5217dbb32ec6ed93afc63949"],"state_sha256":"7524c2c44bbded173d0b735a22bacf6c11b1eed8bec22b9db24a316147fc4e26"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Klq/OjgyGVMa57lXs6WwbVe8cDM38XfDjjJG/RjbZ6rw49Qyaq4kM4qUm9D8uKQLq5OEXyl5L3wfbD/kP01GCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T12:28:01.081921Z","bundle_sha256":"4bada4a614218d155d3b09d85f8bcbe5c064bd49687f29cf808456ed14e8ff2f"}}