{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:3N25LWPMFWSIFUM2XSDJR7KVPR","short_pith_number":"pith:3N25LWPM","canonical_record":{"source":{"id":"2607.16330","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T18:22:21Z","cross_cats_sorted":[],"title_canon_sha256":"0c873072b0521a2399f8d01e217b27de237a3b6582c574f92116cdb982eb0446","abstract_canon_sha256":"be7a226b2d99a896115ea5c5c495ef3a7b123f79939a9c7b43d08ae923e50b9a"},"schema_version":"1.0"},"canonical_sha256":"db75d5d9ec2da482d19abc8698fd557c5826d6be49c0e7e6efb2efea2687a0db","source":{"kind":"arxiv","id":"2607.16330","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.16330","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.16330v1","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.16330","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"pith_short_12","alias_value":"3N25LWPMFWSI","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"pith_short_16","alias_value":"3N25LWPMFWSIFUM2","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"pith_short_8","alias_value":"3N25LWPM","created_at":"2026-07-21T00:20:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:3N25LWPMFWSIFUM2XSDJR7KVPR","target":"record","payload":{"canonical_record":{"source":{"id":"2607.16330","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T18:22:21Z","cross_cats_sorted":[],"title_canon_sha256":"0c873072b0521a2399f8d01e217b27de237a3b6582c574f92116cdb982eb0446","abstract_canon_sha256":"be7a226b2d99a896115ea5c5c495ef3a7b123f79939a9c7b43d08ae923e50b9a"},"schema_version":"1.0"},"canonical_sha256":"db75d5d9ec2da482d19abc8698fd557c5826d6be49c0e7e6efb2efea2687a0db","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-21T00:20:12.738869Z","signature_b64":"G8IJiEkiAg4911qw9f9PRKgZbhF+Is4Aw3jv66d4kWw7wv6EvxoNYCVC4lC+9YnGJB0fyvcuOJGDFpW/WszACQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db75d5d9ec2da482d19abc8698fd557c5826d6be49c0e7e6efb2efea2687a0db","last_reissued_at":"2026-07-21T00:20:12.737974Z","signature_status":"signed_v1","first_computed_at":"2026-07-21T00:20:12.737974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.16330","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":"2026-07-21T00:20:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ue8Bt6xayOzDi4icavvo7LlTT/N9pgtovdU+/UeXe/6mbND56HpdfD8yTABlxBLAHv2R5lNulyXygZfp7iIfAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:41:00.333118Z"},"content_sha256":"14371e9aa038e4839cd066d09965cba9d6ccb21fa75f99114f71d080de2829f2","schema_version":"1.0","event_id":"sha256:14371e9aa038e4839cd066d09965cba9d6ccb21fa75f99114f71d080de2829f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:3N25LWPMFWSIFUM2XSDJR7KVPR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Local Brushstroke Quality Assessment via Vision-Language Feedback","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hirokatsu Kataoka, Mio Mitamura","submitted_at":"2026-07-15T18:22:21Z","abstract_excerpt":"This paper investigates whether multimodal LLMs can evaluate local brushstroke quality in calligraphy and generate educationally useful natural language feedback. We construct an evaluation framework in which three multimodal LLMs (GPT-4o, Claude Sonnet 4, and Gemini 2.5 Flash) assess before-after image pairs of calligraphic works using a five-point ordinal scale, and compare their outputs against scores assigned by three expert calligraphers. We additionally examine a Retrieval-Augmented Generation (RAG) variant of Claude as a preliminary condition. Results show that all models achieve useful"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.16330","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/2607.16330/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":"2026-07-21T00:20:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FdwOHrydSMJfJJJGaFZKPSYflAQsaLV8iAqYYMbCXlaOtWfCSuNsfkXZSg2bOwE5WKA+9OMyq8TIcQvFCnblCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:41:00.334178Z"},"content_sha256":"a2e0996cf510e8d65418c9d9a2215502ad44c8cf4c91c0c4e50bb16b01b054d4","schema_version":"1.0","event_id":"sha256:a2e0996cf510e8d65418c9d9a2215502ad44c8cf4c91c0c4e50bb16b01b054d4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3N25LWPMFWSIFUM2XSDJR7KVPR/bundle.json","state_url":"https://pith.science/pith/3N25LWPMFWSIFUM2XSDJR7KVPR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3N25LWPMFWSIFUM2XSDJR7KVPR/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":"2026-08-05T21:41:00Z","links":{"resolver":"https://pith.science/pith/3N25LWPMFWSIFUM2XSDJR7KVPR","bundle":"https://pith.science/pith/3N25LWPMFWSIFUM2XSDJR7KVPR/bundle.json","state":"https://pith.science/pith/3N25LWPMFWSIFUM2XSDJR7KVPR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3N25LWPMFWSIFUM2XSDJR7KVPR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3N25LWPMFWSIFUM2XSDJR7KVPR","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":"be7a226b2d99a896115ea5c5c495ef3a7b123f79939a9c7b43d08ae923e50b9a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T18:22:21Z","title_canon_sha256":"0c873072b0521a2399f8d01e217b27de237a3b6582c574f92116cdb982eb0446"},"schema_version":"1.0","source":{"id":"2607.16330","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.16330","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"arxiv_version","alias_value":"2607.16330v1","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.16330","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"pith_short_12","alias_value":"3N25LWPMFWSI","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"pith_short_16","alias_value":"3N25LWPMFWSIFUM2","created_at":"2026-07-21T00:20:12Z"},{"alias_kind":"pith_short_8","alias_value":"3N25LWPM","created_at":"2026-07-21T00:20:12Z"}],"graph_snapshots":[{"event_id":"sha256:a2e0996cf510e8d65418c9d9a2215502ad44c8cf4c91c0c4e50bb16b01b054d4","target":"graph","created_at":"2026-07-21T00:20:12Z","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/2607.16330/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper investigates whether multimodal LLMs can evaluate local brushstroke quality in calligraphy and generate educationally useful natural language feedback. We construct an evaluation framework in which three multimodal LLMs (GPT-4o, Claude Sonnet 4, and Gemini 2.5 Flash) assess before-after image pairs of calligraphic works using a five-point ordinal scale, and compare their outputs against scores assigned by three expert calligraphers. We additionally examine a Retrieval-Augmented Generation (RAG) variant of Claude as a preliminary condition. Results show that all models achieve useful","authors_text":"Hirokatsu Kataoka, Mio Mitamura","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T18:22:21Z","title":"Local Brushstroke Quality Assessment via Vision-Language Feedback"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.16330","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":"sha256:14371e9aa038e4839cd066d09965cba9d6ccb21fa75f99114f71d080de2829f2","target":"record","created_at":"2026-07-21T00:20:12Z","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":"be7a226b2d99a896115ea5c5c495ef3a7b123f79939a9c7b43d08ae923e50b9a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-15T18:22:21Z","title_canon_sha256":"0c873072b0521a2399f8d01e217b27de237a3b6582c574f92116cdb982eb0446"},"schema_version":"1.0","source":{"id":"2607.16330","kind":"arxiv","version":1}},"canonical_sha256":"db75d5d9ec2da482d19abc8698fd557c5826d6be49c0e7e6efb2efea2687a0db","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db75d5d9ec2da482d19abc8698fd557c5826d6be49c0e7e6efb2efea2687a0db","first_computed_at":"2026-07-21T00:20:12.737974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-21T00:20:12.737974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G8IJiEkiAg4911qw9f9PRKgZbhF+Is4Aw3jv66d4kWw7wv6EvxoNYCVC4lC+9YnGJB0fyvcuOJGDFpW/WszACQ==","signature_status":"signed_v1","signed_at":"2026-07-21T00:20:12.738869Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.16330","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14371e9aa038e4839cd066d09965cba9d6ccb21fa75f99114f71d080de2829f2","sha256:a2e0996cf510e8d65418c9d9a2215502ad44c8cf4c91c0c4e50bb16b01b054d4"],"state_sha256":"4d5ebc352f157c4d99a35d195fe3c41940f63c698d879b40a9499cc8dd0866f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T2BNTqwFv9mO56DwzOqCgaQ2dFEhadFy2I4E0U4g3adimncrhkBzy6eE8W1JD8B2AnlivWNpoerCoIv4s9CTBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:41:00.339479Z","bundle_sha256":"f2b371cb55da6b74832249ba46f1a717c6e6e61cecc1c8642875b1b27a010d43"}}