{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:6BX34HWNOW2XS37XEIKKH5E4EI","short_pith_number":"pith:6BX34HWN","canonical_record":{"source":{"id":"2102.01767","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-02T21:40:30Z","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"title_canon_sha256":"876b84f7a23d634a42694601be9e223916fdc2e41d7c1ddbad66974feac87cb3","abstract_canon_sha256":"7b758119ee8c9f67f1d16e7d2f9dce35b4fc3316d78cb5f4a1a8a2c685d3ee08"},"schema_version":"1.0"},"canonical_sha256":"f06fbe1ecd75b5796ff72214a3f49c223cae7503486f0beddbc12c1472dc05d5","source":{"kind":"arxiv","id":"2102.01767","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.01767","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"arxiv_version","alias_value":"2102.01767v1","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.01767","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"pith_short_12","alias_value":"6BX34HWNOW2X","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"pith_short_16","alias_value":"6BX34HWNOW2XS37X","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"pith_short_8","alias_value":"6BX34HWN","created_at":"2026-07-05T02:13:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:6BX34HWNOW2XS37XEIKKH5E4EI","target":"record","payload":{"canonical_record":{"source":{"id":"2102.01767","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-02T21:40:30Z","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"title_canon_sha256":"876b84f7a23d634a42694601be9e223916fdc2e41d7c1ddbad66974feac87cb3","abstract_canon_sha256":"7b758119ee8c9f67f1d16e7d2f9dce35b4fc3316d78cb5f4a1a8a2c685d3ee08"},"schema_version":"1.0"},"canonical_sha256":"f06fbe1ecd75b5796ff72214a3f49c223cae7503486f0beddbc12c1472dc05d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:13:34.240032Z","signature_b64":"4hdBcAgrD5mjZ4CrYsgrCg97tt4o24bxDR25CVos7N2PM38YJIEjGGeMYMOLE/PB+8FEK0GRN5offAbMVhqUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f06fbe1ecd75b5796ff72214a3f49c223cae7503486f0beddbc12c1472dc05d5","last_reissued_at":"2026-07-05T02:13:34.239556Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:13:34.239556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.01767","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":"2026-07-05T02:13:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pi9cgrTBzFlnOTbLgsKVunWZAMKZ9Ful1n5YMr8/kS9/wHar1cHX/JuE/K0/eq2t61UUwhQIuWJhkBs8Gk8gBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:16:50.914111Z"},"content_sha256":"fa6d382027e0eed8a5910046f223fc6905ff043977fdad990191858dcd8f4fdf","schema_version":"1.0","event_id":"sha256:fa6d382027e0eed8a5910046f223fc6905ff043977fdad990191858dcd8f4fdf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:6BX34HWNOW2XS37XEIKKH5E4EI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automatic analysis of artistic paintings using information-based measures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IT","cs.LG","math.IT"],"primary_cat":"cs.CV","authors_text":"Armando J. Pinho, Diogo Pratas, Jorge Miguel Silva, Rui Antunes, S\\'ergio Matos","submitted_at":"2021-02-02T21:40:30Z","abstract_excerpt":"The artistic community is increasingly relying on automatic computational analysis for authentication and classification of artistic paintings. In this paper, we identify hidden patterns and relationships present in artistic paintings by analysing their complexity, a measure that quantifies the sum of characteristics of an object. Specifically, we apply Normalized Compression (NC) and the Block Decomposition Method (BDM) to a dataset of 4,266 paintings from 91 authors and examine the potential of these information-based measures as descriptors of artistic paintings. Both measures consistently "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.01767","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/2102.01767/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":"2026-07-05T02:13:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8KDjYQy4clq+G+lTUbVlaB8eiERqB3uZClCHSoOIXKppaFv0SoNfDHciHtOB471Sf9BUc+W+RQzQ1s/wzjtfBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T03:16:50.914621Z"},"content_sha256":"50511ef6356f02b54f1e9dc658a461c29697e7de83b3e6f5d56f6f4d29b53ed6","schema_version":"1.0","event_id":"sha256:50511ef6356f02b54f1e9dc658a461c29697e7de83b3e6f5d56f6f4d29b53ed6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6BX34HWNOW2XS37XEIKKH5E4EI/bundle.json","state_url":"https://pith.science/pith/6BX34HWNOW2XS37XEIKKH5E4EI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6BX34HWNOW2XS37XEIKKH5E4EI/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":"2026-08-21T03:16:50Z","links":{"resolver":"https://pith.science/pith/6BX34HWNOW2XS37XEIKKH5E4EI","bundle":"https://pith.science/pith/6BX34HWNOW2XS37XEIKKH5E4EI/bundle.json","state":"https://pith.science/pith/6BX34HWNOW2XS37XEIKKH5E4EI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6BX34HWNOW2XS37XEIKKH5E4EI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6BX34HWNOW2XS37XEIKKH5E4EI","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":"7b758119ee8c9f67f1d16e7d2f9dce35b4fc3316d78cb5f4a1a8a2c685d3ee08","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-02T21:40:30Z","title_canon_sha256":"876b84f7a23d634a42694601be9e223916fdc2e41d7c1ddbad66974feac87cb3"},"schema_version":"1.0","source":{"id":"2102.01767","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.01767","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"arxiv_version","alias_value":"2102.01767v1","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.01767","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"pith_short_12","alias_value":"6BX34HWNOW2X","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"pith_short_16","alias_value":"6BX34HWNOW2XS37X","created_at":"2026-07-05T02:13:34Z"},{"alias_kind":"pith_short_8","alias_value":"6BX34HWN","created_at":"2026-07-05T02:13:34Z"}],"graph_snapshots":[{"event_id":"sha256:50511ef6356f02b54f1e9dc658a461c29697e7de83b3e6f5d56f6f4d29b53ed6","target":"graph","created_at":"2026-07-05T02:13:34Z","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/2102.01767/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The artistic community is increasingly relying on automatic computational analysis for authentication and classification of artistic paintings. In this paper, we identify hidden patterns and relationships present in artistic paintings by analysing their complexity, a measure that quantifies the sum of characteristics of an object. Specifically, we apply Normalized Compression (NC) and the Block Decomposition Method (BDM) to a dataset of 4,266 paintings from 91 authors and examine the potential of these information-based measures as descriptors of artistic paintings. Both measures consistently ","authors_text":"Armando J. Pinho, Diogo Pratas, Jorge Miguel Silva, Rui Antunes, S\\'ergio Matos","cross_cats":["cs.IT","cs.LG","math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-02T21:40:30Z","title":"Automatic analysis of artistic paintings using information-based measures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.01767","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:fa6d382027e0eed8a5910046f223fc6905ff043977fdad990191858dcd8f4fdf","target":"record","created_at":"2026-07-05T02:13:34Z","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":"7b758119ee8c9f67f1d16e7d2f9dce35b4fc3316d78cb5f4a1a8a2c685d3ee08","cross_cats_sorted":["cs.IT","cs.LG","math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-02T21:40:30Z","title_canon_sha256":"876b84f7a23d634a42694601be9e223916fdc2e41d7c1ddbad66974feac87cb3"},"schema_version":"1.0","source":{"id":"2102.01767","kind":"arxiv","version":1}},"canonical_sha256":"f06fbe1ecd75b5796ff72214a3f49c223cae7503486f0beddbc12c1472dc05d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f06fbe1ecd75b5796ff72214a3f49c223cae7503486f0beddbc12c1472dc05d5","first_computed_at":"2026-07-05T02:13:34.239556Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:13:34.239556Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4hdBcAgrD5mjZ4CrYsgrCg97tt4o24bxDR25CVos7N2PM38YJIEjGGeMYMOLE/PB+8FEK0GRN5offAbMVhqUCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:13:34.240032Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.01767","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa6d382027e0eed8a5910046f223fc6905ff043977fdad990191858dcd8f4fdf","sha256:50511ef6356f02b54f1e9dc658a461c29697e7de83b3e6f5d56f6f4d29b53ed6"],"state_sha256":"846db7cee37c08f53450139d958e5975f05aa4ea63581ac079afc5351078cacc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dN3xG4PXj74p4pgFEXSXjtpI7B2+xGcK21+MZv5dC4vOemJ1WJeXM34xUjPmjvypyPEsaE7qkNdBwix/quGfBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T03:16:50.919413Z","bundle_sha256":"65d95289fbdb293e7b86ae6415e38faa622ceba2738ca9be9ce195382faa918e"}}