{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RGOUEENYEUNJE3IVESWVO3YAXX","short_pith_number":"pith:RGOUEENY","canonical_record":{"source":{"id":"2407.03540","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-03T23:07:57Z","cross_cats_sorted":[],"title_canon_sha256":"a2a3cf6326be1de0c47e293482b4a1f3d436360e605a00ae80e80f206e0a0f55","abstract_canon_sha256":"b3d0fbce90f38f33f96e3dc2422a1ec92f4815bbce96c021d13a9becaa251359"},"schema_version":"1.0"},"canonical_sha256":"899d4211b8251a926d1524ad576f00bdf92f47911d4af68b8c42b36c277eff15","source":{"kind":"arxiv","id":"2407.03540","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.03540","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"arxiv_version","alias_value":"2407.03540v1","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.03540","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"pith_short_12","alias_value":"RGOUEENYEUNJ","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"pith_short_16","alias_value":"RGOUEENYEUNJE3IV","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"pith_short_8","alias_value":"RGOUEENY","created_at":"2026-07-05T08:39:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RGOUEENYEUNJE3IVESWVO3YAXX","target":"record","payload":{"canonical_record":{"source":{"id":"2407.03540","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-03T23:07:57Z","cross_cats_sorted":[],"title_canon_sha256":"a2a3cf6326be1de0c47e293482b4a1f3d436360e605a00ae80e80f206e0a0f55","abstract_canon_sha256":"b3d0fbce90f38f33f96e3dc2422a1ec92f4815bbce96c021d13a9becaa251359"},"schema_version":"1.0"},"canonical_sha256":"899d4211b8251a926d1524ad576f00bdf92f47911d4af68b8c42b36c277eff15","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:39:56.527565Z","signature_b64":"5gBEiQPDQq6GK2z0SDguF1OujB9k0YES4V2qjdi5NKRKnWE9PKip1Q0MuHJ3WjX3Vbt8hS8pZEbGImSUolUkCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"899d4211b8251a926d1524ad576f00bdf92f47911d4af68b8c42b36c277eff15","last_reissued_at":"2026-07-05T08:39:56.527069Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:39:56.527069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.03540","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":"2026-07-05T08:39:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l2nMjkeLGEO3ITz+eLt3xP3KweyVWfwNbmLvdw4bXIfitONBctZ1nOJoWAHt/pTpN77JI7SuMAwA7kWrCXRSCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:13:51.992192Z"},"content_sha256":"fdd9caa378c73e1e5cfa6a7f5a04ba09b16a04967084374796f2067894332e5d","schema_version":"1.0","event_id":"sha256:fdd9caa378c73e1e5cfa6a7f5a04ba09b16a04967084374796f2067894332e5d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RGOUEENYEUNJE3IVESWVO3YAXX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comics Datasets Framework: Mix of Comics datasets for detection benchmarking","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dimosthenis Karatzas, Emanuele Vivoli, Irene Campaioli, Marco Bertini, Mariateresa Nardoni, Niccol\\`o Biondi","submitted_at":"2024-07-03T23:07:57Z","abstract_excerpt":"Comics, as a medium, uniquely combine text and images in styles often distinct from real-world visuals. For the past three decades, computational research on comics has evolved from basic object detection to more sophisticated tasks. However, the field faces persistent challenges such as small datasets, inconsistent annotations, inaccessible model weights, and results that cannot be directly compared due to varying train/test splits and metrics. To address these issues, we aim to standardize annotations across datasets, introduce a variety of comic styles into the datasets, and establish bench"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.03540","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/2407.03540/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":"2026-07-05T08:39:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mJxksEl6jAEyLGv6OpK6BFyGIp6YCj+DYLVFLmSTK/JEVn/uJZZnCPHdJp9bXN47TsH7HeLdLqHpJ+D8WxsuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:13:51.993343Z"},"content_sha256":"d4540119ab927a1958064e69f3866942c66d860ea585434e737d545f6ec83889","schema_version":"1.0","event_id":"sha256:d4540119ab927a1958064e69f3866942c66d860ea585434e737d545f6ec83889"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RGOUEENYEUNJE3IVESWVO3YAXX/bundle.json","state_url":"https://pith.science/pith/RGOUEENYEUNJE3IVESWVO3YAXX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RGOUEENYEUNJE3IVESWVO3YAXX/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":"2026-08-03T19:13:51Z","links":{"resolver":"https://pith.science/pith/RGOUEENYEUNJE3IVESWVO3YAXX","bundle":"https://pith.science/pith/RGOUEENYEUNJE3IVESWVO3YAXX/bundle.json","state":"https://pith.science/pith/RGOUEENYEUNJE3IVESWVO3YAXX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RGOUEENYEUNJE3IVESWVO3YAXX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RGOUEENYEUNJE3IVESWVO3YAXX","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":"b3d0fbce90f38f33f96e3dc2422a1ec92f4815bbce96c021d13a9becaa251359","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-03T23:07:57Z","title_canon_sha256":"a2a3cf6326be1de0c47e293482b4a1f3d436360e605a00ae80e80f206e0a0f55"},"schema_version":"1.0","source":{"id":"2407.03540","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.03540","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"arxiv_version","alias_value":"2407.03540v1","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.03540","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"pith_short_12","alias_value":"RGOUEENYEUNJ","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"pith_short_16","alias_value":"RGOUEENYEUNJE3IV","created_at":"2026-07-05T08:39:56Z"},{"alias_kind":"pith_short_8","alias_value":"RGOUEENY","created_at":"2026-07-05T08:39:56Z"}],"graph_snapshots":[{"event_id":"sha256:d4540119ab927a1958064e69f3866942c66d860ea585434e737d545f6ec83889","target":"graph","created_at":"2026-07-05T08:39:56Z","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/2407.03540/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Comics, as a medium, uniquely combine text and images in styles often distinct from real-world visuals. For the past three decades, computational research on comics has evolved from basic object detection to more sophisticated tasks. However, the field faces persistent challenges such as small datasets, inconsistent annotations, inaccessible model weights, and results that cannot be directly compared due to varying train/test splits and metrics. To address these issues, we aim to standardize annotations across datasets, introduce a variety of comic styles into the datasets, and establish bench","authors_text":"Dimosthenis Karatzas, Emanuele Vivoli, Irene Campaioli, Marco Bertini, Mariateresa Nardoni, Niccol\\`o Biondi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-03T23:07:57Z","title":"Comics Datasets Framework: Mix of Comics datasets for detection benchmarking"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.03540","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:fdd9caa378c73e1e5cfa6a7f5a04ba09b16a04967084374796f2067894332e5d","target":"record","created_at":"2026-07-05T08:39:56Z","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":"b3d0fbce90f38f33f96e3dc2422a1ec92f4815bbce96c021d13a9becaa251359","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-03T23:07:57Z","title_canon_sha256":"a2a3cf6326be1de0c47e293482b4a1f3d436360e605a00ae80e80f206e0a0f55"},"schema_version":"1.0","source":{"id":"2407.03540","kind":"arxiv","version":1}},"canonical_sha256":"899d4211b8251a926d1524ad576f00bdf92f47911d4af68b8c42b36c277eff15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"899d4211b8251a926d1524ad576f00bdf92f47911d4af68b8c42b36c277eff15","first_computed_at":"2026-07-05T08:39:56.527069Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:39:56.527069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5gBEiQPDQq6GK2z0SDguF1OujB9k0YES4V2qjdi5NKRKnWE9PKip1Q0MuHJ3WjX3Vbt8hS8pZEbGImSUolUkCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:39:56.527565Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.03540","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fdd9caa378c73e1e5cfa6a7f5a04ba09b16a04967084374796f2067894332e5d","sha256:d4540119ab927a1958064e69f3866942c66d860ea585434e737d545f6ec83889"],"state_sha256":"7e590b66f0d6d57b26634aed72186f4e6edde59cffbf773484c728f8e1637194"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JuJOwQsmpVNUTo3jU0sxml3GXd15i8JOcngrWOCA+RfL7GXRDS+FDfSxgu6fnBlTvC0lAj/LJXJN3us5ajvsAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T19:13:51.997196Z","bundle_sha256":"a3a7f0bb588e834c63b4af36f4dd68eabf15e3efaed71f27bf1a020d3b57adfe"}}