{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EISAVWSAYWHC5HHQ3JWR2YXEA4","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":"7194b58b85df1c922a30673d8368f9e5bb277b48c32781fb2c9a9f073ca1e04c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-08T12:45:53Z","title_canon_sha256":"9ebfacdc7cbad7d212133a47829de4d3ae8caf046b3eb8b6a69b745c709a2291"},"schema_version":"1.0","source":{"id":"2506.07112","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.07112","created_at":"2026-07-05T11:18:01Z"},{"alias_kind":"arxiv_version","alias_value":"2506.07112v1","created_at":"2026-07-05T11:18:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.07112","created_at":"2026-07-05T11:18:01Z"},{"alias_kind":"pith_short_12","alias_value":"EISAVWSAYWHC","created_at":"2026-07-05T11:18:01Z"},{"alias_kind":"pith_short_16","alias_value":"EISAVWSAYWHC5HHQ","created_at":"2026-07-05T11:18:01Z"},{"alias_kind":"pith_short_8","alias_value":"EISAVWSA","created_at":"2026-07-05T11:18:01Z"}],"graph_snapshots":[{"event_id":"sha256:7e9191a78d0da3df3b2a062dadbb5efa404ecef10b14c13ce7d10164837026a8","target":"graph","created_at":"2026-07-05T11:18:01Z","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/2506.07112/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Text spotting for industrial panels is a key task for intelligent monitoring. However, achieving efficient and accurate text spotting for complex industrial panels remains challenging due to issues such as cross-scale localization and ambiguous boundaries in dense text regions. Moreover, most existing methods primarily focus on representing a single text shape, neglecting a comprehensive exploration of multi-scale feature information across different texts. To address these issues, this work proposes a novel multi-scale dense text spotter for edge AI-based vision system (EdgeSpotter) to achiev","authors_text":"Changhong Fu, Haobo Zuo, Hua Lin, Liangliang Yao, Liguo Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-08T12:45:53Z","title":"EdgeSpotter: Multi-Scale Dense Text Spotting for Industrial Panel Monitoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.07112","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:f64ab96ce6bd5f1e1d03028bb3fd0d8958c5813fa248583ef926949a4cc592e9","target":"record","created_at":"2026-07-05T11:18:01Z","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":"7194b58b85df1c922a30673d8368f9e5bb277b48c32781fb2c9a9f073ca1e04c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-08T12:45:53Z","title_canon_sha256":"9ebfacdc7cbad7d212133a47829de4d3ae8caf046b3eb8b6a69b745c709a2291"},"schema_version":"1.0","source":{"id":"2506.07112","kind":"arxiv","version":1}},"canonical_sha256":"22240ada40c58e2e9cf0da6d1d62e40702dae99a49be1fb824c21d665ceea754","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22240ada40c58e2e9cf0da6d1d62e40702dae99a49be1fb824c21d665ceea754","first_computed_at":"2026-07-05T11:18:01.618865Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:18:01.618865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lyCSXPzcA2pWnTTo8WkKx+hEScu6SwsIhjKIZiXHDxPb7pj+C2Qb+GRqbUWrf4gKCYxyr24RThgjRItyWDc1CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:18:01.619747Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.07112","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f64ab96ce6bd5f1e1d03028bb3fd0d8958c5813fa248583ef926949a4cc592e9","sha256:7e9191a78d0da3df3b2a062dadbb5efa404ecef10b14c13ce7d10164837026a8"],"state_sha256":"ae116bd01b25803cfff5cc72c2392340867a99030887fab62a5d921413694487"}