{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:75GRIZ7X6WSCMZI3QMSLCBL6NB","short_pith_number":"pith:75GRIZ7X","canonical_record":{"source":{"id":"2109.03379","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-08T00:59:10Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"title_canon_sha256":"7d8780850d4d4d5ceedcc85ec0af7196e04649e2f402e819a99a68f18c5acda6","abstract_canon_sha256":"05f917f673203510063f7ad89bc9ed8dba6ec1110d90c58dbbfe38ef58b1188a"},"schema_version":"1.0"},"canonical_sha256":"ff4d1467f7f5a426651b8324b1057e68400f5bba44896246618d0039f0cb683a","source":{"kind":"arxiv","id":"2109.03379","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.03379","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"arxiv_version","alias_value":"2109.03379v3","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.03379","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"pith_short_12","alias_value":"75GRIZ7X6WSC","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"pith_short_16","alias_value":"75GRIZ7X6WSCMZI3","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"pith_short_8","alias_value":"75GRIZ7X","created_at":"2026-07-05T06:36:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:75GRIZ7X6WSCMZI3QMSLCBL6NB","target":"record","payload":{"canonical_record":{"source":{"id":"2109.03379","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-08T00:59:10Z","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"title_canon_sha256":"7d8780850d4d4d5ceedcc85ec0af7196e04649e2f402e819a99a68f18c5acda6","abstract_canon_sha256":"05f917f673203510063f7ad89bc9ed8dba6ec1110d90c58dbbfe38ef58b1188a"},"schema_version":"1.0"},"canonical_sha256":"ff4d1467f7f5a426651b8324b1057e68400f5bba44896246618d0039f0cb683a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:36:51.334309Z","signature_b64":"bHWGC+wslVdRiDbf5Xqn++JdMIBrk6HUyXxxURsOjmO3MK6R7OXQBkaEFRPZ3pNVL/7UTaPQuTGlcMzU+eVPAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff4d1467f7f5a426651b8324b1057e68400f5bba44896246618d0039f0cb683a","last_reissued_at":"2026-07-05T06:36:51.333858Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:36:51.333858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.03379","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:36:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dMFxOmUFIhjrWJwMsUArtZbm8YE1FxcQ8sXCb8YSwHNNYRrYY9dOkqIzysJcG03XGArs37N6MvsHhU1MEqUtAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:05:00.075615Z"},"content_sha256":"c2d96b8142d5a6c2f2f0ba26cd8e356ca84ad821d0468749372b82a3d7066122","schema_version":"1.0","event_id":"sha256:c2d96b8142d5a6c2f2f0ba26cd8e356ca84ad821d0468749372b82a3d7066122"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:75GRIZ7X6WSCMZI3QMSLCBL6NB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Application of Ghost-DeblurGAN to Fiducial Marker Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.RO"],"primary_cat":"eess.IV","authors_text":"Amaldev Haridevan, Hunter Schofield, Jinjun Shan, Yibo Liu","submitted_at":"2021-09-08T00:59:10Z","abstract_excerpt":"Feature extraction or localization based on the fiducial marker could fail due to motion blur in real-world robotic applications. To solve this problem, a lightweight generative adversarial network, named Ghost-DeblurGAN, for real-time motion deblurring is developed in this paper. Furthermore, on account that there is no existing deblurring benchmark for such task, a new large-scale dataset, YorkTag, is proposed that provides pairs of sharp/blurred images containing fiducial markers. With the proposed model trained and tested on YorkTag, it is demonstrated that when applied along with fiducial"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.03379","kind":"arxiv","version":3},"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/2109.03379/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":"2026-07-05T06:36:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C7ZxgANrn6nSx9wQY5PWW+zY/YpRdurMSGbGuIsTZE25OckV4LcAhv93hwsj14OzRgZSpLZIXwmkPoFBjOPDBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T11:05:00.076139Z"},"content_sha256":"ae59198669a364d94f7ff383071072b4dd9cce03274be5ea457170abf3a3e359","schema_version":"1.0","event_id":"sha256:ae59198669a364d94f7ff383071072b4dd9cce03274be5ea457170abf3a3e359"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/75GRIZ7X6WSCMZI3QMSLCBL6NB/bundle.json","state_url":"https://pith.science/pith/75GRIZ7X6WSCMZI3QMSLCBL6NB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/75GRIZ7X6WSCMZI3QMSLCBL6NB/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":"2026-08-04T11:05:00Z","links":{"resolver":"https://pith.science/pith/75GRIZ7X6WSCMZI3QMSLCBL6NB","bundle":"https://pith.science/pith/75GRIZ7X6WSCMZI3QMSLCBL6NB/bundle.json","state":"https://pith.science/pith/75GRIZ7X6WSCMZI3QMSLCBL6NB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/75GRIZ7X6WSCMZI3QMSLCBL6NB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:75GRIZ7X6WSCMZI3QMSLCBL6NB","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":"05f917f673203510063f7ad89bc9ed8dba6ec1110d90c58dbbfe38ef58b1188a","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-08T00:59:10Z","title_canon_sha256":"7d8780850d4d4d5ceedcc85ec0af7196e04649e2f402e819a99a68f18c5acda6"},"schema_version":"1.0","source":{"id":"2109.03379","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.03379","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"arxiv_version","alias_value":"2109.03379v3","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.03379","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"pith_short_12","alias_value":"75GRIZ7X6WSC","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"pith_short_16","alias_value":"75GRIZ7X6WSCMZI3","created_at":"2026-07-05T06:36:51Z"},{"alias_kind":"pith_short_8","alias_value":"75GRIZ7X","created_at":"2026-07-05T06:36:51Z"}],"graph_snapshots":[{"event_id":"sha256:ae59198669a364d94f7ff383071072b4dd9cce03274be5ea457170abf3a3e359","target":"graph","created_at":"2026-07-05T06:36:51Z","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/2109.03379/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Feature extraction or localization based on the fiducial marker could fail due to motion blur in real-world robotic applications. To solve this problem, a lightweight generative adversarial network, named Ghost-DeblurGAN, for real-time motion deblurring is developed in this paper. Furthermore, on account that there is no existing deblurring benchmark for such task, a new large-scale dataset, YorkTag, is proposed that provides pairs of sharp/blurred images containing fiducial markers. With the proposed model trained and tested on YorkTag, it is demonstrated that when applied along with fiducial","authors_text":"Amaldev Haridevan, Hunter Schofield, Jinjun Shan, Yibo Liu","cross_cats":["cs.AI","cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-08T00:59:10Z","title":"Application of Ghost-DeblurGAN to Fiducial Marker Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.03379","kind":"arxiv","version":3},"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:c2d96b8142d5a6c2f2f0ba26cd8e356ca84ad821d0468749372b82a3d7066122","target":"record","created_at":"2026-07-05T06:36:51Z","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":"05f917f673203510063f7ad89bc9ed8dba6ec1110d90c58dbbfe38ef58b1188a","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2021-09-08T00:59:10Z","title_canon_sha256":"7d8780850d4d4d5ceedcc85ec0af7196e04649e2f402e819a99a68f18c5acda6"},"schema_version":"1.0","source":{"id":"2109.03379","kind":"arxiv","version":3}},"canonical_sha256":"ff4d1467f7f5a426651b8324b1057e68400f5bba44896246618d0039f0cb683a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff4d1467f7f5a426651b8324b1057e68400f5bba44896246618d0039f0cb683a","first_computed_at":"2026-07-05T06:36:51.333858Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:36:51.333858Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bHWGC+wslVdRiDbf5Xqn++JdMIBrk6HUyXxxURsOjmO3MK6R7OXQBkaEFRPZ3pNVL/7UTaPQuTGlcMzU+eVPAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:36:51.334309Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.03379","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2d96b8142d5a6c2f2f0ba26cd8e356ca84ad821d0468749372b82a3d7066122","sha256:ae59198669a364d94f7ff383071072b4dd9cce03274be5ea457170abf3a3e359"],"state_sha256":"72615f7a41cffbb6d1aafcb2a2c8d01e5322b12775b7c2429daee00f0b2fcb28"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UByZVan2XXHRYSYa/imw8vcbAcGQzwUSi21DPUdHkC7tJjBbK9bPsQMAMcYPhingGgjD82D9nWf4NyvxC2hwDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T11:05:00.081222Z","bundle_sha256":"3d0b997f010c01a4200c5f2b2ee28cdfd74c1ed7bc23cbbe3bef283f7fe32194"}}