{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FDYUGC65QX5KJI4VVJCS7CT5LM","short_pith_number":"pith:FDYUGC65","canonical_record":{"source":{"id":"2106.07862","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-15T03:40:53Z","cross_cats_sorted":[],"title_canon_sha256":"719d58722b0f0c0c8eb7d34997644a8f1677edf12534b0200f9f13bc13c5f90b","abstract_canon_sha256":"08a51ca5dffcd8f113e76c982f4f8b39f4de89b832bd6181915d49b0c7766434"},"schema_version":"1.0"},"canonical_sha256":"28f1430bdd85faa4a395aa452f8a7d5b040d68f078472dc7e565bd417fabdd77","source":{"kind":"arxiv","id":"2106.07862","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.07862","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"arxiv_version","alias_value":"2106.07862v1","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.07862","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"pith_short_12","alias_value":"FDYUGC65QX5K","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"pith_short_16","alias_value":"FDYUGC65QX5KJI4V","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"pith_short_8","alias_value":"FDYUGC65","created_at":"2026-07-05T02:49:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FDYUGC65QX5KJI4VVJCS7CT5LM","target":"record","payload":{"canonical_record":{"source":{"id":"2106.07862","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-15T03:40:53Z","cross_cats_sorted":[],"title_canon_sha256":"719d58722b0f0c0c8eb7d34997644a8f1677edf12534b0200f9f13bc13c5f90b","abstract_canon_sha256":"08a51ca5dffcd8f113e76c982f4f8b39f4de89b832bd6181915d49b0c7766434"},"schema_version":"1.0"},"canonical_sha256":"28f1430bdd85faa4a395aa452f8a7d5b040d68f078472dc7e565bd417fabdd77","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:49:34.776275Z","signature_b64":"u7B+wS6CajpF3GWPyN9IhFW7IFNObC4jYeluDLX6NOXUr8xD0JkN5D6Ar5apsWraepcgKx7oAb8J1ZWXOftTBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"28f1430bdd85faa4a395aa452f8a7d5b040d68f078472dc7e565bd417fabdd77","last_reissued_at":"2026-07-05T02:49:34.775802Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:49:34.775802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.07862","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":"2026-07-05T02:49:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wXNbUylnE8D2HqhiRgq6Q6j74ZHAGizSQJleOuKMNT8R1QOfz0/JMwt/jUyZIcIg3xZBqssbCJR+DY/1OFe6DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:09:17.088644Z"},"content_sha256":"13df0af11da3d64b177c49c2f77d0319353da34e2d5ba8f7977f6aa393c4f90f","schema_version":"1.0","event_id":"sha256:13df0af11da3d64b177c49c2f77d0319353da34e2d5ba8f7977f6aa393c4f90f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FDYUGC65QX5KJI4VVJCS7CT5LM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain Adaptive SiamRPN++ for Object Tracking in the Wild","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Lei Zhang, Zhongzhou Zhang","submitted_at":"2021-06-15T03:40:53Z","abstract_excerpt":"Benefit from large-scale training data, recent advances in Siamese-based object tracking have achieved compelling results on the normal sequences. Whilst Siamese-based trackers assume training and test data follow an identical distribution. Suppose there is a set of foggy or rainy test sequences, it cannot be guaranteed that the trackers trained on the normal images perform well on the data belonging to other domains. The problem of domain shift among training and test data has already been discussed in object detection and semantic segmentation areas, which, however, has not been investigated"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.07862","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/2106.07862/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":"2026-07-05T02:49:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FF/+mtLUEiZ52+OAN1c+0sPx5weCBB4nRLECd2AWW5fZKuxXRexc2pXYmFgcDjEwX2dRXHrJlTy3nC/8HlxhDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:09:17.089576Z"},"content_sha256":"e9790722ca5424b43c5d499e1aee76c4a26e1413c282634d427c7cc958e15211","schema_version":"1.0","event_id":"sha256:e9790722ca5424b43c5d499e1aee76c4a26e1413c282634d427c7cc958e15211"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FDYUGC65QX5KJI4VVJCS7CT5LM/bundle.json","state_url":"https://pith.science/pith/FDYUGC65QX5KJI4VVJCS7CT5LM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FDYUGC65QX5KJI4VVJCS7CT5LM/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":"2026-08-09T00:09:17Z","links":{"resolver":"https://pith.science/pith/FDYUGC65QX5KJI4VVJCS7CT5LM","bundle":"https://pith.science/pith/FDYUGC65QX5KJI4VVJCS7CT5LM/bundle.json","state":"https://pith.science/pith/FDYUGC65QX5KJI4VVJCS7CT5LM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FDYUGC65QX5KJI4VVJCS7CT5LM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FDYUGC65QX5KJI4VVJCS7CT5LM","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":"08a51ca5dffcd8f113e76c982f4f8b39f4de89b832bd6181915d49b0c7766434","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-15T03:40:53Z","title_canon_sha256":"719d58722b0f0c0c8eb7d34997644a8f1677edf12534b0200f9f13bc13c5f90b"},"schema_version":"1.0","source":{"id":"2106.07862","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.07862","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"arxiv_version","alias_value":"2106.07862v1","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.07862","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"pith_short_12","alias_value":"FDYUGC65QX5K","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"pith_short_16","alias_value":"FDYUGC65QX5KJI4V","created_at":"2026-07-05T02:49:34Z"},{"alias_kind":"pith_short_8","alias_value":"FDYUGC65","created_at":"2026-07-05T02:49:34Z"}],"graph_snapshots":[{"event_id":"sha256:e9790722ca5424b43c5d499e1aee76c4a26e1413c282634d427c7cc958e15211","target":"graph","created_at":"2026-07-05T02:49:34Z","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/2106.07862/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Benefit from large-scale training data, recent advances in Siamese-based object tracking have achieved compelling results on the normal sequences. Whilst Siamese-based trackers assume training and test data follow an identical distribution. Suppose there is a set of foggy or rainy test sequences, it cannot be guaranteed that the trackers trained on the normal images perform well on the data belonging to other domains. The problem of domain shift among training and test data has already been discussed in object detection and semantic segmentation areas, which, however, has not been investigated","authors_text":"Lei Zhang, Zhongzhou Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-15T03:40:53Z","title":"Domain Adaptive SiamRPN++ for Object Tracking in the Wild"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.07862","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":"sha256:13df0af11da3d64b177c49c2f77d0319353da34e2d5ba8f7977f6aa393c4f90f","target":"record","created_at":"2026-07-05T02:49:34Z","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":"08a51ca5dffcd8f113e76c982f4f8b39f4de89b832bd6181915d49b0c7766434","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-15T03:40:53Z","title_canon_sha256":"719d58722b0f0c0c8eb7d34997644a8f1677edf12534b0200f9f13bc13c5f90b"},"schema_version":"1.0","source":{"id":"2106.07862","kind":"arxiv","version":1}},"canonical_sha256":"28f1430bdd85faa4a395aa452f8a7d5b040d68f078472dc7e565bd417fabdd77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"28f1430bdd85faa4a395aa452f8a7d5b040d68f078472dc7e565bd417fabdd77","first_computed_at":"2026-07-05T02:49:34.775802Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:49:34.775802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u7B+wS6CajpF3GWPyN9IhFW7IFNObC4jYeluDLX6NOXUr8xD0JkN5D6Ar5apsWraepcgKx7oAb8J1ZWXOftTBg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:49:34.776275Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.07862","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:13df0af11da3d64b177c49c2f77d0319353da34e2d5ba8f7977f6aa393c4f90f","sha256:e9790722ca5424b43c5d499e1aee76c4a26e1413c282634d427c7cc958e15211"],"state_sha256":"831f8c601bd34e49f3d2bed9d633e70a9eb50da097b553fd38a6a57da9c96c3d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D+B40vi9ujUy3l4y0D2Qv72+M7w7NGrkTwSuFVeoyvACuUY3YfgMSsW1HxDZN1gkkCA1AFLjGiN6L4trGbuLBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T00:09:17.095143Z","bundle_sha256":"228d2f32e421f8be09f4f83cfd475ea970cfdc7dcecc3eb14d3ecb861023043a"}}