{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MG32MHWG5YA3OC7NYHX6ITLN7U","short_pith_number":"pith:MG32MHWG","canonical_record":{"source":{"id":"2302.13824","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-27T14:33:29Z","cross_cats_sorted":[],"title_canon_sha256":"a4c273e9bbb760fa8d31e91db6386766fd42bd16eddc7fb7c1a22d53ca4d4bd3","abstract_canon_sha256":"b03bdf9f03b3c17513016c2b574300fbfe8048d46d1724a59b67f3f0dd9f3d3a"},"schema_version":"1.0"},"canonical_sha256":"61b7a61ec6ee01b70bedc1efe44d6dfd3001e92d199e6dd528481f9b1daa8bd7","source":{"kind":"arxiv","id":"2302.13824","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.13824","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"arxiv_version","alias_value":"2302.13824v1","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.13824","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"pith_short_12","alias_value":"MG32MHWG5YA3","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"pith_short_16","alias_value":"MG32MHWG5YA3OC7N","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"pith_short_8","alias_value":"MG32MHWG","created_at":"2026-07-05T05:45:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MG32MHWG5YA3OC7NYHX6ITLN7U","target":"record","payload":{"canonical_record":{"source":{"id":"2302.13824","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-27T14:33:29Z","cross_cats_sorted":[],"title_canon_sha256":"a4c273e9bbb760fa8d31e91db6386766fd42bd16eddc7fb7c1a22d53ca4d4bd3","abstract_canon_sha256":"b03bdf9f03b3c17513016c2b574300fbfe8048d46d1724a59b67f3f0dd9f3d3a"},"schema_version":"1.0"},"canonical_sha256":"61b7a61ec6ee01b70bedc1efe44d6dfd3001e92d199e6dd528481f9b1daa8bd7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:45:51.410116Z","signature_b64":"50iP+sVgP8c5k2sHpUt6wPbMtgHs2sWzHJOHKt0Vuyw1x9CVkocJdDJVH955p0gwFeyd65XbN7MuY6+ESqYdDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61b7a61ec6ee01b70bedc1efe44d6dfd3001e92d199e6dd528481f9b1daa8bd7","last_reissued_at":"2026-07-05T05:45:51.409740Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:45:51.409740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.13824","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":"2026-07-05T05:45:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vFxU7GRQzlMmCsI19SCve2KEAnrjxB9GszY0CAonKIY90NILlNBtK5lG2gBvHd6lmBVVFkQwqB7sC6VE+7DuBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T04:23:51.299874Z"},"content_sha256":"2a9cdccf92edfafa04da6bc09c3e3d8fe8cffbb0170a0b1fb97dece6f4007a68","schema_version":"1.0","event_id":"sha256:2a9cdccf92edfafa04da6bc09c3e3d8fe8cffbb0170a0b1fb97dece6f4007a68"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MG32MHWG5YA3OC7NYHX6ITLN7U","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dirichlet-based Uncertainty Calibration for Active Domain Adaptation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chi Harold Liu, Mixue Xie, Rui Zhang, Shuang Li","submitted_at":"2023-02-27T14:33:29Z","abstract_excerpt":"Active domain adaptation (DA) aims to maximally boost the model adaptation on a new target domain by actively selecting limited target data to annotate, whereas traditional active learning methods may be less effective since they do not consider the domain shift issue. Despite active DA methods address this by further proposing targetness to measure the representativeness of target domain characteristics, their predictive uncertainty is usually based on the prediction of deterministic models, which can easily be miscalibrated on data with distribution shift. Considering this, we propose a \\tex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.13824","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/2302.13824/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":"2026-07-05T05:45:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iZDGay6tly9iBmFN6rMmdm9naAKwwC+CxRja+Aw0mM+89ms6SwkzQWY4sWFPmcmnGJ7os8IVZowpRcYVX3ZcCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T04:23:51.300431Z"},"content_sha256":"8d34afe258f7ace4be7f3ac44fc565430afb76f177bd4ac965f33da15b09da65","schema_version":"1.0","event_id":"sha256:8d34afe258f7ace4be7f3ac44fc565430afb76f177bd4ac965f33da15b09da65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MG32MHWG5YA3OC7NYHX6ITLN7U/bundle.json","state_url":"https://pith.science/pith/MG32MHWG5YA3OC7NYHX6ITLN7U/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MG32MHWG5YA3OC7NYHX6ITLN7U/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":"2026-08-12T04:23:51Z","links":{"resolver":"https://pith.science/pith/MG32MHWG5YA3OC7NYHX6ITLN7U","bundle":"https://pith.science/pith/MG32MHWG5YA3OC7NYHX6ITLN7U/bundle.json","state":"https://pith.science/pith/MG32MHWG5YA3OC7NYHX6ITLN7U/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MG32MHWG5YA3OC7NYHX6ITLN7U/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MG32MHWG5YA3OC7NYHX6ITLN7U","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":"b03bdf9f03b3c17513016c2b574300fbfe8048d46d1724a59b67f3f0dd9f3d3a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-27T14:33:29Z","title_canon_sha256":"a4c273e9bbb760fa8d31e91db6386766fd42bd16eddc7fb7c1a22d53ca4d4bd3"},"schema_version":"1.0","source":{"id":"2302.13824","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.13824","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"arxiv_version","alias_value":"2302.13824v1","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.13824","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"pith_short_12","alias_value":"MG32MHWG5YA3","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"pith_short_16","alias_value":"MG32MHWG5YA3OC7N","created_at":"2026-07-05T05:45:51Z"},{"alias_kind":"pith_short_8","alias_value":"MG32MHWG","created_at":"2026-07-05T05:45:51Z"}],"graph_snapshots":[{"event_id":"sha256:8d34afe258f7ace4be7f3ac44fc565430afb76f177bd4ac965f33da15b09da65","target":"graph","created_at":"2026-07-05T05:45:51Z","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/2302.13824/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Active domain adaptation (DA) aims to maximally boost the model adaptation on a new target domain by actively selecting limited target data to annotate, whereas traditional active learning methods may be less effective since they do not consider the domain shift issue. Despite active DA methods address this by further proposing targetness to measure the representativeness of target domain characteristics, their predictive uncertainty is usually based on the prediction of deterministic models, which can easily be miscalibrated on data with distribution shift. Considering this, we propose a \\tex","authors_text":"Chi Harold Liu, Mixue Xie, Rui Zhang, Shuang Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-27T14:33:29Z","title":"Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.13824","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":"sha256:2a9cdccf92edfafa04da6bc09c3e3d8fe8cffbb0170a0b1fb97dece6f4007a68","target":"record","created_at":"2026-07-05T05:45:51Z","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":"b03bdf9f03b3c17513016c2b574300fbfe8048d46d1724a59b67f3f0dd9f3d3a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-02-27T14:33:29Z","title_canon_sha256":"a4c273e9bbb760fa8d31e91db6386766fd42bd16eddc7fb7c1a22d53ca4d4bd3"},"schema_version":"1.0","source":{"id":"2302.13824","kind":"arxiv","version":1}},"canonical_sha256":"61b7a61ec6ee01b70bedc1efe44d6dfd3001e92d199e6dd528481f9b1daa8bd7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"61b7a61ec6ee01b70bedc1efe44d6dfd3001e92d199e6dd528481f9b1daa8bd7","first_computed_at":"2026-07-05T05:45:51.409740Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:45:51.409740Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"50iP+sVgP8c5k2sHpUt6wPbMtgHs2sWzHJOHKt0Vuyw1x9CVkocJdDJVH955p0gwFeyd65XbN7MuY6+ESqYdDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:45:51.410116Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.13824","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a9cdccf92edfafa04da6bc09c3e3d8fe8cffbb0170a0b1fb97dece6f4007a68","sha256:8d34afe258f7ace4be7f3ac44fc565430afb76f177bd4ac965f33da15b09da65"],"state_sha256":"ce9990e32eacd763d1d92f74f9d1f2fc5c6ff6c8db97d722db4c8090a11638c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cM8lF7J2vdZTYO7ejTE+gsWNCy4RY31DWBjmObg6CZ1YIfs583LcGAGzj4x67ehBYpgagPIogWLTkn3Vc7jJCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T04:23:51.304507Z","bundle_sha256":"3fe6435617122ed4b2fec66013ef5762f1b1b032d00045ad8e68e1755afee4df"}}