{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:YRX2PSETDPNZOZR3DDI446DALP","short_pith_number":"pith:YRX2PSET","canonical_record":{"source":{"id":"2506.21484","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T17:12:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6df03725b57143a1b9cd2c4f4f4b046a470908115d40adc2ef40f202c99b2a23","abstract_canon_sha256":"161df52bbbde40948be47b1dcc953c6bfcacd3bd88959e4ddc33b7c427e05e30"},"schema_version":"1.0"},"canonical_sha256":"c46fa7c8931bdb97663b18d1ce78605bf5ed24ae423257a32bd18386c940351f","source":{"kind":"arxiv","id":"2506.21484","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21484","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21484v1","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21484","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_12","alias_value":"YRX2PSETDPNZ","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"YRX2PSETDPNZOZR3","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"YRX2PSET","created_at":"2026-07-05T11:27:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:YRX2PSETDPNZOZR3DDI446DALP","target":"record","payload":{"canonical_record":{"source":{"id":"2506.21484","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T17:12:58Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"6df03725b57143a1b9cd2c4f4f4b046a470908115d40adc2ef40f202c99b2a23","abstract_canon_sha256":"161df52bbbde40948be47b1dcc953c6bfcacd3bd88959e4ddc33b7c427e05e30"},"schema_version":"1.0"},"canonical_sha256":"c46fa7c8931bdb97663b18d1ce78605bf5ed24ae423257a32bd18386c940351f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:27:46.756351Z","signature_b64":"bw/pY3CuebzZn3+t80N45mraofaLTZaB9k5gqZm6XUCe+9n5ynC6K6JRgmVcjdESIC4YYFN9u7AuqTTWEWN7Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c46fa7c8931bdb97663b18d1ce78605bf5ed24ae423257a32bd18386c940351f","last_reissued_at":"2026-07-05T11:27:46.755840Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:27:46.755840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.21484","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":"2026-07-05T11:27:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fi9rhNrIyNgzub4XSzcC2cx24pH5Uvl2Cf31dlmLtUAHJIklnubRp2SzXrW6N9Sa23qAWd5+pEONymCgOOmTAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T15:31:11.800933Z"},"content_sha256":"93ba8375f6be4d250271377969b0d7b9b13ca3bdf71a1f4dec09738c01f1b6f3","schema_version":"1.0","event_id":"sha256:93ba8375f6be4d250271377969b0d7b9b13ca3bdf71a1f4dec09738c01f1b6f3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:YRX2PSETDPNZOZR3DDI446DALP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TITAN: Query-Token based Domain Adaptive Adversarial Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Janibul Bashir, Tajamul Ashraf","submitted_at":"2025-06-26T17:12:58Z","abstract_excerpt":"We focus on the source-free domain adaptive object detection (SF-DAOD) problem when source data is unavailable during adaptation and the model must adapt to an unlabeled target domain. The majority of approaches for the problem employ a self-supervised approach using a student-teacher (ST) framework where pseudo-labels are generated via a source-pretrained model for further fine-tuning. We observe that the performance of a student model often degrades drastically, due to the collapse of the teacher model, primarily caused by high noise in pseudo-labels, resulting from domain bias, discrepancie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21484","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/2506.21484/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":"2026-07-05T11:27:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WtvkOcaalFJdqKTpknVIez4t4Qwl+Rkgx3RVkFYc19w2uevoQGpLh+vOpmessgUM9dX7sk5ExyIcZBlQrtKnCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-18T15:31:11.801327Z"},"content_sha256":"6c0301f1f26770d8143f414d83b218fb875cda1fdd427ab42ccf1253a60e1e49","schema_version":"1.0","event_id":"sha256:6c0301f1f26770d8143f414d83b218fb875cda1fdd427ab42ccf1253a60e1e49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YRX2PSETDPNZOZR3DDI446DALP/bundle.json","state_url":"https://pith.science/pith/YRX2PSETDPNZOZR3DDI446DALP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YRX2PSETDPNZOZR3DDI446DALP/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":"2026-07-18T15:31:11Z","links":{"resolver":"https://pith.science/pith/YRX2PSETDPNZOZR3DDI446DALP","bundle":"https://pith.science/pith/YRX2PSETDPNZOZR3DDI446DALP/bundle.json","state":"https://pith.science/pith/YRX2PSETDPNZOZR3DDI446DALP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YRX2PSETDPNZOZR3DDI446DALP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YRX2PSETDPNZOZR3DDI446DALP","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":"161df52bbbde40948be47b1dcc953c6bfcacd3bd88959e4ddc33b7c427e05e30","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T17:12:58Z","title_canon_sha256":"6df03725b57143a1b9cd2c4f4f4b046a470908115d40adc2ef40f202c99b2a23"},"schema_version":"1.0","source":{"id":"2506.21484","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21484","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21484v1","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21484","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_12","alias_value":"YRX2PSETDPNZ","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"YRX2PSETDPNZOZR3","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"YRX2PSET","created_at":"2026-07-05T11:27:46Z"}],"graph_snapshots":[{"event_id":"sha256:6c0301f1f26770d8143f414d83b218fb875cda1fdd427ab42ccf1253a60e1e49","target":"graph","created_at":"2026-07-05T11:27:46Z","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/2506.21484/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We focus on the source-free domain adaptive object detection (SF-DAOD) problem when source data is unavailable during adaptation and the model must adapt to an unlabeled target domain. The majority of approaches for the problem employ a self-supervised approach using a student-teacher (ST) framework where pseudo-labels are generated via a source-pretrained model for further fine-tuning. We observe that the performance of a student model often degrades drastically, due to the collapse of the teacher model, primarily caused by high noise in pseudo-labels, resulting from domain bias, discrepancie","authors_text":"Janibul Bashir, Tajamul Ashraf","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T17:12:58Z","title":"TITAN: Query-Token based Domain Adaptive Adversarial Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21484","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":"sha256:93ba8375f6be4d250271377969b0d7b9b13ca3bdf71a1f4dec09738c01f1b6f3","target":"record","created_at":"2026-07-05T11:27:46Z","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":"161df52bbbde40948be47b1dcc953c6bfcacd3bd88959e4ddc33b7c427e05e30","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T17:12:58Z","title_canon_sha256":"6df03725b57143a1b9cd2c4f4f4b046a470908115d40adc2ef40f202c99b2a23"},"schema_version":"1.0","source":{"id":"2506.21484","kind":"arxiv","version":1}},"canonical_sha256":"c46fa7c8931bdb97663b18d1ce78605bf5ed24ae423257a32bd18386c940351f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c46fa7c8931bdb97663b18d1ce78605bf5ed24ae423257a32bd18386c940351f","first_computed_at":"2026-07-05T11:27:46.755840Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:27:46.755840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bw/pY3CuebzZn3+t80N45mraofaLTZaB9k5gqZm6XUCe+9n5ynC6K6JRgmVcjdESIC4YYFN9u7AuqTTWEWN7Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:27:46.756351Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.21484","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93ba8375f6be4d250271377969b0d7b9b13ca3bdf71a1f4dec09738c01f1b6f3","sha256:6c0301f1f26770d8143f414d83b218fb875cda1fdd427ab42ccf1253a60e1e49"],"state_sha256":"d5071c89518df4c4e7785cd2a155bd6ee9810b8e584fd5b8136ff2f80e4ad269"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"06BcptxGTwIr9e1bKs53gpvdwX5yuE1KU0J3+Qkowycy2uuLmi3+YdWjVOqkT4rbsOx3rJl129UjvGtM0nr9Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-18T15:31:11.803584Z","bundle_sha256":"809f83c53b512e9a89ef09feef88eac086b69f930203420996ffa8d618fc7728"}}