{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:U55RQUKD6UC3NJRLZ6ZWHWSNGU","short_pith_number":"pith:U55RQUKD","canonical_record":{"source":{"id":"2404.01819","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-02T10:22:23Z","cross_cats_sorted":[],"title_canon_sha256":"14e2d5975f9f7f6ec87ca21110d4f127526ea253cf592f394c5bcb541ea02b6e","abstract_canon_sha256":"de587b614c88cf926e2554ead74ba79bd5883d0efbf4d9b091473ba5729ed3b0"},"schema_version":"1.0"},"canonical_sha256":"a77b185143f505b6a62bcfb363da4d3520a19c7591bd4a9c66bfa007ca1f275d","source":{"kind":"arxiv","id":"2404.01819","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.01819","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"2404.01819v1","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.01819","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"U55RQUKD6UC3","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"pith_short_16","alias_value":"U55RQUKD6UC3NJRL","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"pith_short_8","alias_value":"U55RQUKD","created_at":"2026-07-05T08:03:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:U55RQUKD6UC3NJRLZ6ZWHWSNGU","target":"record","payload":{"canonical_record":{"source":{"id":"2404.01819","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-02T10:22:23Z","cross_cats_sorted":[],"title_canon_sha256":"14e2d5975f9f7f6ec87ca21110d4f127526ea253cf592f394c5bcb541ea02b6e","abstract_canon_sha256":"de587b614c88cf926e2554ead74ba79bd5883d0efbf4d9b091473ba5729ed3b0"},"schema_version":"1.0"},"canonical_sha256":"a77b185143f505b6a62bcfb363da4d3520a19c7591bd4a9c66bfa007ca1f275d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:03:31.875998Z","signature_b64":"1nOTqUnpZuUofLYc29jJYNlwxF0FfC2y3/28rmPnxxFZbRNUjXQ8g2cWG8kfhX/tGiDmaX+2vHQPNjzBk79rDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a77b185143f505b6a62bcfb363da4d3520a19c7591bd4a9c66bfa007ca1f275d","last_reissued_at":"2026-07-05T08:03:31.875586Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:03:31.875586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.01819","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":"2026-07-05T08:03:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AE6zjUHO5QW9yyc9bJY6aDw3uULMEg4nv1eWATirWAlSDmj7+qRomEr1o5cfungc3CNM3SazKanlZ+Ks19fyCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T11:48:47.023560Z"},"content_sha256":"55d419fb6abe248b8f7daa49d68eec89df9ab8754cabacedeac4dd8fc3dd10e3","schema_version":"1.0","event_id":"sha256:55d419fb6abe248b8f7daa49d68eec89df9ab8754cabacedeac4dd8fc3dd10e3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:U55RQUKD6UC3NJRLZ6ZWHWSNGU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Didier Stricker, Khurram Azeem Hashmi, Muhammad Zeshan Afzal, Tahira Shehzadi","submitted_at":"2024-04-02T10:22:23Z","abstract_excerpt":"In this paper, we address the limitations of the DETR-based semi-supervised object detection (SSOD) framework, particularly focusing on the challenges posed by the quality of object queries. In DETR-based SSOD, the one-to-one assignment strategy provides inaccurate pseudo-labels, while the one-to-many assignments strategy leads to overlapping predictions. These issues compromise training efficiency and degrade model performance, especially in detecting small or occluded objects. We introduce Sparse Semi-DETR, a novel transformer-based, end-to-end semi-supervised object detection solution to ov"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.01819","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/2404.01819/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":"2026-07-05T08:03:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ePPfzTbJKdzsgvt2D2moXK880bx8PSrmNrj4iAnj+tSobkmuHf9Fl8UCwPRFuCuKpegIS8SIgtflql4N/9MvBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T11:48:47.025303Z"},"content_sha256":"b8c40c651d10cdcfd1046083329fbede1e694df6f240c545efdb37b86fdf5283","schema_version":"1.0","event_id":"sha256:b8c40c651d10cdcfd1046083329fbede1e694df6f240c545efdb37b86fdf5283"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U55RQUKD6UC3NJRLZ6ZWHWSNGU/bundle.json","state_url":"https://pith.science/pith/U55RQUKD6UC3NJRLZ6ZWHWSNGU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U55RQUKD6UC3NJRLZ6ZWHWSNGU/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":"2026-08-16T11:48:47Z","links":{"resolver":"https://pith.science/pith/U55RQUKD6UC3NJRLZ6ZWHWSNGU","bundle":"https://pith.science/pith/U55RQUKD6UC3NJRLZ6ZWHWSNGU/bundle.json","state":"https://pith.science/pith/U55RQUKD6UC3NJRLZ6ZWHWSNGU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U55RQUKD6UC3NJRLZ6ZWHWSNGU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:U55RQUKD6UC3NJRLZ6ZWHWSNGU","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":"de587b614c88cf926e2554ead74ba79bd5883d0efbf4d9b091473ba5729ed3b0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-02T10:22:23Z","title_canon_sha256":"14e2d5975f9f7f6ec87ca21110d4f127526ea253cf592f394c5bcb541ea02b6e"},"schema_version":"1.0","source":{"id":"2404.01819","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.01819","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"arxiv_version","alias_value":"2404.01819v1","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.01819","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"pith_short_12","alias_value":"U55RQUKD6UC3","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"pith_short_16","alias_value":"U55RQUKD6UC3NJRL","created_at":"2026-07-05T08:03:31Z"},{"alias_kind":"pith_short_8","alias_value":"U55RQUKD","created_at":"2026-07-05T08:03:31Z"}],"graph_snapshots":[{"event_id":"sha256:b8c40c651d10cdcfd1046083329fbede1e694df6f240c545efdb37b86fdf5283","target":"graph","created_at":"2026-07-05T08:03:31Z","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/2404.01819/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we address the limitations of the DETR-based semi-supervised object detection (SSOD) framework, particularly focusing on the challenges posed by the quality of object queries. In DETR-based SSOD, the one-to-one assignment strategy provides inaccurate pseudo-labels, while the one-to-many assignments strategy leads to overlapping predictions. These issues compromise training efficiency and degrade model performance, especially in detecting small or occluded objects. We introduce Sparse Semi-DETR, a novel transformer-based, end-to-end semi-supervised object detection solution to ov","authors_text":"Didier Stricker, Khurram Azeem Hashmi, Muhammad Zeshan Afzal, Tahira Shehzadi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-02T10:22:23Z","title":"Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.01819","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":"sha256:55d419fb6abe248b8f7daa49d68eec89df9ab8754cabacedeac4dd8fc3dd10e3","target":"record","created_at":"2026-07-05T08:03:31Z","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":"de587b614c88cf926e2554ead74ba79bd5883d0efbf4d9b091473ba5729ed3b0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-02T10:22:23Z","title_canon_sha256":"14e2d5975f9f7f6ec87ca21110d4f127526ea253cf592f394c5bcb541ea02b6e"},"schema_version":"1.0","source":{"id":"2404.01819","kind":"arxiv","version":1}},"canonical_sha256":"a77b185143f505b6a62bcfb363da4d3520a19c7591bd4a9c66bfa007ca1f275d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a77b185143f505b6a62bcfb363da4d3520a19c7591bd4a9c66bfa007ca1f275d","first_computed_at":"2026-07-05T08:03:31.875586Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:03:31.875586Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1nOTqUnpZuUofLYc29jJYNlwxF0FfC2y3/28rmPnxxFZbRNUjXQ8g2cWG8kfhX/tGiDmaX+2vHQPNjzBk79rDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:03:31.875998Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.01819","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55d419fb6abe248b8f7daa49d68eec89df9ab8754cabacedeac4dd8fc3dd10e3","sha256:b8c40c651d10cdcfd1046083329fbede1e694df6f240c545efdb37b86fdf5283"],"state_sha256":"1d5e61c6fc9125cacbe3479b660193a4cc90f2462dd23ea2219de69672bbb3e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lwmNga0fXmwAmE+lH2KSJP4HI9ll46WNWtIicBshneav/0wsPLHblKI+tJu6WjfwDXvXFmdJuIwZ0ipImQ/LBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T11:48:47.097175Z","bundle_sha256":"a1efbc3a3514d9b1213998fe6f634b7d525e51ab4fef54be5bda018ddb29f3ce"}}