{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:IBWVE6N4CO5J3PYHO4BTX4ZBXW","short_pith_number":"pith:IBWVE6N4","canonical_record":{"source":{"id":"2203.01305","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-02T18:50:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"32289e53131875c3ea018b532f39920ef3026558a3a93fe1c39009892f783b0d","abstract_canon_sha256":"91190fc0519e143167418459836fb74ab900df18701af4fc869d17aa6459e051"},"schema_version":"1.0"},"canonical_sha256":"406d5279bc13ba9dbf0777033bf321bd82ef99fed49a4e0b0b9d9424e8db884b","source":{"kind":"arxiv","id":"2203.01305","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01305","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01305v3","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01305","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"pith_short_12","alias_value":"IBWVE6N4CO5J","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"pith_short_16","alias_value":"IBWVE6N4CO5J3PYH","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"pith_short_8","alias_value":"IBWVE6N4","created_at":"2026-07-05T05:23:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:IBWVE6N4CO5J3PYHO4BTX4ZBXW","target":"record","payload":{"canonical_record":{"source":{"id":"2203.01305","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-02T18:50:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"32289e53131875c3ea018b532f39920ef3026558a3a93fe1c39009892f783b0d","abstract_canon_sha256":"91190fc0519e143167418459836fb74ab900df18701af4fc869d17aa6459e051"},"schema_version":"1.0"},"canonical_sha256":"406d5279bc13ba9dbf0777033bf321bd82ef99fed49a4e0b0b9d9424e8db884b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:23:29.863016Z","signature_b64":"uUwXmhXn4BugdeEOpyvLOa6DZGu5Cv1eNcuYI9hTlSQto/gAdvXzjFkPj1JihnkkRvi71Cgm2VhIVOUiD4iWBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"406d5279bc13ba9dbf0777033bf321bd82ef99fed49a4e0b0b9d9424e8db884b","last_reissued_at":"2026-07-05T05:23:29.862513Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:23:29.862513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.01305","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":"2026-07-05T05:23:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LjYf3OvUHMYvRf8K5fHgZ3n6MGyFvzRHtkOfaM7h+B3FG4AUt0X9QnqoTu+MM9lpK+o5ETsBqep/HHz0K4jjAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T02:12:42.421906Z"},"content_sha256":"9a17b9fa92c7f0918f54a8507bba1af198d65819d6ac21a470f1dc105cc9d0f0","schema_version":"1.0","event_id":"sha256:9a17b9fa92c7f0918f54a8507bba1af198d65819d6ac21a470f1dc105cc9d0f0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:IBWVE6N4CO5J3PYHO4BTX4ZBXW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DN-DETR: Accelerate DETR Training by Introducing Query DeNoising","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Feng Li, Hao Zhang, Jian Guo, Lei Zhang, Lionel M. Ni, Shilong Liu","submitted_at":"2022-03-02T18:50:23Z","abstract_excerpt":"We present in this paper a novel denoising training method to speedup DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like methods. We show that the slow convergence results from the instability of bipartite graph matching which causes inconsistent optimization goals in early training stages. To address this issue, except for the Hungarian loss, our method additionally feeds ground-truth bounding boxes with noises into Transformer decoder and trains the model to reconstruct the original boxes, which effectively reduces the bipartit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01305","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/2203.01305/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":"2026-07-05T05:23:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LN1GhcZ6MxUmkHjV+jr4QDxgafmbVIdCqlHh3Y5cnXxh0eGZ1zgCh9OfA2DLkixveyoYrNkAw7VZGn8X5wbdCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T02:12:42.422463Z"},"content_sha256":"d32e5aee9a3ac6869b8f42c41ec6ed49362a20268e9439f27b7852dbc2f3b56f","schema_version":"1.0","event_id":"sha256:d32e5aee9a3ac6869b8f42c41ec6ed49362a20268e9439f27b7852dbc2f3b56f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IBWVE6N4CO5J3PYHO4BTX4ZBXW/bundle.json","state_url":"https://pith.science/pith/IBWVE6N4CO5J3PYHO4BTX4ZBXW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IBWVE6N4CO5J3PYHO4BTX4ZBXW/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":"2026-08-13T02:12:42Z","links":{"resolver":"https://pith.science/pith/IBWVE6N4CO5J3PYHO4BTX4ZBXW","bundle":"https://pith.science/pith/IBWVE6N4CO5J3PYHO4BTX4ZBXW/bundle.json","state":"https://pith.science/pith/IBWVE6N4CO5J3PYHO4BTX4ZBXW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IBWVE6N4CO5J3PYHO4BTX4ZBXW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IBWVE6N4CO5J3PYHO4BTX4ZBXW","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":"91190fc0519e143167418459836fb74ab900df18701af4fc869d17aa6459e051","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-02T18:50:23Z","title_canon_sha256":"32289e53131875c3ea018b532f39920ef3026558a3a93fe1c39009892f783b0d"},"schema_version":"1.0","source":{"id":"2203.01305","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01305","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01305v3","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01305","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"pith_short_12","alias_value":"IBWVE6N4CO5J","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"pith_short_16","alias_value":"IBWVE6N4CO5J3PYH","created_at":"2026-07-05T05:23:29Z"},{"alias_kind":"pith_short_8","alias_value":"IBWVE6N4","created_at":"2026-07-05T05:23:29Z"}],"graph_snapshots":[{"event_id":"sha256:d32e5aee9a3ac6869b8f42c41ec6ed49362a20268e9439f27b7852dbc2f3b56f","target":"graph","created_at":"2026-07-05T05:23:29Z","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/2203.01305/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present in this paper a novel denoising training method to speedup DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like methods. We show that the slow convergence results from the instability of bipartite graph matching which causes inconsistent optimization goals in early training stages. To address this issue, except for the Hungarian loss, our method additionally feeds ground-truth bounding boxes with noises into Transformer decoder and trains the model to reconstruct the original boxes, which effectively reduces the bipartit","authors_text":"Feng Li, Hao Zhang, Jian Guo, Lei Zhang, Lionel M. Ni, Shilong Liu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-02T18:50:23Z","title":"DN-DETR: Accelerate DETR Training by Introducing Query DeNoising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01305","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":"sha256:9a17b9fa92c7f0918f54a8507bba1af198d65819d6ac21a470f1dc105cc9d0f0","target":"record","created_at":"2026-07-05T05:23:29Z","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":"91190fc0519e143167418459836fb74ab900df18701af4fc869d17aa6459e051","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-02T18:50:23Z","title_canon_sha256":"32289e53131875c3ea018b532f39920ef3026558a3a93fe1c39009892f783b0d"},"schema_version":"1.0","source":{"id":"2203.01305","kind":"arxiv","version":3}},"canonical_sha256":"406d5279bc13ba9dbf0777033bf321bd82ef99fed49a4e0b0b9d9424e8db884b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"406d5279bc13ba9dbf0777033bf321bd82ef99fed49a4e0b0b9d9424e8db884b","first_computed_at":"2026-07-05T05:23:29.862513Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:23:29.862513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uUwXmhXn4BugdeEOpyvLOa6DZGu5Cv1eNcuYI9hTlSQto/gAdvXzjFkPj1JihnkkRvi71Cgm2VhIVOUiD4iWBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:23:29.863016Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.01305","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a17b9fa92c7f0918f54a8507bba1af198d65819d6ac21a470f1dc105cc9d0f0","sha256:d32e5aee9a3ac6869b8f42c41ec6ed49362a20268e9439f27b7852dbc2f3b56f"],"state_sha256":"e67d8c6b3cec7973112fa2642722485b33ab7326a779b117f1bd5bec79bd972e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OitFl4vQ5P3MLm+uE9KcsBLejEvREP1zsC8itzNmoK1NX85vBBPIgMGUEE2hkkEyYFib5zXL/dj5f79ORe0yDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T02:12:42.426989Z","bundle_sha256":"4abb9e8abedfdafbb37647f34c30141488062c4974dddf9c3c8b3220c6e489b2"}}