{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QZJUQDAVNOUBPUVGQXVF5TB5SC","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":"24d5e0fe0d6f69956cd3611534ce8b45f82f465458663048459a48ad80c1ed95","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-26T05:21:30Z","title_canon_sha256":"a90fedc7701651657dbb0391d9dc649271210aec950d19d5ec2739bb768228fc"},"schema_version":"1.0","source":{"id":"2202.13065","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.13065","created_at":"2026-07-05T04:46:35Z"},{"alias_kind":"arxiv_version","alias_value":"2202.13065v2","created_at":"2026-07-05T04:46:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.13065","created_at":"2026-07-05T04:46:35Z"},{"alias_kind":"pith_short_12","alias_value":"QZJUQDAVNOUB","created_at":"2026-07-05T04:46:35Z"},{"alias_kind":"pith_short_16","alias_value":"QZJUQDAVNOUBPUVG","created_at":"2026-07-05T04:46:35Z"},{"alias_kind":"pith_short_8","alias_value":"QZJUQDAV","created_at":"2026-07-05T04:46:35Z"}],"graph_snapshots":[{"event_id":"sha256:31bd1bc9f6824e6069164f90ea48b845f3c9697160a24f17033bd5cd753129a6","target":"graph","created_at":"2026-07-05T04:46:35Z","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/2202.13065/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Crowd localization, predicting head positions, is a more practical and high-level task than simply counting. Existing methods employ pseudo-bounding boxes or pre-designed localization maps, relying on complex post-processing to obtain the head positions. In this paper, we propose an elegant, end-to-end Crowd Localization Transformer named CLTR that solves the task in the regression-based paradigm. The proposed method views the crowd localization as a direct set prediction problem, taking extracted features and trainable embeddings as input of the transformer-decoder. To reduce the ambiguous po","authors_text":"Dingkang Liang, Wei Xu, Xiang Bai","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-26T05:21:30Z","title":"An End-to-End Transformer Model for Crowd Localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.13065","kind":"arxiv","version":2},"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":"sha256:27de65a7a4954ccd5110ebf955058dcdd3eaff63e928a90a2dc0ea0132fb6e52","target":"record","created_at":"2026-07-05T04:46:35Z","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":"24d5e0fe0d6f69956cd3611534ce8b45f82f465458663048459a48ad80c1ed95","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2022-02-26T05:21:30Z","title_canon_sha256":"a90fedc7701651657dbb0391d9dc649271210aec950d19d5ec2739bb768228fc"},"schema_version":"1.0","source":{"id":"2202.13065","kind":"arxiv","version":2}},"canonical_sha256":"8653480c156ba817d2a685ea5ecc3d908123af6955eb00f6b03513234f9d7a2e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8653480c156ba817d2a685ea5ecc3d908123af6955eb00f6b03513234f9d7a2e","first_computed_at":"2026-07-05T04:46:35.249308Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:46:35.249308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nBrQ0AnHu4ZfRbwkCUe2yNvwGfVZ8M92Gkj9Fkx1S4HRrQ2cAh45G6z+pycF0hOQUDz4g0WKy56nABitAlMrDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:46:35.249723Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.13065","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:27de65a7a4954ccd5110ebf955058dcdd3eaff63e928a90a2dc0ea0132fb6e52","sha256:31bd1bc9f6824e6069164f90ea48b845f3c9697160a24f17033bd5cd753129a6"],"state_sha256":"df09de3e73ccd7d02d3dd0b01ae1cb72d1f904c6e0c3526030f4be8c04508690"}