{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:3JC542AM2SCXEYREJXKXJOTV5M","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":"68ad58ea381f3e819a89c572e80c58277a8b2aba079dcc39b588c03d19a6441b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-19T08:12:50Z","title_canon_sha256":"af4160cf69121fdaf11811870510b68e1214f2272a3efe1e67b7aea4f4678a80"},"schema_version":"1.0","source":{"id":"2104.09116","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.09116","created_at":"2026-07-05T04:55:35Z"},{"alias_kind":"arxiv_version","alias_value":"2104.09116v3","created_at":"2026-07-05T04:55:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.09116","created_at":"2026-07-05T04:55:35Z"},{"alias_kind":"pith_short_12","alias_value":"3JC542AM2SCX","created_at":"2026-07-05T04:55:35Z"},{"alias_kind":"pith_short_16","alias_value":"3JC542AM2SCXEYRE","created_at":"2026-07-05T04:55:35Z"},{"alias_kind":"pith_short_8","alias_value":"3JC542AM","created_at":"2026-07-05T04:55:35Z"}],"graph_snapshots":[{"event_id":"sha256:8462bedff06c8b4f6a7acb81661a5a0db33323fc9fefe9d8f720f0c2af3ab60e","target":"graph","created_at":"2026-07-05T04:55:35Z","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/2104.09116/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The mainstream crowd counting methods usually utilize the convolution neural network (CNN) to regress a density map, requiring point-level annotations. However, annotating each person with a point is an expensive and laborious process. During the testing phase, the point-level annotations are not considered to evaluate the counting accuracy, which means the point-level annotations are redundant. Hence, it is desirable to develop weakly-supervised counting methods that just rely on count-level annotations, a more economical way of labeling. Current weakly-supervised counting methods adopt the C","authors_text":"Dingkang Liang, Wei Xu, Xiang Bai, Xiwu Chen, Yu Zhou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-19T08:12:50Z","title":"TransCrowd: weakly-supervised crowd counting with transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.09116","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":"sha256:04034f5a2fe6a0778e4d79b56dee49af33866622b72e446e43a94ebb59b66bb0","target":"record","created_at":"2026-07-05T04:55:35Z","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":"68ad58ea381f3e819a89c572e80c58277a8b2aba079dcc39b588c03d19a6441b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-04-19T08:12:50Z","title_canon_sha256":"af4160cf69121fdaf11811870510b68e1214f2272a3efe1e67b7aea4f4678a80"},"schema_version":"1.0","source":{"id":"2104.09116","kind":"arxiv","version":3}},"canonical_sha256":"da45de680cd4857262244dd574ba75eb341bcecd43f09d4d4fc31a8f3e2283ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da45de680cd4857262244dd574ba75eb341bcecd43f09d4d4fc31a8f3e2283ab","first_computed_at":"2026-07-05T04:55:35.904431Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:55:35.904431Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HsTkANbKecbD8PmFJXURQrdvbwWbewsIr6Qsi1Y9CgB0fIh42HNFZnZBchr3Psas8JVmoHpxBcmZ+wYM3U3fAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:55:35.904895Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.09116","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04034f5a2fe6a0778e4d79b56dee49af33866622b72e446e43a94ebb59b66bb0","sha256:8462bedff06c8b4f6a7acb81661a5a0db33323fc9fefe9d8f720f0c2af3ab60e"],"state_sha256":"fc3e604be54af73308c0dbb8762496090c03ad6fdebab6ce7e9b28591db6eb83"}