{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:RX3YMS435Z4UKC6NXTIYDWUZJF","short_pith_number":"pith:RX3YMS43","canonical_record":{"source":{"id":"2403.09124","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T06:16:21Z","cross_cats_sorted":[],"title_canon_sha256":"24b9208a5734ac761b1351dc0d3b7ef3155c35f678545291f047f0f4c9d9eb6a","abstract_canon_sha256":"82e4df7ef0b92335d690d8f0f623a152473da571472b6afe1a94124635649579"},"schema_version":"1.0"},"canonical_sha256":"8df7864b9bee79450bcdbcd181da99495873ab333720b71593fd03a69aa70cc9","source":{"kind":"arxiv","id":"2403.09124","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09124","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09124v2","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09124","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"pith_short_12","alias_value":"RX3YMS435Z4U","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"pith_short_16","alias_value":"RX3YMS435Z4UKC6N","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"pith_short_8","alias_value":"RX3YMS43","created_at":"2026-07-05T08:04:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:RX3YMS435Z4UKC6NXTIYDWUZJF","target":"record","payload":{"canonical_record":{"source":{"id":"2403.09124","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T06:16:21Z","cross_cats_sorted":[],"title_canon_sha256":"24b9208a5734ac761b1351dc0d3b7ef3155c35f678545291f047f0f4c9d9eb6a","abstract_canon_sha256":"82e4df7ef0b92335d690d8f0f623a152473da571472b6afe1a94124635649579"},"schema_version":"1.0"},"canonical_sha256":"8df7864b9bee79450bcdbcd181da99495873ab333720b71593fd03a69aa70cc9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:04:38.413862Z","signature_b64":"6sSCDdOcIrifjVd48N7ibREG6WOIr1sEoHBjSkRYcXGRqaOkQWtHYO3BsgJzgnwHkmNBP9OtzFMLPPpzptXaBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8df7864b9bee79450bcdbcd181da99495873ab333720b71593fd03a69aa70cc9","last_reissued_at":"2026-07-05T08:04:38.413415Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:04:38.413415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.09124","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:04:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sum0fXTcEA0ZkKSGafPNwFYNm21WaqSqSOOD8hiPryhLi31cSc/w5cqWzSekIPVl0YPEskjJX5nvug7rgfvoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:41:03.222912Z"},"content_sha256":"cd32b5c0cbba47996ef30a495ce9f5cb740032216575f70561739a5ecbc33b33","schema_version":"1.0","event_id":"sha256:cd32b5c0cbba47996ef30a495ce9f5cb740032216575f70561739a5ecbc33b33"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:RX3YMS435Z4UKC6NXTIYDWUZJF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Single Domain Generalization for Crowd Counting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"S.-H. Gary Chan, Zhuoxuan Peng","submitted_at":"2024-03-14T06:16:21Z","abstract_excerpt":"Due to its promising results, density map regression has been widely employed for image-based crowd counting. The approach, however, often suffers from severe performance degradation when tested on data from unseen scenarios, the so-called \"domain shift\" problem. To address the problem, we investigate in this work single domain generalization (SDG) for crowd counting. The existing SDG approaches are mainly for image classification and segmentation, and can hardly be extended to our case due to its regression nature and label ambiguity (i.e., ambiguous pixel-level ground truths). We propose MPC"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09124","kind":"arxiv","version":2},"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/2403.09124/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":"2026-07-05T08:04:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gKGXAqhx0Y1gK4+EPT/fDc60o5DJm24jye6h2YCb7sqXlW0pCqjwKbA2LF500mWLVPMguVGOpW9aY3YrEFYPCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:41:03.223403Z"},"content_sha256":"7a5ffbf5e5c1720dac64ea2487dfc4aed0d90bd7962473180bd6cd5322c0ebbf","schema_version":"1.0","event_id":"sha256:7a5ffbf5e5c1720dac64ea2487dfc4aed0d90bd7962473180bd6cd5322c0ebbf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RX3YMS435Z4UKC6NXTIYDWUZJF/bundle.json","state_url":"https://pith.science/pith/RX3YMS435Z4UKC6NXTIYDWUZJF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RX3YMS435Z4UKC6NXTIYDWUZJF/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":"2026-08-10T08:41:03Z","links":{"resolver":"https://pith.science/pith/RX3YMS435Z4UKC6NXTIYDWUZJF","bundle":"https://pith.science/pith/RX3YMS435Z4UKC6NXTIYDWUZJF/bundle.json","state":"https://pith.science/pith/RX3YMS435Z4UKC6NXTIYDWUZJF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RX3YMS435Z4UKC6NXTIYDWUZJF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:RX3YMS435Z4UKC6NXTIYDWUZJF","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":"82e4df7ef0b92335d690d8f0f623a152473da571472b6afe1a94124635649579","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T06:16:21Z","title_canon_sha256":"24b9208a5734ac761b1351dc0d3b7ef3155c35f678545291f047f0f4c9d9eb6a"},"schema_version":"1.0","source":{"id":"2403.09124","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.09124","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"arxiv_version","alias_value":"2403.09124v2","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.09124","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"pith_short_12","alias_value":"RX3YMS435Z4U","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"pith_short_16","alias_value":"RX3YMS435Z4UKC6N","created_at":"2026-07-05T08:04:38Z"},{"alias_kind":"pith_short_8","alias_value":"RX3YMS43","created_at":"2026-07-05T08:04:38Z"}],"graph_snapshots":[{"event_id":"sha256:7a5ffbf5e5c1720dac64ea2487dfc4aed0d90bd7962473180bd6cd5322c0ebbf","target":"graph","created_at":"2026-07-05T08:04:38Z","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/2403.09124/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to its promising results, density map regression has been widely employed for image-based crowd counting. The approach, however, often suffers from severe performance degradation when tested on data from unseen scenarios, the so-called \"domain shift\" problem. To address the problem, we investigate in this work single domain generalization (SDG) for crowd counting. The existing SDG approaches are mainly for image classification and segmentation, and can hardly be extended to our case due to its regression nature and label ambiguity (i.e., ambiguous pixel-level ground truths). We propose MPC","authors_text":"S.-H. Gary Chan, Zhuoxuan Peng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T06:16:21Z","title":"Single Domain Generalization for Crowd Counting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.09124","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:cd32b5c0cbba47996ef30a495ce9f5cb740032216575f70561739a5ecbc33b33","target":"record","created_at":"2026-07-05T08:04:38Z","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":"82e4df7ef0b92335d690d8f0f623a152473da571472b6afe1a94124635649579","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-14T06:16:21Z","title_canon_sha256":"24b9208a5734ac761b1351dc0d3b7ef3155c35f678545291f047f0f4c9d9eb6a"},"schema_version":"1.0","source":{"id":"2403.09124","kind":"arxiv","version":2}},"canonical_sha256":"8df7864b9bee79450bcdbcd181da99495873ab333720b71593fd03a69aa70cc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8df7864b9bee79450bcdbcd181da99495873ab333720b71593fd03a69aa70cc9","first_computed_at":"2026-07-05T08:04:38.413415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:04:38.413415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6sSCDdOcIrifjVd48N7ibREG6WOIr1sEoHBjSkRYcXGRqaOkQWtHYO3BsgJzgnwHkmNBP9OtzFMLPPpzptXaBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:04:38.413862Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.09124","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd32b5c0cbba47996ef30a495ce9f5cb740032216575f70561739a5ecbc33b33","sha256:7a5ffbf5e5c1720dac64ea2487dfc4aed0d90bd7962473180bd6cd5322c0ebbf"],"state_sha256":"c956c2949deae9886fd79860d34a605111af2d5afecb80344544373da94f513d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U1GdR98lY1vEvWKbgdo7QW1ax9cLBnnfeLmk8n7RXrTeoJ3ra3U0BZ6jla/OgbuP5SWzk6aO+x1jFqYqBBL/AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T08:41:03.227481Z","bundle_sha256":"e2326521fbb5fac08aa946f1bccc4ba3229122b79f37091520a76e931844022b"}}