{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:M4PUITFNXZAF7L2Z46DX2F3YPE","short_pith_number":"pith:M4PUITFN","schema_version":"1.0","canonical_sha256":"671f444cadbe405faf59e7877d1778790066e55c596207415491ad5ea39211b0","source":{"kind":"arxiv","id":"2605.17042","version":1},"attestation_state":"computed","paper":{"title":"Thermal-Only Crowd Counting with Deployment-Time Privacy Protection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bowen Deng, Chun Pong Lau, Chun Tong Lei, Michael P. Pound, Xiaopeng Hong, Yifei Qian, Zhongliang Guo","submitted_at":"2026-05-16T15:21:34Z","abstract_excerpt":"While RGB-Thermal crowd counting has shown promise, the paradigm faces critical limitations: RGB data raises privacy concerns in public surveillance, and multi-modal misalignment degrades fusion performance. We propose the first thermal-only framework specifically designed for privacy-conscious crowd counting, eliminating RGB dependency at inference time and substantially reducing the privacy exposure associated with continuous RGB capture in public surveillance deployments. To mitigate thermal ambiguity, we leverage depth-to-RGB diffusion models as a cross-modal bridge, extracting discriminat"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.17042","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-16T15:21:34Z","cross_cats_sorted":[],"title_canon_sha256":"ab228cdc6cc90cb1c7acbd58d7a9676434c1e0ca4d72fe5e42c61abaa32530ee","abstract_canon_sha256":"cd4186fff7da89569b960e5c5d49c642e238578f7ff0f39844de943a4b2e97e3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:03:37.528271Z","signature_b64":"4BksaSqVJ+WXy24LqnITQ/I3Sk1j4iXId0TZoK5lwnFKruCznzYhr99X3qKitGh+D2sYWw1VpiCf18t8wtxxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"671f444cadbe405faf59e7877d1778790066e55c596207415491ad5ea39211b0","last_reissued_at":"2026-05-20T00:03:37.527609Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:03:37.527609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Thermal-Only Crowd Counting with Deployment-Time Privacy Protection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bowen Deng, Chun Pong Lau, Chun Tong Lei, Michael P. Pound, Xiaopeng Hong, Yifei Qian, Zhongliang Guo","submitted_at":"2026-05-16T15:21:34Z","abstract_excerpt":"While RGB-Thermal crowd counting has shown promise, the paradigm faces critical limitations: RGB data raises privacy concerns in public surveillance, and multi-modal misalignment degrades fusion performance. We propose the first thermal-only framework specifically designed for privacy-conscious crowd counting, eliminating RGB dependency at inference time and substantially reducing the privacy exposure associated with continuous RGB capture in public surveillance deployments. To mitigate thermal ambiguity, we leverage depth-to-RGB diffusion models as a cross-modal bridge, extracting discriminat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17042","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/2605.17042/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T22:33:23.831968Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T22:21:57.776170Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"3b9772d10f5355262b597be36a4b60e3c4403a3b18082ef6b331884d5b4f40b3"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.17042","created_at":"2026-05-20T00:03:37.527690+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.17042v1","created_at":"2026-05-20T00:03:37.527690+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17042","created_at":"2026-05-20T00:03:37.527690+00:00"},{"alias_kind":"pith_short_12","alias_value":"M4PUITFNXZAF","created_at":"2026-05-20T00:03:37.527690+00:00"},{"alias_kind":"pith_short_16","alias_value":"M4PUITFNXZAF7L2Z","created_at":"2026-05-20T00:03:37.527690+00:00"},{"alias_kind":"pith_short_8","alias_value":"M4PUITFN","created_at":"2026-05-20T00:03:37.527690+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE","json":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE.json","graph_json":"https://pith.science/api/pith-number/M4PUITFNXZAF7L2Z46DX2F3YPE/graph.json","events_json":"https://pith.science/api/pith-number/M4PUITFNXZAF7L2Z46DX2F3YPE/events.json","paper":"https://pith.science/paper/M4PUITFN"},"agent_actions":{"view_html":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE","download_json":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE.json","view_paper":"https://pith.science/paper/M4PUITFN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.17042&json=true","fetch_graph":"https://pith.science/api/pith-number/M4PUITFNXZAF7L2Z46DX2F3YPE/graph.json","fetch_events":"https://pith.science/api/pith-number/M4PUITFNXZAF7L2Z46DX2F3YPE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE/action/storage_attestation","attest_author":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE/action/author_attestation","sign_citation":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE/action/citation_signature","submit_replication":"https://pith.science/pith/M4PUITFNXZAF7L2Z46DX2F3YPE/action/replication_record"}},"created_at":"2026-05-20T00:03:37.527690+00:00","updated_at":"2026-05-20T00:03:37.527690+00:00"}