{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6Z624KOWWEVLA3MKFUQVGFFYVK","short_pith_number":"pith:6Z624KOW","canonical_record":{"source":{"id":"2509.03893","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:39:16Z","cross_cats_sorted":[],"title_canon_sha256":"5992e604fcf5cd542e4b175f2efb12e9b9746e9e6ea37a9cce86bec348a08a9f","abstract_canon_sha256":"9ea497fa46d0bdca7c4706f18ba9c76fd75fa3c7892b751c9e0ba90c1b1a7afa"},"schema_version":"1.0"},"canonical_sha256":"f67dae29d6b12ab06d8a2d215314b8aaa0293b93dcde8e79c29899103d2bf8e6","source":{"kind":"arxiv","id":"2509.03893","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03893","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03893v1","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03893","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"6Z624KOWWEVL","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"6Z624KOWWEVLA3MK","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"6Z624KOW","created_at":"2026-07-05T12:04:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6Z624KOWWEVLA3MKFUQVGFFYVK","target":"record","payload":{"canonical_record":{"source":{"id":"2509.03893","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:39:16Z","cross_cats_sorted":[],"title_canon_sha256":"5992e604fcf5cd542e4b175f2efb12e9b9746e9e6ea37a9cce86bec348a08a9f","abstract_canon_sha256":"9ea497fa46d0bdca7c4706f18ba9c76fd75fa3c7892b751c9e0ba90c1b1a7afa"},"schema_version":"1.0"},"canonical_sha256":"f67dae29d6b12ab06d8a2d215314b8aaa0293b93dcde8e79c29899103d2bf8e6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:49.297573Z","signature_b64":"zWx+ddMxyvoSmXufafSVZgBLV5PkkA11Mz9NBT/u9hGQygQXiOqUsSHVFDip3sMfg0fkRQDUJ0z3Gmq6hzbyCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f67dae29d6b12ab06d8a2d215314b8aaa0293b93dcde8e79c29899103d2bf8e6","last_reissued_at":"2026-07-05T12:04:49.296955Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:49.296955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.03893","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:04:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"taGwqjBCAmy4GRd9BtMlxncUqo6KuMMix9MRpUK5h4si59pApjHPYT6zyGLZS7MFx0uLflqyvU5CNxWiFp20Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T19:55:02.587642Z"},"content_sha256":"17a239f014c435a606dd6ab9edf305999a02a17d2de9462bcbb93e04972857c5","schema_version":"1.0","event_id":"sha256:17a239f014c435a606dd6ab9edf305999a02a17d2de9462bcbb93e04972857c5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6Z624KOWWEVLA3MKFUQVGFFYVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly-Supervised Learning of Dense Functional Correspondences","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daniel L. K. Yamins, Jiajun Wu, Linan Zhao, Stefan Stojanov, Yunzhi Zhang","submitted_at":"2025-09-04T05:39:16Z","abstract_excerpt":"Establishing dense correspondences across image pairs is essential for tasks such as shape reconstruction and robot manipulation. In the challenging setting of matching across different categories, the function of an object, i.e., the effect that an object can cause on other objects, can guide how correspondences should be established. This is because object parts that enable specific functions often share similarities in shape and appearance. We derive the definition of dense functional correspondence based on this observation and propose a weakly-supervised learning paradigm to tackle the pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03893","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/2509.03893/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":"2026-07-05T12:04:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S7TPAhU2tdEf0rHIpqE4OUB2QLWTSMWAqMtPCYVvXQok0WFQVsBI0o+enjRyFWFVHmBQ2N8o6Y3S9FQnG7jmBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T19:55:02.588382Z"},"content_sha256":"25047767ccb1ee46ec2fdb77ed52fb68b6f8fcf0312e03dfeb6ba54fe5d80d56","schema_version":"1.0","event_id":"sha256:25047767ccb1ee46ec2fdb77ed52fb68b6f8fcf0312e03dfeb6ba54fe5d80d56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6Z624KOWWEVLA3MKFUQVGFFYVK/bundle.json","state_url":"https://pith.science/pith/6Z624KOWWEVLA3MKFUQVGFFYVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6Z624KOWWEVLA3MKFUQVGFFYVK/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":"2026-08-05T19:55:02Z","links":{"resolver":"https://pith.science/pith/6Z624KOWWEVLA3MKFUQVGFFYVK","bundle":"https://pith.science/pith/6Z624KOWWEVLA3MKFUQVGFFYVK/bundle.json","state":"https://pith.science/pith/6Z624KOWWEVLA3MKFUQVGFFYVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6Z624KOWWEVLA3MKFUQVGFFYVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6Z624KOWWEVLA3MKFUQVGFFYVK","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":"9ea497fa46d0bdca7c4706f18ba9c76fd75fa3c7892b751c9e0ba90c1b1a7afa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:39:16Z","title_canon_sha256":"5992e604fcf5cd542e4b175f2efb12e9b9746e9e6ea37a9cce86bec348a08a9f"},"schema_version":"1.0","source":{"id":"2509.03893","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03893","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03893v1","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03893","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_12","alias_value":"6Z624KOWWEVL","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_16","alias_value":"6Z624KOWWEVLA3MK","created_at":"2026-07-05T12:04:49Z"},{"alias_kind":"pith_short_8","alias_value":"6Z624KOW","created_at":"2026-07-05T12:04:49Z"}],"graph_snapshots":[{"event_id":"sha256:25047767ccb1ee46ec2fdb77ed52fb68b6f8fcf0312e03dfeb6ba54fe5d80d56","target":"graph","created_at":"2026-07-05T12:04:49Z","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/2509.03893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Establishing dense correspondences across image pairs is essential for tasks such as shape reconstruction and robot manipulation. In the challenging setting of matching across different categories, the function of an object, i.e., the effect that an object can cause on other objects, can guide how correspondences should be established. This is because object parts that enable specific functions often share similarities in shape and appearance. We derive the definition of dense functional correspondence based on this observation and propose a weakly-supervised learning paradigm to tackle the pr","authors_text":"Daniel L. K. Yamins, Jiajun Wu, Linan Zhao, Stefan Stojanov, Yunzhi Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:39:16Z","title":"Weakly-Supervised Learning of Dense Functional Correspondences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03893","kind":"arxiv","version":1},"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":"sha256:17a239f014c435a606dd6ab9edf305999a02a17d2de9462bcbb93e04972857c5","target":"record","created_at":"2026-07-05T12:04:49Z","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":"9ea497fa46d0bdca7c4706f18ba9c76fd75fa3c7892b751c9e0ba90c1b1a7afa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-09-04T05:39:16Z","title_canon_sha256":"5992e604fcf5cd542e4b175f2efb12e9b9746e9e6ea37a9cce86bec348a08a9f"},"schema_version":"1.0","source":{"id":"2509.03893","kind":"arxiv","version":1}},"canonical_sha256":"f67dae29d6b12ab06d8a2d215314b8aaa0293b93dcde8e79c29899103d2bf8e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f67dae29d6b12ab06d8a2d215314b8aaa0293b93dcde8e79c29899103d2bf8e6","first_computed_at":"2026-07-05T12:04:49.296955Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:49.296955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zWx+ddMxyvoSmXufafSVZgBLV5PkkA11Mz9NBT/u9hGQygQXiOqUsSHVFDip3sMfg0fkRQDUJ0z3Gmq6hzbyCg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:49.297573Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.03893","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17a239f014c435a606dd6ab9edf305999a02a17d2de9462bcbb93e04972857c5","sha256:25047767ccb1ee46ec2fdb77ed52fb68b6f8fcf0312e03dfeb6ba54fe5d80d56"],"state_sha256":"2009e086de60a5f6fd29d599c932e21b653f5e73f95012b0e486daa3531502b6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nshVdbAF5AH6Bn+ZzLFLDqpr6uuqR2p1sV02hEahQohtuQNL+1AfVj4BYARilsmJfxOoJjGXu/RKN+pR4GC6DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T19:55:02.596361Z","bundle_sha256":"13f3d5b1c10ecfa8f51100862dc109917c8e890177a0928fc7400022b742947e"}}