{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MGLKRT42H6RYOLRMDKWQQO3E5S","short_pith_number":"pith:MGLKRT42","canonical_record":{"source":{"id":"2408.11054","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T17:58:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0d18221597609970bfc1e51b796da46f746cd9182fdbff9e4830d35d3b842259","abstract_canon_sha256":"97e10342396ff4a3dfed4fcba5a2f7a1498117a62581fbb018b1239eefb46401"},"schema_version":"1.0"},"canonical_sha256":"6196a8cf9a3fa3872e2c1aad083b64ec99e4cd2b01fa356f69f16761389e16f1","source":{"kind":"arxiv","id":"2408.11054","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.11054","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"2408.11054v3","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.11054","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"MGLKRT42H6RY","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"pith_short_16","alias_value":"MGLKRT42H6RYOLRM","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"pith_short_8","alias_value":"MGLKRT42","created_at":"2026-07-05T10:50:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MGLKRT42H6RYOLRMDKWQQO3E5S","target":"record","payload":{"canonical_record":{"source":{"id":"2408.11054","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T17:58:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0d18221597609970bfc1e51b796da46f746cd9182fdbff9e4830d35d3b842259","abstract_canon_sha256":"97e10342396ff4a3dfed4fcba5a2f7a1498117a62581fbb018b1239eefb46401"},"schema_version":"1.0"},"canonical_sha256":"6196a8cf9a3fa3872e2c1aad083b64ec99e4cd2b01fa356f69f16761389e16f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:50:09.026095Z","signature_b64":"FIes+7o5A9mltAbzmlgxYH3IvOxwc8f7u6yFcvCwgO60SOcnpgoP2Ay62yQCQ0x7LHSrDXETpa0n3241RtijBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6196a8cf9a3fa3872e2c1aad083b64ec99e4cd2b01fa356f69f16761389e16f1","last_reissued_at":"2026-07-05T10:50:09.025670Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:50:09.025670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.11054","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pRwnN4HZXaAJR0x6RAAfiJdwC55XXXs8nZLSZfygh6rtn/3dwr7yRH3c410vN9lWbhuksZlI2Tr555a6C4LQDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:25:07.866170Z"},"content_sha256":"a39634524f0d137eb70c58d9524c05dd005080db2890fd39cac10300cfc3e3e8","schema_version":"1.0","event_id":"sha256:a39634524f0d137eb70c58d9524c05dd005080db2890fd39cac10300cfc3e3e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MGLKRT42H6RYOLRMDKWQQO3E5S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Near, far: Patch-ordering enhances vision foundation models' scene understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Francesco Locatello, Gertjan Burghouts, Mohammadreza Salehi, Valentinos Pariza, Yuki M. Asano","submitted_at":"2024-08-20T17:58:59Z","abstract_excerpt":"We introduce NeCo: Patch Neighbor Consistency, a novel self-supervised training loss that enforces patch-level nearest neighbor consistency across a student and teacher model. Compared to contrastive approaches that only yield binary learning signals, i.e., 'attract' and 'repel', this approach benefits from the more fine-grained learning signal of sorting spatially dense features relative to reference patches. Our method leverages differentiable sorting applied on top of pretrained representations, such as DINOv2-registers to bootstrap the learning signal and further improve upon them. This de"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.11054","kind":"arxiv","version":3},"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/2408.11054/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":"2026-07-05T10:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aiUIvaJL3R251SwdZxD9x9PQ9wpujWyzqELqX8A7uKEx0fiav+0UvpV70T6xQZVht/q9/coxUzCQ/1r/NkmrDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:25:07.866553Z"},"content_sha256":"6802f12443d407ebbc66e8c0885ad6cf29b17aec6a2f535d5495dee7ae7ea779","schema_version":"1.0","event_id":"sha256:6802f12443d407ebbc66e8c0885ad6cf29b17aec6a2f535d5495dee7ae7ea779"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MGLKRT42H6RYOLRMDKWQQO3E5S/bundle.json","state_url":"https://pith.science/pith/MGLKRT42H6RYOLRMDKWQQO3E5S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MGLKRT42H6RYOLRMDKWQQO3E5S/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":"2026-07-07T10:25:07Z","links":{"resolver":"https://pith.science/pith/MGLKRT42H6RYOLRMDKWQQO3E5S","bundle":"https://pith.science/pith/MGLKRT42H6RYOLRMDKWQQO3E5S/bundle.json","state":"https://pith.science/pith/MGLKRT42H6RYOLRMDKWQQO3E5S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MGLKRT42H6RYOLRMDKWQQO3E5S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MGLKRT42H6RYOLRMDKWQQO3E5S","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":"97e10342396ff4a3dfed4fcba5a2f7a1498117a62581fbb018b1239eefb46401","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T17:58:59Z","title_canon_sha256":"0d18221597609970bfc1e51b796da46f746cd9182fdbff9e4830d35d3b842259"},"schema_version":"1.0","source":{"id":"2408.11054","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.11054","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"2408.11054v3","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.11054","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"MGLKRT42H6RY","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"pith_short_16","alias_value":"MGLKRT42H6RYOLRM","created_at":"2026-07-05T10:50:09Z"},{"alias_kind":"pith_short_8","alias_value":"MGLKRT42","created_at":"2026-07-05T10:50:09Z"}],"graph_snapshots":[{"event_id":"sha256:6802f12443d407ebbc66e8c0885ad6cf29b17aec6a2f535d5495dee7ae7ea779","target":"graph","created_at":"2026-07-05T10:50:09Z","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/2408.11054/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce NeCo: Patch Neighbor Consistency, a novel self-supervised training loss that enforces patch-level nearest neighbor consistency across a student and teacher model. Compared to contrastive approaches that only yield binary learning signals, i.e., 'attract' and 'repel', this approach benefits from the more fine-grained learning signal of sorting spatially dense features relative to reference patches. Our method leverages differentiable sorting applied on top of pretrained representations, such as DINOv2-registers to bootstrap the learning signal and further improve upon them. This de","authors_text":"Francesco Locatello, Gertjan Burghouts, Mohammadreza Salehi, Valentinos Pariza, Yuki M. Asano","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T17:58:59Z","title":"Near, far: Patch-ordering enhances vision foundation models' scene understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.11054","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:a39634524f0d137eb70c58d9524c05dd005080db2890fd39cac10300cfc3e3e8","target":"record","created_at":"2026-07-05T10:50:09Z","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":"97e10342396ff4a3dfed4fcba5a2f7a1498117a62581fbb018b1239eefb46401","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-20T17:58:59Z","title_canon_sha256":"0d18221597609970bfc1e51b796da46f746cd9182fdbff9e4830d35d3b842259"},"schema_version":"1.0","source":{"id":"2408.11054","kind":"arxiv","version":3}},"canonical_sha256":"6196a8cf9a3fa3872e2c1aad083b64ec99e4cd2b01fa356f69f16761389e16f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6196a8cf9a3fa3872e2c1aad083b64ec99e4cd2b01fa356f69f16761389e16f1","first_computed_at":"2026-07-05T10:50:09.025670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:50:09.025670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FIes+7o5A9mltAbzmlgxYH3IvOxwc8f7u6yFcvCwgO60SOcnpgoP2Ay62yQCQ0x7LHSrDXETpa0n3241RtijBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:50:09.026095Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.11054","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a39634524f0d137eb70c58d9524c05dd005080db2890fd39cac10300cfc3e3e8","sha256:6802f12443d407ebbc66e8c0885ad6cf29b17aec6a2f535d5495dee7ae7ea779"],"state_sha256":"c58427e16a74a77c9c036cec1aedc21d36935eb1f9231f38ffd0b2be9921244c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XMaFLdorp5R8kBB6Fo3vRudv88SWpmRGs+GwRoFJK0HYAZuV/hYccxC+IlOOcPQ9dnCZi/iwyf4Pfbbg2PzTCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:25:07.868483Z","bundle_sha256":"46c78d7ddf71e7637f12bfd91acbc19f2f8984d0acce7895808a225824ca240b"}}