{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7E4BHPMLJ7CG53OPGCJGZ7PMPH","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":"407068e1d029ff1d9dd96a95800ccbe8551e797ee08cd0c375b3506178f13efb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T05:33:18Z","title_canon_sha256":"b88d6cb461f711b008d94bf3501be758567a7635ddf53ef59600a33811ab7334"},"schema_version":"1.0","source":{"id":"2605.16456","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16456","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16456v1","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16456","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_12","alias_value":"7E4BHPMLJ7CG","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_16","alias_value":"7E4BHPMLJ7CG53OP","created_at":"2026-05-20T00:02:23Z"},{"alias_kind":"pith_short_8","alias_value":"7E4BHPML","created_at":"2026-05-20T00:02:23Z"}],"graph_snapshots":[{"event_id":"sha256:eccc4db857b3f22d475e65107956fbb6f0d2b97fbf8ac8fbf1adac94c24aaef3","target":"graph","created_at":"2026-05-20T00:02:23Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T19:33:35.676567Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T19:21:57.074854Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.16456/integrity.json","findings":[],"snapshot_sha256":"d7d03a40513d1105afff32b621295464cc44674051e272c7031fb9097f18d07a","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding how objects relate to each other in space is fundamental to scene understanding, yet most contrastive pre-training approaches only model pairwise relationships, leaving richer compositional and multi-hop interactions largely unexplored. We introduce Multi-Hop Relational Contrastive Learning (MRCL), a framework that extends spatial contrastive learning to graph-structured scene representations. By tracing k-hop paths through scene graphs built from detected objects, MRCL captures implicit spatial dependencies that go well beyond what direct object pairs can express. We define a mu","authors_text":"Md. Tanvir Raihan, Sheikh Tanvir Ahmed","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T05:33:18Z","title":"Multi-hop Relational Contrastive Learning: Extending Spatial Contrastive Pre-training Beyond Pairwise Relations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16456","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":"sha256:0b700b12b2fee8615f578ec2df1abc85c402a93d332b2e2bc7ccef1fbefd999d","target":"record","created_at":"2026-05-20T00:02:23Z","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":"407068e1d029ff1d9dd96a95800ccbe8551e797ee08cd0c375b3506178f13efb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-15T05:33:18Z","title_canon_sha256":"b88d6cb461f711b008d94bf3501be758567a7635ddf53ef59600a33811ab7334"},"schema_version":"1.0","source":{"id":"2605.16456","kind":"arxiv","version":1}},"canonical_sha256":"f93813bd8b4fc46eedcf30926cfdec79de72d4f65c900d0d1a86b949a1c7b287","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f93813bd8b4fc46eedcf30926cfdec79de72d4f65c900d0d1a86b949a1c7b287","first_computed_at":"2026-05-20T00:02:23.052524Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:23.052524Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YZx0blhIMZthMjhif2wHudvMsUtrle3374lTTsyxrAWiJ0t6Refi8A9qo077evkGE+x0A9QWHh7p/dOjgdE/CA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:23.053398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.16456","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b700b12b2fee8615f578ec2df1abc85c402a93d332b2e2bc7ccef1fbefd999d","sha256:eccc4db857b3f22d475e65107956fbb6f0d2b97fbf8ac8fbf1adac94c24aaef3"],"state_sha256":"fcc38992609f07f3d9498bca1fc9a8f65c42640f12f821e1ad5e5ed308d35413"}