{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BVDM5B3YSCTTGBP64255JBTOPX","short_pith_number":"pith:BVDM5B3Y","canonical_record":{"source":{"id":"2606.12985","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:21:58Z","cross_cats_sorted":[],"title_canon_sha256":"78ee25bd638bb2ddb788819a323daf9726c0717636248ff9d3033c8a7a3f80f9","abstract_canon_sha256":"1ea63ccb50837f5c94964ffc14cf27fd8c2bc53989a39664d914179457c35a76"},"schema_version":"1.0"},"canonical_sha256":"0d46ce877890a73305fee6bbd4866e7df59f89b650ea24bd3a76e1dad752aa19","source":{"kind":"arxiv","id":"2606.12985","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12985","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12985v1","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12985","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_12","alias_value":"BVDM5B3YSCTT","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_16","alias_value":"BVDM5B3YSCTTGBP6","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_8","alias_value":"BVDM5B3Y","created_at":"2026-06-12T01:09:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BVDM5B3YSCTTGBP64255JBTOPX","target":"record","payload":{"canonical_record":{"source":{"id":"2606.12985","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:21:58Z","cross_cats_sorted":[],"title_canon_sha256":"78ee25bd638bb2ddb788819a323daf9726c0717636248ff9d3033c8a7a3f80f9","abstract_canon_sha256":"1ea63ccb50837f5c94964ffc14cf27fd8c2bc53989a39664d914179457c35a76"},"schema_version":"1.0"},"canonical_sha256":"0d46ce877890a73305fee6bbd4866e7df59f89b650ea24bd3a76e1dad752aa19","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:09:36.184129Z","signature_b64":"Jk7OFPjR4It5DzgWG8iAlvFbfEqas19R8x5xKoB0ZTVjwiYSG6E00VrzbcRvWS19CciNRiJLlTyXZstOG49PCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d46ce877890a73305fee6bbd4866e7df59f89b650ea24bd3a76e1dad752aa19","last_reissued_at":"2026-06-12T01:09:36.183721Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:09:36.183721Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.12985","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":"2026-06-12T01:09:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lDQ+Ex/aDLFBGb34NFkTuJi6MtMFJ81WHDTlAwLN7kuzGoo0J88eI00oGOfSuIHnpYQ094VLnX1t1phhosw0AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T02:26:27.726609Z"},"content_sha256":"2f0a25362b22d8a67b4673bb698a21cb6d9aa28e9c098156953a1e3f0e4716fc","schema_version":"1.0","event_id":"sha256:2f0a25362b22d8a67b4673bb698a21cb6d9aa28e9c098156953a1e3f0e4716fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BVDM5B3YSCTTGBP64255JBTOPX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Objects Before Words: Object-First Inductive Biases for Grounding Language in Child-View Video","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abrham Kahsay Gebreselasie, Daniel Harari, Kartik Kuckreja, Muhammad Haris Khan, Muhammad Umer Sheikh, Sathira Silva","submitted_at":"2026-06-11T07:21:58Z","abstract_excerpt":"Learning grounded word meaning from natural experience requires resolving two ambiguities in infant-view recordings: when the named referent appears and where it is in a cluttered frame. In SAYCam-style data, caregiver speech is sparse and weakly synchronized with egocentric video, so single-frame contrastive pairing yields noisy positives in which the intended object is absent or entangled with distractors. We propose BabyMind, an object-first bias for child-view contrastive learning under sparse, noisy supervision. BabyMind extracts candidate object embeddings using an offline mask-based reg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12985","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/2606.12985/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":"2026-06-12T01:09:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ygOG5UC2gkcXwdpW5PPAER+3mGUGPOxa8oBCZrOVYsSRWHdONazVMa9w3GfGl/M6tL27MS9KHOvc0/KBmJxAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T02:26:27.726974Z"},"content_sha256":"c90f8c7e70c7f4d6f2d3314e0938cb6c84809a2fa377bf0af250e6c413afd6c7","schema_version":"1.0","event_id":"sha256:c90f8c7e70c7f4d6f2d3314e0938cb6c84809a2fa377bf0af250e6c413afd6c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BVDM5B3YSCTTGBP64255JBTOPX/bundle.json","state_url":"https://pith.science/pith/BVDM5B3YSCTTGBP64255JBTOPX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BVDM5B3YSCTTGBP64255JBTOPX/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":"2026-06-28T02:26:27Z","links":{"resolver":"https://pith.science/pith/BVDM5B3YSCTTGBP64255JBTOPX","bundle":"https://pith.science/pith/BVDM5B3YSCTTGBP64255JBTOPX/bundle.json","state":"https://pith.science/pith/BVDM5B3YSCTTGBP64255JBTOPX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BVDM5B3YSCTTGBP64255JBTOPX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BVDM5B3YSCTTGBP64255JBTOPX","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":"1ea63ccb50837f5c94964ffc14cf27fd8c2bc53989a39664d914179457c35a76","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:21:58Z","title_canon_sha256":"78ee25bd638bb2ddb788819a323daf9726c0717636248ff9d3033c8a7a3f80f9"},"schema_version":"1.0","source":{"id":"2606.12985","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12985","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12985v1","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12985","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_12","alias_value":"BVDM5B3YSCTT","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_16","alias_value":"BVDM5B3YSCTTGBP6","created_at":"2026-06-12T01:09:36Z"},{"alias_kind":"pith_short_8","alias_value":"BVDM5B3Y","created_at":"2026-06-12T01:09:36Z"}],"graph_snapshots":[{"event_id":"sha256:c90f8c7e70c7f4d6f2d3314e0938cb6c84809a2fa377bf0af250e6c413afd6c7","target":"graph","created_at":"2026-06-12T01:09:36Z","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/2606.12985/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning grounded word meaning from natural experience requires resolving two ambiguities in infant-view recordings: when the named referent appears and where it is in a cluttered frame. In SAYCam-style data, caregiver speech is sparse and weakly synchronized with egocentric video, so single-frame contrastive pairing yields noisy positives in which the intended object is absent or entangled with distractors. We propose BabyMind, an object-first bias for child-view contrastive learning under sparse, noisy supervision. BabyMind extracts candidate object embeddings using an offline mask-based reg","authors_text":"Abrham Kahsay Gebreselasie, Daniel Harari, Kartik Kuckreja, Muhammad Haris Khan, Muhammad Umer Sheikh, Sathira Silva","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:21:58Z","title":"Objects Before Words: Object-First Inductive Biases for Grounding Language in Child-View Video"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12985","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":"sha256:2f0a25362b22d8a67b4673bb698a21cb6d9aa28e9c098156953a1e3f0e4716fc","target":"record","created_at":"2026-06-12T01:09:36Z","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":"1ea63ccb50837f5c94964ffc14cf27fd8c2bc53989a39664d914179457c35a76","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-11T07:21:58Z","title_canon_sha256":"78ee25bd638bb2ddb788819a323daf9726c0717636248ff9d3033c8a7a3f80f9"},"schema_version":"1.0","source":{"id":"2606.12985","kind":"arxiv","version":1}},"canonical_sha256":"0d46ce877890a73305fee6bbd4866e7df59f89b650ea24bd3a76e1dad752aa19","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d46ce877890a73305fee6bbd4866e7df59f89b650ea24bd3a76e1dad752aa19","first_computed_at":"2026-06-12T01:09:36.183721Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:09:36.183721Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jk7OFPjR4It5DzgWG8iAlvFbfEqas19R8x5xKoB0ZTVjwiYSG6E00VrzbcRvWS19CciNRiJLlTyXZstOG49PCw==","signature_status":"signed_v1","signed_at":"2026-06-12T01:09:36.184129Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12985","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f0a25362b22d8a67b4673bb698a21cb6d9aa28e9c098156953a1e3f0e4716fc","sha256:c90f8c7e70c7f4d6f2d3314e0938cb6c84809a2fa377bf0af250e6c413afd6c7"],"state_sha256":"fb3565e77150cd055753ca7ec885b992b565b3367c63dc6fb6a80aab3016b5d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UiBCH0TynzP2c6bsa+W4VdAW/xTJlN6qRbHgUtTRPVfhcqIWiQDlnUV+IZJ1OtOoNN9QdPnYGAf7Zgt4isiQDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T02:26:27.729254Z","bundle_sha256":"8fa859754a543e51afd85f92e1e1399639f84af70544050b2f71a8d2a99b2833"}}