{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:22JAGQC4FLHFXP6OCTFMNIR5EF","short_pith_number":"pith:22JAGQC4","canonical_record":{"source":{"id":"2506.14212","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-17T06:03:44Z","cross_cats_sorted":[],"title_canon_sha256":"69c7c8d8e50eabf420918be382b42ddfbde7716d591fb29d2f8840d5f07d39bd","abstract_canon_sha256":"b4faf448fff4abf1bae093d1ad3583888bfd3440644a4e40eee77a6cdb21af27"},"schema_version":"1.0"},"canonical_sha256":"d69203405c2ace5bbfce14cac6a23d215b2276ca3ca5da3a82e77f70d3b61265","source":{"kind":"arxiv","id":"2506.14212","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14212","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14212v1","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14212","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"pith_short_12","alias_value":"22JAGQC4FLHF","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"pith_short_16","alias_value":"22JAGQC4FLHFXP6O","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"pith_short_8","alias_value":"22JAGQC4","created_at":"2026-07-05T11:22:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:22JAGQC4FLHFXP6OCTFMNIR5EF","target":"record","payload":{"canonical_record":{"source":{"id":"2506.14212","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-17T06:03:44Z","cross_cats_sorted":[],"title_canon_sha256":"69c7c8d8e50eabf420918be382b42ddfbde7716d591fb29d2f8840d5f07d39bd","abstract_canon_sha256":"b4faf448fff4abf1bae093d1ad3583888bfd3440644a4e40eee77a6cdb21af27"},"schema_version":"1.0"},"canonical_sha256":"d69203405c2ace5bbfce14cac6a23d215b2276ca3ca5da3a82e77f70d3b61265","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:51.017079Z","signature_b64":"JBcQ74J+XT2+F8zSdg53LjJfdhDf+D5KqXiSsSE7Sog5kAZkKjEjxk+Z8geYfVZwR8zcItwq0nCgx4X2E+/iDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d69203405c2ace5bbfce14cac6a23d215b2276ca3ca5da3a82e77f70d3b61265","last_reissued_at":"2026-07-05T11:22:51.016555Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:51.016555Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.14212","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":"2026-07-05T11:22:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mDwxWIC0zmJ9AAWOjMHCs4gMWYIZmGSpkYZHk4rkTN0lmSMjV0n99WDNX+6adf94lR5MWUPjA2ntEhW4dyrVBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:29:57.192053Z"},"content_sha256":"ed703dfdb40b1859ebc39707f5f0dabc2e792194465a5b5fd7bf39e76be3d300","schema_version":"1.0","event_id":"sha256:ed703dfdb40b1859ebc39707f5f0dabc2e792194465a5b5fd7bf39e76be3d300"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:22JAGQC4FLHFXP6OCTFMNIR5EF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"What's in the Box? Reasoning about Unseen Objects from Multimodal Cues","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alicia Zhang, Daniel Xu, Joshua B. Tenenbaum, Katherine M. Collins, Lance Ying, Max H. Siegel","submitted_at":"2025-06-17T06:03:44Z","abstract_excerpt":"People regularly make inferences about objects in the world that they cannot see by flexibly integrating information from multiple sources: auditory and visual cues, language, and our prior beliefs and knowledge about the scene. How are we able to so flexibly integrate many sources of information to make sense of the world around us, even if we have no direct knowledge? In this work, we propose a neurosymbolic model that uses neural networks to parse open-ended multimodal inputs and then applies a Bayesian model to integrate different sources of information to evaluate different hypotheses. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14212","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/2506.14212/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":"2026-07-05T11:22:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Jo3n5Elf5TdB0x7Lk6DzLHcR8NKkHQ5Ly7y027mpaI7nC0virZx9JE9l32ctOTRVV6n5kSmNxPa22J2Z1uSCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T05:29:57.192595Z"},"content_sha256":"db5810f818bfbe72c3156607d28531f544e7f555ebb21d85f23013ae547da88a","schema_version":"1.0","event_id":"sha256:db5810f818bfbe72c3156607d28531f544e7f555ebb21d85f23013ae547da88a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/22JAGQC4FLHFXP6OCTFMNIR5EF/bundle.json","state_url":"https://pith.science/pith/22JAGQC4FLHFXP6OCTFMNIR5EF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/22JAGQC4FLHFXP6OCTFMNIR5EF/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":"2026-08-09T05:29:57Z","links":{"resolver":"https://pith.science/pith/22JAGQC4FLHFXP6OCTFMNIR5EF","bundle":"https://pith.science/pith/22JAGQC4FLHFXP6OCTFMNIR5EF/bundle.json","state":"https://pith.science/pith/22JAGQC4FLHFXP6OCTFMNIR5EF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/22JAGQC4FLHFXP6OCTFMNIR5EF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:22JAGQC4FLHFXP6OCTFMNIR5EF","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":"b4faf448fff4abf1bae093d1ad3583888bfd3440644a4e40eee77a6cdb21af27","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-17T06:03:44Z","title_canon_sha256":"69c7c8d8e50eabf420918be382b42ddfbde7716d591fb29d2f8840d5f07d39bd"},"schema_version":"1.0","source":{"id":"2506.14212","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.14212","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"arxiv_version","alias_value":"2506.14212v1","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.14212","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"pith_short_12","alias_value":"22JAGQC4FLHF","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"pith_short_16","alias_value":"22JAGQC4FLHFXP6O","created_at":"2026-07-05T11:22:51Z"},{"alias_kind":"pith_short_8","alias_value":"22JAGQC4","created_at":"2026-07-05T11:22:51Z"}],"graph_snapshots":[{"event_id":"sha256:db5810f818bfbe72c3156607d28531f544e7f555ebb21d85f23013ae547da88a","target":"graph","created_at":"2026-07-05T11:22:51Z","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/2506.14212/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"People regularly make inferences about objects in the world that they cannot see by flexibly integrating information from multiple sources: auditory and visual cues, language, and our prior beliefs and knowledge about the scene. How are we able to so flexibly integrate many sources of information to make sense of the world around us, even if we have no direct knowledge? In this work, we propose a neurosymbolic model that uses neural networks to parse open-ended multimodal inputs and then applies a Bayesian model to integrate different sources of information to evaluate different hypotheses. We","authors_text":"Alicia Zhang, Daniel Xu, Joshua B. Tenenbaum, Katherine M. Collins, Lance Ying, Max H. Siegel","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-17T06:03:44Z","title":"What's in the Box? Reasoning about Unseen Objects from Multimodal Cues"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.14212","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:ed703dfdb40b1859ebc39707f5f0dabc2e792194465a5b5fd7bf39e76be3d300","target":"record","created_at":"2026-07-05T11:22:51Z","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":"b4faf448fff4abf1bae093d1ad3583888bfd3440644a4e40eee77a6cdb21af27","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-17T06:03:44Z","title_canon_sha256":"69c7c8d8e50eabf420918be382b42ddfbde7716d591fb29d2f8840d5f07d39bd"},"schema_version":"1.0","source":{"id":"2506.14212","kind":"arxiv","version":1}},"canonical_sha256":"d69203405c2ace5bbfce14cac6a23d215b2276ca3ca5da3a82e77f70d3b61265","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d69203405c2ace5bbfce14cac6a23d215b2276ca3ca5da3a82e77f70d3b61265","first_computed_at":"2026-07-05T11:22:51.016555Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:51.016555Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JBcQ74J+XT2+F8zSdg53LjJfdhDf+D5KqXiSsSE7Sog5kAZkKjEjxk+Z8geYfVZwR8zcItwq0nCgx4X2E+/iDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:51.017079Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.14212","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed703dfdb40b1859ebc39707f5f0dabc2e792194465a5b5fd7bf39e76be3d300","sha256:db5810f818bfbe72c3156607d28531f544e7f555ebb21d85f23013ae547da88a"],"state_sha256":"ffec51e34d8915bc77be3d82cc11be8c9ed4bc7af746016973ccc854269b94ef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dpM4BO/7pqtg+qeMFqzi21QLsU4kHm8tKDPlmsj5sjOKEhodFNvFAnoi0Bji+UnlR5IPRqAuKnlm52mY6OV3CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T05:29:57.196130Z","bundle_sha256":"4c15d6f5f6d157ad223a93a7a6855acd50117c9e1ae8e9e92f4a3cadd05b088e"}}