{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:E7AWZXVN5ABXQ32RSRLV5Z3AW4","short_pith_number":"pith:E7AWZXVN","canonical_record":{"source":{"id":"2309.06680","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-13T02:35:59Z","cross_cats_sorted":[],"title_canon_sha256":"412a143c35cd686d10d6f8ea7e0e0d966f503a206da044ef7bfc046ebdc5d90a","abstract_canon_sha256":"40137e4db26efc28f9d0c25ba785dfba7cbeb09f9d8e610af10dd26128aba427"},"schema_version":"1.0"},"canonical_sha256":"27c16cdeade803786f5194575ee760b72645d4a7bddbd08e292af67d314c53e8","source":{"kind":"arxiv","id":"2309.06680","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.06680","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"arxiv_version","alias_value":"2309.06680v3","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.06680","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"pith_short_12","alias_value":"E7AWZXVN5ABX","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"pith_short_16","alias_value":"E7AWZXVN5ABXQ32R","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"pith_short_8","alias_value":"E7AWZXVN","created_at":"2026-07-05T10:21:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:E7AWZXVN5ABXQ32RSRLV5Z3AW4","target":"record","payload":{"canonical_record":{"source":{"id":"2309.06680","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-13T02:35:59Z","cross_cats_sorted":[],"title_canon_sha256":"412a143c35cd686d10d6f8ea7e0e0d966f503a206da044ef7bfc046ebdc5d90a","abstract_canon_sha256":"40137e4db26efc28f9d0c25ba785dfba7cbeb09f9d8e610af10dd26128aba427"},"schema_version":"1.0"},"canonical_sha256":"27c16cdeade803786f5194575ee760b72645d4a7bddbd08e292af67d314c53e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:21:02.146449Z","signature_b64":"WHMMTEardbcXQaAaeZ1JhJ/5cLyzXO+D7r4Ghxro1lS/JUcQQALmZhpCuYYfimHyrg5T8gUEMai6FXcTTZfMAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27c16cdeade803786f5194575ee760b72645d4a7bddbd08e292af67d314c53e8","last_reissued_at":"2026-07-05T10:21:02.145971Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:21:02.145971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.06680","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":"2026-07-05T10:21:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mq1FcIbtmYzhkqz8sonGFK5P51J9UdPEx2aNTvDrBSpHivgWmFob+pqhZnavrEiQsKYku/Eb0ZkoKNV4BcTvAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T13:47:57.347544Z"},"content_sha256":"2080a2cc3406a355f7452a2ca7b633d3064a06e3fc38c6e741c01a5657f74de6","schema_version":"1.0","event_id":"sha256:2080a2cc3406a355f7452a2ca7b633d3064a06e3fc38c6e741c01a5657f74de6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:E7AWZXVN5ABXQ32RSRLV5Z3AW4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cheston Tan, Haidi Azaman, Palaash Agrawal","submitted_at":"2023-09-13T02:35:59Z","abstract_excerpt":"Understanding relations between objects is crucial for understanding the semantics of a visual scene. It is also an essential step in order to bridge visual and language models. However, current state-of-the-art computer vision models still lack the ability to perform spatial reasoning well. Existing datasets mostly cover a relatively small number of spatial relations, all of which are static relations that do not intrinsically involve motion. In this paper, we propose the Spatial and Temporal Understanding of Prepositions Dataset (STUPD) -- a large-scale video dataset for understanding static"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.06680","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/2309.06680/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":"2026-07-05T10:21:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KwbnX/QnWSMZcsHXShhrXiF+9iknaqdbstPmMjnyV6FaDIRWIX7ujrvWG4FMzHqkzFjaELdNAPBX4XESd9ksDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T13:47:57.348179Z"},"content_sha256":"9868bb24a47f3dfc209779e2b560a8197ac59d31fe691a139e77017c19be38b2","schema_version":"1.0","event_id":"sha256:9868bb24a47f3dfc209779e2b560a8197ac59d31fe691a139e77017c19be38b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E7AWZXVN5ABXQ32RSRLV5Z3AW4/bundle.json","state_url":"https://pith.science/pith/E7AWZXVN5ABXQ32RSRLV5Z3AW4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E7AWZXVN5ABXQ32RSRLV5Z3AW4/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":"2026-08-21T13:47:57Z","links":{"resolver":"https://pith.science/pith/E7AWZXVN5ABXQ32RSRLV5Z3AW4","bundle":"https://pith.science/pith/E7AWZXVN5ABXQ32RSRLV5Z3AW4/bundle.json","state":"https://pith.science/pith/E7AWZXVN5ABXQ32RSRLV5Z3AW4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E7AWZXVN5ABXQ32RSRLV5Z3AW4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:E7AWZXVN5ABXQ32RSRLV5Z3AW4","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":"40137e4db26efc28f9d0c25ba785dfba7cbeb09f9d8e610af10dd26128aba427","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-13T02:35:59Z","title_canon_sha256":"412a143c35cd686d10d6f8ea7e0e0d966f503a206da044ef7bfc046ebdc5d90a"},"schema_version":"1.0","source":{"id":"2309.06680","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.06680","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"arxiv_version","alias_value":"2309.06680v3","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.06680","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"pith_short_12","alias_value":"E7AWZXVN5ABX","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"pith_short_16","alias_value":"E7AWZXVN5ABXQ32R","created_at":"2026-07-05T10:21:02Z"},{"alias_kind":"pith_short_8","alias_value":"E7AWZXVN","created_at":"2026-07-05T10:21:02Z"}],"graph_snapshots":[{"event_id":"sha256:9868bb24a47f3dfc209779e2b560a8197ac59d31fe691a139e77017c19be38b2","target":"graph","created_at":"2026-07-05T10:21:02Z","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/2309.06680/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding relations between objects is crucial for understanding the semantics of a visual scene. It is also an essential step in order to bridge visual and language models. However, current state-of-the-art computer vision models still lack the ability to perform spatial reasoning well. Existing datasets mostly cover a relatively small number of spatial relations, all of which are static relations that do not intrinsically involve motion. In this paper, we propose the Spatial and Temporal Understanding of Prepositions Dataset (STUPD) -- a large-scale video dataset for understanding static","authors_text":"Cheston Tan, Haidi Azaman, Palaash Agrawal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-13T02:35:59Z","title":"STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.06680","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":"sha256:2080a2cc3406a355f7452a2ca7b633d3064a06e3fc38c6e741c01a5657f74de6","target":"record","created_at":"2026-07-05T10:21:02Z","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":"40137e4db26efc28f9d0c25ba785dfba7cbeb09f9d8e610af10dd26128aba427","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-13T02:35:59Z","title_canon_sha256":"412a143c35cd686d10d6f8ea7e0e0d966f503a206da044ef7bfc046ebdc5d90a"},"schema_version":"1.0","source":{"id":"2309.06680","kind":"arxiv","version":3}},"canonical_sha256":"27c16cdeade803786f5194575ee760b72645d4a7bddbd08e292af67d314c53e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27c16cdeade803786f5194575ee760b72645d4a7bddbd08e292af67d314c53e8","first_computed_at":"2026-07-05T10:21:02.145971Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:21:02.145971Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WHMMTEardbcXQaAaeZ1JhJ/5cLyzXO+D7r4Ghxro1lS/JUcQQALmZhpCuYYfimHyrg5T8gUEMai6FXcTTZfMAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:21:02.146449Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.06680","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2080a2cc3406a355f7452a2ca7b633d3064a06e3fc38c6e741c01a5657f74de6","sha256:9868bb24a47f3dfc209779e2b560a8197ac59d31fe691a139e77017c19be38b2"],"state_sha256":"b614ece3218a7b2dcd8cab661fee2f5831d2c58077d6967c208b6e9e643d9897"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SLeVDpoW+Izopn7W1D8md4QiA//WvbAWcAnTolpByIFVK7zozGLuKk+Pi7afsv4JJysnoycrvFffwkf4KyAaDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T13:47:57.353217Z","bundle_sha256":"d63c8b6db757a9ad101ecb9277f58657d6b695eec2ef7d5f74ba8d6721d009d2"}}