{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:UKVVCSU6U4LLVVE6DJBTNLHPZD","short_pith_number":"pith:UKVVCSU6","schema_version":"1.0","canonical_sha256":"a2ab514a9ea716bad49e1a4336acefc8d78ccfbcc6a21582b82aba99e6a5694d","source":{"kind":"arxiv","id":"2407.01455","version":1},"attestation_state":"computed","paper":{"title":"TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-Mind","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Guiyang Hou, Linjuan Wu, Weiming Lu, Wenqi Zhang, Yongliang Shen","submitted_at":"2024-07-01T16:50:49Z","abstract_excerpt":"Theory of Mind (ToM)-the cognitive ability to reason about mental states of ourselves and others, is the foundation of social interaction. Although ToM comes naturally to humans, it poses a significant challenge to even the most advanced Large Language Models (LLMs). Due to the complex logical chains in ToM reasoning, especially in higher-order ToM questions, simply utilizing reasoning methods like Chain of Thought (CoT) will not improve the ToM capabilities of LLMs. We present TimeToM, which constructs a temporal space and uses it as the foundation to improve the ToM capabilities of LLMs in m"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2407.01455","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-01T16:50:49Z","cross_cats_sorted":[],"title_canon_sha256":"935b663840e92df427576ca55b97069ba0a4d6ee725db3e1ad131c6e34c911e2","abstract_canon_sha256":"2d77af239ff0265750fc8ec01a5c06cbc942d8e20b25347f2f2a695c7a68046f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:38:48.272944Z","signature_b64":"o9tszwswxr0puevhb3OsLtAN6tCSv31wYzfOP7UYhRLQP8ZLo9kIV8LxjNxC41qEOwnTwwE18qm/tw2oshfXCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2ab514a9ea716bad49e1a4336acefc8d78ccfbcc6a21582b82aba99e6a5694d","last_reissued_at":"2026-07-05T08:38:48.272494Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:38:48.272494Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-Mind","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Guiyang Hou, Linjuan Wu, Weiming Lu, Wenqi Zhang, Yongliang Shen","submitted_at":"2024-07-01T16:50:49Z","abstract_excerpt":"Theory of Mind (ToM)-the cognitive ability to reason about mental states of ourselves and others, is the foundation of social interaction. Although ToM comes naturally to humans, it poses a significant challenge to even the most advanced Large Language Models (LLMs). Due to the complex logical chains in ToM reasoning, especially in higher-order ToM questions, simply utilizing reasoning methods like Chain of Thought (CoT) will not improve the ToM capabilities of LLMs. We present TimeToM, which constructs a temporal space and uses it as the foundation to improve the ToM capabilities of LLMs in m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01455","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/2407.01455/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2407.01455","created_at":"2026-07-05T08:38:48.272551+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.01455v1","created_at":"2026-07-05T08:38:48.272551+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01455","created_at":"2026-07-05T08:38:48.272551+00:00"},{"alias_kind":"pith_short_12","alias_value":"UKVVCSU6U4LL","created_at":"2026-07-05T08:38:48.272551+00:00"},{"alias_kind":"pith_short_16","alias_value":"UKVVCSU6U4LLVVE6","created_at":"2026-07-05T08:38:48.272551+00:00"},{"alias_kind":"pith_short_8","alias_value":"UKVVCSU6","created_at":"2026-07-05T08:38:48.272551+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD","json":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD.json","graph_json":"https://pith.science/api/pith-number/UKVVCSU6U4LLVVE6DJBTNLHPZD/graph.json","events_json":"https://pith.science/api/pith-number/UKVVCSU6U4LLVVE6DJBTNLHPZD/events.json","paper":"https://pith.science/paper/UKVVCSU6"},"agent_actions":{"view_html":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD","download_json":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD.json","view_paper":"https://pith.science/paper/UKVVCSU6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.01455&json=true","fetch_graph":"https://pith.science/api/pith-number/UKVVCSU6U4LLVVE6DJBTNLHPZD/graph.json","fetch_events":"https://pith.science/api/pith-number/UKVVCSU6U4LLVVE6DJBTNLHPZD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD/action/storage_attestation","attest_author":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD/action/author_attestation","sign_citation":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD/action/citation_signature","submit_replication":"https://pith.science/pith/UKVVCSU6U4LLVVE6DJBTNLHPZD/action/replication_record"}},"created_at":"2026-07-05T08:38:48.272551+00:00","updated_at":"2026-07-05T08:38:48.272551+00:00"}