{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KIIR4L2PL5ORIQ2KUC23TQ3WXQ","short_pith_number":"pith:KIIR4L2P","canonical_record":{"source":{"id":"2507.14088","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-18T17:13:21Z","cross_cats_sorted":[],"title_canon_sha256":"631b14bf1daed722a24bd32d1d9885cc8346a2ecfef239f1fc23abca1116b6fd","abstract_canon_sha256":"f7bd6230e907968c6469acf67d87f4434e79f03bcb771dd72e7f71fcf7f33826"},"schema_version":"1.0"},"canonical_sha256":"52111e2f4f5f5d14434aa0b5b9c376bc23d08eb45f3bbc0e3509c05784b22219","source":{"kind":"arxiv","id":"2507.14088","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14088","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14088v1","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14088","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"pith_short_12","alias_value":"KIIR4L2PL5OR","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"pith_short_16","alias_value":"KIIR4L2PL5ORIQ2K","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"pith_short_8","alias_value":"KIIR4L2P","created_at":"2026-07-05T11:39:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KIIR4L2PL5ORIQ2KUC23TQ3WXQ","target":"record","payload":{"canonical_record":{"source":{"id":"2507.14088","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-18T17:13:21Z","cross_cats_sorted":[],"title_canon_sha256":"631b14bf1daed722a24bd32d1d9885cc8346a2ecfef239f1fc23abca1116b6fd","abstract_canon_sha256":"f7bd6230e907968c6469acf67d87f4434e79f03bcb771dd72e7f71fcf7f33826"},"schema_version":"1.0"},"canonical_sha256":"52111e2f4f5f5d14434aa0b5b9c376bc23d08eb45f3bbc0e3509c05784b22219","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:39:28.560158Z","signature_b64":"AAhIk4Q80qFOPffkK29tMNfQjQT8z36lo7qrLkM+CjZxMKWXBkwCtWNPs/fI9TWiDZCSkohFsIBGgKsVpkFuBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"52111e2f4f5f5d14434aa0b5b9c376bc23d08eb45f3bbc0e3509c05784b22219","last_reissued_at":"2026-07-05T11:39:28.559591Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:39:28.559591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.14088","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":"2026-07-05T11:39:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kNATXfrBTQ8Y/ken1+DZTwt3HWBTX5xOOW7LQ53viP9or+ggNwP6uUs8AhhNAT2aBvt6TsyfdX/eBBL7gmYKCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T16:48:02.183116Z"},"content_sha256":"d72f527d4f2bdf31e943e29f4d66d1958ab7af357be3389c1230f40bf7514953","schema_version":"1.0","event_id":"sha256:d72f527d4f2bdf31e943e29f4d66d1958ab7af357be3389c1230f40bf7514953"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KIIR4L2PL5ORIQ2KUC23TQ3WXQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bo Xu, Runpeng Xie, Shuang Xu, Xiyun Li, Yining Ding, Yiqin Yang, Yuanhua Ni, Yuhua Jiang, Yunlong Zhao","submitted_at":"2025-07-18T17:13:21Z","abstract_excerpt":"Real-time human-artificial intelligence (AI) collaboration is crucial yet challenging, especially when AI agents must adapt to diverse and unseen human behaviors in dynamic scenarios. Existing large language model (LLM) agents often fail to accurately model the complex human mental characteristics such as domain intentions, especially in the absence of direct communication. To address this limitation, we propose a novel dual process multi-scale theory of mind (DPMT) framework, drawing inspiration from cognitive science dual process theory. Our DPMT framework incorporates a multi-scale theory o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14088","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/2507.14088/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":"2026-07-05T11:39:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aO0hfdQipMJIezb7MbpC4Ql/xy1SpG8Dal7foUOyTLp/JQX83xnWUFTQiyiI8ci3sinfdNVVM3XGb0i4eCSuBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T16:48:02.183494Z"},"content_sha256":"2813e80d242abeb90eaab35564b60cd4849254b783d4f31be753dc65e7e7ee07","schema_version":"1.0","event_id":"sha256:2813e80d242abeb90eaab35564b60cd4849254b783d4f31be753dc65e7e7ee07"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KIIR4L2PL5ORIQ2KUC23TQ3WXQ/bundle.json","state_url":"https://pith.science/pith/KIIR4L2PL5ORIQ2KUC23TQ3WXQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KIIR4L2PL5ORIQ2KUC23TQ3WXQ/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":"2026-07-13T16:48:02Z","links":{"resolver":"https://pith.science/pith/KIIR4L2PL5ORIQ2KUC23TQ3WXQ","bundle":"https://pith.science/pith/KIIR4L2PL5ORIQ2KUC23TQ3WXQ/bundle.json","state":"https://pith.science/pith/KIIR4L2PL5ORIQ2KUC23TQ3WXQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KIIR4L2PL5ORIQ2KUC23TQ3WXQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KIIR4L2PL5ORIQ2KUC23TQ3WXQ","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":"f7bd6230e907968c6469acf67d87f4434e79f03bcb771dd72e7f71fcf7f33826","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-18T17:13:21Z","title_canon_sha256":"631b14bf1daed722a24bd32d1d9885cc8346a2ecfef239f1fc23abca1116b6fd"},"schema_version":"1.0","source":{"id":"2507.14088","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.14088","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"arxiv_version","alias_value":"2507.14088v1","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.14088","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"pith_short_12","alias_value":"KIIR4L2PL5OR","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"pith_short_16","alias_value":"KIIR4L2PL5ORIQ2K","created_at":"2026-07-05T11:39:28Z"},{"alias_kind":"pith_short_8","alias_value":"KIIR4L2P","created_at":"2026-07-05T11:39:28Z"}],"graph_snapshots":[{"event_id":"sha256:2813e80d242abeb90eaab35564b60cd4849254b783d4f31be753dc65e7e7ee07","target":"graph","created_at":"2026-07-05T11:39:28Z","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/2507.14088/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-time human-artificial intelligence (AI) collaboration is crucial yet challenging, especially when AI agents must adapt to diverse and unseen human behaviors in dynamic scenarios. Existing large language model (LLM) agents often fail to accurately model the complex human mental characteristics such as domain intentions, especially in the absence of direct communication. To address this limitation, we propose a novel dual process multi-scale theory of mind (DPMT) framework, drawing inspiration from cognitive science dual process theory. Our DPMT framework incorporates a multi-scale theory o","authors_text":"Bo Xu, Runpeng Xie, Shuang Xu, Xiyun Li, Yining Ding, Yiqin Yang, Yuanhua Ni, Yuhua Jiang, Yunlong Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-18T17:13:21Z","title":"DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.14088","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:d72f527d4f2bdf31e943e29f4d66d1958ab7af357be3389c1230f40bf7514953","target":"record","created_at":"2026-07-05T11:39:28Z","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":"f7bd6230e907968c6469acf67d87f4434e79f03bcb771dd72e7f71fcf7f33826","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-07-18T17:13:21Z","title_canon_sha256":"631b14bf1daed722a24bd32d1d9885cc8346a2ecfef239f1fc23abca1116b6fd"},"schema_version":"1.0","source":{"id":"2507.14088","kind":"arxiv","version":1}},"canonical_sha256":"52111e2f4f5f5d14434aa0b5b9c376bc23d08eb45f3bbc0e3509c05784b22219","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"52111e2f4f5f5d14434aa0b5b9c376bc23d08eb45f3bbc0e3509c05784b22219","first_computed_at":"2026-07-05T11:39:28.559591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:28.559591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AAhIk4Q80qFOPffkK29tMNfQjQT8z36lo7qrLkM+CjZxMKWXBkwCtWNPs/fI9TWiDZCSkohFsIBGgKsVpkFuBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:28.560158Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.14088","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d72f527d4f2bdf31e943e29f4d66d1958ab7af357be3389c1230f40bf7514953","sha256:2813e80d242abeb90eaab35564b60cd4849254b783d4f31be753dc65e7e7ee07"],"state_sha256":"9464d4c7398dcdfd347804cdc474252c6c47bfea88cf4b0695ddf11f5ce5a9b0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ILeRE1xWJ4J5lQW27IHVgvkIDMaO70LSZlkzw+ASClqrEAVzGOlHKb3kaZFKjYo246qoGkyxGjG6opgCQlZqCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T16:48:02.185558Z","bundle_sha256":"a3c393558c8a8be8cfc16a912f766ccafd69ecbb3f91143d728cab5cf48e169e"}}