{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ZD7QBKJOFNYL2HKDMIRL77TA6W","short_pith_number":"pith:ZD7QBKJO","canonical_record":{"source":{"id":"2606.11482","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2026-06-09T22:15:51Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"241883caa435de2433837a3c18e07f3b22ec53f9a303cfe0c94f83250a0dffb0","abstract_canon_sha256":"cb6fd49b18f506e32e31158f494f2ee397d89e58ef6897f91982a1b73a61ae3e"},"schema_version":"1.0"},"canonical_sha256":"c8ff00a92e2b70bd1d436222bffe60f5a6315c83be84b7894dd166648331a7f9","source":{"kind":"arxiv","id":"2606.11482","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11482","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11482v1","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11482","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"pith_short_12","alias_value":"ZD7QBKJOFNYL","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"pith_short_16","alias_value":"ZD7QBKJOFNYL2HKD","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"pith_short_8","alias_value":"ZD7QBKJO","created_at":"2026-06-11T01:09:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ZD7QBKJOFNYL2HKDMIRL77TA6W","target":"record","payload":{"canonical_record":{"source":{"id":"2606.11482","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2026-06-09T22:15:51Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"241883caa435de2433837a3c18e07f3b22ec53f9a303cfe0c94f83250a0dffb0","abstract_canon_sha256":"cb6fd49b18f506e32e31158f494f2ee397d89e58ef6897f91982a1b73a61ae3e"},"schema_version":"1.0"},"canonical_sha256":"c8ff00a92e2b70bd1d436222bffe60f5a6315c83be84b7894dd166648331a7f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:09:51.426048Z","signature_b64":"6Id8wHuQMN+121UNt8NodYY8uTrM8XPzrpjye5s1tyZ3IekaFH0Y0fca4fbg8/LGwa9Grer1bWLdE3MEgZnNBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c8ff00a92e2b70bd1d436222bffe60f5a6315c83be84b7894dd166648331a7f9","last_reissued_at":"2026-06-11T01:09:51.425254Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:09:51.425254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.11482","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":"2026-06-11T01:09:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kFh4r1OIKOUBkAMo9uZ+12WSepOPKq9FdpApcaBHsGHJBR0600n/7r4fe1TA/jlpMOs0ub04vMWPkgdAsEYqCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T11:07:25.311637Z"},"content_sha256":"a40ba02ba6b35599880a318bedc296cd032e4349a6395de35a0b9ba7b7a9c62a","schema_version":"1.0","event_id":"sha256:a40ba02ba6b35599880a318bedc296cd032e4349a6395de35a0b9ba7b7a9c62a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ZD7QBKJOFNYL2HKDMIRL77TA6W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Building Social World Models with Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.SI","authors_text":"Guanyu Lin, Haofei Yu, Jiaxuan You, Yining Zhao","submitted_at":"2026-06-09T22:15:51Z","abstract_excerpt":"Understanding and predicting how social beliefs evolve in response to events -- from policy changes to scientific breakthroughs -- remains a fundamental challenge in social science. Given LLMs' commonsense knowledge and social intelligence, we ask: Can LLMs model the dynamics of social beliefs following social events? In this work, we introduce the concept of the Social World Model (SWM), a general framework designed to capture how social beliefs evolve in response to major events. SWM learns state-transition functions for social beliefs by mining temporal patterns in social data and optimizin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11482","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/2606.11482/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":"2026-06-11T01:09:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sf3O1NwkSKrd/54OpddY1J1mO4mHdCuQuCES4GBk1Zyq0xyUNgFcSr77nnK9etLAEXk0VcGpZevESXUIcIfOAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T11:07:25.312011Z"},"content_sha256":"b81b3fe7e9a877f4d17ad615a58b89674de23ea07fc1d81de8a8a8273c874fcf","schema_version":"1.0","event_id":"sha256:b81b3fe7e9a877f4d17ad615a58b89674de23ea07fc1d81de8a8a8273c874fcf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZD7QBKJOFNYL2HKDMIRL77TA6W/bundle.json","state_url":"https://pith.science/pith/ZD7QBKJOFNYL2HKDMIRL77TA6W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZD7QBKJOFNYL2HKDMIRL77TA6W/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":"2026-06-28T11:07:25Z","links":{"resolver":"https://pith.science/pith/ZD7QBKJOFNYL2HKDMIRL77TA6W","bundle":"https://pith.science/pith/ZD7QBKJOFNYL2HKDMIRL77TA6W/bundle.json","state":"https://pith.science/pith/ZD7QBKJOFNYL2HKDMIRL77TA6W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZD7QBKJOFNYL2HKDMIRL77TA6W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZD7QBKJOFNYL2HKDMIRL77TA6W","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":"cb6fd49b18f506e32e31158f494f2ee397d89e58ef6897f91982a1b73a61ae3e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2026-06-09T22:15:51Z","title_canon_sha256":"241883caa435de2433837a3c18e07f3b22ec53f9a303cfe0c94f83250a0dffb0"},"schema_version":"1.0","source":{"id":"2606.11482","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11482","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11482v1","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11482","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"pith_short_12","alias_value":"ZD7QBKJOFNYL","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"pith_short_16","alias_value":"ZD7QBKJOFNYL2HKD","created_at":"2026-06-11T01:09:51Z"},{"alias_kind":"pith_short_8","alias_value":"ZD7QBKJO","created_at":"2026-06-11T01:09:51Z"}],"graph_snapshots":[{"event_id":"sha256:b81b3fe7e9a877f4d17ad615a58b89674de23ea07fc1d81de8a8a8273c874fcf","target":"graph","created_at":"2026-06-11T01:09:51Z","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/2606.11482/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Understanding and predicting how social beliefs evolve in response to events -- from policy changes to scientific breakthroughs -- remains a fundamental challenge in social science. Given LLMs' commonsense knowledge and social intelligence, we ask: Can LLMs model the dynamics of social beliefs following social events? In this work, we introduce the concept of the Social World Model (SWM), a general framework designed to capture how social beliefs evolve in response to major events. SWM learns state-transition functions for social beliefs by mining temporal patterns in social data and optimizin","authors_text":"Guanyu Lin, Haofei Yu, Jiaxuan You, Yining Zhao","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2026-06-09T22:15:51Z","title":"Building Social World Models with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11482","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:a40ba02ba6b35599880a318bedc296cd032e4349a6395de35a0b9ba7b7a9c62a","target":"record","created_at":"2026-06-11T01:09:51Z","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":"cb6fd49b18f506e32e31158f494f2ee397d89e58ef6897f91982a1b73a61ae3e","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SI","submitted_at":"2026-06-09T22:15:51Z","title_canon_sha256":"241883caa435de2433837a3c18e07f3b22ec53f9a303cfe0c94f83250a0dffb0"},"schema_version":"1.0","source":{"id":"2606.11482","kind":"arxiv","version":1}},"canonical_sha256":"c8ff00a92e2b70bd1d436222bffe60f5a6315c83be84b7894dd166648331a7f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c8ff00a92e2b70bd1d436222bffe60f5a6315c83be84b7894dd166648331a7f9","first_computed_at":"2026-06-11T01:09:51.425254Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:09:51.425254Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6Id8wHuQMN+121UNt8NodYY8uTrM8XPzrpjye5s1tyZ3IekaFH0Y0fca4fbg8/LGwa9Grer1bWLdE3MEgZnNBw==","signature_status":"signed_v1","signed_at":"2026-06-11T01:09:51.426048Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11482","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a40ba02ba6b35599880a318bedc296cd032e4349a6395de35a0b9ba7b7a9c62a","sha256:b81b3fe7e9a877f4d17ad615a58b89674de23ea07fc1d81de8a8a8273c874fcf"],"state_sha256":"9cfb6feeb6f9fc8681f5bfcae6bf0a5e14d4959a45f865baa34428537236ad77"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gm6HblRy3l3LIYzpLfkUlXFfyXViwrsrlt4GLTzHKSWpOo8kzOzf1piP2PPrgiT6CuyMbW9BQ0oQ704OXvlHDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T11:07:25.313963Z","bundle_sha256":"f9169952ce7907a6e66b88e7baa5b7ef72c794ce1e2b38f58019e14fb4566b94"}}