{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:IZLW6TRTRKRLFABACQNRNRG6IB","short_pith_number":"pith:IZLW6TRT","canonical_record":{"source":{"id":"2606.08274","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-06T17:40:21Z","cross_cats_sorted":[],"title_canon_sha256":"dd3c52ab93f7823675478a624bb0ac3a95a2439b0dbb56ff60ca1dceaef4399b","abstract_canon_sha256":"dd87b4744eb6bdbbdcd42fb884ae971e3ba118bceb9fe6d40712aed4efa2ca5d"},"schema_version":"1.0"},"canonical_sha256":"46576f4e338aa2b28020141b16c4de406f7a4a1331724a35b76bbc4cb7f798f4","source":{"kind":"arxiv","id":"2606.08274","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.08274","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2606.08274v1","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08274","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"IZLW6TRTRKRL","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"IZLW6TRTRKRLFABA","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"IZLW6TRT","created_at":"2026-06-09T01:05:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:IZLW6TRTRKRLFABACQNRNRG6IB","target":"record","payload":{"canonical_record":{"source":{"id":"2606.08274","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-06T17:40:21Z","cross_cats_sorted":[],"title_canon_sha256":"dd3c52ab93f7823675478a624bb0ac3a95a2439b0dbb56ff60ca1dceaef4399b","abstract_canon_sha256":"dd87b4744eb6bdbbdcd42fb884ae971e3ba118bceb9fe6d40712aed4efa2ca5d"},"schema_version":"1.0"},"canonical_sha256":"46576f4e338aa2b28020141b16c4de406f7a4a1331724a35b76bbc4cb7f798f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:31.957029Z","signature_b64":"Py3y2iOLVR8fx23+8+zZ/RjIwo72vgrQwMwNXfsgsOPINsjhnX+I9AdN6vyDxUAAJVAdqzDgtjVTX5GiLIa7BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46576f4e338aa2b28020141b16c4de406f7a4a1331724a35b76bbc4cb7f798f4","last_reissued_at":"2026-06-09T01:05:31.956630Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:31.956630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.08274","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":"2026-06-09T01:05:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ZyvGfNVx9hBhSBbswFyKY7IOiNcnNvAK3e1N4ErYHqMTIG0KWbdV1qKz26So+lC4eFGSkF1tkydQ9Sx3LZMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T21:10:21.845353Z"},"content_sha256":"e6b2f7a84b47e3705401058393446bdd0b29dc530f6d36ec333d4e2877c1233c","schema_version":"1.0","event_id":"sha256:e6b2f7a84b47e3705401058393446bdd0b29dc530f6d36ec333d4e2877c1233c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:IZLW6TRTRKRLFABACQNRNRG6IB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Toward Human-Centered Multi-Agent Systems: Integrating Cognition, Culture, Values, and Cooperation in AI Agents","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MA","authors_text":"Rahemeen Khan, Safia Baloch","submitted_at":"2026-06-06T17:40:21Z","abstract_excerpt":"The emergence of large language model (LLM)-based agents and multi-agent systems has enabled a shift from narrow task automation to more autonomous decision-making. Despite progress in language generation, planning, tool use, and coordination, most agents still treat intelligence as prediction, optimization, and task completion. Human environments are social and normative, where people reason under bounded rationality, communicate in culturally situated language, and make decisions guided by values, beliefs, trust, and social norms. This survey argues that future AI agents, especially those ac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08274","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/2606.08274/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":"2026-06-09T01:05:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iNBHUraxk+O1lV9xcw/22HLjb5gzw9y+jV0GUfWkAgTv9WaYT/KK73tiv6gpKx951GIQXUDfd1s2+H80Q8AyBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T21:10:21.845743Z"},"content_sha256":"94ce36f125a64cd8353ee42dacbc60a0754b1bf18cfea7c86b2e4841f8053e56","schema_version":"1.0","event_id":"sha256:94ce36f125a64cd8353ee42dacbc60a0754b1bf18cfea7c86b2e4841f8053e56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IZLW6TRTRKRLFABACQNRNRG6IB/bundle.json","state_url":"https://pith.science/pith/IZLW6TRTRKRLFABACQNRNRG6IB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IZLW6TRTRKRLFABACQNRNRG6IB/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":"2026-07-03T21:10:21Z","links":{"resolver":"https://pith.science/pith/IZLW6TRTRKRLFABACQNRNRG6IB","bundle":"https://pith.science/pith/IZLW6TRTRKRLFABACQNRNRG6IB/bundle.json","state":"https://pith.science/pith/IZLW6TRTRKRLFABACQNRNRG6IB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IZLW6TRTRKRLFABACQNRNRG6IB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IZLW6TRTRKRLFABACQNRNRG6IB","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":"dd87b4744eb6bdbbdcd42fb884ae971e3ba118bceb9fe6d40712aed4efa2ca5d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-06T17:40:21Z","title_canon_sha256":"dd3c52ab93f7823675478a624bb0ac3a95a2439b0dbb56ff60ca1dceaef4399b"},"schema_version":"1.0","source":{"id":"2606.08274","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.08274","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"arxiv_version","alias_value":"2606.08274v1","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08274","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"pith_short_12","alias_value":"IZLW6TRTRKRL","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"pith_short_16","alias_value":"IZLW6TRTRKRLFABA","created_at":"2026-06-09T01:05:31Z"},{"alias_kind":"pith_short_8","alias_value":"IZLW6TRT","created_at":"2026-06-09T01:05:31Z"}],"graph_snapshots":[{"event_id":"sha256:94ce36f125a64cd8353ee42dacbc60a0754b1bf18cfea7c86b2e4841f8053e56","target":"graph","created_at":"2026-06-09T01:05:31Z","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/2606.08274/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of large language model (LLM)-based agents and multi-agent systems has enabled a shift from narrow task automation to more autonomous decision-making. Despite progress in language generation, planning, tool use, and coordination, most agents still treat intelligence as prediction, optimization, and task completion. Human environments are social and normative, where people reason under bounded rationality, communicate in culturally situated language, and make decisions guided by values, beliefs, trust, and social norms. This survey argues that future AI agents, especially those ac","authors_text":"Rahemeen Khan, Safia Baloch","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-06T17:40:21Z","title":"Toward Human-Centered Multi-Agent Systems: Integrating Cognition, Culture, Values, and Cooperation in AI Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08274","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:e6b2f7a84b47e3705401058393446bdd0b29dc530f6d36ec333d4e2877c1233c","target":"record","created_at":"2026-06-09T01:05:31Z","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":"dd87b4744eb6bdbbdcd42fb884ae971e3ba118bceb9fe6d40712aed4efa2ca5d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2026-06-06T17:40:21Z","title_canon_sha256":"dd3c52ab93f7823675478a624bb0ac3a95a2439b0dbb56ff60ca1dceaef4399b"},"schema_version":"1.0","source":{"id":"2606.08274","kind":"arxiv","version":1}},"canonical_sha256":"46576f4e338aa2b28020141b16c4de406f7a4a1331724a35b76bbc4cb7f798f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46576f4e338aa2b28020141b16c4de406f7a4a1331724a35b76bbc4cb7f798f4","first_computed_at":"2026-06-09T01:05:31.956630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:31.956630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Py3y2iOLVR8fx23+8+zZ/RjIwo72vgrQwMwNXfsgsOPINsjhnX+I9AdN6vyDxUAAJVAdqzDgtjVTX5GiLIa7BA==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:31.957029Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.08274","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6b2f7a84b47e3705401058393446bdd0b29dc530f6d36ec333d4e2877c1233c","sha256:94ce36f125a64cd8353ee42dacbc60a0754b1bf18cfea7c86b2e4841f8053e56"],"state_sha256":"33be6c504cc67cfd31bb5c1077fb96245fe2f0cd60afb247506290b008d9e5f2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MTCB9xfG3o9MEJRmAnL3rFt1efknePrPsDw2ibdlxXCFFmbW5nRKPhbo6i81VyfLGWbGQVNt4Oif8Doa9p44Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T21:10:21.847665Z","bundle_sha256":"96729888e1f4d0ad03f8d154f7681a65726de22b0f0d416d4572d7dad76467b4"}}