{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SE46FZAFLM6LMQMC3GFJXOEZ55","short_pith_number":"pith:SE46FZAF","canonical_record":{"source":{"id":"2503.15516","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-31T22:10:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ae344fa66d07655d0d283782b829902c791b81f853fc08dc82984c9ae8072d11","abstract_canon_sha256":"38b42107c4f6d0a8f7e07fe5e127b1192d7364439f7d7a94876d941b793e3d47"},"schema_version":"1.0"},"canonical_sha256":"9139e2e4055b3cb64182d98a9bb899ef5a5bb70fa3e77c963c949b8792feabab","source":{"kind":"arxiv","id":"2503.15516","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15516","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15516v1","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15516","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"pith_short_12","alias_value":"SE46FZAFLM6L","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"pith_short_16","alias_value":"SE46FZAFLM6LMQMC","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"pith_short_8","alias_value":"SE46FZAF","created_at":"2026-07-05T10:35:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SE46FZAFLM6LMQMC3GFJXOEZ55","target":"record","payload":{"canonical_record":{"source":{"id":"2503.15516","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-31T22:10:37Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ae344fa66d07655d0d283782b829902c791b81f853fc08dc82984c9ae8072d11","abstract_canon_sha256":"38b42107c4f6d0a8f7e07fe5e127b1192d7364439f7d7a94876d941b793e3d47"},"schema_version":"1.0"},"canonical_sha256":"9139e2e4055b3cb64182d98a9bb899ef5a5bb70fa3e77c963c949b8792feabab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:35:51.890712Z","signature_b64":"1jKn9M866Iiin4QTbfcQu4dC4NBUjC1u7Vt5y3QyZ2iX98WRd3hTMCl44U3gTayROzwGhAb7sGURo6LFdSjgAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9139e2e4055b3cb64182d98a9bb899ef5a5bb70fa3e77c963c949b8792feabab","last_reissued_at":"2026-07-05T10:35:51.890209Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:35:51.890209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.15516","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":"2026-07-05T10:35:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nwcRu7aHuttHZ/G5TYsZTy5sVmlPISHsGCYaupjl8PvztFZ1uhp9h4mDTrbUKNi/6e40JKQ07Rzjd+6Vx0zXDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:18:53.570210Z"},"content_sha256":"2d5cb548311b81f124cc7aa1abce90d3bf347c232434b4b65d34a617d3287872","schema_version":"1.0","event_id":"sha256:2d5cb548311b81f124cc7aa1abce90d3bf347c232434b4b65d34a617d3287872"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SE46FZAFLM6LMQMC3GFJXOEZ55","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"In Pursuit of Predictive Models of Human Preferences Toward AI Teammates","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"Ho Chit Siu, Jaime D. Pe\\~na, Ross E. Allen, Yutai Zhou","submitted_at":"2025-01-31T22:10:37Z","abstract_excerpt":"We seek measurable properties of AI agents that make them better or worse teammates from the subjective perspective of human collaborators. Our experiments use the cooperative card game Hanabi -- a common benchmark for AI-teaming research. We first evaluate AI agents on a set of objective metrics based on task performance, information theory, and game theory, which are measurable without human interaction. Next, we evaluate subjective human preferences toward AI teammates in a large-scale (N=241) human-AI teaming experiment. Finally, we correlate the AI-only objective metrics with the human su"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15516","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/2503.15516/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":"2026-07-05T10:35:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5Hp6qdsDvt3mokbfiFaM+62fKSYYOgjJFT6UtsXImXOU4TaPbH7wxud8oHwpI1Nh1NF5q5olylK09s1PQDHuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:18:53.570900Z"},"content_sha256":"9d54f18d6ea440ba0bbeb20a9415ee09b2379810a0adab5a09ccaf859a65946d","schema_version":"1.0","event_id":"sha256:9d54f18d6ea440ba0bbeb20a9415ee09b2379810a0adab5a09ccaf859a65946d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SE46FZAFLM6LMQMC3GFJXOEZ55/bundle.json","state_url":"https://pith.science/pith/SE46FZAFLM6LMQMC3GFJXOEZ55/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SE46FZAFLM6LMQMC3GFJXOEZ55/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":"2026-08-11T08:18:53Z","links":{"resolver":"https://pith.science/pith/SE46FZAFLM6LMQMC3GFJXOEZ55","bundle":"https://pith.science/pith/SE46FZAFLM6LMQMC3GFJXOEZ55/bundle.json","state":"https://pith.science/pith/SE46FZAFLM6LMQMC3GFJXOEZ55/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SE46FZAFLM6LMQMC3GFJXOEZ55/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SE46FZAFLM6LMQMC3GFJXOEZ55","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":"38b42107c4f6d0a8f7e07fe5e127b1192d7364439f7d7a94876d941b793e3d47","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-31T22:10:37Z","title_canon_sha256":"ae344fa66d07655d0d283782b829902c791b81f853fc08dc82984c9ae8072d11"},"schema_version":"1.0","source":{"id":"2503.15516","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.15516","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"arxiv_version","alias_value":"2503.15516v1","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.15516","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"pith_short_12","alias_value":"SE46FZAFLM6L","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"pith_short_16","alias_value":"SE46FZAFLM6LMQMC","created_at":"2026-07-05T10:35:51Z"},{"alias_kind":"pith_short_8","alias_value":"SE46FZAF","created_at":"2026-07-05T10:35:51Z"}],"graph_snapshots":[{"event_id":"sha256:9d54f18d6ea440ba0bbeb20a9415ee09b2379810a0adab5a09ccaf859a65946d","target":"graph","created_at":"2026-07-05T10:35:51Z","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/2503.15516/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We seek measurable properties of AI agents that make them better or worse teammates from the subjective perspective of human collaborators. Our experiments use the cooperative card game Hanabi -- a common benchmark for AI-teaming research. We first evaluate AI agents on a set of objective metrics based on task performance, information theory, and game theory, which are measurable without human interaction. Next, we evaluate subjective human preferences toward AI teammates in a large-scale (N=241) human-AI teaming experiment. Finally, we correlate the AI-only objective metrics with the human su","authors_text":"Ho Chit Siu, Jaime D. Pe\\~na, Ross E. Allen, Yutai Zhou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-31T22:10:37Z","title":"In Pursuit of Predictive Models of Human Preferences Toward AI Teammates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.15516","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":"sha256:2d5cb548311b81f124cc7aa1abce90d3bf347c232434b4b65d34a617d3287872","target":"record","created_at":"2026-07-05T10:35:51Z","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":"38b42107c4f6d0a8f7e07fe5e127b1192d7364439f7d7a94876d941b793e3d47","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-31T22:10:37Z","title_canon_sha256":"ae344fa66d07655d0d283782b829902c791b81f853fc08dc82984c9ae8072d11"},"schema_version":"1.0","source":{"id":"2503.15516","kind":"arxiv","version":1}},"canonical_sha256":"9139e2e4055b3cb64182d98a9bb899ef5a5bb70fa3e77c963c949b8792feabab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9139e2e4055b3cb64182d98a9bb899ef5a5bb70fa3e77c963c949b8792feabab","first_computed_at":"2026-07-05T10:35:51.890209Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:35:51.890209Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1jKn9M866Iiin4QTbfcQu4dC4NBUjC1u7Vt5y3QyZ2iX98WRd3hTMCl44U3gTayROzwGhAb7sGURo6LFdSjgAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:35:51.890712Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.15516","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d5cb548311b81f124cc7aa1abce90d3bf347c232434b4b65d34a617d3287872","sha256:9d54f18d6ea440ba0bbeb20a9415ee09b2379810a0adab5a09ccaf859a65946d"],"state_sha256":"bbd0ae63fd905b2d2c4f680c9742ea345512f7b3e23a4f3c9cbc6153d26b7692"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FQZO0n4Y549VNmfGnxl9ayTKRYlLylbLc7Of9XF1fLRQnUJWjZbBweL+Xkc6alGKNAYDr4CNP9dFFgfRq072Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T08:18:53.576990Z","bundle_sha256":"5ab8316dc90ec16338cef7018682400fd4d06bb3b6332a241db8eb267f5f6e61"}}