{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:H4X53Q2JFIN5NN2NWBADH2REJ2","short_pith_number":"pith:H4X53Q2J","canonical_record":{"source":{"id":"1602.06977","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-02-22T21:44:05Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"0916169765f1d290914cf045220f9feb7e94d982e60cd3df0b575251e7edf407","abstract_canon_sha256":"c48d8dad431d4e1abf07a037dd3ca76befbd07c28455c8a073a8457c23819951"},"schema_version":"1.0"},"canonical_sha256":"3f2fddc3492a1bd6b74db04033ea244e8876320a90b9e24cf56cc55971c8f0ae","source":{"kind":"arxiv","id":"1602.06977","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.06977","created_at":"2026-05-18T01:20:00Z"},{"alias_kind":"arxiv_version","alias_value":"1602.06977v2","created_at":"2026-05-18T01:20:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.06977","created_at":"2026-05-18T01:20:00Z"},{"alias_kind":"pith_short_12","alias_value":"H4X53Q2JFIN5","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"H4X53Q2JFIN5NN2N","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"H4X53Q2J","created_at":"2026-05-18T12:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:H4X53Q2JFIN5NN2NWBADH2REJ2","target":"record","payload":{"canonical_record":{"source":{"id":"1602.06977","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-02-22T21:44:05Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"0916169765f1d290914cf045220f9feb7e94d982e60cd3df0b575251e7edf407","abstract_canon_sha256":"c48d8dad431d4e1abf07a037dd3ca76befbd07c28455c8a073a8457c23819951"},"schema_version":"1.0"},"canonical_sha256":"3f2fddc3492a1bd6b74db04033ea244e8876320a90b9e24cf56cc55971c8f0ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:20:00.784955Z","signature_b64":"SV+xx37o+56nydK5x4SavIBaR7iEFC9MrRE4UPKzsTDx7eWjFVcDhNlUH01fs2N4DWJWksnZ7gguUdwubuZSBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f2fddc3492a1bd6b74db04033ea244e8876320a90b9e24cf56cc55971c8f0ae","last_reissued_at":"2026-05-18T01:20:00.784251Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:20:00.784251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.06977","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:20:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H4ek8452ly8CoVJdaQQa3BPw79TsT3PyzkUTpmFi02AiU/ejp9TS5DNwwVhLO9x8yaDxXMjhEMYejYlbgXw9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T23:06:07.597327Z"},"content_sha256":"aaa1057eba69b7e6385a760ada83416f18bfde5adb56fc023752ee26c86872f3","schema_version":"1.0","event_id":"sha256:aaa1057eba69b7e6385a760ada83416f18bfde5adb56fc023752ee26c86872f3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:H4X53Q2JFIN5NN2NWBADH2REJ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Augur: Mining Human Behaviors from Fiction to Power Interactive Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.HC","authors_text":"Ethan Fast, Michael Bernstein, Pranav Rajpurkar, William McGrath","submitted_at":"2016-02-22T21:44:05Z","abstract_excerpt":"From smart homes that prepare coffee when we wake, to phones that know not to interrupt us during important conversations, our collective visions of HCI imagine a future in which computers understand a broad range of human behaviors. Today our systems fall short of these visions, however, because this range of behaviors is too large for designers or programmers to capture manually. In this paper, we instead demonstrate it is possible to mine a broad knowledge base of human behavior by analyzing more than one billion words of modern fiction. Our resulting knowledge base, Augur, trains vector mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.06977","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T01:20:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ewN0ud5ycZYtjVefvx3MQB/lf0zcTwDK0vXTv3Vsg9cutE6piWg08FIZsA9frqvwQGeZFvY4KP7eLJyfRo/QAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T23:06:07.598125Z"},"content_sha256":"7c9af68715f65d733a7920e43c617f4b107c192bb920179cbc3d6978bd1e45e5","schema_version":"1.0","event_id":"sha256:7c9af68715f65d733a7920e43c617f4b107c192bb920179cbc3d6978bd1e45e5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H4X53Q2JFIN5NN2NWBADH2REJ2/bundle.json","state_url":"https://pith.science/pith/H4X53Q2JFIN5NN2NWBADH2REJ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H4X53Q2JFIN5NN2NWBADH2REJ2/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":"2026-05-31T23:06:07Z","links":{"resolver":"https://pith.science/pith/H4X53Q2JFIN5NN2NWBADH2REJ2","bundle":"https://pith.science/pith/H4X53Q2JFIN5NN2NWBADH2REJ2/bundle.json","state":"https://pith.science/pith/H4X53Q2JFIN5NN2NWBADH2REJ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H4X53Q2JFIN5NN2NWBADH2REJ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:H4X53Q2JFIN5NN2NWBADH2REJ2","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":"c48d8dad431d4e1abf07a037dd3ca76befbd07c28455c8a073a8457c23819951","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-02-22T21:44:05Z","title_canon_sha256":"0916169765f1d290914cf045220f9feb7e94d982e60cd3df0b575251e7edf407"},"schema_version":"1.0","source":{"id":"1602.06977","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.06977","created_at":"2026-05-18T01:20:00Z"},{"alias_kind":"arxiv_version","alias_value":"1602.06977v2","created_at":"2026-05-18T01:20:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.06977","created_at":"2026-05-18T01:20:00Z"},{"alias_kind":"pith_short_12","alias_value":"H4X53Q2JFIN5","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"H4X53Q2JFIN5NN2N","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"H4X53Q2J","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:7c9af68715f65d733a7920e43c617f4b107c192bb920179cbc3d6978bd1e45e5","target":"graph","created_at":"2026-05-18T01:20:00Z","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"},"paper":{"abstract_excerpt":"From smart homes that prepare coffee when we wake, to phones that know not to interrupt us during important conversations, our collective visions of HCI imagine a future in which computers understand a broad range of human behaviors. Today our systems fall short of these visions, however, because this range of behaviors is too large for designers or programmers to capture manually. In this paper, we instead demonstrate it is possible to mine a broad knowledge base of human behavior by analyzing more than one billion words of modern fiction. Our resulting knowledge base, Augur, trains vector mo","authors_text":"Ethan Fast, Michael Bernstein, Pranav Rajpurkar, William McGrath","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-02-22T21:44:05Z","title":"Augur: Mining Human Behaviors from Fiction to Power Interactive Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.06977","kind":"arxiv","version":2},"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:aaa1057eba69b7e6385a760ada83416f18bfde5adb56fc023752ee26c86872f3","target":"record","created_at":"2026-05-18T01:20:00Z","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":"c48d8dad431d4e1abf07a037dd3ca76befbd07c28455c8a073a8457c23819951","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-02-22T21:44:05Z","title_canon_sha256":"0916169765f1d290914cf045220f9feb7e94d982e60cd3df0b575251e7edf407"},"schema_version":"1.0","source":{"id":"1602.06977","kind":"arxiv","version":2}},"canonical_sha256":"3f2fddc3492a1bd6b74db04033ea244e8876320a90b9e24cf56cc55971c8f0ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f2fddc3492a1bd6b74db04033ea244e8876320a90b9e24cf56cc55971c8f0ae","first_computed_at":"2026-05-18T01:20:00.784251Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:20:00.784251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SV+xx37o+56nydK5x4SavIBaR7iEFC9MrRE4UPKzsTDx7eWjFVcDhNlUH01fs2N4DWJWksnZ7gguUdwubuZSBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:20:00.784955Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.06977","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aaa1057eba69b7e6385a760ada83416f18bfde5adb56fc023752ee26c86872f3","sha256:7c9af68715f65d733a7920e43c617f4b107c192bb920179cbc3d6978bd1e45e5"],"state_sha256":"0d4aa4bfd99c3c2fbb9fc6c791e5c7a862a50b60dd77bc464e3c69f36bf0f332"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OtkC+cQQU0xx2xlUuOGL5UxeySU8HWIR3DXZZJurFdxG+rnpKYLN7J1rD3PfG5/tGpCo6mYLxtPYEl8pTUt1CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T23:06:07.602106Z","bundle_sha256":"de3c0a0a53a47edd26cda9a76741a16ce8fee8b9368f898508ac25304b12b0bc"}}