{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:AYLT3S4PJLMXR2WCKZYUGOX752","short_pith_number":"pith:AYLT3S4P","canonical_record":{"source":{"id":"1512.07592","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2015-12-23T19:14:38Z","cross_cats_sorted":[],"title_canon_sha256":"eb68239a3358097931fe7d5f1e787a2339ba9ca30eaa4d8337571a2198548486","abstract_canon_sha256":"4180f81e3b871a8256dc380bb0caacf5201fff709a0986638aa1f89cb33e54b9"},"schema_version":"1.0"},"canonical_sha256":"06173dcb8f4ad978eac25671433affee9ce8265338480f71add69b2567eea12a","source":{"kind":"arxiv","id":"1512.07592","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.07592","created_at":"2026-05-18T01:23:49Z"},{"alias_kind":"arxiv_version","alias_value":"1512.07592v1","created_at":"2026-05-18T01:23:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.07592","created_at":"2026-05-18T01:23:49Z"},{"alias_kind":"pith_short_12","alias_value":"AYLT3S4PJLMX","created_at":"2026-05-18T12:29:14Z"},{"alias_kind":"pith_short_16","alias_value":"AYLT3S4PJLMXR2WC","created_at":"2026-05-18T12:29:14Z"},{"alias_kind":"pith_short_8","alias_value":"AYLT3S4P","created_at":"2026-05-18T12:29:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:AYLT3S4PJLMXR2WCKZYUGOX752","target":"record","payload":{"canonical_record":{"source":{"id":"1512.07592","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2015-12-23T19:14:38Z","cross_cats_sorted":[],"title_canon_sha256":"eb68239a3358097931fe7d5f1e787a2339ba9ca30eaa4d8337571a2198548486","abstract_canon_sha256":"4180f81e3b871a8256dc380bb0caacf5201fff709a0986638aa1f89cb33e54b9"},"schema_version":"1.0"},"canonical_sha256":"06173dcb8f4ad978eac25671433affee9ce8265338480f71add69b2567eea12a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:23:49.301844Z","signature_b64":"JWnUtO99qUPAlWCHAYDo6WvXsKyIKXkHhFh6VpYvMdZXIjGt0BpemW56ddzZrYCSqiM7e/yuGDD7BqolUz9SAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"06173dcb8f4ad978eac25671433affee9ce8265338480f71add69b2567eea12a","last_reissued_at":"2026-05-18T01:23:49.301157Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:23:49.301157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.07592","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":"2026-05-18T01:23:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bD/ukdmmAkNr9X9/a0kY+voqfzxh9WgtGM4X638dbG7II9REpysXLaC/Fhas+oZImIkj/9E3lIj6rwJyXHyGAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T09:49:36.074389Z"},"content_sha256":"15270f63cc6bf7fa7ee74654599c08ae415689975070b5416de50c9ea6b77ca3","schema_version":"1.0","event_id":"sha256:15270f63cc6bf7fa7ee74654599c08ae415689975070b5416de50c9ea6b77ca3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:AYLT3S4PJLMXR2WCKZYUGOX752","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Kin Gwn Lore, Kundan Kumar, Nicholas Sweet, Nisar Ahmed, Soumik Sarkar","submitted_at":"2015-12-23T19:14:38Z","abstract_excerpt":"Effective human-machine collaboration can significantly improve many learning and planning strategies for information gathering via fusion of 'hard' and 'soft' data originating from machine and human sensors, respectively. However, gathering the most informative data from human sensors without task overloading remains a critical technical challenge. In this context, Value of Information (VOI) is a crucial decision-theoretic metric for scheduling interaction with human sensors. We present a new Deep Learning based VOI estimation framework that can be used to schedule collaborative human-machine"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.07592","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":""},"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":"2026-05-18T01:23:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ZE+aSWIhkaMZBP485emgidK+vR7i1Mn+HlM0wC9mfDanYjlFq+UkzoxiT/xt+XbXY5hLINUABJcyveJjS6rBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T09:49:36.074751Z"},"content_sha256":"8d4960a6388fd745b6938cd785f41b136b5434a4a7ad553fa5aae5fccaaed79f","schema_version":"1.0","event_id":"sha256:8d4960a6388fd745b6938cd785f41b136b5434a4a7ad553fa5aae5fccaaed79f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AYLT3S4PJLMXR2WCKZYUGOX752/bundle.json","state_url":"https://pith.science/pith/AYLT3S4PJLMXR2WCKZYUGOX752/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AYLT3S4PJLMXR2WCKZYUGOX752/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":"2026-06-30T09:49:36Z","links":{"resolver":"https://pith.science/pith/AYLT3S4PJLMXR2WCKZYUGOX752","bundle":"https://pith.science/pith/AYLT3S4PJLMXR2WCKZYUGOX752/bundle.json","state":"https://pith.science/pith/AYLT3S4PJLMXR2WCKZYUGOX752/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AYLT3S4PJLMXR2WCKZYUGOX752/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:AYLT3S4PJLMXR2WCKZYUGOX752","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":"4180f81e3b871a8256dc380bb0caacf5201fff709a0986638aa1f89cb33e54b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2015-12-23T19:14:38Z","title_canon_sha256":"eb68239a3358097931fe7d5f1e787a2339ba9ca30eaa4d8337571a2198548486"},"schema_version":"1.0","source":{"id":"1512.07592","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.07592","created_at":"2026-05-18T01:23:49Z"},{"alias_kind":"arxiv_version","alias_value":"1512.07592v1","created_at":"2026-05-18T01:23:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.07592","created_at":"2026-05-18T01:23:49Z"},{"alias_kind":"pith_short_12","alias_value":"AYLT3S4PJLMX","created_at":"2026-05-18T12:29:14Z"},{"alias_kind":"pith_short_16","alias_value":"AYLT3S4PJLMXR2WC","created_at":"2026-05-18T12:29:14Z"},{"alias_kind":"pith_short_8","alias_value":"AYLT3S4P","created_at":"2026-05-18T12:29:14Z"}],"graph_snapshots":[{"event_id":"sha256:8d4960a6388fd745b6938cd785f41b136b5434a4a7ad553fa5aae5fccaaed79f","target":"graph","created_at":"2026-05-18T01:23:49Z","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":"Effective human-machine collaboration can significantly improve many learning and planning strategies for information gathering via fusion of 'hard' and 'soft' data originating from machine and human sensors, respectively. However, gathering the most informative data from human sensors without task overloading remains a critical technical challenge. In this context, Value of Information (VOI) is a crucial decision-theoretic metric for scheduling interaction with human sensors. We present a new Deep Learning based VOI estimation framework that can be used to schedule collaborative human-machine","authors_text":"Kin Gwn Lore, Kundan Kumar, Nicholas Sweet, Nisar Ahmed, Soumik Sarkar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2015-12-23T19:14:38Z","title":"Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.07592","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":"sha256:15270f63cc6bf7fa7ee74654599c08ae415689975070b5416de50c9ea6b77ca3","target":"record","created_at":"2026-05-18T01:23:49Z","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":"4180f81e3b871a8256dc380bb0caacf5201fff709a0986638aa1f89cb33e54b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2015-12-23T19:14:38Z","title_canon_sha256":"eb68239a3358097931fe7d5f1e787a2339ba9ca30eaa4d8337571a2198548486"},"schema_version":"1.0","source":{"id":"1512.07592","kind":"arxiv","version":1}},"canonical_sha256":"06173dcb8f4ad978eac25671433affee9ce8265338480f71add69b2567eea12a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"06173dcb8f4ad978eac25671433affee9ce8265338480f71add69b2567eea12a","first_computed_at":"2026-05-18T01:23:49.301157Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:23:49.301157Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JWnUtO99qUPAlWCHAYDo6WvXsKyIKXkHhFh6VpYvMdZXIjGt0BpemW56ddzZrYCSqiM7e/yuGDD7BqolUz9SAA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:23:49.301844Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.07592","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15270f63cc6bf7fa7ee74654599c08ae415689975070b5416de50c9ea6b77ca3","sha256:8d4960a6388fd745b6938cd785f41b136b5434a4a7ad553fa5aae5fccaaed79f"],"state_sha256":"cb9b7c79749383b2ee2fcefe2d62a2cde4caa8dc819a09c9a477988764084d29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R48pntVJpzZGofqnJQ3e8FeOElbD54ovBZsQjYbCb91c3SZyRzJ7+zBAvBgG5YhEYBKlb8bmRGDCoOxEgTvGDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T09:49:36.076665Z","bundle_sha256":"e3bd32969c7b822168c7e8a79efedb49a3fd1916ba22e954a556e3058ff44a51"}}