{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:US7MY676SAF2IDKTTZYJJ5HPIF","short_pith_number":"pith:US7MY676","canonical_record":{"source":{"id":"1406.3296","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-06-12T17:38:06Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"7ae07f8d0e776279bf40844736fb93f3bbee5186ae756aeeb9e0add3615cff5d","abstract_canon_sha256":"3d8f14a86039dedb160784370bce809a389c7382c466cd8cc7a900cba60c5f6a"},"schema_version":"1.0"},"canonical_sha256":"a4becc7bfe900ba40d539e7094f4ef417f9b44b010dd1324e735b908c244056c","source":{"kind":"arxiv","id":"1406.3296","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.3296","created_at":"2026-05-18T02:49:52Z"},{"alias_kind":"arxiv_version","alias_value":"1406.3296v1","created_at":"2026-05-18T02:49:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.3296","created_at":"2026-05-18T02:49:52Z"},{"alias_kind":"pith_short_12","alias_value":"US7MY676SAF2","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"US7MY676SAF2IDKT","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"US7MY676","created_at":"2026-05-18T12:28:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:US7MY676SAF2IDKTTZYJJ5HPIF","target":"record","payload":{"canonical_record":{"source":{"id":"1406.3296","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-06-12T17:38:06Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"7ae07f8d0e776279bf40844736fb93f3bbee5186ae756aeeb9e0add3615cff5d","abstract_canon_sha256":"3d8f14a86039dedb160784370bce809a389c7382c466cd8cc7a900cba60c5f6a"},"schema_version":"1.0"},"canonical_sha256":"a4becc7bfe900ba40d539e7094f4ef417f9b44b010dd1324e735b908c244056c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:49:52.664807Z","signature_b64":"f6DBLdhp5IP0SXCD/dFuMcGPHeaeZ3qWYnqKLQhW0SEsfJp8xgXKCrmBsh9ujqcwnxcjM1vnaQBHG7DnXBRMCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4becc7bfe900ba40d539e7094f4ef417f9b44b010dd1324e735b908c244056c","last_reissued_at":"2026-05-18T02:49:52.664223Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:49:52.664223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1406.3296","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":"2026-05-18T02:49:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lX0thbTmpbeCa0IzAAPHbCaUP1h4dhaNmcrq9XJ+jNs3+0ayHexzukbzRDgsCv/72VD2ruR0WGTrjQJ4VSnWDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T18:29:53.101682Z"},"content_sha256":"957eda329b3d9560609ca3171c83b7ffd5df32ef45039546f5ed0263df163435","schema_version":"1.0","event_id":"sha256:957eda329b3d9560609ca3171c83b7ffd5df32ef45039546f5ed0263df163435"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:US7MY676SAF2IDKTTZYJJ5HPIF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Information Value Function for Nonparametric Gaussian Processes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Hongchuan Wei, Silvia Ferrari, Wenjie Lu","submitted_at":"2014-06-12T17:38:06Z","abstract_excerpt":"This paper presents a novel information value function that can be used in online sensor planning to monitor a spatial phenomenon in which the spatial phenomenon is modeled by nonparametric Gaussian processes. The information value function is derived from the Kullback-Leibler (KL) divergence and represents the information value brought by sensor decision. The sensor decision at every time step is to select the sensing location that maximizes the information value function associated with the measurement taken. Gaussian processes (GPs) are employed to obtain the posterior distribution of the s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.3296","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":"2026-05-18T02:49:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GNCmaeI/JaE1KUnKbiMNNjN4zGoijP23Hw7Xz2kI7IT5euJsgLIZzzCjaDkojUJ43gaK7al+Bm+PyaRavdY/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T18:29:53.102067Z"},"content_sha256":"205ac843992c1b4640cc620cc22f3ed5447e85419b74507e6b6f18de05ed5ee4","schema_version":"1.0","event_id":"sha256:205ac843992c1b4640cc620cc22f3ed5447e85419b74507e6b6f18de05ed5ee4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/US7MY676SAF2IDKTTZYJJ5HPIF/bundle.json","state_url":"https://pith.science/pith/US7MY676SAF2IDKTTZYJJ5HPIF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/US7MY676SAF2IDKTTZYJJ5HPIF/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":"2026-06-10T18:29:53Z","links":{"resolver":"https://pith.science/pith/US7MY676SAF2IDKTTZYJJ5HPIF","bundle":"https://pith.science/pith/US7MY676SAF2IDKTTZYJJ5HPIF/bundle.json","state":"https://pith.science/pith/US7MY676SAF2IDKTTZYJJ5HPIF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/US7MY676SAF2IDKTTZYJJ5HPIF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:US7MY676SAF2IDKTTZYJJ5HPIF","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":"3d8f14a86039dedb160784370bce809a389c7382c466cd8cc7a900cba60c5f6a","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-06-12T17:38:06Z","title_canon_sha256":"7ae07f8d0e776279bf40844736fb93f3bbee5186ae756aeeb9e0add3615cff5d"},"schema_version":"1.0","source":{"id":"1406.3296","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1406.3296","created_at":"2026-05-18T02:49:52Z"},{"alias_kind":"arxiv_version","alias_value":"1406.3296v1","created_at":"2026-05-18T02:49:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1406.3296","created_at":"2026-05-18T02:49:52Z"},{"alias_kind":"pith_short_12","alias_value":"US7MY676SAF2","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_16","alias_value":"US7MY676SAF2IDKT","created_at":"2026-05-18T12:28:52Z"},{"alias_kind":"pith_short_8","alias_value":"US7MY676","created_at":"2026-05-18T12:28:52Z"}],"graph_snapshots":[{"event_id":"sha256:205ac843992c1b4640cc620cc22f3ed5447e85419b74507e6b6f18de05ed5ee4","target":"graph","created_at":"2026-05-18T02:49:52Z","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":"This paper presents a novel information value function that can be used in online sensor planning to monitor a spatial phenomenon in which the spatial phenomenon is modeled by nonparametric Gaussian processes. The information value function is derived from the Kullback-Leibler (KL) divergence and represents the information value brought by sensor decision. The sensor decision at every time step is to select the sensing location that maximizes the information value function associated with the measurement taken. Gaussian processes (GPs) are employed to obtain the posterior distribution of the s","authors_text":"Hongchuan Wei, Silvia Ferrari, Wenjie Lu","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-06-12T17:38:06Z","title":"An Information Value Function for Nonparametric Gaussian Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1406.3296","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":"sha256:957eda329b3d9560609ca3171c83b7ffd5df32ef45039546f5ed0263df163435","target":"record","created_at":"2026-05-18T02:49:52Z","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":"3d8f14a86039dedb160784370bce809a389c7382c466cd8cc7a900cba60c5f6a","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-06-12T17:38:06Z","title_canon_sha256":"7ae07f8d0e776279bf40844736fb93f3bbee5186ae756aeeb9e0add3615cff5d"},"schema_version":"1.0","source":{"id":"1406.3296","kind":"arxiv","version":1}},"canonical_sha256":"a4becc7bfe900ba40d539e7094f4ef417f9b44b010dd1324e735b908c244056c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4becc7bfe900ba40d539e7094f4ef417f9b44b010dd1324e735b908c244056c","first_computed_at":"2026-05-18T02:49:52.664223Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:49:52.664223Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f6DBLdhp5IP0SXCD/dFuMcGPHeaeZ3qWYnqKLQhW0SEsfJp8xgXKCrmBsh9ujqcwnxcjM1vnaQBHG7DnXBRMCw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:49:52.664807Z","signed_message":"canonical_sha256_bytes"},"source_id":"1406.3296","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:957eda329b3d9560609ca3171c83b7ffd5df32ef45039546f5ed0263df163435","sha256:205ac843992c1b4640cc620cc22f3ed5447e85419b74507e6b6f18de05ed5ee4"],"state_sha256":"afb6a2618b2ea3bbb9f14c9d4c2a06ee87d1d6650c1463ae7d20b7459b01e760"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uSJYe9N34v6NKMAaSTwfBwtncSMgzIae15NMrFx7UtsWumuLRfkMJTRLUGog0MK+LESEDXn20bDPneaBaQc4DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T18:29:53.104119Z","bundle_sha256":"85e2ed36851f9adb78eaa72e39b58f96b2f19c7ac694b161c021b95b7a75b684"}}