{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:AEV7DS6R3HT35W7VLTKW2UED2O","short_pith_number":"pith:AEV7DS6R","canonical_record":{"source":{"id":"2606.04875","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2026-06-03T13:38:31Z","cross_cats_sorted":["astro-ph.EP","astro-ph.SR","physics.data-an","stat.ME"],"title_canon_sha256":"dfbc94220153a37902782bafcdc7d86e8126863f3fea606e24bedc167895ec6d","abstract_canon_sha256":"5a4b06ff771dc98fe32e21d475e8bf520d4f83b0a69ad95c734092c308da7eff"},"schema_version":"1.0"},"canonical_sha256":"012bf1cbd1d9e7bedbf55cd56d5083d3b64177caf616f03de1259cbc7f656a0b","source":{"kind":"arxiv","id":"2606.04875","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04875","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04875v1","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04875","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"pith_short_12","alias_value":"AEV7DS6R3HT3","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"pith_short_16","alias_value":"AEV7DS6R3HT35W7V","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"pith_short_8","alias_value":"AEV7DS6R","created_at":"2026-06-04T01:09:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:AEV7DS6R3HT35W7VLTKW2UED2O","target":"record","payload":{"canonical_record":{"source":{"id":"2606.04875","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2026-06-03T13:38:31Z","cross_cats_sorted":["astro-ph.EP","astro-ph.SR","physics.data-an","stat.ME"],"title_canon_sha256":"dfbc94220153a37902782bafcdc7d86e8126863f3fea606e24bedc167895ec6d","abstract_canon_sha256":"5a4b06ff771dc98fe32e21d475e8bf520d4f83b0a69ad95c734092c308da7eff"},"schema_version":"1.0"},"canonical_sha256":"012bf1cbd1d9e7bedbf55cd56d5083d3b64177caf616f03de1259cbc7f656a0b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:52.810269Z","signature_b64":"I1WAMO/YBKARkewRGs9Mq0UsK1mHQZqazjjJvK9AYCeW5s2HfzRjbWp0WEIMhOHbIhwpsWMbkWyBrS27k+zBCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"012bf1cbd1d9e7bedbf55cd56d5083d3b64177caf616f03de1259cbc7f656a0b","last_reissued_at":"2026-06-04T01:09:52.809476Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:52.809476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.04875","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":"2026-06-04T01:09:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RvWCexCtLJco5p1QDjFhcgswgEPqOcXoBFuadMV+8nmy04R7hfAyHwmx1NYsL/ZpLGbPwRi5ZSdHjcjSwFnGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T16:47:05.842623Z"},"content_sha256":"b69e636df432e4e6f280a746cd147388f44b30d4ea7b1214b8a7aab7a9ad3232","schema_version":"1.0","event_id":"sha256:b69e636df432e4e6f280a746cd147388f44b30d4ea7b1214b8a7aab7a9ad3232"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:AEV7DS6R3HT35W7VLTKW2UED2O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Model Selection Criterion for Multidimensional Gaussian Processes: Application to Radial Velocities","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.EP","astro-ph.SR","physics.data-an","stat.ME"],"primary_cat":"astro-ph.IM","authors_text":"Barrag\\'an Oscar","submitted_at":"2026-06-03T13:38:31Z","abstract_excerpt":"Multidimensional Gaussian Process (multi-GP) regression is widely used to disentangle stellar and planetary signals in radial velocities (RVs) by jointly modelling ancillary activity indicators. However, identifying the combination of indicators that best constrains the stellar signal in the RVs is non-trivial, as classical model comparison methods are not directly applicable when multi-GPs involve different time series combinations. In this work, we present an information criterion to compare multi-GP models based on their ability to explain the RV component, $\\mathrm{MGIC}_{\\rm rv}$. This me"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04875","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/2606.04875/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":"2026-06-04T01:09:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MWKlLHxQ739h/dW57f1gOsy0wljGURP+XdLOj8o9nNJcHBsUZA+WHPeqikPtpz0Q73O3a/gLCTtRMrNk8DmyBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T16:47:05.842995Z"},"content_sha256":"74757a0053e6a427e27bbafb472a40bd2c63161b068dbe8871d799522382772b","schema_version":"1.0","event_id":"sha256:74757a0053e6a427e27bbafb472a40bd2c63161b068dbe8871d799522382772b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AEV7DS6R3HT35W7VLTKW2UED2O/bundle.json","state_url":"https://pith.science/pith/AEV7DS6R3HT35W7VLTKW2UED2O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AEV7DS6R3HT35W7VLTKW2UED2O/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":"2026-06-28T16:47:05Z","links":{"resolver":"https://pith.science/pith/AEV7DS6R3HT35W7VLTKW2UED2O","bundle":"https://pith.science/pith/AEV7DS6R3HT35W7VLTKW2UED2O/bundle.json","state":"https://pith.science/pith/AEV7DS6R3HT35W7VLTKW2UED2O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AEV7DS6R3HT35W7VLTKW2UED2O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:AEV7DS6R3HT35W7VLTKW2UED2O","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":"5a4b06ff771dc98fe32e21d475e8bf520d4f83b0a69ad95c734092c308da7eff","cross_cats_sorted":["astro-ph.EP","astro-ph.SR","physics.data-an","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2026-06-03T13:38:31Z","title_canon_sha256":"dfbc94220153a37902782bafcdc7d86e8126863f3fea606e24bedc167895ec6d"},"schema_version":"1.0","source":{"id":"2606.04875","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04875","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04875v1","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04875","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"pith_short_12","alias_value":"AEV7DS6R3HT3","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"pith_short_16","alias_value":"AEV7DS6R3HT35W7V","created_at":"2026-06-04T01:09:52Z"},{"alias_kind":"pith_short_8","alias_value":"AEV7DS6R","created_at":"2026-06-04T01:09:52Z"}],"graph_snapshots":[{"event_id":"sha256:74757a0053e6a427e27bbafb472a40bd2c63161b068dbe8871d799522382772b","target":"graph","created_at":"2026-06-04T01:09:52Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.04875/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multidimensional Gaussian Process (multi-GP) regression is widely used to disentangle stellar and planetary signals in radial velocities (RVs) by jointly modelling ancillary activity indicators. However, identifying the combination of indicators that best constrains the stellar signal in the RVs is non-trivial, as classical model comparison methods are not directly applicable when multi-GPs involve different time series combinations. In this work, we present an information criterion to compare multi-GP models based on their ability to explain the RV component, $\\mathrm{MGIC}_{\\rm rv}$. This me","authors_text":"Barrag\\'an Oscar","cross_cats":["astro-ph.EP","astro-ph.SR","physics.data-an","stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2026-06-03T13:38:31Z","title":"A Model Selection Criterion for Multidimensional Gaussian Processes: Application to Radial Velocities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04875","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:b69e636df432e4e6f280a746cd147388f44b30d4ea7b1214b8a7aab7a9ad3232","target":"record","created_at":"2026-06-04T01:09:52Z","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":"5a4b06ff771dc98fe32e21d475e8bf520d4f83b0a69ad95c734092c308da7eff","cross_cats_sorted":["astro-ph.EP","astro-ph.SR","physics.data-an","stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2026-06-03T13:38:31Z","title_canon_sha256":"dfbc94220153a37902782bafcdc7d86e8126863f3fea606e24bedc167895ec6d"},"schema_version":"1.0","source":{"id":"2606.04875","kind":"arxiv","version":1}},"canonical_sha256":"012bf1cbd1d9e7bedbf55cd56d5083d3b64177caf616f03de1259cbc7f656a0b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"012bf1cbd1d9e7bedbf55cd56d5083d3b64177caf616f03de1259cbc7f656a0b","first_computed_at":"2026-06-04T01:09:52.809476Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T01:09:52.809476Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I1WAMO/YBKARkewRGs9Mq0UsK1mHQZqazjjJvK9AYCeW5s2HfzRjbWp0WEIMhOHbIhwpsWMbkWyBrS27k+zBCQ==","signature_status":"signed_v1","signed_at":"2026-06-04T01:09:52.810269Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.04875","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b69e636df432e4e6f280a746cd147388f44b30d4ea7b1214b8a7aab7a9ad3232","sha256:74757a0053e6a427e27bbafb472a40bd2c63161b068dbe8871d799522382772b"],"state_sha256":"8b4e752b3a09e494debc87a31d1543c09f5d881bdd699d364342e32bb9b83c9a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r7sPf+eZ5ORUjH12SKqWyDYAmYAky2LZBuzb511EYv2amiFV0mt2AffEqxpLXm2oOsHONVQdEdg65R6JVOUECQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T16:47:05.845034Z","bundle_sha256":"896f09efd675ddb8a074b9f222b1b03441f3385e95c36c830894a8ae8992a836"}}