{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SN3IV6MMOIANIGJZ3FOYGE3XOA","short_pith_number":"pith:SN3IV6MM","canonical_record":{"source":{"id":"2310.09076","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2023-10-13T12:52:36Z","cross_cats_sorted":[],"title_canon_sha256":"d4600d9695f19271264c102e71d7d52016dee392b2c4ce2981606afad10fe679","abstract_canon_sha256":"2a615b8abf1a6e054adb416af3dcfeff97ac76c19fd0bcc714d5fedeb6948998"},"schema_version":"1.0"},"canonical_sha256":"93768af98c7200d41939d95d8313777037575cf92c544bfd3435bb0847d398bb","source":{"kind":"arxiv","id":"2310.09076","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.09076","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"arxiv_version","alias_value":"2310.09076v3","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09076","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"pith_short_12","alias_value":"SN3IV6MMOIAN","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"pith_short_16","alias_value":"SN3IV6MMOIANIGJZ","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"pith_short_8","alias_value":"SN3IV6MM","created_at":"2026-07-05T07:01:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SN3IV6MMOIANIGJZ3FOYGE3XOA","target":"record","payload":{"canonical_record":{"source":{"id":"2310.09076","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2023-10-13T12:52:36Z","cross_cats_sorted":[],"title_canon_sha256":"d4600d9695f19271264c102e71d7d52016dee392b2c4ce2981606afad10fe679","abstract_canon_sha256":"2a615b8abf1a6e054adb416af3dcfeff97ac76c19fd0bcc714d5fedeb6948998"},"schema_version":"1.0"},"canonical_sha256":"93768af98c7200d41939d95d8313777037575cf92c544bfd3435bb0847d398bb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:01:47.898941Z","signature_b64":"x1iyq67VtYGvCfTNS3uDnbhkCSmTbISwtWuhf26GYzHat36aweB3qeI8UGASriROtJ/HKDPYv5hBsHiDXcpCCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93768af98c7200d41939d95d8313777037575cf92c544bfd3435bb0847d398bb","last_reissued_at":"2026-07-05T07:01:47.898563Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:01:47.898563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.09076","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:01:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5kLxSASHkG4PBvnHtnAytKwzEvuQyZxSbdcBTBACzTMxGaFJ7/aKyEMMrJdxeQT3gINUdeiAruU7wlyr5Sh4AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:38:23.707421Z"},"content_sha256":"42c15f9bcf78f65ffd9ff4053647effaef153a33a7998426918c6225de3db2b3","schema_version":"1.0","event_id":"sha256:42c15f9bcf78f65ffd9ff4053647effaef153a33a7998426918c6225de3db2b3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SN3IV6MMOIANIGJZ3FOYGE3XOA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Methods for Averaging Spectral Line Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"B. Liu, Dana S. Balser, Dylan J. Linville, L. D. Anderson, L. M. Haffner, Matteo Luisi, T. M. Bania, Trey V. Wenger","submitted_at":"2023-10-13T12:52:36Z","abstract_excerpt":"The ideal spectral averaging method depends on one's science goals and the available information about one's data. Including low-quality data in the average can decrease the signal-to-noise ratio (SNR), which may necessitate an optimization method or a consideration of different weighting schemes. Here, we explore a variety of spectral averaging methods. We investigate the use of three weighting schemes during averaging: weighting by the signal divided by the variance (\"intensity-noise weighting\"), weighting by the inverse of the variance (\"noise weighting\"), and uniform weighting. Whereas for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09076","kind":"arxiv","version":3},"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/2310.09076/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":"2026-07-05T07:01:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9/32LWZOUHxPW08Vfl/4/VehYXIb/q7hKM1OOzwu6uqfpAwxCnvw6y3OavPO9Fw6/wZgTq1FRfqNzmN+bB9BBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T18:38:23.708008Z"},"content_sha256":"9c4f43a5f9d64f2bf110d41e1531507526091753cdc7f10990580c86436fccf8","schema_version":"1.0","event_id":"sha256:9c4f43a5f9d64f2bf110d41e1531507526091753cdc7f10990580c86436fccf8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SN3IV6MMOIANIGJZ3FOYGE3XOA/bundle.json","state_url":"https://pith.science/pith/SN3IV6MMOIANIGJZ3FOYGE3XOA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SN3IV6MMOIANIGJZ3FOYGE3XOA/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":"2026-08-03T18:38:23Z","links":{"resolver":"https://pith.science/pith/SN3IV6MMOIANIGJZ3FOYGE3XOA","bundle":"https://pith.science/pith/SN3IV6MMOIANIGJZ3FOYGE3XOA/bundle.json","state":"https://pith.science/pith/SN3IV6MMOIANIGJZ3FOYGE3XOA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SN3IV6MMOIANIGJZ3FOYGE3XOA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SN3IV6MMOIANIGJZ3FOYGE3XOA","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":"2a615b8abf1a6e054adb416af3dcfeff97ac76c19fd0bcc714d5fedeb6948998","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2023-10-13T12:52:36Z","title_canon_sha256":"d4600d9695f19271264c102e71d7d52016dee392b2c4ce2981606afad10fe679"},"schema_version":"1.0","source":{"id":"2310.09076","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.09076","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"arxiv_version","alias_value":"2310.09076v3","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09076","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"pith_short_12","alias_value":"SN3IV6MMOIAN","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"pith_short_16","alias_value":"SN3IV6MMOIANIGJZ","created_at":"2026-07-05T07:01:47Z"},{"alias_kind":"pith_short_8","alias_value":"SN3IV6MM","created_at":"2026-07-05T07:01:47Z"}],"graph_snapshots":[{"event_id":"sha256:9c4f43a5f9d64f2bf110d41e1531507526091753cdc7f10990580c86436fccf8","target":"graph","created_at":"2026-07-05T07:01:47Z","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/2310.09076/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ideal spectral averaging method depends on one's science goals and the available information about one's data. Including low-quality data in the average can decrease the signal-to-noise ratio (SNR), which may necessitate an optimization method or a consideration of different weighting schemes. Here, we explore a variety of spectral averaging methods. We investigate the use of three weighting schemes during averaging: weighting by the signal divided by the variance (\"intensity-noise weighting\"), weighting by the inverse of the variance (\"noise weighting\"), and uniform weighting. Whereas for","authors_text":"B. Liu, Dana S. Balser, Dylan J. Linville, L. D. Anderson, L. M. Haffner, Matteo Luisi, T. M. Bania, Trey V. Wenger","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2023-10-13T12:52:36Z","title":"Methods for Averaging Spectral Line Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09076","kind":"arxiv","version":3},"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":"sha256:42c15f9bcf78f65ffd9ff4053647effaef153a33a7998426918c6225de3db2b3","target":"record","created_at":"2026-07-05T07:01:47Z","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":"2a615b8abf1a6e054adb416af3dcfeff97ac76c19fd0bcc714d5fedeb6948998","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2023-10-13T12:52:36Z","title_canon_sha256":"d4600d9695f19271264c102e71d7d52016dee392b2c4ce2981606afad10fe679"},"schema_version":"1.0","source":{"id":"2310.09076","kind":"arxiv","version":3}},"canonical_sha256":"93768af98c7200d41939d95d8313777037575cf92c544bfd3435bb0847d398bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93768af98c7200d41939d95d8313777037575cf92c544bfd3435bb0847d398bb","first_computed_at":"2026-07-05T07:01:47.898563Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:47.898563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x1iyq67VtYGvCfTNS3uDnbhkCSmTbISwtWuhf26GYzHat36aweB3qeI8UGASriROtJ/HKDPYv5hBsHiDXcpCCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:47.898941Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.09076","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42c15f9bcf78f65ffd9ff4053647effaef153a33a7998426918c6225de3db2b3","sha256:9c4f43a5f9d64f2bf110d41e1531507526091753cdc7f10990580c86436fccf8"],"state_sha256":"6d597c1dcd058c6bf00b8107150aa6175cb1a804fec1fca2db62f38f230b0e36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NcisMdLdh8SvI3ZcaTR9S1GEUlNx8rDquLnRHfpy/kc9MvBvoemnpumTKDnF1OsllWttSjChmhQD5K55WKQADA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T18:38:23.712379Z","bundle_sha256":"fcfb64fe25215de4871311ecd2c0d0fa0e907c6cdbc0ac8370c16eb7b4c3aab8"}}