{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:WYQKT36SEXIKDSS7BTUPKPMEM3","short_pith_number":"pith:WYQKT36S","canonical_record":{"source":{"id":"1512.07596","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2015-12-23T19:25:08Z","cross_cats_sorted":[],"title_canon_sha256":"52e14bb7ba8cd814bbe68b8af92a2f97360ea99ffc903189263670e05cbb94db","abstract_canon_sha256":"e797a33e9b677cf015efffb7fef6ab25c0c4dd5c7d835a3fb4ec977c5acb9f0f"},"schema_version":"1.0"},"canonical_sha256":"b620a9efd225d0a1ca5f0ce8f53d8466d6da76f6264ba21323984b757dde5e08","source":{"kind":"arxiv","id":"1512.07596","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.07596","created_at":"2026-05-18T01:03:50Z"},{"alias_kind":"arxiv_version","alias_value":"1512.07596v1","created_at":"2026-05-18T01:03:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.07596","created_at":"2026-05-18T01:03:50Z"},{"alias_kind":"pith_short_12","alias_value":"WYQKT36SEXIK","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_16","alias_value":"WYQKT36SEXIKDSS7","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_8","alias_value":"WYQKT36S","created_at":"2026-05-18T12:29:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:WYQKT36SEXIKDSS7BTUPKPMEM3","target":"record","payload":{"canonical_record":{"source":{"id":"1512.07596","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2015-12-23T19:25:08Z","cross_cats_sorted":[],"title_canon_sha256":"52e14bb7ba8cd814bbe68b8af92a2f97360ea99ffc903189263670e05cbb94db","abstract_canon_sha256":"e797a33e9b677cf015efffb7fef6ab25c0c4dd5c7d835a3fb4ec977c5acb9f0f"},"schema_version":"1.0"},"canonical_sha256":"b620a9efd225d0a1ca5f0ce8f53d8466d6da76f6264ba21323984b757dde5e08","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:03:50.672856Z","signature_b64":"DtKDbAKVaFg4iHvE/DwRnr2rkNYmn8V1xk8rihzz0Aw6yvdMwX1f965gBjFo16OE6KqvuwfqIRUgKbdnvd6sCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b620a9efd225d0a1ca5f0ce8f53d8466d6da76f6264ba21323984b757dde5e08","last_reissued_at":"2026-05-18T01:03:50.672230Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:03:50.672230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.07596","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":"2026-05-18T01:03:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mc6hnRHW7WFumeNFsLUPJkQpET9G2Ji+uqzSxf4VkuhoRK7X1uz9rmi/vjxQPoUjvRS/aPkPLztCC3/jI7TQBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T15:56:00.280066Z"},"content_sha256":"8b83c8bfb1b6a1dcd80189db641eed546db92f2c47787fd69f3abb662311881a","schema_version":"1.0","event_id":"sha256:8b83c8bfb1b6a1dcd80189db641eed546db92f2c47787fd69f3abb662311881a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:WYQKT36SEXIKDSS7BTUPKPMEM3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.NC","authors_text":"Chad Giusti, Danielle S. Bassett, Kelvin O. Lim, Qawi K. Telesford, Zitong Zhang","submitted_at":"2015-12-23T19:25:08Z","abstract_excerpt":"Wavelet methods are widely used to decompose fMRI, EEG, or MEG signals into time series representing neurophysiological activity in fixed frequency bands. Using these time series, one can estimate frequency-band specific functional connectivity between sensors or regions of interest, and thereby construct functional brain networks that can be examined from a graph theoretic perspective. Despite their common use, however, practical guidelines for the choice of wavelet method, filter, and length have remained largely undelineated. Here, we explicitly explore the effects of wavelet method (MODWT "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.07596","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":"2026-05-18T01:03:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zMgyMgf8kEHICuu+H8m6UO9iJnpYvcfsys/+HB0crAYprSq/9D7Bwsui/lrjwlT4fgBgXTCG886T0SRPcZ7FAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T15:56:00.280421Z"},"content_sha256":"ff914c4959d5633bd777ef1c7b3012b5c641d7722b7550697829cfdff9a41f1b","schema_version":"1.0","event_id":"sha256:ff914c4959d5633bd777ef1c7b3012b5c641d7722b7550697829cfdff9a41f1b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WYQKT36SEXIKDSS7BTUPKPMEM3/bundle.json","state_url":"https://pith.science/pith/WYQKT36SEXIKDSS7BTUPKPMEM3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WYQKT36SEXIKDSS7BTUPKPMEM3/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":"2026-06-20T15:56:00Z","links":{"resolver":"https://pith.science/pith/WYQKT36SEXIKDSS7BTUPKPMEM3","bundle":"https://pith.science/pith/WYQKT36SEXIKDSS7BTUPKPMEM3/bundle.json","state":"https://pith.science/pith/WYQKT36SEXIKDSS7BTUPKPMEM3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WYQKT36SEXIKDSS7BTUPKPMEM3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:WYQKT36SEXIKDSS7BTUPKPMEM3","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":"e797a33e9b677cf015efffb7fef6ab25c0c4dd5c7d835a3fb4ec977c5acb9f0f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2015-12-23T19:25:08Z","title_canon_sha256":"52e14bb7ba8cd814bbe68b8af92a2f97360ea99ffc903189263670e05cbb94db"},"schema_version":"1.0","source":{"id":"1512.07596","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.07596","created_at":"2026-05-18T01:03:50Z"},{"alias_kind":"arxiv_version","alias_value":"1512.07596v1","created_at":"2026-05-18T01:03:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.07596","created_at":"2026-05-18T01:03:50Z"},{"alias_kind":"pith_short_12","alias_value":"WYQKT36SEXIK","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_16","alias_value":"WYQKT36SEXIKDSS7","created_at":"2026-05-18T12:29:47Z"},{"alias_kind":"pith_short_8","alias_value":"WYQKT36S","created_at":"2026-05-18T12:29:47Z"}],"graph_snapshots":[{"event_id":"sha256:ff914c4959d5633bd777ef1c7b3012b5c641d7722b7550697829cfdff9a41f1b","target":"graph","created_at":"2026-05-18T01:03:50Z","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":"Wavelet methods are widely used to decompose fMRI, EEG, or MEG signals into time series representing neurophysiological activity in fixed frequency bands. Using these time series, one can estimate frequency-band specific functional connectivity between sensors or regions of interest, and thereby construct functional brain networks that can be examined from a graph theoretic perspective. Despite their common use, however, practical guidelines for the choice of wavelet method, filter, and length have remained largely undelineated. Here, we explicitly explore the effects of wavelet method (MODWT ","authors_text":"Chad Giusti, Danielle S. Bassett, Kelvin O. Lim, Qawi K. Telesford, Zitong Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2015-12-23T19:25:08Z","title":"Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.07596","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":"sha256:8b83c8bfb1b6a1dcd80189db641eed546db92f2c47787fd69f3abb662311881a","target":"record","created_at":"2026-05-18T01:03:50Z","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":"e797a33e9b677cf015efffb7fef6ab25c0c4dd5c7d835a3fb4ec977c5acb9f0f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2015-12-23T19:25:08Z","title_canon_sha256":"52e14bb7ba8cd814bbe68b8af92a2f97360ea99ffc903189263670e05cbb94db"},"schema_version":"1.0","source":{"id":"1512.07596","kind":"arxiv","version":1}},"canonical_sha256":"b620a9efd225d0a1ca5f0ce8f53d8466d6da76f6264ba21323984b757dde5e08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b620a9efd225d0a1ca5f0ce8f53d8466d6da76f6264ba21323984b757dde5e08","first_computed_at":"2026-05-18T01:03:50.672230Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:03:50.672230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DtKDbAKVaFg4iHvE/DwRnr2rkNYmn8V1xk8rihzz0Aw6yvdMwX1f965gBjFo16OE6KqvuwfqIRUgKbdnvd6sCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:03:50.672856Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.07596","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8b83c8bfb1b6a1dcd80189db641eed546db92f2c47787fd69f3abb662311881a","sha256:ff914c4959d5633bd777ef1c7b3012b5c641d7722b7550697829cfdff9a41f1b"],"state_sha256":"6ffe263c58a1c9d5da9e6bcfb359bd3d2725d3b4f651592c0f4020b87fbcac63"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b36HIPFtQF8dCNdwED01Rd9NsMaL27AtwKpo2KteuJkQBpfrsKQAecqPI+MOMEbeQ5llo0W3wVsz0rFHhPcTDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T15:56:00.285477Z","bundle_sha256":"9588ac37d3f687cd798d690a1ef767cd89eca77c77a04e59cbe69cfa2cb0a431"}}