{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:6CBO22MCSLCUM5K6LQIQNAGGSX","short_pith_number":"pith:6CBO22MC","canonical_record":{"source":{"id":"1709.03260","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-09-11T06:25:46Z","cross_cats_sorted":[],"title_canon_sha256":"a9ecd4af4aab32ac78c2849fd70ce173947d810a132565ad3f35ae15b6d3ffb4","abstract_canon_sha256":"c4ab31119f44866a32b4ea2b9024097913370e1ca79b74307209d63fb19d98e1"},"schema_version":"1.0"},"canonical_sha256":"f082ed698292c546755e5c110680c695f15472743c3b4626e0f1e3e24d257e46","source":{"kind":"arxiv","id":"1709.03260","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.03260","created_at":"2026-05-18T00:35:38Z"},{"alias_kind":"arxiv_version","alias_value":"1709.03260v1","created_at":"2026-05-18T00:35:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03260","created_at":"2026-05-18T00:35:38Z"},{"alias_kind":"pith_short_12","alias_value":"6CBO22MCSLCU","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6CBO22MCSLCUM5K6","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6CBO22MC","created_at":"2026-05-18T12:31:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:6CBO22MCSLCUM5K6LQIQNAGGSX","target":"record","payload":{"canonical_record":{"source":{"id":"1709.03260","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-09-11T06:25:46Z","cross_cats_sorted":[],"title_canon_sha256":"a9ecd4af4aab32ac78c2849fd70ce173947d810a132565ad3f35ae15b6d3ffb4","abstract_canon_sha256":"c4ab31119f44866a32b4ea2b9024097913370e1ca79b74307209d63fb19d98e1"},"schema_version":"1.0"},"canonical_sha256":"f082ed698292c546755e5c110680c695f15472743c3b4626e0f1e3e24d257e46","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:38.891401Z","signature_b64":"4/YeUgFDYN62/ZARJq2p1A+U1L72Er6E9FXi3mJ2YM62oQqH8HW7KC8ApfTRDXJy557tNITlVSIcWWxQqTJxDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f082ed698292c546755e5c110680c695f15472743c3b4626e0f1e3e24d257e46","last_reissued_at":"2026-05-18T00:35:38.890922Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:38.890922Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.03260","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":"2026-05-18T00:35:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5q4gVX6PG6cDMuVNH5GEaHy7RLsPnQbTDqQqZIzeqIDAVQPXMFqdvTC3+drUdngxGjEOJsoNeCzRqNO+CHREBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T12:56:21.088201Z"},"content_sha256":"db6f45e87f096d196852205a62238eb9c2a37b268383c01100207e5a1467787b","schema_version":"1.0","event_id":"sha256:db6f45e87f096d196852205a62238eb9c2a37b268383c01100207e5a1467787b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:6CBO22MCSLCUM5K6LQIQNAGGSX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Short Note on Proximity-based Scoring of Documents with Multiple Fields","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Sumio Fujita, Tomohiro Manabe","submitted_at":"2017-09-11T06:25:46Z","abstract_excerpt":"The BM25 ranking function is one of the most well known query relevance document scoring functions and many variations of it are proposed. The BM25F function is one of its adaptations designed for modeling documents with multiple fields. The Expanded Span method extends a BM25-like function by taking into considerations of the proximity between term occurrences. In this note, we combine these two variations into one scoring method in view of proximity-based scoring of documents with multiple fields."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03260","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":"2026-05-18T00:35:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sxRsq1f9Xs5seQSKbtenMqHXJTt8rek89WooT/1412RzM1bBSsXoSSFogOYEkViSM5HhlmIJh6LwqQMO5HXkDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T12:56:21.088549Z"},"content_sha256":"6c8dc724e2186b6774c3f32fae8aa6dbd398dd6f5b7390af9718b46f31c8f339","schema_version":"1.0","event_id":"sha256:6c8dc724e2186b6774c3f32fae8aa6dbd398dd6f5b7390af9718b46f31c8f339"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6CBO22MCSLCUM5K6LQIQNAGGSX/bundle.json","state_url":"https://pith.science/pith/6CBO22MCSLCUM5K6LQIQNAGGSX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6CBO22MCSLCUM5K6LQIQNAGGSX/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":"2026-06-09T12:56:21Z","links":{"resolver":"https://pith.science/pith/6CBO22MCSLCUM5K6LQIQNAGGSX","bundle":"https://pith.science/pith/6CBO22MCSLCUM5K6LQIQNAGGSX/bundle.json","state":"https://pith.science/pith/6CBO22MCSLCUM5K6LQIQNAGGSX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6CBO22MCSLCUM5K6LQIQNAGGSX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6CBO22MCSLCUM5K6LQIQNAGGSX","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":"c4ab31119f44866a32b4ea2b9024097913370e1ca79b74307209d63fb19d98e1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-09-11T06:25:46Z","title_canon_sha256":"a9ecd4af4aab32ac78c2849fd70ce173947d810a132565ad3f35ae15b6d3ffb4"},"schema_version":"1.0","source":{"id":"1709.03260","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.03260","created_at":"2026-05-18T00:35:38Z"},{"alias_kind":"arxiv_version","alias_value":"1709.03260v1","created_at":"2026-05-18T00:35:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03260","created_at":"2026-05-18T00:35:38Z"},{"alias_kind":"pith_short_12","alias_value":"6CBO22MCSLCU","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6CBO22MCSLCUM5K6","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6CBO22MC","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:6c8dc724e2186b6774c3f32fae8aa6dbd398dd6f5b7390af9718b46f31c8f339","target":"graph","created_at":"2026-05-18T00:35:38Z","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":"The BM25 ranking function is one of the most well known query relevance document scoring functions and many variations of it are proposed. The BM25F function is one of its adaptations designed for modeling documents with multiple fields. The Expanded Span method extends a BM25-like function by taking into considerations of the proximity between term occurrences. In this note, we combine these two variations into one scoring method in view of proximity-based scoring of documents with multiple fields.","authors_text":"Sumio Fujita, Tomohiro Manabe","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-09-11T06:25:46Z","title":"A Short Note on Proximity-based Scoring of Documents with Multiple Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03260","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:db6f45e87f096d196852205a62238eb9c2a37b268383c01100207e5a1467787b","target":"record","created_at":"2026-05-18T00:35:38Z","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":"c4ab31119f44866a32b4ea2b9024097913370e1ca79b74307209d63fb19d98e1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-09-11T06:25:46Z","title_canon_sha256":"a9ecd4af4aab32ac78c2849fd70ce173947d810a132565ad3f35ae15b6d3ffb4"},"schema_version":"1.0","source":{"id":"1709.03260","kind":"arxiv","version":1}},"canonical_sha256":"f082ed698292c546755e5c110680c695f15472743c3b4626e0f1e3e24d257e46","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f082ed698292c546755e5c110680c695f15472743c3b4626e0f1e3e24d257e46","first_computed_at":"2026-05-18T00:35:38.890922Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:38.890922Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4/YeUgFDYN62/ZARJq2p1A+U1L72Er6E9FXi3mJ2YM62oQqH8HW7KC8ApfTRDXJy557tNITlVSIcWWxQqTJxDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:38.891401Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.03260","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db6f45e87f096d196852205a62238eb9c2a37b268383c01100207e5a1467787b","sha256:6c8dc724e2186b6774c3f32fae8aa6dbd398dd6f5b7390af9718b46f31c8f339"],"state_sha256":"d2e1427dd594df33d640cf4e8cfdc3d81c3201455f071aab65d745cf48cc176c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oOisGuOBjPqipI2RMtJJUnJPH3WGPkMBSPX3lu+UAc6bGV4qaKa7yl2liubxorExHYjCZEr629yyUHYx/kWKCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T12:56:21.090490Z","bundle_sha256":"647525749cb115868fa8ba4b6e2c7eba5dac024fa6e15b543f7aa6b0549ff6bd"}}