{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:DLOMBZ4PFIX5OCLXAD7W33U5WA","short_pith_number":"pith:DLOMBZ4P","canonical_record":{"source":{"id":"1401.3896","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2014-01-16T05:18:05Z","cross_cats_sorted":[],"title_canon_sha256":"bd31154a82cddc64b6109c7b7318e3d0f63b0e26e99bd990d6cbf30cf8a61006","abstract_canon_sha256":"1b73b4d8ba9eededc8ed155930c159d6adce1d183047b07b08ebc3eef265ec7a"},"schema_version":"1.0"},"canonical_sha256":"1adcc0e78f2a2fd7097700ff6dee9db018a5cc04a3ef7ed353fbfe7d9bbb3183","source":{"kind":"arxiv","id":"1401.3896","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.3896","created_at":"2026-05-18T03:02:06Z"},{"alias_kind":"arxiv_version","alias_value":"1401.3896v1","created_at":"2026-05-18T03:02:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.3896","created_at":"2026-05-18T03:02:06Z"},{"alias_kind":"pith_short_12","alias_value":"DLOMBZ4PFIX5","created_at":"2026-05-18T12:28:25Z"},{"alias_kind":"pith_short_16","alias_value":"DLOMBZ4PFIX5OCLX","created_at":"2026-05-18T12:28:25Z"},{"alias_kind":"pith_short_8","alias_value":"DLOMBZ4P","created_at":"2026-05-18T12:28:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:DLOMBZ4PFIX5OCLXAD7W33U5WA","target":"record","payload":{"canonical_record":{"source":{"id":"1401.3896","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2014-01-16T05:18:05Z","cross_cats_sorted":[],"title_canon_sha256":"bd31154a82cddc64b6109c7b7318e3d0f63b0e26e99bd990d6cbf30cf8a61006","abstract_canon_sha256":"1b73b4d8ba9eededc8ed155930c159d6adce1d183047b07b08ebc3eef265ec7a"},"schema_version":"1.0"},"canonical_sha256":"1adcc0e78f2a2fd7097700ff6dee9db018a5cc04a3ef7ed353fbfe7d9bbb3183","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:02:06.162567Z","signature_b64":"xSZ2MlnB7FNBvVjnrR3DZaSxOFT6lm6Q5/6h9z7kDduXVFVTRHRlxsDeZe8oubXgC14ssHGfyFLHd3m1pGHXCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1adcc0e78f2a2fd7097700ff6dee9db018a5cc04a3ef7ed353fbfe7d9bbb3183","last_reissued_at":"2026-05-18T03:02:06.161839Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:02:06.161839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1401.3896","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":"2026-05-18T03:02:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TgN8AxnqA+f+qkax1i9XnFbk/1iddCeQdgs+hR9FR6174+ya/7yqPX9CEFgAZZnGaoEth5hZZz5jBO9/WrpEAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:35:06.423083Z"},"content_sha256":"81ff6a308ea792165baf494fac65626303a0db3e08f7568bb63a496d15ee5d57","schema_version":"1.0","event_id":"sha256:81ff6a308ea792165baf494fac65626303a0db3e08f7568bb63a496d15ee5d57"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:DLOMBZ4PFIX5OCLXAD7W33U5WA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Opposite of Smoothing: A Language Model Approach to Ranking Query-Specific Document Clusters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Eyal Krikon, Oren Kurland","submitted_at":"2014-01-16T05:18:05Z","abstract_excerpt":"Exploiting information induced from (query-specific) clustering of top-retrieved documents has long been proposed as a means for improving precision at the very top ranks of the returned results. We present a novel language model approach to ranking query-specific clusters by the presumed percentage of relevant documents that they contain. While most previous cluster ranking approaches focus on the cluster as a whole, our model utilizes also information induced from documents associated with the cluster. Our model substantially outperforms previous approaches for identifying clusters containin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.3896","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":"2026-05-18T03:02:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"22qjBmRGV+YNyuls8+mv1AXxE5/rLY4rfMsPLbDLWjj/1ylC2xA5Lvks2nZWdweveAmJMnUZzHmKkw9R+yqJBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T08:35:06.423679Z"},"content_sha256":"cd9f530b382a06a0f93f9dc4a820393ac0d06cc20d535d62b2986b948456ba0d","schema_version":"1.0","event_id":"sha256:cd9f530b382a06a0f93f9dc4a820393ac0d06cc20d535d62b2986b948456ba0d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DLOMBZ4PFIX5OCLXAD7W33U5WA/bundle.json","state_url":"https://pith.science/pith/DLOMBZ4PFIX5OCLXAD7W33U5WA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DLOMBZ4PFIX5OCLXAD7W33U5WA/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":"2026-06-03T08:35:06Z","links":{"resolver":"https://pith.science/pith/DLOMBZ4PFIX5OCLXAD7W33U5WA","bundle":"https://pith.science/pith/DLOMBZ4PFIX5OCLXAD7W33U5WA/bundle.json","state":"https://pith.science/pith/DLOMBZ4PFIX5OCLXAD7W33U5WA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DLOMBZ4PFIX5OCLXAD7W33U5WA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:DLOMBZ4PFIX5OCLXAD7W33U5WA","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":"1b73b4d8ba9eededc8ed155930c159d6adce1d183047b07b08ebc3eef265ec7a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2014-01-16T05:18:05Z","title_canon_sha256":"bd31154a82cddc64b6109c7b7318e3d0f63b0e26e99bd990d6cbf30cf8a61006"},"schema_version":"1.0","source":{"id":"1401.3896","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1401.3896","created_at":"2026-05-18T03:02:06Z"},{"alias_kind":"arxiv_version","alias_value":"1401.3896v1","created_at":"2026-05-18T03:02:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1401.3896","created_at":"2026-05-18T03:02:06Z"},{"alias_kind":"pith_short_12","alias_value":"DLOMBZ4PFIX5","created_at":"2026-05-18T12:28:25Z"},{"alias_kind":"pith_short_16","alias_value":"DLOMBZ4PFIX5OCLX","created_at":"2026-05-18T12:28:25Z"},{"alias_kind":"pith_short_8","alias_value":"DLOMBZ4P","created_at":"2026-05-18T12:28:25Z"}],"graph_snapshots":[{"event_id":"sha256:cd9f530b382a06a0f93f9dc4a820393ac0d06cc20d535d62b2986b948456ba0d","target":"graph","created_at":"2026-05-18T03:02:06Z","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":"Exploiting information induced from (query-specific) clustering of top-retrieved documents has long been proposed as a means for improving precision at the very top ranks of the returned results. We present a novel language model approach to ranking query-specific clusters by the presumed percentage of relevant documents that they contain. While most previous cluster ranking approaches focus on the cluster as a whole, our model utilizes also information induced from documents associated with the cluster. Our model substantially outperforms previous approaches for identifying clusters containin","authors_text":"Eyal Krikon, Oren Kurland","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2014-01-16T05:18:05Z","title":"The Opposite of Smoothing: A Language Model Approach to Ranking Query-Specific Document Clusters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1401.3896","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":"sha256:81ff6a308ea792165baf494fac65626303a0db3e08f7568bb63a496d15ee5d57","target":"record","created_at":"2026-05-18T03:02:06Z","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":"1b73b4d8ba9eededc8ed155930c159d6adce1d183047b07b08ebc3eef265ec7a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2014-01-16T05:18:05Z","title_canon_sha256":"bd31154a82cddc64b6109c7b7318e3d0f63b0e26e99bd990d6cbf30cf8a61006"},"schema_version":"1.0","source":{"id":"1401.3896","kind":"arxiv","version":1}},"canonical_sha256":"1adcc0e78f2a2fd7097700ff6dee9db018a5cc04a3ef7ed353fbfe7d9bbb3183","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1adcc0e78f2a2fd7097700ff6dee9db018a5cc04a3ef7ed353fbfe7d9bbb3183","first_computed_at":"2026-05-18T03:02:06.161839Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:02:06.161839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xSZ2MlnB7FNBvVjnrR3DZaSxOFT6lm6Q5/6h9z7kDduXVFVTRHRlxsDeZe8oubXgC14ssHGfyFLHd3m1pGHXCA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:02:06.162567Z","signed_message":"canonical_sha256_bytes"},"source_id":"1401.3896","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81ff6a308ea792165baf494fac65626303a0db3e08f7568bb63a496d15ee5d57","sha256:cd9f530b382a06a0f93f9dc4a820393ac0d06cc20d535d62b2986b948456ba0d"],"state_sha256":"3b9e690ee5e09d4e85e9cd9636b0ac2576dd6d4220adb7bff0e027784dd26662"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A4zdFpr3Ei9wqsZcfRNjeIMmklu7IYi7cjAt3dvZEZswmnTQSlFnSwK36iDQajukWj/JrSWOxyDvassAWizcAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T08:35:06.425572Z","bundle_sha256":"a89a9f64db31a2fe79646e876f298d32fee0b27bdf178c947af6f675959fc357"}}