{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:AVYR2KKGLLUXJ5IUR4QQRMK3RG","short_pith_number":"pith:AVYR2KKG","canonical_record":{"source":{"id":"1809.10522","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-27T14:01:19Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"d4750576ef1b6d51f3c2c2a7dffda42d4471f7975c8d2d5eaade74562f111b1b","abstract_canon_sha256":"523563171fec8fb66255f37826efd0ff7d15cbe7aa990f2271772eb916ff7ce6"},"schema_version":"1.0"},"canonical_sha256":"05711d29465ae974f5148f2108b15b8984282f39afea9c880df40d5e32b4c39b","source":{"kind":"arxiv","id":"1809.10522","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.10522","created_at":"2026-05-18T00:04:38Z"},{"alias_kind":"arxiv_version","alias_value":"1809.10522v1","created_at":"2026-05-18T00:04:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.10522","created_at":"2026-05-18T00:04:38Z"},{"alias_kind":"pith_short_12","alias_value":"AVYR2KKGLLUX","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AVYR2KKGLLUXJ5IU","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AVYR2KKG","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:AVYR2KKGLLUXJ5IUR4QQRMK3RG","target":"record","payload":{"canonical_record":{"source":{"id":"1809.10522","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-27T14:01:19Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"d4750576ef1b6d51f3c2c2a7dffda42d4471f7975c8d2d5eaade74562f111b1b","abstract_canon_sha256":"523563171fec8fb66255f37826efd0ff7d15cbe7aa990f2271772eb916ff7ce6"},"schema_version":"1.0"},"canonical_sha256":"05711d29465ae974f5148f2108b15b8984282f39afea9c880df40d5e32b4c39b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:04:38.177408Z","signature_b64":"72f1x1oh/TPk6uU1bycJUbyM0rnOKvN/n11MHU1tFjXDUkzDAo9zaAi1dZkchQPmy2MFf7G6uxUCu5pT0AxLAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"05711d29465ae974f5148f2108b15b8984282f39afea9c880df40d5e32b4c39b","last_reissued_at":"2026-05-18T00:04:38.176879Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:04:38.176879Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.10522","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":"2026-05-18T00:04:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yaqePcsY6HdPwS9jBnyIfcJdcjE3tw/AMDQ/3eNUImBkaQgG2OHAMFnlEBKrcJFkNd533PGD5rFO6/6vevq7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T08:28:46.964035Z"},"content_sha256":"ef49cdb6d47b40ddfe618296db3e95ca5a7575757c888010449747613ba37061","schema_version":"1.0","event_id":"sha256:ef49cdb6d47b40ddfe618296db3e95ca5a7575757c888010449747613ba37061"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:AVYR2KKGLLUXJ5IUR4QQRMK3RG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Consistency and Variation in Kernel Neural Ranking Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.IR","authors_text":"Chenyan Xiong, Jamie Callan, Mary Arpita Pyreddy, Narendra Nath Joshi, Varshini Ramaseshan, Zhiyuan Liu, Zhuyun Dai","submitted_at":"2018-09-27T14:01:19Z","abstract_excerpt":"This paper studies the consistency of the kernel-based neural ranking model K-NRM, a recent state-of-the-art neural IR model, which is important for reproducible research and deployment in the industry. We find that K-NRM has low variance on relevance-based metrics across experimental trials. In spite of this low variance in overall performance, different trials produce different document rankings for individual queries. The main source of variance in our experiments was found to be different latent matching patterns captured by K-NRM. In the IR-customized word embeddings learned by K-NRM, the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.10522","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":"2026-05-18T00:04:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dpePK88Hh6C9kYPuVLQh+1a+yJUj0GTC8PuXhtAnurDiLs4Cba1cOVH3nP6jTPS6YuhmodP9Zw0SQZ27UY3wDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T08:28:46.964402Z"},"content_sha256":"72b959ee9b1bba5234dd595bc07dd15bb86b4a15401eba99f55276dc19f7b7da","schema_version":"1.0","event_id":"sha256:72b959ee9b1bba5234dd595bc07dd15bb86b4a15401eba99f55276dc19f7b7da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AVYR2KKGLLUXJ5IUR4QQRMK3RG/bundle.json","state_url":"https://pith.science/pith/AVYR2KKGLLUXJ5IUR4QQRMK3RG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AVYR2KKGLLUXJ5IUR4QQRMK3RG/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":"2026-06-05T08:28:46Z","links":{"resolver":"https://pith.science/pith/AVYR2KKGLLUXJ5IUR4QQRMK3RG","bundle":"https://pith.science/pith/AVYR2KKGLLUXJ5IUR4QQRMK3RG/bundle.json","state":"https://pith.science/pith/AVYR2KKGLLUXJ5IUR4QQRMK3RG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AVYR2KKGLLUXJ5IUR4QQRMK3RG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AVYR2KKGLLUXJ5IUR4QQRMK3RG","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":"523563171fec8fb66255f37826efd0ff7d15cbe7aa990f2271772eb916ff7ce6","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-27T14:01:19Z","title_canon_sha256":"d4750576ef1b6d51f3c2c2a7dffda42d4471f7975c8d2d5eaade74562f111b1b"},"schema_version":"1.0","source":{"id":"1809.10522","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.10522","created_at":"2026-05-18T00:04:38Z"},{"alias_kind":"arxiv_version","alias_value":"1809.10522v1","created_at":"2026-05-18T00:04:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.10522","created_at":"2026-05-18T00:04:38Z"},{"alias_kind":"pith_short_12","alias_value":"AVYR2KKGLLUX","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AVYR2KKGLLUXJ5IU","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AVYR2KKG","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:72b959ee9b1bba5234dd595bc07dd15bb86b4a15401eba99f55276dc19f7b7da","target":"graph","created_at":"2026-05-18T00:04:38Z","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":"This paper studies the consistency of the kernel-based neural ranking model K-NRM, a recent state-of-the-art neural IR model, which is important for reproducible research and deployment in the industry. We find that K-NRM has low variance on relevance-based metrics across experimental trials. In spite of this low variance in overall performance, different trials produce different document rankings for individual queries. The main source of variance in our experiments was found to be different latent matching patterns captured by K-NRM. In the IR-customized word embeddings learned by K-NRM, the","authors_text":"Chenyan Xiong, Jamie Callan, Mary Arpita Pyreddy, Narendra Nath Joshi, Varshini Ramaseshan, Zhiyuan Liu, Zhuyun Dai","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-27T14:01:19Z","title":"Consistency and Variation in Kernel Neural Ranking Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.10522","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:ef49cdb6d47b40ddfe618296db3e95ca5a7575757c888010449747613ba37061","target":"record","created_at":"2026-05-18T00:04:38Z","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":"523563171fec8fb66255f37826efd0ff7d15cbe7aa990f2271772eb916ff7ce6","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-27T14:01:19Z","title_canon_sha256":"d4750576ef1b6d51f3c2c2a7dffda42d4471f7975c8d2d5eaade74562f111b1b"},"schema_version":"1.0","source":{"id":"1809.10522","kind":"arxiv","version":1}},"canonical_sha256":"05711d29465ae974f5148f2108b15b8984282f39afea9c880df40d5e32b4c39b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05711d29465ae974f5148f2108b15b8984282f39afea9c880df40d5e32b4c39b","first_computed_at":"2026-05-18T00:04:38.176879Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:38.176879Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"72f1x1oh/TPk6uU1bycJUbyM0rnOKvN/n11MHU1tFjXDUkzDAo9zaAi1dZkchQPmy2MFf7G6uxUCu5pT0AxLAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:38.177408Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.10522","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef49cdb6d47b40ddfe618296db3e95ca5a7575757c888010449747613ba37061","sha256:72b959ee9b1bba5234dd595bc07dd15bb86b4a15401eba99f55276dc19f7b7da"],"state_sha256":"61503bbbbd4b8fa0b403a8ea67369752ba41658908b9a439e6dfa107041643fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ft4hNbzBTUf2/2AAWG3EA2YORedHftsnaChAD3AjoIdD422/BhxnFQ2PpjPmL3o1uWK8t/mozKDnlCkNOtUtBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T08:28:46.966407Z","bundle_sha256":"cf643e65e06af6a5972079d79d6de21b5b2faf54683ded6b587eef1bd303ce0f"}}