{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:LQ6ZIH7BGXC7V6GNJAPZ3DTT5C","short_pith_number":"pith:LQ6ZIH7B","canonical_record":{"source":{"id":"2302.13574","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-27T08:21:14Z","cross_cats_sorted":[],"title_canon_sha256":"f703437309ac6e1abf0d677274d2bf5cd1873260bc9877cbe3aa2e28b6ba3a0c","abstract_canon_sha256":"e4debdcd34172bb039a66c67c8a994ad9cf7bb7b11e9a3949988d50c60783f34"},"schema_version":"1.0"},"canonical_sha256":"5c3d941fe135c5faf8cd481f9d8e73e898dd2f9a85a685d9692e8b177b120f15","source":{"kind":"arxiv","id":"2302.13574","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.13574","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"arxiv_version","alias_value":"2302.13574v1","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.13574","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"pith_short_12","alias_value":"LQ6ZIH7BGXC7","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"pith_short_16","alias_value":"LQ6ZIH7BGXC7V6GN","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"pith_short_8","alias_value":"LQ6ZIH7B","created_at":"2026-07-05T05:45:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:LQ6ZIH7BGXC7V6GNJAPZ3DTT5C","target":"record","payload":{"canonical_record":{"source":{"id":"2302.13574","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-27T08:21:14Z","cross_cats_sorted":[],"title_canon_sha256":"f703437309ac6e1abf0d677274d2bf5cd1873260bc9877cbe3aa2e28b6ba3a0c","abstract_canon_sha256":"e4debdcd34172bb039a66c67c8a994ad9cf7bb7b11e9a3949988d50c60783f34"},"schema_version":"1.0"},"canonical_sha256":"5c3d941fe135c5faf8cd481f9d8e73e898dd2f9a85a685d9692e8b177b120f15","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:45:48.683084Z","signature_b64":"h3lm9TCFVqPHY6T7eH4PZOKAJ2CvM0fU8tAW8VGe3Jzzxd+JC2zgPjp72yT9ZQl1qAlO6DeXwLbQDHM+raTCAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c3d941fe135c5faf8cd481f9d8e73e898dd2f9a85a685d9692e8b177b120f15","last_reissued_at":"2026-07-05T05:45:48.682534Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:45:48.682534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.13574","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":"2026-07-05T05:45:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OVUJh6AItS7nQmxzOY9G0sEg2/79K/KA5WBGtYXpHrYyuD7XNIyWqmo7OOPDSH18MUS9mWn19pE/rgK8estuBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:37:38.081039Z"},"content_sha256":"8bd5ac5a0a9cd8b1072e73e681d736c728a7967ec34c45aec5166f71fc135a0e","schema_version":"1.0","event_id":"sha256:8bd5ac5a0a9cd8b1072e73e681d736c728a7967ec34c45aec5166f71fc135a0e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:LQ6ZIH7BGXC7V6GNJAPZ3DTT5C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"kNN-BOX: A Unified Framework for Nearest Neighbor Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jiajun Chen, Qianfeng Zhao, Shujian Huang, Siheng Zhao, Sizhe Liu, Wenhao Zhu, Yunzhe Lv","submitted_at":"2023-02-27T08:21:14Z","abstract_excerpt":"Augmenting the base neural model with a token-level symbolic datastore is a novel generation paradigm and has achieved promising results in machine translation (MT). In this paper, we introduce a unified framework kNN-BOX, which enables quick development and interactive analysis for this novel paradigm. kNN-BOX decomposes the datastore-augmentation approach into three modules: datastore, retriever and combiner, thus putting diverse kNN generation methods into a unified way. Currently, kNN-BOX has provided implementation of seven popular kNN-MT variants, covering research from performance enhan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.13574","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2302.13574/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":"2026-07-05T05:45:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1DpYR0RB0xxjhbFJcf1RHwnziOYp6kDl0siMsRmRswoyDulx8O64uuCooUWqGz9JKWvmajQakleG5HrHSiZiAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T18:37:38.081721Z"},"content_sha256":"05bdf6ed15da5183752e997d8bc53b72642f7ea490d2d42f6fe6250f32453322","schema_version":"1.0","event_id":"sha256:05bdf6ed15da5183752e997d8bc53b72642f7ea490d2d42f6fe6250f32453322"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LQ6ZIH7BGXC7V6GNJAPZ3DTT5C/bundle.json","state_url":"https://pith.science/pith/LQ6ZIH7BGXC7V6GNJAPZ3DTT5C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LQ6ZIH7BGXC7V6GNJAPZ3DTT5C/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":"2026-08-19T18:37:38Z","links":{"resolver":"https://pith.science/pith/LQ6ZIH7BGXC7V6GNJAPZ3DTT5C","bundle":"https://pith.science/pith/LQ6ZIH7BGXC7V6GNJAPZ3DTT5C/bundle.json","state":"https://pith.science/pith/LQ6ZIH7BGXC7V6GNJAPZ3DTT5C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LQ6ZIH7BGXC7V6GNJAPZ3DTT5C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LQ6ZIH7BGXC7V6GNJAPZ3DTT5C","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":"e4debdcd34172bb039a66c67c8a994ad9cf7bb7b11e9a3949988d50c60783f34","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-27T08:21:14Z","title_canon_sha256":"f703437309ac6e1abf0d677274d2bf5cd1873260bc9877cbe3aa2e28b6ba3a0c"},"schema_version":"1.0","source":{"id":"2302.13574","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.13574","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"arxiv_version","alias_value":"2302.13574v1","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.13574","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"pith_short_12","alias_value":"LQ6ZIH7BGXC7","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"pith_short_16","alias_value":"LQ6ZIH7BGXC7V6GN","created_at":"2026-07-05T05:45:48Z"},{"alias_kind":"pith_short_8","alias_value":"LQ6ZIH7B","created_at":"2026-07-05T05:45:48Z"}],"graph_snapshots":[{"event_id":"sha256:05bdf6ed15da5183752e997d8bc53b72642f7ea490d2d42f6fe6250f32453322","target":"graph","created_at":"2026-07-05T05:45:48Z","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/2302.13574/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Augmenting the base neural model with a token-level symbolic datastore is a novel generation paradigm and has achieved promising results in machine translation (MT). In this paper, we introduce a unified framework kNN-BOX, which enables quick development and interactive analysis for this novel paradigm. kNN-BOX decomposes the datastore-augmentation approach into three modules: datastore, retriever and combiner, thus putting diverse kNN generation methods into a unified way. Currently, kNN-BOX has provided implementation of seven popular kNN-MT variants, covering research from performance enhan","authors_text":"Jiajun Chen, Qianfeng Zhao, Shujian Huang, Siheng Zhao, Sizhe Liu, Wenhao Zhu, Yunzhe Lv","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-27T08:21:14Z","title":"kNN-BOX: A Unified Framework for Nearest Neighbor Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.13574","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":"sha256:8bd5ac5a0a9cd8b1072e73e681d736c728a7967ec34c45aec5166f71fc135a0e","target":"record","created_at":"2026-07-05T05:45:48Z","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":"e4debdcd34172bb039a66c67c8a994ad9cf7bb7b11e9a3949988d50c60783f34","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-27T08:21:14Z","title_canon_sha256":"f703437309ac6e1abf0d677274d2bf5cd1873260bc9877cbe3aa2e28b6ba3a0c"},"schema_version":"1.0","source":{"id":"2302.13574","kind":"arxiv","version":1}},"canonical_sha256":"5c3d941fe135c5faf8cd481f9d8e73e898dd2f9a85a685d9692e8b177b120f15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c3d941fe135c5faf8cd481f9d8e73e898dd2f9a85a685d9692e8b177b120f15","first_computed_at":"2026-07-05T05:45:48.682534Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:45:48.682534Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h3lm9TCFVqPHY6T7eH4PZOKAJ2CvM0fU8tAW8VGe3Jzzxd+JC2zgPjp72yT9ZQl1qAlO6DeXwLbQDHM+raTCAA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:45:48.683084Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.13574","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8bd5ac5a0a9cd8b1072e73e681d736c728a7967ec34c45aec5166f71fc135a0e","sha256:05bdf6ed15da5183752e997d8bc53b72642f7ea490d2d42f6fe6250f32453322"],"state_sha256":"0b8b7b9cce73ef24175f737cb60bb4fb021e6f39c182f95fe57144b68fb6f27c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MC4VQEWhNMLhL0v1MJEcpfE3tuUpgCvyeQdBJ6HguG5pHKbpm4GU7ivWbMfRqd86wNVVQWs4a5o9Wn7Nrcj6DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T18:37:38.094817Z","bundle_sha256":"6aa3efae9dda54e029cab72022af6355e7e71f992aa92aa2618643a39e3eb196"}}