{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2LBJCKBLNAZBHDTZISES7523B3","short_pith_number":"pith:2LBJCKBL","canonical_record":{"source":{"id":"2404.02835","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-03T16:13:29Z","cross_cats_sorted":[],"title_canon_sha256":"031249f5644c79cd800391095560ca1cb39fddcf81ae02112a07cf8ae5de638c","abstract_canon_sha256":"7792bff0bf3080f6d4d53ef7006bdfb49ef295a867aeeaee31d69edeec4f204d"},"schema_version":"1.0"},"canonical_sha256":"d2c291282b6832138e7944892ff75b0ec7196ebd47a2f7398076654b37038899","source":{"kind":"arxiv","id":"2404.02835","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.02835","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2404.02835v1","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02835","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"2LBJCKBLNAZB","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"2LBJCKBLNAZBHDTZ","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"2LBJCKBL","created_at":"2026-07-05T08:04:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2LBJCKBLNAZBHDTZISES7523B3","target":"record","payload":{"canonical_record":{"source":{"id":"2404.02835","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-03T16:13:29Z","cross_cats_sorted":[],"title_canon_sha256":"031249f5644c79cd800391095560ca1cb39fddcf81ae02112a07cf8ae5de638c","abstract_canon_sha256":"7792bff0bf3080f6d4d53ef7006bdfb49ef295a867aeeaee31d69edeec4f204d"},"schema_version":"1.0"},"canonical_sha256":"d2c291282b6832138e7944892ff75b0ec7196ebd47a2f7398076654b37038899","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:04:01.795963Z","signature_b64":"0UVcp97TOQSOlvn17KXDiDg+pCe7He7v3vTnejDX8xeAuYcvQnurneY6qn5btn02H7BY3UU0PadASwM6RwKKCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2c291282b6832138e7944892ff75b0ec7196ebd47a2f7398076654b37038899","last_reissued_at":"2026-07-05T08:04:01.795527Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:04:01.795527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.02835","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":"2026-07-05T08:04:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pIxEvZo0Vv0XkAoUMrdJjotgnTbSRMCqgwQNfKbgcxU4sAGsxmienJRJ1v3IKp1WkD67zrYNHlneMNM36jmMAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:50:13.980091Z"},"content_sha256":"88ca3c13346d49a97532c2f2cfa61e0b2ffac7df88663b30e99f4008116ea0bf","schema_version":"1.0","event_id":"sha256:88ca3c13346d49a97532c2f2cfa61e0b2ffac7df88663b30e99f4008116ea0bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2LBJCKBLNAZBHDTZISES7523B3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Francois Yvon, Josep Crego, Maxime Bouthors","submitted_at":"2024-04-03T16:13:29Z","abstract_excerpt":"Retrieval-Augmented Neural Machine Translation (RAMT) architectures retrieve examples from memory to guide the generation process. While most works in this trend explore new ways to exploit the retrieved examples, the upstream retrieval step is mostly unexplored. In this paper, we study the effect of varying retrieval methods for several translation architectures, to better understand the interplay between these two processes. We conduct experiments in two language pairs in a multi-domain setting and consider several downstream architectures based on a standard autoregressive model, an edit-ba"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02835","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/2404.02835/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":"2026-07-05T08:04:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pCTSkEmJk+OU2GaczeY6/MfVarc/2lB5kkMRlL0X9Aam7FVSz5EvspOLXilm8YURQ6NpaF60H7fhQ2iRV2W4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:50:13.980484Z"},"content_sha256":"84f3469aa1c94ad85fcea04b10f129a92a95e0dfb5b70439afd5742ddc6e4d38","schema_version":"1.0","event_id":"sha256:84f3469aa1c94ad85fcea04b10f129a92a95e0dfb5b70439afd5742ddc6e4d38"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2LBJCKBLNAZBHDTZISES7523B3/bundle.json","state_url":"https://pith.science/pith/2LBJCKBLNAZBHDTZISES7523B3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2LBJCKBLNAZBHDTZISES7523B3/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":"2026-07-09T02:50:13Z","links":{"resolver":"https://pith.science/pith/2LBJCKBLNAZBHDTZISES7523B3","bundle":"https://pith.science/pith/2LBJCKBLNAZBHDTZISES7523B3/bundle.json","state":"https://pith.science/pith/2LBJCKBLNAZBHDTZISES7523B3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2LBJCKBLNAZBHDTZISES7523B3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2LBJCKBLNAZBHDTZISES7523B3","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":"7792bff0bf3080f6d4d53ef7006bdfb49ef295a867aeeaee31d69edeec4f204d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-03T16:13:29Z","title_canon_sha256":"031249f5644c79cd800391095560ca1cb39fddcf81ae02112a07cf8ae5de638c"},"schema_version":"1.0","source":{"id":"2404.02835","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.02835","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"arxiv_version","alias_value":"2404.02835v1","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.02835","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"pith_short_12","alias_value":"2LBJCKBLNAZB","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"pith_short_16","alias_value":"2LBJCKBLNAZBHDTZ","created_at":"2026-07-05T08:04:01Z"},{"alias_kind":"pith_short_8","alias_value":"2LBJCKBL","created_at":"2026-07-05T08:04:01Z"}],"graph_snapshots":[{"event_id":"sha256:84f3469aa1c94ad85fcea04b10f129a92a95e0dfb5b70439afd5742ddc6e4d38","target":"graph","created_at":"2026-07-05T08:04:01Z","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/2404.02835/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieval-Augmented Neural Machine Translation (RAMT) architectures retrieve examples from memory to guide the generation process. While most works in this trend explore new ways to exploit the retrieved examples, the upstream retrieval step is mostly unexplored. In this paper, we study the effect of varying retrieval methods for several translation architectures, to better understand the interplay between these two processes. We conduct experiments in two language pairs in a multi-domain setting and consider several downstream architectures based on a standard autoregressive model, an edit-ba","authors_text":"Francois Yvon, Josep Crego, Maxime Bouthors","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-03T16:13:29Z","title":"Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.02835","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":"sha256:88ca3c13346d49a97532c2f2cfa61e0b2ffac7df88663b30e99f4008116ea0bf","target":"record","created_at":"2026-07-05T08:04:01Z","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":"7792bff0bf3080f6d4d53ef7006bdfb49ef295a867aeeaee31d69edeec4f204d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-04-03T16:13:29Z","title_canon_sha256":"031249f5644c79cd800391095560ca1cb39fddcf81ae02112a07cf8ae5de638c"},"schema_version":"1.0","source":{"id":"2404.02835","kind":"arxiv","version":1}},"canonical_sha256":"d2c291282b6832138e7944892ff75b0ec7196ebd47a2f7398076654b37038899","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2c291282b6832138e7944892ff75b0ec7196ebd47a2f7398076654b37038899","first_computed_at":"2026-07-05T08:04:01.795527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:04:01.795527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0UVcp97TOQSOlvn17KXDiDg+pCe7He7v3vTnejDX8xeAuYcvQnurneY6qn5btn02H7BY3UU0PadASwM6RwKKCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:04:01.795963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.02835","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88ca3c13346d49a97532c2f2cfa61e0b2ffac7df88663b30e99f4008116ea0bf","sha256:84f3469aa1c94ad85fcea04b10f129a92a95e0dfb5b70439afd5742ddc6e4d38"],"state_sha256":"f34ab12f3d4819338797ff4f238dac8f2f34528e73a4fdbcf9cbb0a1cbf02d53"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XgB+X/raEYPp9d3UjcupUl0etlcVm/ax1huaI8w8CA5KZq+Sba3LGmTTFLQoyDKTLJ0ybbW3E1U6+00i3ClrAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T02:50:13.982388Z","bundle_sha256":"813236df7e9a1291a357fdb528410d9487487c3ca58bc088c3d33ab672dc2758"}}