{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NXDU7YLRYOKTQBFJIQPH7PKDXH","short_pith_number":"pith:NXDU7YLR","canonical_record":{"source":{"id":"2605.31171","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-29T11:34:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9c4077389122c3f389f1649c055c695c3cd5b45b08354e7d8da948c70f49bb87","abstract_canon_sha256":"a3446fff41bc77b08d4528a733b8b9c4fc000c38fa5c5315fd8a8259b2778f4c"},"schema_version":"1.0"},"canonical_sha256":"6dc74fe171c3953804a9441e7fbd43b9d152f29b496912b93bd973986e0ce821","source":{"kind":"arxiv","id":"2605.31171","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31171","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31171v1","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31171","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"pith_short_12","alias_value":"NXDU7YLRYOKT","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"pith_short_16","alias_value":"NXDU7YLRYOKTQBFJ","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"pith_short_8","alias_value":"NXDU7YLR","created_at":"2026-06-01T01:04:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NXDU7YLRYOKTQBFJIQPH7PKDXH","target":"record","payload":{"canonical_record":{"source":{"id":"2605.31171","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-29T11:34:15Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9c4077389122c3f389f1649c055c695c3cd5b45b08354e7d8da948c70f49bb87","abstract_canon_sha256":"a3446fff41bc77b08d4528a733b8b9c4fc000c38fa5c5315fd8a8259b2778f4c"},"schema_version":"1.0"},"canonical_sha256":"6dc74fe171c3953804a9441e7fbd43b9d152f29b496912b93bd973986e0ce821","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:04:02.347005Z","signature_b64":"4jNsMHjEPu1IlqxAi5Cm24wj6rN7ycecG09N3NKRO8CAQN17sfwfwaSgY88NaVIszTaRaN9VhCCthlQ5qur2BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6dc74fe171c3953804a9441e7fbd43b9d152f29b496912b93bd973986e0ce821","last_reissued_at":"2026-06-01T01:04:02.346122Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:04:02.346122Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.31171","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":"2026-06-01T01:04:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a12MHbaILY2mKz2BtjGwzQSaBwer8zZFByenzVME4r8dudcZS6K0IBlJlDpQOy4r7iYXsVpSpGSQl8W4M3RxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T18:59:50.942583Z"},"content_sha256":"b015bbdf6a78104dd0bfc118a68f4a75f6692ed5587f79982464c51f65dc23e7","schema_version":"1.0","event_id":"sha256:b015bbdf6a78104dd0bfc118a68f4a75f6692ed5587f79982464c51f65dc23e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NXDU7YLRYOKTQBFJIQPH7PKDXH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MIMO: Multilingual Information Retrieval via Monolingual Objectives","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Heuiseok Lim, Seongtae Hong, Youngjoon Jang","submitted_at":"2026-05-29T11:34:15Z","abstract_excerpt":"Multilingual Information Retrieval (MLIR) reflects real-world search environments in which queries and relevant documents may appear in different languages within a mixed-language corpus. However, existing embedding models are primarily optimized for Multi-Monolingual retrieval and their performance often degrades in MLIR settings. Moreover, directly applying conventional contrastive learning to MLIR can exacerbate language clustering and expose a trade-off between cross-lingual alignment and embedding uniformity. To address these limitations, we propose MIMO: Multilingual Information Retrieva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31171","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/2605.31171/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":"2026-06-01T01:04:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b003hJdiUwVyNV5QIZtipi4xyXsm5oiLRc+2vcaX9gqu7/IiTrkiu83i0rewobIQZbJreROaH04ETWxv1X3SDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T18:59:50.942956Z"},"content_sha256":"25e6289d88c4301758a889f4150a04ca791d78a5683a0a0fcf33754c805d65df","schema_version":"1.0","event_id":"sha256:25e6289d88c4301758a889f4150a04ca791d78a5683a0a0fcf33754c805d65df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NXDU7YLRYOKTQBFJIQPH7PKDXH/bundle.json","state_url":"https://pith.science/pith/NXDU7YLRYOKTQBFJIQPH7PKDXH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NXDU7YLRYOKTQBFJIQPH7PKDXH/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":"2026-06-27T18:59:50Z","links":{"resolver":"https://pith.science/pith/NXDU7YLRYOKTQBFJIQPH7PKDXH","bundle":"https://pith.science/pith/NXDU7YLRYOKTQBFJIQPH7PKDXH/bundle.json","state":"https://pith.science/pith/NXDU7YLRYOKTQBFJIQPH7PKDXH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NXDU7YLRYOKTQBFJIQPH7PKDXH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NXDU7YLRYOKTQBFJIQPH7PKDXH","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":"a3446fff41bc77b08d4528a733b8b9c4fc000c38fa5c5315fd8a8259b2778f4c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-29T11:34:15Z","title_canon_sha256":"9c4077389122c3f389f1649c055c695c3cd5b45b08354e7d8da948c70f49bb87"},"schema_version":"1.0","source":{"id":"2605.31171","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31171","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31171v1","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31171","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"pith_short_12","alias_value":"NXDU7YLRYOKT","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"pith_short_16","alias_value":"NXDU7YLRYOKTQBFJ","created_at":"2026-06-01T01:04:02Z"},{"alias_kind":"pith_short_8","alias_value":"NXDU7YLR","created_at":"2026-06-01T01:04:02Z"}],"graph_snapshots":[{"event_id":"sha256:25e6289d88c4301758a889f4150a04ca791d78a5683a0a0fcf33754c805d65df","target":"graph","created_at":"2026-06-01T01:04:02Z","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/2605.31171/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multilingual Information Retrieval (MLIR) reflects real-world search environments in which queries and relevant documents may appear in different languages within a mixed-language corpus. However, existing embedding models are primarily optimized for Multi-Monolingual retrieval and their performance often degrades in MLIR settings. Moreover, directly applying conventional contrastive learning to MLIR can exacerbate language clustering and expose a trade-off between cross-lingual alignment and embedding uniformity. To address these limitations, we propose MIMO: Multilingual Information Retrieva","authors_text":"Heuiseok Lim, Seongtae Hong, Youngjoon Jang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-29T11:34:15Z","title":"MIMO: Multilingual Information Retrieval via Monolingual Objectives"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31171","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:b015bbdf6a78104dd0bfc118a68f4a75f6692ed5587f79982464c51f65dc23e7","target":"record","created_at":"2026-06-01T01:04:02Z","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":"a3446fff41bc77b08d4528a733b8b9c4fc000c38fa5c5315fd8a8259b2778f4c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-05-29T11:34:15Z","title_canon_sha256":"9c4077389122c3f389f1649c055c695c3cd5b45b08354e7d8da948c70f49bb87"},"schema_version":"1.0","source":{"id":"2605.31171","kind":"arxiv","version":1}},"canonical_sha256":"6dc74fe171c3953804a9441e7fbd43b9d152f29b496912b93bd973986e0ce821","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6dc74fe171c3953804a9441e7fbd43b9d152f29b496912b93bd973986e0ce821","first_computed_at":"2026-06-01T01:04:02.346122Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:04:02.346122Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4jNsMHjEPu1IlqxAi5Cm24wj6rN7ycecG09N3NKRO8CAQN17sfwfwaSgY88NaVIszTaRaN9VhCCthlQ5qur2BA==","signature_status":"signed_v1","signed_at":"2026-06-01T01:04:02.347005Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.31171","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b015bbdf6a78104dd0bfc118a68f4a75f6692ed5587f79982464c51f65dc23e7","sha256:25e6289d88c4301758a889f4150a04ca791d78a5683a0a0fcf33754c805d65df"],"state_sha256":"8525b441f42078642d27acadfd1b3d655c4c71aa1bb182bd44f8d635eb1df917"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TgPSDzy2v1yQVszcvivDs/HF55Meqsn6zJa+Ln/doAB90aZiKKbljz6jvpC6aAfkx3GbttngfSzfyd1HpJkbBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T18:59:50.944900Z","bundle_sha256":"25a906e317786f5fecd8d92a40534fcf3f533b88531952b7b22ae84b3eb4e10b"}}