{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JPNHJ4UPVSEEMNHPU64FD26SB2","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":"53279a15db461acd95357a2cfd8da074dbe37eb4d1485cc4e64c6f43854aa44b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T01:38:23Z","title_canon_sha256":"c24e113092d291c1a83e0e54123b66cd6d07c5ec730400a0617938fbfb1ad7e7"},"schema_version":"1.0","source":{"id":"2607.18618","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.18618","created_at":"2026-07-22T00:22:57Z"},{"alias_kind":"arxiv_version","alias_value":"2607.18618v1","created_at":"2026-07-22T00:22:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.18618","created_at":"2026-07-22T00:22:57Z"},{"alias_kind":"pith_short_12","alias_value":"JPNHJ4UPVSEE","created_at":"2026-07-22T00:22:57Z"},{"alias_kind":"pith_short_16","alias_value":"JPNHJ4UPVSEEMNHP","created_at":"2026-07-22T00:22:57Z"},{"alias_kind":"pith_short_8","alias_value":"JPNHJ4UP","created_at":"2026-07-22T00:22:57Z"}],"graph_snapshots":[{"event_id":"sha256:be61aa7a7691ce1d918c30b76442d340f1caf4a672e273977727836033c4b8f6","target":"graph","created_at":"2026-07-22T00:22:57Z","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/2607.18618/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Latent-reasoning looped language models (LoopLMs) offer a different scaling path for machine translation (MT): instead of increasing parameter count or emitting explicit chain-of-thought tokens, they spend additional recurrent computation inside hidden states. We introduce LatentMT, the first systematic study of latent-reasoning LoopLMs for machine translation. LatentMT adapts a small 2.6B-parameter backbone model with lightweight training. Across 32 translation directions spanning high-, mid-, and low-resource languages, LatentMT achieves performance comparable to models three to five times l","authors_text":"Chiyu Zhang, Muhammad Abdul-Mageed, Samar M. Magdy, Wei-Rui Chen, Wenhui Zhu, Zhipeng Wang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T01:38:23Z","title":"LatentMT: Machine Translation with Latent Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.18618","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":"sha256:1273d1d63ca54534c5ce87eb7bf134d6e44d8b5ce47866a725ec4078fde6d938","target":"record","created_at":"2026-07-22T00:22:57Z","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":"53279a15db461acd95357a2cfd8da074dbe37eb4d1485cc4e64c6f43854aa44b","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T01:38:23Z","title_canon_sha256":"c24e113092d291c1a83e0e54123b66cd6d07c5ec730400a0617938fbfb1ad7e7"},"schema_version":"1.0","source":{"id":"2607.18618","kind":"arxiv","version":1}},"canonical_sha256":"4bda74f28fac884634efa7b851ebd20eac117ff2b291ded858879e7e5a9f261e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bda74f28fac884634efa7b851ebd20eac117ff2b291ded858879e7e5a9f261e","first_computed_at":"2026-07-22T00:22:57.036535Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-22T00:22:57.036535Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iBQhXqcCYVjiamSak+R1+E+fnVosxM5ZI0XUlKzj4gHxIVjIoWdzbUZ3ahiLYnx3Cn67Pg1w6zc4LmOy9DiVDA==","signature_status":"signed_v1","signed_at":"2026-07-22T00:22:57.037349Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.18618","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1273d1d63ca54534c5ce87eb7bf134d6e44d8b5ce47866a725ec4078fde6d938","sha256:be61aa7a7691ce1d918c30b76442d340f1caf4a672e273977727836033c4b8f6"],"state_sha256":"79ac76f07e735a79fcdb9a47294ed70790ff142ad02490e8452778b02c90694c"}