{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QRQMM7SAIMDGA2QIDZGCMVCHFO","short_pith_number":"pith:QRQMM7SA","canonical_record":{"source":{"id":"2405.14660","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T14:57:52Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"9befd7551ce9566aa29c1f86d9b564efd0bb39f036c85dfa7bb63f19c50c8803","abstract_canon_sha256":"b3fa08ed30393bd9213aed4cc3a22907d4897164cee6a8116c7a0fcd4f526227"},"schema_version":"1.0"},"canonical_sha256":"8460c67e404306606a081e4c2654472bb167df2418ae158cf7363ae8d67fb627","source":{"kind":"arxiv","id":"2405.14660","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14660","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14660v2","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14660","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"pith_short_12","alias_value":"QRQMM7SAIMDG","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"pith_short_16","alias_value":"QRQMM7SAIMDGA2QI","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"pith_short_8","alias_value":"QRQMM7SA","created_at":"2026-07-05T10:19:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QRQMM7SAIMDGA2QIDZGCMVCHFO","target":"record","payload":{"canonical_record":{"source":{"id":"2405.14660","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T14:57:52Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"9befd7551ce9566aa29c1f86d9b564efd0bb39f036c85dfa7bb63f19c50c8803","abstract_canon_sha256":"b3fa08ed30393bd9213aed4cc3a22907d4897164cee6a8116c7a0fcd4f526227"},"schema_version":"1.0"},"canonical_sha256":"8460c67e404306606a081e4c2654472bb167df2418ae158cf7363ae8d67fb627","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:24.305336Z","signature_b64":"txDNeGk34hw6ecEfdtr9aDCiJs4P1hKAGHpbgpFg0Vp37bvhnEJQJJzuBACEyJCGxf+y87uJNuqF60EwW4DuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8460c67e404306606a081e4c2654472bb167df2418ae158cf7363ae8d67fb627","last_reissued_at":"2026-07-05T10:19:24.304809Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:24.304809Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.14660","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DwZe8IM+ycek/UZO9t+hS6TRqihI+YFzNkVifl1Oaomj/jf2Ckf7SELCWaq/iQd5b+yCMnnTUhIBy9VYM07WCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T02:28:48.630955Z"},"content_sha256":"c2c12d55871ecc788bd7ccd20581989c2ef321917735b53385addd427d07a96d","schema_version":"1.0","event_id":"sha256:c2c12d55871ecc788bd7ccd20581989c2ef321917735b53385addd427d07a96d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QRQMM7SAIMDGA2QIDZGCMVCHFO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Implicit In-context Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Di Liu, Dimitris N. Metaxas, Hao Wang, Ligong Han, Song Wen, Yunhe Gao, Zhuowei Li, Zihao Xu","submitted_at":"2024-05-23T14:57:52Z","abstract_excerpt":"In-context Learning (ICL) empowers large language models (LLMs) to swiftly adapt to unseen tasks at inference-time by prefixing a few demonstration examples before queries. Despite its versatility, ICL incurs substantial computational and memory overheads compared to zero-shot learning and is sensitive to the selection and order of demonstration examples. In this work, we introduce Implicit In-context Learning (I2CL), an innovative paradigm that reduces the inference cost of ICL to that of zero-shot learning with minimal information loss. I2CL operates by first generating a condensed vector re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14660","kind":"arxiv","version":2},"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/2405.14660/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":"2026-07-05T10:19:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DC8TpVTSZY/2fgGYYQjclvCqXTebZEO79PcAyxi62S2o+ty7j2BJkhtRwRIzNBaN1MM6JzY5gfV5gXa5/DN/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T02:28:48.631521Z"},"content_sha256":"4e03f3a68b92d6d545cfb548cc70e1be1ca2f1802471d91643ed47eb5582cb52","schema_version":"1.0","event_id":"sha256:4e03f3a68b92d6d545cfb548cc70e1be1ca2f1802471d91643ed47eb5582cb52"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QRQMM7SAIMDGA2QIDZGCMVCHFO/bundle.json","state_url":"https://pith.science/pith/QRQMM7SAIMDGA2QIDZGCMVCHFO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QRQMM7SAIMDGA2QIDZGCMVCHFO/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":"2026-08-11T02:28:48Z","links":{"resolver":"https://pith.science/pith/QRQMM7SAIMDGA2QIDZGCMVCHFO","bundle":"https://pith.science/pith/QRQMM7SAIMDGA2QIDZGCMVCHFO/bundle.json","state":"https://pith.science/pith/QRQMM7SAIMDGA2QIDZGCMVCHFO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QRQMM7SAIMDGA2QIDZGCMVCHFO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QRQMM7SAIMDGA2QIDZGCMVCHFO","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":"b3fa08ed30393bd9213aed4cc3a22907d4897164cee6a8116c7a0fcd4f526227","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T14:57:52Z","title_canon_sha256":"9befd7551ce9566aa29c1f86d9b564efd0bb39f036c85dfa7bb63f19c50c8803"},"schema_version":"1.0","source":{"id":"2405.14660","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14660","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14660v2","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14660","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"pith_short_12","alias_value":"QRQMM7SAIMDG","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"pith_short_16","alias_value":"QRQMM7SAIMDGA2QI","created_at":"2026-07-05T10:19:24Z"},{"alias_kind":"pith_short_8","alias_value":"QRQMM7SA","created_at":"2026-07-05T10:19:24Z"}],"graph_snapshots":[{"event_id":"sha256:4e03f3a68b92d6d545cfb548cc70e1be1ca2f1802471d91643ed47eb5582cb52","target":"graph","created_at":"2026-07-05T10:19:24Z","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/2405.14660/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-context Learning (ICL) empowers large language models (LLMs) to swiftly adapt to unseen tasks at inference-time by prefixing a few demonstration examples before queries. Despite its versatility, ICL incurs substantial computational and memory overheads compared to zero-shot learning and is sensitive to the selection and order of demonstration examples. In this work, we introduce Implicit In-context Learning (I2CL), an innovative paradigm that reduces the inference cost of ICL to that of zero-shot learning with minimal information loss. I2CL operates by first generating a condensed vector re","authors_text":"Di Liu, Dimitris N. Metaxas, Hao Wang, Ligong Han, Song Wen, Yunhe Gao, Zhuowei Li, Zihao Xu","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T14:57:52Z","title":"Implicit In-context Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14660","kind":"arxiv","version":2},"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:c2c12d55871ecc788bd7ccd20581989c2ef321917735b53385addd427d07a96d","target":"record","created_at":"2026-07-05T10:19:24Z","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":"b3fa08ed30393bd9213aed4cc3a22907d4897164cee6a8116c7a0fcd4f526227","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-23T14:57:52Z","title_canon_sha256":"9befd7551ce9566aa29c1f86d9b564efd0bb39f036c85dfa7bb63f19c50c8803"},"schema_version":"1.0","source":{"id":"2405.14660","kind":"arxiv","version":2}},"canonical_sha256":"8460c67e404306606a081e4c2654472bb167df2418ae158cf7363ae8d67fb627","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8460c67e404306606a081e4c2654472bb167df2418ae158cf7363ae8d67fb627","first_computed_at":"2026-07-05T10:19:24.304809Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:24.304809Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"txDNeGk34hw6ecEfdtr9aDCiJs4P1hKAGHpbgpFg0Vp37bvhnEJQJJzuBACEyJCGxf+y87uJNuqF60EwW4DuAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:24.305336Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14660","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2c12d55871ecc788bd7ccd20581989c2ef321917735b53385addd427d07a96d","sha256:4e03f3a68b92d6d545cfb548cc70e1be1ca2f1802471d91643ed47eb5582cb52"],"state_sha256":"ddff8e47750384a43992cd22027faaab0677fa365ed7ca9ba88b20d23e0ef3af"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"69H2GQ6WXc7dkEZz7/e+DZIfs9cr7pHFA/UHQyvUeJq63eadjfGEPZUk2u3bH3F1kGCiVSAEY1ppHwspATeOBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T02:28:48.635680Z","bundle_sha256":"3491eda11234d36a49ffa916334d445a31ac351dd0504ce93d6ea8f3528c6439"}}