{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:23GZ3SQDR6X4VM4B5QHXVTTWH2","short_pith_number":"pith:23GZ3SQD","canonical_record":{"source":{"id":"2401.11624","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-21T23:34:42Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"a3f8de371620cdfae6b4718abb935dc39ade5c72338bdd66bfd93b9bad439309","abstract_canon_sha256":"3dce4e83fcb099dd94d3e7b2153b2bd8987fa4f3ea7100d04cabf73ef5e31642"},"schema_version":"1.0"},"canonical_sha256":"d6cd9dca038fafcab381ec0f7ace763eb9f432c8cfab3830529412853208c75f","source":{"kind":"arxiv","id":"2401.11624","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.11624","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"arxiv_version","alias_value":"2401.11624v5","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.11624","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"pith_short_12","alias_value":"23GZ3SQDR6X4","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"pith_short_16","alias_value":"23GZ3SQDR6X4VM4B","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"pith_short_8","alias_value":"23GZ3SQD","created_at":"2026-07-05T08:00:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:23GZ3SQDR6X4VM4B5QHXVTTWH2","target":"record","payload":{"canonical_record":{"source":{"id":"2401.11624","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-21T23:34:42Z","cross_cats_sorted":["cs.AI","cs.IR"],"title_canon_sha256":"a3f8de371620cdfae6b4718abb935dc39ade5c72338bdd66bfd93b9bad439309","abstract_canon_sha256":"3dce4e83fcb099dd94d3e7b2153b2bd8987fa4f3ea7100d04cabf73ef5e31642"},"schema_version":"1.0"},"canonical_sha256":"d6cd9dca038fafcab381ec0f7ace763eb9f432c8cfab3830529412853208c75f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:00:00.394230Z","signature_b64":"uxfQ/qXezjKB1X1OOqrzYZL2c6KQGbrrc2BoqeQq9sSunzWqP2YhjvatA7r/exazvdK00dBATMILXJ4Ct+qpBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6cd9dca038fafcab381ec0f7ace763eb9f432c8cfab3830529412853208c75f","last_reissued_at":"2026-07-05T08:00:00.393701Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:00:00.393701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.11624","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:00:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oVLogTVLvGHvWKx8O+VuCz7rxPWOULt9nrNXvxsKtB5rzA6IIeuHUWKnu7GauxCER1P6pdRCEiqarxwZ+iSNBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T11:03:29.865312Z"},"content_sha256":"e6ab3274f59158118afa1f528b6abbe71449a98f8c6b90ea6defe5077e6f6aed","schema_version":"1.0","event_id":"sha256:e6ab3274f59158118afa1f528b6abbe71449a98f8c6b90ea6defe5077e6f6aed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:23GZ3SQDR6X4VM4B5QHXVTTWH2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"In-context Learning with Retrieved Demonstrations for Language Models: A Survey","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.IR"],"primary_cat":"cs.CL","authors_text":"Man Luo, Mehran Kazemi, Panupong Pasupat, Xin Xu, Yue Liu","submitted_at":"2024-01-21T23:34:42Z","abstract_excerpt":"Language models, especially pre-trained large language models, have showcased remarkable abilities as few-shot in-context learners (ICL), adept at adapting to new tasks with just a few demonstrations in the input context. However, the model's ability to perform ICL is sensitive to the choice of the few-shot demonstrations. Instead of using a fixed set of demonstrations, one recent development is to retrieve demonstrations tailored to each input query. The implementation of demonstration retrieval is relatively straightforward, leveraging existing databases and retrieval systems. This not only "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.11624","kind":"arxiv","version":5},"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/2401.11624/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":"2026-07-05T08:00:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IEPn4SQpDEBiyXzDrdb08NTQ4kabbp7jtY1xRFW/fEMFdcwJ7LMhKEAhSaUVzg43ztvUpITp2yF6mUs+DmFRDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T11:03:29.865981Z"},"content_sha256":"674c1666b197933c0039f5e2a3fb066e35505d3058512c6c17618d5e6163dd8a","schema_version":"1.0","event_id":"sha256:674c1666b197933c0039f5e2a3fb066e35505d3058512c6c17618d5e6163dd8a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/23GZ3SQDR6X4VM4B5QHXVTTWH2/bundle.json","state_url":"https://pith.science/pith/23GZ3SQDR6X4VM4B5QHXVTTWH2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/23GZ3SQDR6X4VM4B5QHXVTTWH2/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":"2026-08-10T11:03:29Z","links":{"resolver":"https://pith.science/pith/23GZ3SQDR6X4VM4B5QHXVTTWH2","bundle":"https://pith.science/pith/23GZ3SQDR6X4VM4B5QHXVTTWH2/bundle.json","state":"https://pith.science/pith/23GZ3SQDR6X4VM4B5QHXVTTWH2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/23GZ3SQDR6X4VM4B5QHXVTTWH2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:23GZ3SQDR6X4VM4B5QHXVTTWH2","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":"3dce4e83fcb099dd94d3e7b2153b2bd8987fa4f3ea7100d04cabf73ef5e31642","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-21T23:34:42Z","title_canon_sha256":"a3f8de371620cdfae6b4718abb935dc39ade5c72338bdd66bfd93b9bad439309"},"schema_version":"1.0","source":{"id":"2401.11624","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.11624","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"arxiv_version","alias_value":"2401.11624v5","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.11624","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"pith_short_12","alias_value":"23GZ3SQDR6X4","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"pith_short_16","alias_value":"23GZ3SQDR6X4VM4B","created_at":"2026-07-05T08:00:00Z"},{"alias_kind":"pith_short_8","alias_value":"23GZ3SQD","created_at":"2026-07-05T08:00:00Z"}],"graph_snapshots":[{"event_id":"sha256:674c1666b197933c0039f5e2a3fb066e35505d3058512c6c17618d5e6163dd8a","target":"graph","created_at":"2026-07-05T08:00:00Z","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/2401.11624/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Language models, especially pre-trained large language models, have showcased remarkable abilities as few-shot in-context learners (ICL), adept at adapting to new tasks with just a few demonstrations in the input context. However, the model's ability to perform ICL is sensitive to the choice of the few-shot demonstrations. Instead of using a fixed set of demonstrations, one recent development is to retrieve demonstrations tailored to each input query. The implementation of demonstration retrieval is relatively straightforward, leveraging existing databases and retrieval systems. This not only ","authors_text":"Man Luo, Mehran Kazemi, Panupong Pasupat, Xin Xu, Yue Liu","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-21T23:34:42Z","title":"In-context Learning with Retrieved Demonstrations for Language Models: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.11624","kind":"arxiv","version":5},"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:e6ab3274f59158118afa1f528b6abbe71449a98f8c6b90ea6defe5077e6f6aed","target":"record","created_at":"2026-07-05T08:00:00Z","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":"3dce4e83fcb099dd94d3e7b2153b2bd8987fa4f3ea7100d04cabf73ef5e31642","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-21T23:34:42Z","title_canon_sha256":"a3f8de371620cdfae6b4718abb935dc39ade5c72338bdd66bfd93b9bad439309"},"schema_version":"1.0","source":{"id":"2401.11624","kind":"arxiv","version":5}},"canonical_sha256":"d6cd9dca038fafcab381ec0f7ace763eb9f432c8cfab3830529412853208c75f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6cd9dca038fafcab381ec0f7ace763eb9f432c8cfab3830529412853208c75f","first_computed_at":"2026-07-05T08:00:00.393701Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:00:00.393701Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uxfQ/qXezjKB1X1OOqrzYZL2c6KQGbrrc2BoqeQq9sSunzWqP2YhjvatA7r/exazvdK00dBATMILXJ4Ct+qpBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:00:00.394230Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.11624","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e6ab3274f59158118afa1f528b6abbe71449a98f8c6b90ea6defe5077e6f6aed","sha256:674c1666b197933c0039f5e2a3fb066e35505d3058512c6c17618d5e6163dd8a"],"state_sha256":"5320189e5fc586a181f45df08b6cbe1a8e22c939eb303730252ddd0301718b41"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7BAEQDwwcwT9u5FNUmS/CJF+r9lpyDuv5IMY6X/YwXgOaV4LrirUz+jTievT3Sxvrs/0WATgqDjQENyyYRPsDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T11:03:29.870205Z","bundle_sha256":"bb2a1d2efb540e41c3265ef03211f1415d347a3d5cca8481cbb3f1787a540c6e"}}