{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:PCX6WI5R6HFCIUEGMRUT3YDWMM","short_pith_number":"pith:PCX6WI5R","canonical_record":{"source":{"id":"2111.13440","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-26T11:49:07Z","cross_cats_sorted":[],"title_canon_sha256":"d664960b8b54777f49dc37118d086b234fd1510e2e565aeeb5767ed66cfceab3","abstract_canon_sha256":"5e10fe5bcf535f8069745c04e92519b3a37af7b76366e2ce2aeb8fc3e4dc698d"},"schema_version":"1.0"},"canonical_sha256":"78afeb23b1f1ca24508664693de076631a36c2030ae03a490326d81064a6a8d4","source":{"kind":"arxiv","id":"2111.13440","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.13440","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"arxiv_version","alias_value":"2111.13440v1","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.13440","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"pith_short_12","alias_value":"PCX6WI5R6HFC","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"pith_short_16","alias_value":"PCX6WI5R6HFCIUEG","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"pith_short_8","alias_value":"PCX6WI5R","created_at":"2026-07-05T03:35:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:PCX6WI5R6HFCIUEGMRUT3YDWMM","target":"record","payload":{"canonical_record":{"source":{"id":"2111.13440","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-26T11:49:07Z","cross_cats_sorted":[],"title_canon_sha256":"d664960b8b54777f49dc37118d086b234fd1510e2e565aeeb5767ed66cfceab3","abstract_canon_sha256":"5e10fe5bcf535f8069745c04e92519b3a37af7b76366e2ce2aeb8fc3e4dc698d"},"schema_version":"1.0"},"canonical_sha256":"78afeb23b1f1ca24508664693de076631a36c2030ae03a490326d81064a6a8d4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:35:21.359799Z","signature_b64":"Hjp9VhPuD2nzoiq1znEjWxUdx5o6fDkJSkCQ/yyH8cZSZVw14cdP1UxHXLlsryArwBfep2RjxwWwod2ZA3ZaAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"78afeb23b1f1ca24508664693de076631a36c2030ae03a490326d81064a6a8d4","last_reissued_at":"2026-07-05T03:35:21.359402Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:35:21.359402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.13440","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":"2026-07-05T03:35:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EEYENHMlaTD6kXkAnz8BGMuDB/KiVf7mFmtPcg5/JI97s7MYGBMnTxdYJrCfiMrfOHORii9we4P9H0l0wLVPCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:28:59.017064Z"},"content_sha256":"0d34f53158e36709c1ebb101d74f80d353f4e62fdec0ba3f5774213673cda68f","schema_version":"1.0","event_id":"sha256:0d34f53158e36709c1ebb101d74f80d353f4e62fdec0ba3f5774213673cda68f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:PCX6WI5R6HFCIUEGMRUT3YDWMM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"True Few-Shot Learning with Prompts -- A Real-World Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hinrich Sch\\\"utze, Timo Schick","submitted_at":"2021-11-26T11:49:07Z","abstract_excerpt":"Prompt-based approaches are strong at few-shot learning. However, Perez et al. (2021) have recently cast doubt on their performance because they had difficulty getting good results in a \"true\" few-shot setting in which prompts and hyperparameters cannot be tuned on a dev set. In view of this, we conduct an extensive study of PET, a method that combines textual instructions with example-based finetuning. We show that, if correctly configured, PET performs strongly in a true few-shot setting, i.e., without a dev set. Crucial for this strong performance is PET's ability to intelligently handle mu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.13440","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/2111.13440/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":"2026-07-05T03:35:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z44fuSq9N2ILWE2TSishyw3NedcKirQtb8NN2KfroINDt6Sn1HFVlxEl/fbIm7ChOewp28Aa7UrOSd/yPdYmAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:28:59.018333Z"},"content_sha256":"dc757b0bb2182c2b0b684536aa5d4cb2e3912c63be14065296aaa9820921ad3a","schema_version":"1.0","event_id":"sha256:dc757b0bb2182c2b0b684536aa5d4cb2e3912c63be14065296aaa9820921ad3a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PCX6WI5R6HFCIUEGMRUT3YDWMM/bundle.json","state_url":"https://pith.science/pith/PCX6WI5R6HFCIUEGMRUT3YDWMM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PCX6WI5R6HFCIUEGMRUT3YDWMM/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":"2026-08-11T19:28:59Z","links":{"resolver":"https://pith.science/pith/PCX6WI5R6HFCIUEGMRUT3YDWMM","bundle":"https://pith.science/pith/PCX6WI5R6HFCIUEGMRUT3YDWMM/bundle.json","state":"https://pith.science/pith/PCX6WI5R6HFCIUEGMRUT3YDWMM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PCX6WI5R6HFCIUEGMRUT3YDWMM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PCX6WI5R6HFCIUEGMRUT3YDWMM","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":"5e10fe5bcf535f8069745c04e92519b3a37af7b76366e2ce2aeb8fc3e4dc698d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-26T11:49:07Z","title_canon_sha256":"d664960b8b54777f49dc37118d086b234fd1510e2e565aeeb5767ed66cfceab3"},"schema_version":"1.0","source":{"id":"2111.13440","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.13440","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"arxiv_version","alias_value":"2111.13440v1","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.13440","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"pith_short_12","alias_value":"PCX6WI5R6HFC","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"pith_short_16","alias_value":"PCX6WI5R6HFCIUEG","created_at":"2026-07-05T03:35:21Z"},{"alias_kind":"pith_short_8","alias_value":"PCX6WI5R","created_at":"2026-07-05T03:35:21Z"}],"graph_snapshots":[{"event_id":"sha256:dc757b0bb2182c2b0b684536aa5d4cb2e3912c63be14065296aaa9820921ad3a","target":"graph","created_at":"2026-07-05T03:35:21Z","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/2111.13440/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt-based approaches are strong at few-shot learning. However, Perez et al. (2021) have recently cast doubt on their performance because they had difficulty getting good results in a \"true\" few-shot setting in which prompts and hyperparameters cannot be tuned on a dev set. In view of this, we conduct an extensive study of PET, a method that combines textual instructions with example-based finetuning. We show that, if correctly configured, PET performs strongly in a true few-shot setting, i.e., without a dev set. Crucial for this strong performance is PET's ability to intelligently handle mu","authors_text":"Hinrich Sch\\\"utze, Timo Schick","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-26T11:49:07Z","title":"True Few-Shot Learning with Prompts -- A Real-World Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.13440","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":"sha256:0d34f53158e36709c1ebb101d74f80d353f4e62fdec0ba3f5774213673cda68f","target":"record","created_at":"2026-07-05T03:35:21Z","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":"5e10fe5bcf535f8069745c04e92519b3a37af7b76366e2ce2aeb8fc3e4dc698d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-11-26T11:49:07Z","title_canon_sha256":"d664960b8b54777f49dc37118d086b234fd1510e2e565aeeb5767ed66cfceab3"},"schema_version":"1.0","source":{"id":"2111.13440","kind":"arxiv","version":1}},"canonical_sha256":"78afeb23b1f1ca24508664693de076631a36c2030ae03a490326d81064a6a8d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"78afeb23b1f1ca24508664693de076631a36c2030ae03a490326d81064a6a8d4","first_computed_at":"2026-07-05T03:35:21.359402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:35:21.359402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Hjp9VhPuD2nzoiq1znEjWxUdx5o6fDkJSkCQ/yyH8cZSZVw14cdP1UxHXLlsryArwBfep2RjxwWwod2ZA3ZaAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:35:21.359799Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.13440","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d34f53158e36709c1ebb101d74f80d353f4e62fdec0ba3f5774213673cda68f","sha256:dc757b0bb2182c2b0b684536aa5d4cb2e3912c63be14065296aaa9820921ad3a"],"state_sha256":"199e3f8a7705992ceeb05131b663fba58d585f5c758611cb262f3af4c1cb35b1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2U9ihGERDxFM/iInx/dQJs3IdODNaV+PvGzuwUfUKTTAlUWpxf3OQaKIzecquM/9uwbEGjMeGR11JhoZY5CADg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T19:28:59.027057Z","bundle_sha256":"24dccade3900f3edc8fb25ce0ca945b39146dc6b6bfe8468879843e33d5e25b0"}}