{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:RARVG6BKEPY4FBTRW6BCOPYKKW","short_pith_number":"pith:RARVG6BK","canonical_record":{"source":{"id":"2311.05922","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-10T08:12:00Z","cross_cats_sorted":[],"title_canon_sha256":"0a1c43080ae61254fce7870c7a30611c4b12c8d66411b68f8d7f8ee5579ed809","abstract_canon_sha256":"f024fc58643e8910003edd76289899ef0a5491d559d3ef1b2717461142ee39f5"},"schema_version":"1.0"},"canonical_sha256":"882353782a23f1c28671b782273f0a559052bd67ce399f40ad5d81a58e0b1730","source":{"kind":"arxiv","id":"2311.05922","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05922","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05922v3","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05922","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_12","alias_value":"RARVG6BKEPY4","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_16","alias_value":"RARVG6BKEPY4FBTR","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_8","alias_value":"RARVG6BK","created_at":"2026-07-05T07:53:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:RARVG6BKEPY4FBTRW6BCOPYKKW","target":"record","payload":{"canonical_record":{"source":{"id":"2311.05922","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-10T08:12:00Z","cross_cats_sorted":[],"title_canon_sha256":"0a1c43080ae61254fce7870c7a30611c4b12c8d66411b68f8d7f8ee5579ed809","abstract_canon_sha256":"f024fc58643e8910003edd76289899ef0a5491d559d3ef1b2717461142ee39f5"},"schema_version":"1.0"},"canonical_sha256":"882353782a23f1c28671b782273f0a559052bd67ce399f40ad5d81a58e0b1730","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:53:32.032115Z","signature_b64":"OWAk9bebJ5vbKRfv6nP/wMlV+YjK2jk+xaeifyHr/WselyKQs+Dimygg6WbWvpEXV++PclEffBn0F5iJ/tohDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"882353782a23f1c28671b782273f0a559052bd67ce399f40ad5d81a58e0b1730","last_reissued_at":"2026-07-05T07:53:32.031733Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:53:32.031733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.05922","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:53:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2dwfQO5993ziXgmBNQqtLoPXnjOwsTONz/N0AYt3TZHd296l5ca0ZmksiI7NPZOyEyoFngHY8viIKwR4PruKCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:35:08.651664Z"},"content_sha256":"08cd256c1e8355a100ee5949e5d36f16b925016258d0e98627baf7f61cf315cf","schema_version":"1.0","event_id":"sha256:08cd256c1e8355a100ee5949e5d36f16b925016258d0e98627baf7f61cf315cf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:RARVG6BKEPY4FBTRW6BCOPYKKW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jing Li, Min Zhang, Xilai Ma","submitted_at":"2023-11-10T08:12:00Z","abstract_excerpt":"Few-shot relation extraction involves identifying the type of relationship between two specific entities within a text, using a limited number of annotated samples. A variety of solutions to this problem have emerged by applying meta-learning and neural graph techniques which typically necessitate a training process for adaptation. Recently, the strategy of in-context learning has been demonstrating notable results without the need of training. Few studies have already utilized in-context learning for zero-shot information extraction. Unfortunately, the evidence for inference is either not con"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05922","kind":"arxiv","version":3},"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/2311.05922/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":"2026-07-05T07:53:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TmE8DCDx753KG0loC5vEByvU7XURZfAnRLbDV0nr8PKbsiJehZxLBTmdXZG9bHbUncnacO2VSxOQUTiud2vVCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T22:35:08.652151Z"},"content_sha256":"f47e52ab4ac56860f5771e52903847914e666cc231b7f11b5c8b908946ee7a33","schema_version":"1.0","event_id":"sha256:f47e52ab4ac56860f5771e52903847914e666cc231b7f11b5c8b908946ee7a33"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RARVG6BKEPY4FBTRW6BCOPYKKW/bundle.json","state_url":"https://pith.science/pith/RARVG6BKEPY4FBTRW6BCOPYKKW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RARVG6BKEPY4FBTRW6BCOPYKKW/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":"2026-08-05T22:35:08Z","links":{"resolver":"https://pith.science/pith/RARVG6BKEPY4FBTRW6BCOPYKKW","bundle":"https://pith.science/pith/RARVG6BKEPY4FBTRW6BCOPYKKW/bundle.json","state":"https://pith.science/pith/RARVG6BKEPY4FBTRW6BCOPYKKW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RARVG6BKEPY4FBTRW6BCOPYKKW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RARVG6BKEPY4FBTRW6BCOPYKKW","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":"f024fc58643e8910003edd76289899ef0a5491d559d3ef1b2717461142ee39f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-10T08:12:00Z","title_canon_sha256":"0a1c43080ae61254fce7870c7a30611c4b12c8d66411b68f8d7f8ee5579ed809"},"schema_version":"1.0","source":{"id":"2311.05922","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.05922","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"arxiv_version","alias_value":"2311.05922v3","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.05922","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_12","alias_value":"RARVG6BKEPY4","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_16","alias_value":"RARVG6BKEPY4FBTR","created_at":"2026-07-05T07:53:32Z"},{"alias_kind":"pith_short_8","alias_value":"RARVG6BK","created_at":"2026-07-05T07:53:32Z"}],"graph_snapshots":[{"event_id":"sha256:f47e52ab4ac56860f5771e52903847914e666cc231b7f11b5c8b908946ee7a33","target":"graph","created_at":"2026-07-05T07:53:32Z","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/2311.05922/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Few-shot relation extraction involves identifying the type of relationship between two specific entities within a text, using a limited number of annotated samples. A variety of solutions to this problem have emerged by applying meta-learning and neural graph techniques which typically necessitate a training process for adaptation. Recently, the strategy of in-context learning has been demonstrating notable results without the need of training. Few studies have already utilized in-context learning for zero-shot information extraction. Unfortunately, the evidence for inference is either not con","authors_text":"Jing Li, Min Zhang, Xilai Ma","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-10T08:12:00Z","title":"Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.05922","kind":"arxiv","version":3},"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":"sha256:08cd256c1e8355a100ee5949e5d36f16b925016258d0e98627baf7f61cf315cf","target":"record","created_at":"2026-07-05T07:53:32Z","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":"f024fc58643e8910003edd76289899ef0a5491d559d3ef1b2717461142ee39f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-11-10T08:12:00Z","title_canon_sha256":"0a1c43080ae61254fce7870c7a30611c4b12c8d66411b68f8d7f8ee5579ed809"},"schema_version":"1.0","source":{"id":"2311.05922","kind":"arxiv","version":3}},"canonical_sha256":"882353782a23f1c28671b782273f0a559052bd67ce399f40ad5d81a58e0b1730","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"882353782a23f1c28671b782273f0a559052bd67ce399f40ad5d81a58e0b1730","first_computed_at":"2026-07-05T07:53:32.031733Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:53:32.031733Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OWAk9bebJ5vbKRfv6nP/wMlV+YjK2jk+xaeifyHr/WselyKQs+Dimygg6WbWvpEXV++PclEffBn0F5iJ/tohDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:53:32.032115Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.05922","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08cd256c1e8355a100ee5949e5d36f16b925016258d0e98627baf7f61cf315cf","sha256:f47e52ab4ac56860f5771e52903847914e666cc231b7f11b5c8b908946ee7a33"],"state_sha256":"c32f50f4609c1ac9536719aa3805271e540e4ab572160580c30b5bef18c36903"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IpBFfrSlUDxNajxisBZWKLfzK8zUMc1p4n2fXNiRcsI9rEMdS8LEzNm3XAbCPLlOKrlJZPp9vcumyo2KKSfsBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T22:35:08.655476Z","bundle_sha256":"8fbbeb17b26dba4a48f57611064f70c21a5f0f866aeed01c81b466c3524f0adf"}}