{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SUOIMB5ODDHF6LT7TD2VLRNXKP","short_pith_number":"pith:SUOIMB5O","canonical_record":{"source":{"id":"2005.00782","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-05-02T10:36:55Z","cross_cats_sorted":["cs.AI","cs.LO"],"title_canon_sha256":"36b9db572e957eb0b0f8291f8d1212048512bbfa2b6aeea62e786c7820e0e8d5","abstract_canon_sha256":"8e6bee05764d6ce294422e6352ca4a00475fe87804f05e380a5782e62bee3fbb"},"schema_version":"1.0"},"canonical_sha256":"951c8607ae18ce5f2e7f98f555c5b753d9b353d18ead90b718b2aec8c39756ad","source":{"kind":"arxiv","id":"2005.00782","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.00782","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"arxiv_version","alias_value":"2005.00782v4","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.00782","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"pith_short_12","alias_value":"SUOIMB5ODDHF","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"pith_short_16","alias_value":"SUOIMB5ODDHF6LT7","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"pith_short_8","alias_value":"SUOIMB5O","created_at":"2026-07-05T03:13:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SUOIMB5ODDHF6LT7TD2VLRNXKP","target":"record","payload":{"canonical_record":{"source":{"id":"2005.00782","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-05-02T10:36:55Z","cross_cats_sorted":["cs.AI","cs.LO"],"title_canon_sha256":"36b9db572e957eb0b0f8291f8d1212048512bbfa2b6aeea62e786c7820e0e8d5","abstract_canon_sha256":"8e6bee05764d6ce294422e6352ca4a00475fe87804f05e380a5782e62bee3fbb"},"schema_version":"1.0"},"canonical_sha256":"951c8607ae18ce5f2e7f98f555c5b753d9b353d18ead90b718b2aec8c39756ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:13:00.045114Z","signature_b64":"V/wwA3jlHjN25704bNZmC+eHiozUbpjpDLKO16F/qaTim/FjZVxwcl9uZ9Z0Ts894YjG3Yi+sZyiDMxYovMqCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"951c8607ae18ce5f2e7f98f555c5b753d9b353d18ead90b718b2aec8c39756ad","last_reissued_at":"2026-07-05T03:13:00.044659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:13:00.044659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.00782","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:13:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"52K9DNYJH/pa5fQixlNjJL5M/hwP8LkNvdSIJEuF8EQKVHAOw/DDjS1SlAXk1swR9hSRWADs4x5Np10KUaO2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T15:12:50.318013Z"},"content_sha256":"a0e3a7adb1f9135f1ef59fb87a37855ffda3349080e4c3a0c41a3288a5da4a8f","schema_version":"1.0","event_id":"sha256:a0e3a7adb1f9135f1ef59fb87a37855ffda3349080e4c3a0c41a3288a5da4a8f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SUOIMB5ODDHF6LT7TD2VLRNXKP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LO"],"primary_cat":"cs.CL","authors_text":"Bill Yuchen Lin, Daniel Ho, Jay Pujara, Pei Zhou, Rahul Khanna, Seyeon Lee, Xiang Ren","submitted_at":"2020-05-02T10:36:55Z","abstract_excerpt":"Pre-trained language models (PTLMs) have achieved impressive performance on commonsense inference benchmarks, but their ability to employ commonsense to make robust inferences, which is crucial for effective communications with humans, is debated. In the pursuit of advancing fluid human-AI communication, we propose a new challenge, RICA: Robust Inference capability based on Commonsense Axioms, that evaluates robust commonsense inference despite textual perturbations. To generate data for this challenge, we develop a systematic and scalable procedure using commonsense knowledge bases and probe "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.00782","kind":"arxiv","version":4},"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/2005.00782/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":"2026-07-05T03:13:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"edIvPc3UwL5df4HF0XtO6kZO3FPRHSTzOUReXR/hHgiYbEjix2BYhfUfB44AsW7d0ZN4FE1ZxAErGRxMfO3bBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-19T15:12:50.318410Z"},"content_sha256":"9bb6635d2dc40e0f6c447e039faa568f40574359394293ff242ee4c5822284a5","schema_version":"1.0","event_id":"sha256:9bb6635d2dc40e0f6c447e039faa568f40574359394293ff242ee4c5822284a5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SUOIMB5ODDHF6LT7TD2VLRNXKP/bundle.json","state_url":"https://pith.science/pith/SUOIMB5ODDHF6LT7TD2VLRNXKP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SUOIMB5ODDHF6LT7TD2VLRNXKP/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":"2026-07-19T15:12:50Z","links":{"resolver":"https://pith.science/pith/SUOIMB5ODDHF6LT7TD2VLRNXKP","bundle":"https://pith.science/pith/SUOIMB5ODDHF6LT7TD2VLRNXKP/bundle.json","state":"https://pith.science/pith/SUOIMB5ODDHF6LT7TD2VLRNXKP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SUOIMB5ODDHF6LT7TD2VLRNXKP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SUOIMB5ODDHF6LT7TD2VLRNXKP","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":"8e6bee05764d6ce294422e6352ca4a00475fe87804f05e380a5782e62bee3fbb","cross_cats_sorted":["cs.AI","cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-05-02T10:36:55Z","title_canon_sha256":"36b9db572e957eb0b0f8291f8d1212048512bbfa2b6aeea62e786c7820e0e8d5"},"schema_version":"1.0","source":{"id":"2005.00782","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.00782","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"arxiv_version","alias_value":"2005.00782v4","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.00782","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"pith_short_12","alias_value":"SUOIMB5ODDHF","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"pith_short_16","alias_value":"SUOIMB5ODDHF6LT7","created_at":"2026-07-05T03:13:00Z"},{"alias_kind":"pith_short_8","alias_value":"SUOIMB5O","created_at":"2026-07-05T03:13:00Z"}],"graph_snapshots":[{"event_id":"sha256:9bb6635d2dc40e0f6c447e039faa568f40574359394293ff242ee4c5822284a5","target":"graph","created_at":"2026-07-05T03:13:00Z","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/2005.00782/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pre-trained language models (PTLMs) have achieved impressive performance on commonsense inference benchmarks, but their ability to employ commonsense to make robust inferences, which is crucial for effective communications with humans, is debated. In the pursuit of advancing fluid human-AI communication, we propose a new challenge, RICA: Robust Inference capability based on Commonsense Axioms, that evaluates robust commonsense inference despite textual perturbations. To generate data for this challenge, we develop a systematic and scalable procedure using commonsense knowledge bases and probe ","authors_text":"Bill Yuchen Lin, Daniel Ho, Jay Pujara, Pei Zhou, Rahul Khanna, Seyeon Lee, Xiang Ren","cross_cats":["cs.AI","cs.LO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-05-02T10:36:55Z","title":"RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.00782","kind":"arxiv","version":4},"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:a0e3a7adb1f9135f1ef59fb87a37855ffda3349080e4c3a0c41a3288a5da4a8f","target":"record","created_at":"2026-07-05T03:13:00Z","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":"8e6bee05764d6ce294422e6352ca4a00475fe87804f05e380a5782e62bee3fbb","cross_cats_sorted":["cs.AI","cs.LO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-05-02T10:36:55Z","title_canon_sha256":"36b9db572e957eb0b0f8291f8d1212048512bbfa2b6aeea62e786c7820e0e8d5"},"schema_version":"1.0","source":{"id":"2005.00782","kind":"arxiv","version":4}},"canonical_sha256":"951c8607ae18ce5f2e7f98f555c5b753d9b353d18ead90b718b2aec8c39756ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"951c8607ae18ce5f2e7f98f555c5b753d9b353d18ead90b718b2aec8c39756ad","first_computed_at":"2026-07-05T03:13:00.044659Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:13:00.044659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V/wwA3jlHjN25704bNZmC+eHiozUbpjpDLKO16F/qaTim/FjZVxwcl9uZ9Z0Ts894YjG3Yi+sZyiDMxYovMqCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:13:00.045114Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.00782","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0e3a7adb1f9135f1ef59fb87a37855ffda3349080e4c3a0c41a3288a5da4a8f","sha256:9bb6635d2dc40e0f6c447e039faa568f40574359394293ff242ee4c5822284a5"],"state_sha256":"ef292c9128a19d6400dc5ae6437e46ef2d1fb1881a9d29ab083aa8f2149b8d0f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NrrUSb80XKlVbuHgrCvWK0wD04viQC9MDRE6vNS19XuA61gVD7eWV+5MU4kvq6mdf18DGfMWcInVUCyBxTlNDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-19T15:12:50.322113Z","bundle_sha256":"ffc8662c3a544f1baf92aaf7cd96672e832ff5e613d90ae6a38836a8513b5666"}}