{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:2DAFY5ASAHNTIOMDH3VE3IG2DH","short_pith_number":"pith:2DAFY5AS","canonical_record":{"source":{"id":"2308.13067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-24T20:23:13Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"2b07d4fee4b34bf646756bcc53f03c79213ba701ee8d06b1e9aa85eb20f454be","abstract_canon_sha256":"0ef08435e736ffcf621f1f0302d1a6a0577a6e1c2a4ec241afb84e3630245c92"},"schema_version":"1.0"},"canonical_sha256":"d0c05c741201db3439833eea4da0da19e60609ce67b3b5713e554eca912db056","source":{"kind":"arxiv","id":"2308.13067","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.13067","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"arxiv_version","alias_value":"2308.13067v1","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.13067","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"pith_short_12","alias_value":"2DAFY5ASAHNT","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"pith_short_16","alias_value":"2DAFY5ASAHNTIOMD","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"pith_short_8","alias_value":"2DAFY5AS","created_at":"2026-07-05T06:44:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:2DAFY5ASAHNTIOMDH3VE3IG2DH","target":"record","payload":{"canonical_record":{"source":{"id":"2308.13067","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-24T20:23:13Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"2b07d4fee4b34bf646756bcc53f03c79213ba701ee8d06b1e9aa85eb20f454be","abstract_canon_sha256":"0ef08435e736ffcf621f1f0302d1a6a0577a6e1c2a4ec241afb84e3630245c92"},"schema_version":"1.0"},"canonical_sha256":"d0c05c741201db3439833eea4da0da19e60609ce67b3b5713e554eca912db056","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:44:38.106191Z","signature_b64":"O41kzcZurNEvaupjuSVNVBz5y829FOLb3afc+I57fiwlN1vIMR05N9zdBVj7oZ90GoVbQpDTxGx0+9YNmkQKBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d0c05c741201db3439833eea4da0da19e60609ce67b3b5713e554eca912db056","last_reissued_at":"2026-07-05T06:44:38.105711Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:44:38.105711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.13067","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":"2026-07-05T06:44:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/S54jYaZiSDPgFVWn7PPb5SQaUZUmeZ645J0s6CdxRVQvqJVrF0u6RnCeYGG9L3yRM9C6f6MrcCiblzYk9oYCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T14:29:37.294973Z"},"content_sha256":"a4d6c44744ac0cbc1d86a0d783618819a7943774d56300f5f03a893a2eb1f221","schema_version":"1.0","event_id":"sha256:a4d6c44744ac0cbc1d86a0d783618819a7943774d56300f5f03a893a2eb1f221"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:2DAFY5ASAHNTIOMDH3VE3IG2DH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Causal Parrots: Large Language Models May Talk Causality But Are Not Causal","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Devendra Singh Dhami, Kristian Kersting, Matej Ze\\v{c}evi\\'c, Moritz Willig","submitted_at":"2023-08-24T20:23:13Z","abstract_excerpt":"Some argue scale is all what is needed to achieve AI, covering even causal models. We make it clear that large language models (LLMs) cannot be causal and give reason onto why sometimes we might feel otherwise. To this end, we define and exemplify a new subgroup of Structural Causal Model (SCM) that we call meta SCM which encode causal facts about other SCM within their variables. We conjecture that in the cases where LLM succeed in doing causal inference, underlying was a respective meta SCM that exposed correlations between causal facts in natural language on whose data the LLM was ultimatel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.13067","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/2308.13067/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":"2026-07-05T06:44:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YcG4sqWziJRYoJgLBlcc82RFujVtTbbF68+yDoch9V4JkICQfsAZI1fr2ta8JKih1lhBDI4CXugObOCe5MTrAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T14:29:37.295357Z"},"content_sha256":"a4e4255c1aafbfafdf489d01c502b86412ff73504371466d784d19e42ea2633e","schema_version":"1.0","event_id":"sha256:a4e4255c1aafbfafdf489d01c502b86412ff73504371466d784d19e42ea2633e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2DAFY5ASAHNTIOMDH3VE3IG2DH/bundle.json","state_url":"https://pith.science/pith/2DAFY5ASAHNTIOMDH3VE3IG2DH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2DAFY5ASAHNTIOMDH3VE3IG2DH/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":"2026-07-10T14:29:37Z","links":{"resolver":"https://pith.science/pith/2DAFY5ASAHNTIOMDH3VE3IG2DH","bundle":"https://pith.science/pith/2DAFY5ASAHNTIOMDH3VE3IG2DH/bundle.json","state":"https://pith.science/pith/2DAFY5ASAHNTIOMDH3VE3IG2DH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2DAFY5ASAHNTIOMDH3VE3IG2DH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2DAFY5ASAHNTIOMDH3VE3IG2DH","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":"0ef08435e736ffcf621f1f0302d1a6a0577a6e1c2a4ec241afb84e3630245c92","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-24T20:23:13Z","title_canon_sha256":"2b07d4fee4b34bf646756bcc53f03c79213ba701ee8d06b1e9aa85eb20f454be"},"schema_version":"1.0","source":{"id":"2308.13067","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.13067","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"arxiv_version","alias_value":"2308.13067v1","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.13067","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"pith_short_12","alias_value":"2DAFY5ASAHNT","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"pith_short_16","alias_value":"2DAFY5ASAHNTIOMD","created_at":"2026-07-05T06:44:38Z"},{"alias_kind":"pith_short_8","alias_value":"2DAFY5AS","created_at":"2026-07-05T06:44:38Z"}],"graph_snapshots":[{"event_id":"sha256:a4e4255c1aafbfafdf489d01c502b86412ff73504371466d784d19e42ea2633e","target":"graph","created_at":"2026-07-05T06:44:38Z","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/2308.13067/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Some argue scale is all what is needed to achieve AI, covering even causal models. We make it clear that large language models (LLMs) cannot be causal and give reason onto why sometimes we might feel otherwise. To this end, we define and exemplify a new subgroup of Structural Causal Model (SCM) that we call meta SCM which encode causal facts about other SCM within their variables. We conjecture that in the cases where LLM succeed in doing causal inference, underlying was a respective meta SCM that exposed correlations between causal facts in natural language on whose data the LLM was ultimatel","authors_text":"Devendra Singh Dhami, Kristian Kersting, Matej Ze\\v{c}evi\\'c, Moritz Willig","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-24T20:23:13Z","title":"Causal Parrots: Large Language Models May Talk Causality But Are Not Causal"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.13067","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:a4d6c44744ac0cbc1d86a0d783618819a7943774d56300f5f03a893a2eb1f221","target":"record","created_at":"2026-07-05T06:44:38Z","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":"0ef08435e736ffcf621f1f0302d1a6a0577a6e1c2a4ec241afb84e3630245c92","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-08-24T20:23:13Z","title_canon_sha256":"2b07d4fee4b34bf646756bcc53f03c79213ba701ee8d06b1e9aa85eb20f454be"},"schema_version":"1.0","source":{"id":"2308.13067","kind":"arxiv","version":1}},"canonical_sha256":"d0c05c741201db3439833eea4da0da19e60609ce67b3b5713e554eca912db056","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d0c05c741201db3439833eea4da0da19e60609ce67b3b5713e554eca912db056","first_computed_at":"2026-07-05T06:44:38.105711Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:44:38.105711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O41kzcZurNEvaupjuSVNVBz5y829FOLb3afc+I57fiwlN1vIMR05N9zdBVj7oZ90GoVbQpDTxGx0+9YNmkQKBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:44:38.106191Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.13067","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4d6c44744ac0cbc1d86a0d783618819a7943774d56300f5f03a893a2eb1f221","sha256:a4e4255c1aafbfafdf489d01c502b86412ff73504371466d784d19e42ea2633e"],"state_sha256":"9be53046d8cfa71598f6b41d418930e3704cd12e5066cb55754851c7c9347f1d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SSB6O95+n99JUzTs+vRpTT2gV7RFEi4Ip4js1AW0XhcuAszzyddvZXTyhRSjoAjSg5K+TAPuw1v7PLs1gKiVBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T14:29:37.297776Z","bundle_sha256":"5322dc2678463c17b3242fa35932101b4d4caf29241007cc9b6a7db4638a5ade"}}