{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BXXICCAGLDXWK5V7DESCBHINYX","short_pith_number":"pith:BXXICCAG","canonical_record":{"source":{"id":"2607.21774","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-23T19:42:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a8928fc77e9c5a8f585203282526de32d84316fe388dec47b889e245030ab72d","abstract_canon_sha256":"fbff1c2e121fb05d15efdd61e62b9069bcfe83ebe0feb0cc6fea542ca6bdd989"},"schema_version":"1.0"},"canonical_sha256":"0dee81080658ef6576bf1924209d0dc5dbdf7edef73b0d1b330eba1b095488f2","source":{"kind":"arxiv","id":"2607.21774","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21774","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21774v1","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21774","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"pith_short_12","alias_value":"BXXICCAGLDXW","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"pith_short_16","alias_value":"BXXICCAGLDXWK5V7","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"pith_short_8","alias_value":"BXXICCAG","created_at":"2026-07-27T00:20:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BXXICCAGLDXWK5V7DESCBHINYX","target":"record","payload":{"canonical_record":{"source":{"id":"2607.21774","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-23T19:42:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a8928fc77e9c5a8f585203282526de32d84316fe388dec47b889e245030ab72d","abstract_canon_sha256":"fbff1c2e121fb05d15efdd61e62b9069bcfe83ebe0feb0cc6fea542ca6bdd989"},"schema_version":"1.0"},"canonical_sha256":"0dee81080658ef6576bf1924209d0dc5dbdf7edef73b0d1b330eba1b095488f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T00:20:20.274917Z","signature_b64":"Cr8AlXTvmsJ9JpQAcWtrhyxwHTJCCN1Y7pbdTVwqXDoK8CTr84/wsv3zQUUOG05eACevSCjoJrHL2/XIJWNHCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0dee81080658ef6576bf1924209d0dc5dbdf7edef73b0d1b330eba1b095488f2","last_reissued_at":"2026-07-27T00:20:20.274089Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T00:20:20.274089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.21774","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":"2026-07-27T00:20:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QDSCXhj2h/KmxLPnSa6By4i2VtyHqd86t5VuHXtc1mMeWM//tjCNDnrjjbXxR0Z5kJPantj4GvnXBwFa3hpSBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T13:46:30.246960Z"},"content_sha256":"c80c7f906c82a79053b14c69ddb56080c948783b3f96a614600d55962f7fe79f","schema_version":"1.0","event_id":"sha256:c80c7f906c82a79053b14c69ddb56080c948783b3f96a614600d55962f7fe79f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BXXICCAGLDXWK5V7DESCBHINYX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Probing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Gilber Alexis Corrales Gallego, Jhoan Stevan Mosquera Ortiz, Mar\\'ia del Mar Garc\\'ia Matabanchoy, Nicol\\'as Lozano Mazuera, \\'Oscar Juli\\'an P\\'erez Ladino, Pablo Santiago Potes Velasco","submitted_at":"2026-07-23T19:42:59Z","abstract_excerpt":"Large language models may infer demographic attributes from subtle linguistic cues even when those attributes are not explicitly stated. This pilot study examines whether Qwen2.5-7B-Instruct internally represents Colombian identity, socioeconomic status, or stereotype-related information when processing Colombian-Spanish and English prompts. We use Natural Language Autoencoders (NLA) to verbalize residual-stream activations from layer 20 across four positional quartiles per prompt. Our dataset contains 30 prompts arranged as 15 matched Spanish-English pairs, spanning explicit Colombian cues, i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21774","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/2607.21774/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":"2026-07-27T00:20:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DqV/SHt2mstEfLDCubMMV2vb6N0RU42qQje1cSHhPZ6G5DKOu0cke6wvap0TgFVRsTeJ+5rmIFgirbBYjgL9Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T13:46:30.247542Z"},"content_sha256":"11d44e3c65e6ff24c3fffabe114d8de4b1551d1be85feddc9d89ed0cb470363f","schema_version":"1.0","event_id":"sha256:11d44e3c65e6ff24c3fffabe114d8de4b1551d1be85feddc9d89ed0cb470363f"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:BXXICCAGLDXWK5V7DESCBHINYX","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.18653/v1/2020.findings-emnlp.7) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"doi: 10.18653/v1/2020. findings-emnlp.7. URLhttp://dx.doi.org/10.18653/v1/2020.findings-emnlp.7. Anjali Kantharuban, Ivan Vuli´c, and Anna Korhonen. Quantifying the Dialect Gap and its Correlates Across Languages.Conference on Empirical Met","arxiv_id":"2607.21774","detector":"doi_compliance","evidence":{"ref_index":9,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.18653/v1/2020","reconstructed_doi":"10.18653/v1/2020.findings-emnlp.7"},"severity":"advisory","ref_index":9,"audited_at":"2026-08-01T06:58:38.203886Z","event_type":"pith.integrity.v1","detected_doi":"10.18653/v1/2020.findings-emnlp.7","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"fdc62faaf0ef85467f4b22f583b57f7c743ecba3dcb7775e709cbb5e6a60bd82","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":15328,"payload_sha256":"071258d3fe5258044b9930fcea25ee5b4673355ab3eafe292774ca234f6f84e0","signature_b64":"Q0LvGhzw3Fo2/Y6Fnfp2n/aRtGOyQtRBfiHgi7j3cuLCNwFlnjNvF8YFdWmAq4Db4+nYhs8AVoaBL0lNcZrNCw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-01T07:03:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/BWjCUHmdQcAsqB83yMFK7byEPqWBTMv51wyq54FFvwCX5pM55xQkt0jiQclouusVFbLrG6mrSds627PZi+5Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T13:46:30.250794Z"},"content_sha256":"a09c7a0802e8502d982e29cb72030a93e6e51f911fe0f88f76b216501f2c00da","schema_version":"1.0","event_id":"sha256:a09c7a0802e8502d982e29cb72030a93e6e51f911fe0f88f76b216501f2c00da"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BXXICCAGLDXWK5V7DESCBHINYX/bundle.json","state_url":"https://pith.science/pith/BXXICCAGLDXWK5V7DESCBHINYX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BXXICCAGLDXWK5V7DESCBHINYX/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":"2026-08-19T13:46:30Z","links":{"resolver":"https://pith.science/pith/BXXICCAGLDXWK5V7DESCBHINYX","bundle":"https://pith.science/pith/BXXICCAGLDXWK5V7DESCBHINYX/bundle.json","state":"https://pith.science/pith/BXXICCAGLDXWK5V7DESCBHINYX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BXXICCAGLDXWK5V7DESCBHINYX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BXXICCAGLDXWK5V7DESCBHINYX","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"fbff1c2e121fb05d15efdd61e62b9069bcfe83ebe0feb0cc6fea542ca6bdd989","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-23T19:42:59Z","title_canon_sha256":"a8928fc77e9c5a8f585203282526de32d84316fe388dec47b889e245030ab72d"},"schema_version":"1.0","source":{"id":"2607.21774","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21774","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21774v1","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21774","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"pith_short_12","alias_value":"BXXICCAGLDXW","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"pith_short_16","alias_value":"BXXICCAGLDXWK5V7","created_at":"2026-07-27T00:20:20Z"},{"alias_kind":"pith_short_8","alias_value":"BXXICCAG","created_at":"2026-07-27T00:20:20Z"}],"graph_snapshots":[{"event_id":"sha256:11d44e3c65e6ff24c3fffabe114d8de4b1551d1be85feddc9d89ed0cb470363f","target":"graph","created_at":"2026-07-27T00:20:20Z","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/2607.21774/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models may infer demographic attributes from subtle linguistic cues even when those attributes are not explicitly stated. This pilot study examines whether Qwen2.5-7B-Instruct internally represents Colombian identity, socioeconomic status, or stereotype-related information when processing Colombian-Spanish and English prompts. We use Natural Language Autoencoders (NLA) to verbalize residual-stream activations from layer 20 across four positional quartiles per prompt. Our dataset contains 30 prompts arranged as 15 matched Spanish-English pairs, spanning explicit Colombian cues, i","authors_text":"Gilber Alexis Corrales Gallego, Jhoan Stevan Mosquera Ortiz, Mar\\'ia del Mar Garc\\'ia Matabanchoy, Nicol\\'as Lozano Mazuera, \\'Oscar Juli\\'an P\\'erez Ladino, Pablo Santiago Potes Velasco","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-23T19:42:59Z","title":"Probing Latent Colombian Identity Inferences in Qwen2.5-7B with Natural Language Autoencoders"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21774","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:c80c7f906c82a79053b14c69ddb56080c948783b3f96a614600d55962f7fe79f","target":"record","created_at":"2026-07-27T00:20:20Z","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":"fbff1c2e121fb05d15efdd61e62b9069bcfe83ebe0feb0cc6fea542ca6bdd989","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-23T19:42:59Z","title_canon_sha256":"a8928fc77e9c5a8f585203282526de32d84316fe388dec47b889e245030ab72d"},"schema_version":"1.0","source":{"id":"2607.21774","kind":"arxiv","version":1}},"canonical_sha256":"0dee81080658ef6576bf1924209d0dc5dbdf7edef73b0d1b330eba1b095488f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0dee81080658ef6576bf1924209d0dc5dbdf7edef73b0d1b330eba1b095488f2","first_computed_at":"2026-07-27T00:20:20.274089Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-27T00:20:20.274089Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Cr8AlXTvmsJ9JpQAcWtrhyxwHTJCCN1Y7pbdTVwqXDoK8CTr84/wsv3zQUUOG05eACevSCjoJrHL2/XIJWNHCA==","signature_status":"signed_v1","signed_at":"2026-07-27T00:20:20.274917Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.21774","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c80c7f906c82a79053b14c69ddb56080c948783b3f96a614600d55962f7fe79f","sha256:11d44e3c65e6ff24c3fffabe114d8de4b1551d1be85feddc9d89ed0cb470363f","sha256:a09c7a0802e8502d982e29cb72030a93e6e51f911fe0f88f76b216501f2c00da"],"state_sha256":"4ee50fe9bb9a4b8d3f0f0c8c0f251a0302ff7650d2c6649c177e4afcadbb6f5c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5duZ3YZt5V5Oi8N6alAyLoC1VzrO1UPCFHHobe0qQDaQSs+nztnK3L8WjEQ0YiVyd58yOvIegEkR1qouc6bzDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T13:46:30.253494Z","bundle_sha256":"93e00a3152a84657072382ad4f9d631666a4484eff8bec46f140936538baf46f"}}