{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:2BX4YSLBUQQMBBFJ7D3GVVYEOR","short_pith_number":"pith:2BX4YSLB","canonical_record":{"source":{"id":"2203.13112","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-24T15:11:06Z","cross_cats_sorted":[],"title_canon_sha256":"e63d76919779ec2b47ddd12e29a5714dc58b842a9df393771046e7da35642f61","abstract_canon_sha256":"f52b93c3cca9fbeb21d6faf6b94f4cd536fdd7ba378c02f5020d721e3ab11afd"},"schema_version":"1.0"},"canonical_sha256":"d06fcc4961a420c084a9f8f66ad7047440d7addaacf54138eceb1d3b8a1a2b65","source":{"kind":"arxiv","id":"2203.13112","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13112","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13112v1","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13112","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"pith_short_12","alias_value":"2BX4YSLBUQQM","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"pith_short_16","alias_value":"2BX4YSLBUQQMBBFJ","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"pith_short_8","alias_value":"2BX4YSLB","created_at":"2026-07-05T04:08:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:2BX4YSLBUQQMBBFJ7D3GVVYEOR","target":"record","payload":{"canonical_record":{"source":{"id":"2203.13112","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-24T15:11:06Z","cross_cats_sorted":[],"title_canon_sha256":"e63d76919779ec2b47ddd12e29a5714dc58b842a9df393771046e7da35642f61","abstract_canon_sha256":"f52b93c3cca9fbeb21d6faf6b94f4cd536fdd7ba378c02f5020d721e3ab11afd"},"schema_version":"1.0"},"canonical_sha256":"d06fcc4961a420c084a9f8f66ad7047440d7addaacf54138eceb1d3b8a1a2b65","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:08:20.691214Z","signature_b64":"Kyqn3k+jnHrAFjYqWw77gnu7WueZ6ySX9YtIL2QBtMDMzT/kzUQzherbPdEAXvNRc2k2Z1/joyrhnGzGYvD9BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d06fcc4961a420c084a9f8f66ad7047440d7addaacf54138eceb1d3b8a1a2b65","last_reissued_at":"2026-07-05T04:08:20.690798Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:08:20.690798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.13112","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":"2026-07-05T04:08:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i1E9ZV7GXrxR9xn5GH+rj6mbCmdigl+Vee5U62cwJ4aAypPt+aRVRsDgTU64fDLCzav7tOYrrhvM/mrg5XMTAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:03:38.756148Z"},"content_sha256":"e926bba3984580abc45c829c95355f617b4eed6533e9f48e41c1e99dc58c4df2","schema_version":"1.0","event_id":"sha256:e926bba3984580abc45c829c95355f617b4eed6533e9f48e41c1e99dc58c4df2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:2BX4YSLBUQQMBBFJ7D3GVVYEOR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Kanishka Misra","submitted_at":"2022-03-24T15:11:06Z","abstract_excerpt":"We present minicons, an open source library that provides a standard API for researchers interested in conducting behavioral and representational analyses of transformer-based language models (LMs). Specifically, minicons enables researchers to apply analysis methods at two levels: (1) at the prediction level -- by providing functions to efficiently extract word/sentence level probabilities; and (2) at the representational level -- by also facilitating efficient extraction of word/phrase level vectors from one or more layers. In this paper, we describe the library and apply it to two motivatin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13112","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/2203.13112/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":"2026-07-05T04:08:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FgcMa0GDmc/9UksLC50WH66QTPA/D/5yJXNljW4a8PvOCbGwx7WT+xmuiYclkWudWpdy+Ac1KsEJBC9uVSKJDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:03:38.756650Z"},"content_sha256":"3b5bd0e37ad2b375a1f0d3eef90065542440d3e26ffb6d0289e048fbf7a2ec7f","schema_version":"1.0","event_id":"sha256:3b5bd0e37ad2b375a1f0d3eef90065542440d3e26ffb6d0289e048fbf7a2ec7f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2BX4YSLBUQQMBBFJ7D3GVVYEOR/bundle.json","state_url":"https://pith.science/pith/2BX4YSLBUQQMBBFJ7D3GVVYEOR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2BX4YSLBUQQMBBFJ7D3GVVYEOR/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":"2026-08-08T07:03:38Z","links":{"resolver":"https://pith.science/pith/2BX4YSLBUQQMBBFJ7D3GVVYEOR","bundle":"https://pith.science/pith/2BX4YSLBUQQMBBFJ7D3GVVYEOR/bundle.json","state":"https://pith.science/pith/2BX4YSLBUQQMBBFJ7D3GVVYEOR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2BX4YSLBUQQMBBFJ7D3GVVYEOR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:2BX4YSLBUQQMBBFJ7D3GVVYEOR","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":"f52b93c3cca9fbeb21d6faf6b94f4cd536fdd7ba378c02f5020d721e3ab11afd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-24T15:11:06Z","title_canon_sha256":"e63d76919779ec2b47ddd12e29a5714dc58b842a9df393771046e7da35642f61"},"schema_version":"1.0","source":{"id":"2203.13112","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13112","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13112v1","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13112","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"pith_short_12","alias_value":"2BX4YSLBUQQM","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"pith_short_16","alias_value":"2BX4YSLBUQQMBBFJ","created_at":"2026-07-05T04:08:20Z"},{"alias_kind":"pith_short_8","alias_value":"2BX4YSLB","created_at":"2026-07-05T04:08:20Z"}],"graph_snapshots":[{"event_id":"sha256:3b5bd0e37ad2b375a1f0d3eef90065542440d3e26ffb6d0289e048fbf7a2ec7f","target":"graph","created_at":"2026-07-05T04:08:20Z","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/2203.13112/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present minicons, an open source library that provides a standard API for researchers interested in conducting behavioral and representational analyses of transformer-based language models (LMs). Specifically, minicons enables researchers to apply analysis methods at two levels: (1) at the prediction level -- by providing functions to efficiently extract word/sentence level probabilities; and (2) at the representational level -- by also facilitating efficient extraction of word/phrase level vectors from one or more layers. In this paper, we describe the library and apply it to two motivatin","authors_text":"Kanishka Misra","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-24T15:11:06Z","title":"minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13112","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:e926bba3984580abc45c829c95355f617b4eed6533e9f48e41c1e99dc58c4df2","target":"record","created_at":"2026-07-05T04:08:20Z","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":"f52b93c3cca9fbeb21d6faf6b94f4cd536fdd7ba378c02f5020d721e3ab11afd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-03-24T15:11:06Z","title_canon_sha256":"e63d76919779ec2b47ddd12e29a5714dc58b842a9df393771046e7da35642f61"},"schema_version":"1.0","source":{"id":"2203.13112","kind":"arxiv","version":1}},"canonical_sha256":"d06fcc4961a420c084a9f8f66ad7047440d7addaacf54138eceb1d3b8a1a2b65","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d06fcc4961a420c084a9f8f66ad7047440d7addaacf54138eceb1d3b8a1a2b65","first_computed_at":"2026-07-05T04:08:20.690798Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:08:20.690798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Kyqn3k+jnHrAFjYqWw77gnu7WueZ6ySX9YtIL2QBtMDMzT/kzUQzherbPdEAXvNRc2k2Z1/joyrhnGzGYvD9BA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:08:20.691214Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.13112","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e926bba3984580abc45c829c95355f617b4eed6533e9f48e41c1e99dc58c4df2","sha256:3b5bd0e37ad2b375a1f0d3eef90065542440d3e26ffb6d0289e048fbf7a2ec7f"],"state_sha256":"dedfd9d617f91571f392fdf5c18535465de92f8e6a2182e7ee20aca3491da943"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TkwMm0Aov/1HH55DypbqRi6p1eUN0pGfpe6UCzilpIqRQxQ2fRxMsHw4uPld1wmJRUXviO2QBp4NeGmdcNpWCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:03:38.761955Z","bundle_sha256":"106514d6ad2bcb8242d6bc8562439d412aee816b014e7820c3164a7190cb4acd"}}