{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4I2DPAKDDYOPENQ7E3CEPJ7GEH","short_pith_number":"pith:4I2DPAKD","canonical_record":{"source":{"id":"2405.20331","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-30T17:59:04Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"439b2d6a7ce5391f83f7af7f6eb45de6894f2a5f21a4d403fae48bc92ebd2493","abstract_canon_sha256":"84d825e8e4a5f4a4f79adc3ca836f6d72b136efb5c66bef71f908bf606fc7325"},"schema_version":"1.0"},"canonical_sha256":"e2343781431e1cf2361f26c447a7e621ff02ee7d10356b0d439f2b1b6edb31f8","source":{"kind":"arxiv","id":"2405.20331","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.20331","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"arxiv_version","alias_value":"2405.20331v2","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.20331","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"pith_short_12","alias_value":"4I2DPAKDDYOP","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"pith_short_16","alias_value":"4I2DPAKDDYOPENQ7","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"pith_short_8","alias_value":"4I2DPAKD","created_at":"2026-07-05T09:44:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4I2DPAKDDYOPENQ7E3CEPJ7GEH","target":"record","payload":{"canonical_record":{"source":{"id":"2405.20331","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-30T17:59:04Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"439b2d6a7ce5391f83f7af7f6eb45de6894f2a5f21a4d403fae48bc92ebd2493","abstract_canon_sha256":"84d825e8e4a5f4a4f79adc3ca836f6d72b136efb5c66bef71f908bf606fc7325"},"schema_version":"1.0"},"canonical_sha256":"e2343781431e1cf2361f26c447a7e621ff02ee7d10356b0d439f2b1b6edb31f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:50.964526Z","signature_b64":"8NSRJVmRAo+Ygg6iw8UUF9zAKCRxvA/qJVoNkhge2Pi9YARBdQdPKtcwPGZmXzIrQtuWNUiFBL+sx7X+m2nKBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e2343781431e1cf2361f26c447a7e621ff02ee7d10356b0d439f2b1b6edb31f8","last_reissued_at":"2026-07-05T09:44:50.964012Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:50.964012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.20331","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:44:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cMdfQzhWpVsFNI6qZ78f+gYySbvPJj2fmEomMcOIIpPvCFLI/UBzCLb1xHWc4ZgQXHbokG4kpYCRoEJjAVBeDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T01:31:59.211294Z"},"content_sha256":"7433e5e68ebe2f9f25ec055b33127825a7c88a42768a791ea3b190b04244af6f","schema_version":"1.0","event_id":"sha256:7433e5e68ebe2f9f25ec055b33127825a7c88a42768a791ea3b190b04244af6f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4I2DPAKDDYOPENQ7E3CEPJ7GEH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoSy: Evaluating Textual Explanations of Neurons","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.LG","authors_text":"Anna Hedstr\\\"om, Kirill Bykov, Laura Kopf, Marina M.-C. H\\\"ohne, Philine Lou Bommer, Sebastian Lapuschkin","submitted_at":"2024-05-30T17:59:04Z","abstract_excerpt":"A crucial aspect of understanding the complex nature of Deep Neural Networks (DNNs) is the ability to explain learned concepts within their latent representations. While methods exist to connect neurons to human-understandable textual descriptions, evaluating the quality of these explanations is challenging due to the lack of a unified quantitative approach. We introduce CoSy (Concept Synthesis), a novel, architecture-agnostic framework for evaluating textual explanations of latent neurons. Given textual explanations, our proposed framework uses a generative model conditioned on textual input "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.20331","kind":"arxiv","version":2},"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/2405.20331/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":"2026-07-05T09:44:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YKgcRjbtFkL8BTl1nau+O0R6gKCsx7FXiBg+aYlqPbPmQxMU5K8hTMqKk7sL9jOSGll7x/23BKt6Sh5uqZYoAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T01:31:59.211799Z"},"content_sha256":"b532c7efc8fb299e2a90de7ab84c695ca21c1b69aedf5cedfbeaf2045f83d7a1","schema_version":"1.0","event_id":"sha256:b532c7efc8fb299e2a90de7ab84c695ca21c1b69aedf5cedfbeaf2045f83d7a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4I2DPAKDDYOPENQ7E3CEPJ7GEH/bundle.json","state_url":"https://pith.science/pith/4I2DPAKDDYOPENQ7E3CEPJ7GEH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4I2DPAKDDYOPENQ7E3CEPJ7GEH/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":"2026-08-11T01:31:59Z","links":{"resolver":"https://pith.science/pith/4I2DPAKDDYOPENQ7E3CEPJ7GEH","bundle":"https://pith.science/pith/4I2DPAKDDYOPENQ7E3CEPJ7GEH/bundle.json","state":"https://pith.science/pith/4I2DPAKDDYOPENQ7E3CEPJ7GEH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4I2DPAKDDYOPENQ7E3CEPJ7GEH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4I2DPAKDDYOPENQ7E3CEPJ7GEH","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":"84d825e8e4a5f4a4f79adc3ca836f6d72b136efb5c66bef71f908bf606fc7325","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-30T17:59:04Z","title_canon_sha256":"439b2d6a7ce5391f83f7af7f6eb45de6894f2a5f21a4d403fae48bc92ebd2493"},"schema_version":"1.0","source":{"id":"2405.20331","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.20331","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"arxiv_version","alias_value":"2405.20331v2","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.20331","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"pith_short_12","alias_value":"4I2DPAKDDYOP","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"pith_short_16","alias_value":"4I2DPAKDDYOPENQ7","created_at":"2026-07-05T09:44:50Z"},{"alias_kind":"pith_short_8","alias_value":"4I2DPAKD","created_at":"2026-07-05T09:44:50Z"}],"graph_snapshots":[{"event_id":"sha256:b532c7efc8fb299e2a90de7ab84c695ca21c1b69aedf5cedfbeaf2045f83d7a1","target":"graph","created_at":"2026-07-05T09:44:50Z","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/2405.20331/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A crucial aspect of understanding the complex nature of Deep Neural Networks (DNNs) is the ability to explain learned concepts within their latent representations. While methods exist to connect neurons to human-understandable textual descriptions, evaluating the quality of these explanations is challenging due to the lack of a unified quantitative approach. We introduce CoSy (Concept Synthesis), a novel, architecture-agnostic framework for evaluating textual explanations of latent neurons. Given textual explanations, our proposed framework uses a generative model conditioned on textual input ","authors_text":"Anna Hedstr\\\"om, Kirill Bykov, Laura Kopf, Marina M.-C. H\\\"ohne, Philine Lou Bommer, Sebastian Lapuschkin","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-30T17:59:04Z","title":"CoSy: Evaluating Textual Explanations of Neurons"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.20331","kind":"arxiv","version":2},"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":"sha256:7433e5e68ebe2f9f25ec055b33127825a7c88a42768a791ea3b190b04244af6f","target":"record","created_at":"2026-07-05T09:44:50Z","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":"84d825e8e4a5f4a4f79adc3ca836f6d72b136efb5c66bef71f908bf606fc7325","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-30T17:59:04Z","title_canon_sha256":"439b2d6a7ce5391f83f7af7f6eb45de6894f2a5f21a4d403fae48bc92ebd2493"},"schema_version":"1.0","source":{"id":"2405.20331","kind":"arxiv","version":2}},"canonical_sha256":"e2343781431e1cf2361f26c447a7e621ff02ee7d10356b0d439f2b1b6edb31f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2343781431e1cf2361f26c447a7e621ff02ee7d10356b0d439f2b1b6edb31f8","first_computed_at":"2026-07-05T09:44:50.964012Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:50.964012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8NSRJVmRAo+Ygg6iw8UUF9zAKCRxvA/qJVoNkhge2Pi9YARBdQdPKtcwPGZmXzIrQtuWNUiFBL+sx7X+m2nKBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:50.964526Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.20331","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7433e5e68ebe2f9f25ec055b33127825a7c88a42768a791ea3b190b04244af6f","sha256:b532c7efc8fb299e2a90de7ab84c695ca21c1b69aedf5cedfbeaf2045f83d7a1"],"state_sha256":"02db319f42f1ec5c9e5695ff7d8b877748579a5e4f97fa017286e56d5f950a69"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5LtpS5MjgEfkST7bXgG69gsyVbV0djh8CP9AlJm94eaa22UMU/UHp7I17y3tDDYpH5Osoc88BPr2fAqZo3tECg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T01:31:59.217153Z","bundle_sha256":"8e59f79577fdaeb0fba00e2f54439fee4ef58e46d0a2f7792249e1ffc65464ab"}}