{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EZWGNUSY6UICNKWNXFS35NXIQ2","short_pith_number":"pith:EZWGNUSY","canonical_record":{"source":{"id":"2505.20076","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T14:53:11Z","cross_cats_sorted":[],"title_canon_sha256":"9f226257372311423cdd3831690dbaed1d9b88d17f51a76482239ab5546def7b","abstract_canon_sha256":"6e7be2a5ab81bf338339c37d7fba4ffda50e42c016664eee8d6cb92d71c4cb32"},"schema_version":"1.0"},"canonical_sha256":"266c66d258f51026aacdb965beb6e8868569317f5e817dac9b30a5f1bdf51463","source":{"kind":"arxiv","id":"2505.20076","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20076","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20076v4","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20076","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"pith_short_12","alias_value":"EZWGNUSY6UIC","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"pith_short_16","alias_value":"EZWGNUSY6UICNKWN","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"pith_short_8","alias_value":"EZWGNUSY","created_at":"2026-06-12T01:09:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EZWGNUSY6UICNKWNXFS35NXIQ2","target":"record","payload":{"canonical_record":{"source":{"id":"2505.20076","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T14:53:11Z","cross_cats_sorted":[],"title_canon_sha256":"9f226257372311423cdd3831690dbaed1d9b88d17f51a76482239ab5546def7b","abstract_canon_sha256":"6e7be2a5ab81bf338339c37d7fba4ffda50e42c016664eee8d6cb92d71c4cb32"},"schema_version":"1.0"},"canonical_sha256":"266c66d258f51026aacdb965beb6e8868569317f5e817dac9b30a5f1bdf51463","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:09:09.336102Z","signature_b64":"RZawRK50YqthBafVjgfnveDXEdOEOipq3HOtze+MgVCOoe7rZYaW6qEfOq2SJZ9ogp3ukLzj0uad6nCsKqGvBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"266c66d258f51026aacdb965beb6e8868569317f5e817dac9b30a5f1bdf51463","last_reissued_at":"2026-06-12T01:09:09.334996Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:09:09.334996Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.20076","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":"2026-06-12T01:09:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NXqLWjZVawx9rH5gtCmn+EXVhlZPCcM0FmTvYC2xkazU2FsheOJ7AkDOlLUxPGhfOWoomnCMO4j/fMED3r0lAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T14:44:52.085427Z"},"content_sha256":"f36ba36a7b12f3eed081f271cfa09b435426cab1639c87569ab9662e7e83ba88","schema_version":"1.0","event_id":"sha256:f36ba36a7b12f3eed081f271cfa09b435426cab1639c87569ab9662e7e83ba88"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EZWGNUSY6UICNKWNXFS35NXIQ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Barbara Plank, Florian Eichin, Maria Matveev, Michael A. Hedderich, Philipp Mondorf, Yupei Du","submitted_at":"2025-05-26T14:53:11Z","abstract_excerpt":"Post-hoc interpretability methods typically attribute a model's behavior to its components, data, or training trajectory in isolation, and are often tied to a particular level of granularity along the local-to-global spectrum. This leads to explanations that lack a unified view and may miss key interactions. We present ExPLAIND, a theoretically grounded, unified framework that integrates model components, data, and training trajectory while supporting explanations across granularities. We generalize recent work on gradient path kernels, reformulating models trained by AdamW as kernel machines."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20076","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/2505.20076/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":"2026-06-12T01:09:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+9TvhUFM0NbuY7DERQamVfHwnvXK6V6lxCtsYJK1EqAOXNd63x317cFOhYXQy7QcobGtxFAyl9WFySdxwuZNDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T14:44:52.085820Z"},"content_sha256":"8559d94c8924e83bbd77f83ff2d8f340c6ac79470eeef89ea5d87fb705871ff4","schema_version":"1.0","event_id":"sha256:8559d94c8924e83bbd77f83ff2d8f340c6ac79470eeef89ea5d87fb705871ff4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EZWGNUSY6UICNKWNXFS35NXIQ2/bundle.json","state_url":"https://pith.science/pith/EZWGNUSY6UICNKWNXFS35NXIQ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EZWGNUSY6UICNKWNXFS35NXIQ2/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":"2026-06-26T14:44:52Z","links":{"resolver":"https://pith.science/pith/EZWGNUSY6UICNKWNXFS35NXIQ2","bundle":"https://pith.science/pith/EZWGNUSY6UICNKWNXFS35NXIQ2/bundle.json","state":"https://pith.science/pith/EZWGNUSY6UICNKWNXFS35NXIQ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EZWGNUSY6UICNKWNXFS35NXIQ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EZWGNUSY6UICNKWNXFS35NXIQ2","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":"6e7be2a5ab81bf338339c37d7fba4ffda50e42c016664eee8d6cb92d71c4cb32","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T14:53:11Z","title_canon_sha256":"9f226257372311423cdd3831690dbaed1d9b88d17f51a76482239ab5546def7b"},"schema_version":"1.0","source":{"id":"2505.20076","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.20076","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"arxiv_version","alias_value":"2505.20076v4","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.20076","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"pith_short_12","alias_value":"EZWGNUSY6UIC","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"pith_short_16","alias_value":"EZWGNUSY6UICNKWN","created_at":"2026-06-12T01:09:09Z"},{"alias_kind":"pith_short_8","alias_value":"EZWGNUSY","created_at":"2026-06-12T01:09:09Z"}],"graph_snapshots":[{"event_id":"sha256:8559d94c8924e83bbd77f83ff2d8f340c6ac79470eeef89ea5d87fb705871ff4","target":"graph","created_at":"2026-06-12T01:09:09Z","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/2505.20076/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Post-hoc interpretability methods typically attribute a model's behavior to its components, data, or training trajectory in isolation, and are often tied to a particular level of granularity along the local-to-global spectrum. This leads to explanations that lack a unified view and may miss key interactions. We present ExPLAIND, a theoretically grounded, unified framework that integrates model components, data, and training trajectory while supporting explanations across granularities. We generalize recent work on gradient path kernels, reformulating models trained by AdamW as kernel machines.","authors_text":"Barbara Plank, Florian Eichin, Maria Matveev, Michael A. Hedderich, Philipp Mondorf, Yupei Du","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T14:53:11Z","title":"ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.20076","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:f36ba36a7b12f3eed081f271cfa09b435426cab1639c87569ab9662e7e83ba88","target":"record","created_at":"2026-06-12T01:09:09Z","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":"6e7be2a5ab81bf338339c37d7fba4ffda50e42c016664eee8d6cb92d71c4cb32","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-26T14:53:11Z","title_canon_sha256":"9f226257372311423cdd3831690dbaed1d9b88d17f51a76482239ab5546def7b"},"schema_version":"1.0","source":{"id":"2505.20076","kind":"arxiv","version":4}},"canonical_sha256":"266c66d258f51026aacdb965beb6e8868569317f5e817dac9b30a5f1bdf51463","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"266c66d258f51026aacdb965beb6e8868569317f5e817dac9b30a5f1bdf51463","first_computed_at":"2026-06-12T01:09:09.334996Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:09:09.334996Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RZawRK50YqthBafVjgfnveDXEdOEOipq3HOtze+MgVCOoe7rZYaW6qEfOq2SJZ9ogp3ukLzj0uad6nCsKqGvBw==","signature_status":"signed_v1","signed_at":"2026-06-12T01:09:09.336102Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.20076","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f36ba36a7b12f3eed081f271cfa09b435426cab1639c87569ab9662e7e83ba88","sha256:8559d94c8924e83bbd77f83ff2d8f340c6ac79470eeef89ea5d87fb705871ff4"],"state_sha256":"cf38ce19c72bc322450275bb14274a9efa5cb2e984a04041fb53ccc9793c6859"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k7NGtLNLc4e/vYuvZc3urF6e3DmN956jVf7wVHMRbGxCNjfCAh9cLPQGRlDVbWpMBsiuuCfB3zOXgXph3PSECQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T14:44:52.087934Z","bundle_sha256":"117410ff39888b3f69f1ef7806fe0eeac16c7e9342ed36c52d00e55079e2b226"}}