{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:FP76M6LC2IXOCOBJZ6VDGFYHLB","short_pith_number":"pith:FP76M6LC","schema_version":"1.0","canonical_sha256":"2bffe67962d22ee13829cfaa33170758473c27608a3f02635bc9bba56d11e577","source":{"kind":"arxiv","id":"2606.04935","version":1},"attestation_state":"computed","paper":{"title":"What Type of Inference is Active Inference?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bert de Vries, Mykola Lukashchuk, Thijs van de Laar, Wouter W. L. Nuijten","submitted_at":"2026-06-03T14:24:53Z","abstract_excerpt":"Active inference casts decision-making as inference, with the Expected Free Energy (EFE) unifying goal-directed and information-seeking behavior. Recent work showed that EFE minimization can be written as Variational Free Energy (VFE) minimization on a generative model augmented with epistemic priors. We prove that the VFE of the augmented model can be rewritten as the VFE of the predictive model plus explicit entropy-correction terms, making the EFE contribution transparent. We then show that proper EFE-based planning requires combining these epistemic corrections with a planning correction t"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.04935","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-06-03T14:24:53Z","cross_cats_sorted":[],"title_canon_sha256":"dc7b1ec94755c31559b8dac47d42c44a484de9bf3bb7e7227a3e1c3c51d300cc","abstract_canon_sha256":"3b426ee15f31d8889f44eb72c3555888c12581aa9148dbd89f525dd653cefd80"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:56.534893Z","signature_b64":"DLNOCFm9to8nMMOkhFmUeaJVFlDUneSpbRpyWm6n7bNHMyoOH6kXHRzuX6k8n6gHQEfWw8U40cx6hPI0ivkNDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2bffe67962d22ee13829cfaa33170758473c27608a3f02635bc9bba56d11e577","last_reissued_at":"2026-06-04T01:09:56.534227Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:56.534227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"What Type of Inference is Active Inference?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bert de Vries, Mykola Lukashchuk, Thijs van de Laar, Wouter W. L. Nuijten","submitted_at":"2026-06-03T14:24:53Z","abstract_excerpt":"Active inference casts decision-making as inference, with the Expected Free Energy (EFE) unifying goal-directed and information-seeking behavior. Recent work showed that EFE minimization can be written as Variational Free Energy (VFE) minimization on a generative model augmented with epistemic priors. We prove that the VFE of the augmented model can be rewritten as the VFE of the predictive model plus explicit entropy-correction terms, making the EFE contribution transparent. We then show that proper EFE-based planning requires combining these epistemic corrections with a planning correction t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04935","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/2606.04935/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.04935","created_at":"2026-06-04T01:09:56.534370+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.04935v1","created_at":"2026-06-04T01:09:56.534370+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04935","created_at":"2026-06-04T01:09:56.534370+00:00"},{"alias_kind":"pith_short_12","alias_value":"FP76M6LC2IXO","created_at":"2026-06-04T01:09:56.534370+00:00"},{"alias_kind":"pith_short_16","alias_value":"FP76M6LC2IXOCOBJ","created_at":"2026-06-04T01:09:56.534370+00:00"},{"alias_kind":"pith_short_8","alias_value":"FP76M6LC","created_at":"2026-06-04T01:09:56.534370+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB","json":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB.json","graph_json":"https://pith.science/api/pith-number/FP76M6LC2IXOCOBJZ6VDGFYHLB/graph.json","events_json":"https://pith.science/api/pith-number/FP76M6LC2IXOCOBJZ6VDGFYHLB/events.json","paper":"https://pith.science/paper/FP76M6LC"},"agent_actions":{"view_html":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB","download_json":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB.json","view_paper":"https://pith.science/paper/FP76M6LC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.04935&json=true","fetch_graph":"https://pith.science/api/pith-number/FP76M6LC2IXOCOBJZ6VDGFYHLB/graph.json","fetch_events":"https://pith.science/api/pith-number/FP76M6LC2IXOCOBJZ6VDGFYHLB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB/action/storage_attestation","attest_author":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB/action/author_attestation","sign_citation":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB/action/citation_signature","submit_replication":"https://pith.science/pith/FP76M6LC2IXOCOBJZ6VDGFYHLB/action/replication_record"}},"created_at":"2026-06-04T01:09:56.534370+00:00","updated_at":"2026-06-04T01:09:56.534370+00:00"}