{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:FESI3GLA6KXHYWHTJWAPH2XULD","short_pith_number":"pith:FESI3GLA","canonical_record":{"source":{"id":"1802.04687","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-13T15:35:11Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6dbac215095c538fcadb7f9ab9b64591174b392313df027885fb332bc1b814bf","abstract_canon_sha256":"fbf2230649c55b2acd2464faae52a2bd984fa631f2733db2f7b817be8a17e011"},"schema_version":"1.0"},"canonical_sha256":"29248d9960f2ae7c58f34d80f3eaf458cfa08b37530c793fac7656657754046a","source":{"kind":"arxiv","id":"1802.04687","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.04687","created_at":"2026-05-18T00:14:06Z"},{"alias_kind":"arxiv_version","alias_value":"1802.04687v2","created_at":"2026-05-18T00:14:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.04687","created_at":"2026-05-18T00:14:06Z"},{"alias_kind":"pith_short_12","alias_value":"FESI3GLA6KXH","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"FESI3GLA6KXHYWHT","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"FESI3GLA","created_at":"2026-05-18T12:32:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:FESI3GLA6KXHYWHTJWAPH2XULD","target":"record","payload":{"canonical_record":{"source":{"id":"1802.04687","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-13T15:35:11Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6dbac215095c538fcadb7f9ab9b64591174b392313df027885fb332bc1b814bf","abstract_canon_sha256":"fbf2230649c55b2acd2464faae52a2bd984fa631f2733db2f7b817be8a17e011"},"schema_version":"1.0"},"canonical_sha256":"29248d9960f2ae7c58f34d80f3eaf458cfa08b37530c793fac7656657754046a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:06.340004Z","signature_b64":"5i06Zj8lR0EuZAgG0P+4ToUFJLRyqaKI0bM//5np7oJ5N+bbTGapCNUgZQDbZB9YkCEYFzldQfwa+pFCFTriCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29248d9960f2ae7c58f34d80f3eaf458cfa08b37530c793fac7656657754046a","last_reissued_at":"2026-05-18T00:14:06.339501Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:06.339501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.04687","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":"2026-05-18T00:14:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dCIloryYVDwsptRf+cR9pcEg8Y9rX9Q+2WXLHnK092Vyn9Zgui1WOoOaJiy3LmRciHi/akqjP71EIb+Qbb4PAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T20:58:57.532475Z"},"content_sha256":"3428e2d2f8f24adaa127f82ec9c5a02f7f8917062256271141a813c56d73c1f8","schema_version":"1.0","event_id":"sha256:3428e2d2f8f24adaa127f82ec9c5a02f7f8917062256271141a813c56d73c1f8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:FESI3GLA6KXHYWHTJWAPH2XULD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Relational Inference for Interacting Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard Zemel, Thomas Kipf","submitted_at":"2018-02-13T15:35:11Z","abstract_excerpt":"Interacting systems are prevalent in nature, from dynamical systems in physics to complex societal dynamics. The interplay of components can give rise to complex behavior, which can often be explained using a simple model of the system's constituent parts. In this work, we introduce the neural relational inference (NRI) model: an unsupervised model that learns to infer interactions while simultaneously learning the dynamics purely from observational data. Our model takes the form of a variational auto-encoder, in which the latent code represents the underlying interaction graph and the reconst"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.04687","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":""},"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":"2026-05-18T00:14:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W1bIKVtZztaBty4iWD+DiME0vFYGEtdC7aSUGyV6mfzpCMtanXIabVeskOOBRgVXnavg1FT2Zhvv5mPbNFUPBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T20:58:57.533188Z"},"content_sha256":"4efbff8313c2400ffdf2857a4e49bdc9a70c7cf4bef229b9bb9eda54d5833fbd","schema_version":"1.0","event_id":"sha256:4efbff8313c2400ffdf2857a4e49bdc9a70c7cf4bef229b9bb9eda54d5833fbd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FESI3GLA6KXHYWHTJWAPH2XULD/bundle.json","state_url":"https://pith.science/pith/FESI3GLA6KXHYWHTJWAPH2XULD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FESI3GLA6KXHYWHTJWAPH2XULD/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":"2026-05-24T20:58:57Z","links":{"resolver":"https://pith.science/pith/FESI3GLA6KXHYWHTJWAPH2XULD","bundle":"https://pith.science/pith/FESI3GLA6KXHYWHTJWAPH2XULD/bundle.json","state":"https://pith.science/pith/FESI3GLA6KXHYWHTJWAPH2XULD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FESI3GLA6KXHYWHTJWAPH2XULD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:FESI3GLA6KXHYWHTJWAPH2XULD","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":"fbf2230649c55b2acd2464faae52a2bd984fa631f2733db2f7b817be8a17e011","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-13T15:35:11Z","title_canon_sha256":"6dbac215095c538fcadb7f9ab9b64591174b392313df027885fb332bc1b814bf"},"schema_version":"1.0","source":{"id":"1802.04687","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.04687","created_at":"2026-05-18T00:14:06Z"},{"alias_kind":"arxiv_version","alias_value":"1802.04687v2","created_at":"2026-05-18T00:14:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.04687","created_at":"2026-05-18T00:14:06Z"},{"alias_kind":"pith_short_12","alias_value":"FESI3GLA6KXH","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_16","alias_value":"FESI3GLA6KXHYWHT","created_at":"2026-05-18T12:32:22Z"},{"alias_kind":"pith_short_8","alias_value":"FESI3GLA","created_at":"2026-05-18T12:32:22Z"}],"graph_snapshots":[{"event_id":"sha256:4efbff8313c2400ffdf2857a4e49bdc9a70c7cf4bef229b9bb9eda54d5833fbd","target":"graph","created_at":"2026-05-18T00:14:06Z","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"},"paper":{"abstract_excerpt":"Interacting systems are prevalent in nature, from dynamical systems in physics to complex societal dynamics. The interplay of components can give rise to complex behavior, which can often be explained using a simple model of the system's constituent parts. In this work, we introduce the neural relational inference (NRI) model: an unsupervised model that learns to infer interactions while simultaneously learning the dynamics purely from observational data. Our model takes the form of a variational auto-encoder, in which the latent code represents the underlying interaction graph and the reconst","authors_text":"Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard Zemel, Thomas Kipf","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-13T15:35:11Z","title":"Neural Relational Inference for Interacting Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.04687","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":"sha256:3428e2d2f8f24adaa127f82ec9c5a02f7f8917062256271141a813c56d73c1f8","target":"record","created_at":"2026-05-18T00:14:06Z","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":"fbf2230649c55b2acd2464faae52a2bd984fa631f2733db2f7b817be8a17e011","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-13T15:35:11Z","title_canon_sha256":"6dbac215095c538fcadb7f9ab9b64591174b392313df027885fb332bc1b814bf"},"schema_version":"1.0","source":{"id":"1802.04687","kind":"arxiv","version":2}},"canonical_sha256":"29248d9960f2ae7c58f34d80f3eaf458cfa08b37530c793fac7656657754046a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29248d9960f2ae7c58f34d80f3eaf458cfa08b37530c793fac7656657754046a","first_computed_at":"2026-05-18T00:14:06.339501Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:06.339501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5i06Zj8lR0EuZAgG0P+4ToUFJLRyqaKI0bM//5np7oJ5N+bbTGapCNUgZQDbZB9YkCEYFzldQfwa+pFCFTriCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:06.340004Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.04687","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3428e2d2f8f24adaa127f82ec9c5a02f7f8917062256271141a813c56d73c1f8","sha256:4efbff8313c2400ffdf2857a4e49bdc9a70c7cf4bef229b9bb9eda54d5833fbd"],"state_sha256":"0eeb7385ac190c3d8071ea7d71743fa6c641891b163050899d8cd0ddc29caa4a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tY/qqtHIHyqgRA03gM62jthDoBKM6nsmFCzreDBZo8FFWaSlv0TfAz4YPydm9+dfpUzeb6HAvB/nuj1AJ/bgAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T20:58:57.536996Z","bundle_sha256":"43db0397d41d762e4dab600791da1c757f4f0a432390f7e1c119bbcafdf18aab"}}