{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:K5TXIHFXXZGRK7NEIGF3HPCWQN","short_pith_number":"pith:K5TXIHFX","canonical_record":{"source":{"id":"1809.00589","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-03T13:11:07Z","cross_cats_sorted":[],"title_canon_sha256":"87c8f1a7656944e6c81a187dd976accfbac70f2dce37d7dd00200860306d4838","abstract_canon_sha256":"3b126379899f7b7e09a74e702f08f6adec144dec9a01fa0c6ba19373813bf61e"},"schema_version":"1.0"},"canonical_sha256":"5767741cb7be4d157da4418bb3bc56836a011b5bea3afa7f85af1498818a0145","source":{"kind":"arxiv","id":"1809.00589","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.00589","created_at":"2026-05-18T00:06:33Z"},{"alias_kind":"arxiv_version","alias_value":"1809.00589v1","created_at":"2026-05-18T00:06:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.00589","created_at":"2026-05-18T00:06:33Z"},{"alias_kind":"pith_short_12","alias_value":"K5TXIHFXXZGR","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"K5TXIHFXXZGRK7NE","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"K5TXIHFX","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:K5TXIHFXXZGRK7NEIGF3HPCWQN","target":"record","payload":{"canonical_record":{"source":{"id":"1809.00589","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-03T13:11:07Z","cross_cats_sorted":[],"title_canon_sha256":"87c8f1a7656944e6c81a187dd976accfbac70f2dce37d7dd00200860306d4838","abstract_canon_sha256":"3b126379899f7b7e09a74e702f08f6adec144dec9a01fa0c6ba19373813bf61e"},"schema_version":"1.0"},"canonical_sha256":"5767741cb7be4d157da4418bb3bc56836a011b5bea3afa7f85af1498818a0145","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:33.083069Z","signature_b64":"PjsivgJ9sEkPADuuRJMF5jTvImvK9NA+K4AolBcI1pH0eutEFXu8jvAgwDKZOphSg+UavVsL6/+Bn6YG/BPTBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5767741cb7be4d157da4418bb3bc56836a011b5bea3afa7f85af1498818a0145","last_reissued_at":"2026-05-18T00:06:33.082474Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:33.082474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.00589","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":"2026-05-18T00:06:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JgNaQgP7YiAz+vYA8d+FXSdkreFvJrUepZFeM4wcSUjTmfT4QStEZHn0OgQ3S9oDBt/AZyOaKKZemx1OKMaeAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T00:03:48.666573Z"},"content_sha256":"037cb7d0ecd27a7b80c2aaa4a31c7ce712e3479b0acb42a6233a1302e01ade52","schema_version":"1.0","event_id":"sha256:037cb7d0ecd27a7b80c2aaa4a31c7ce712e3479b0acb42a6233a1302e01ade52"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:K5TXIHFXXZGRK7NEIGF3HPCWQN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Affordance Extraction and Inference based on Semantic Role Labeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Al\\'ipio M\\'ario Jorge, Daniel Loureiro","submitted_at":"2018-09-03T13:11:07Z","abstract_excerpt":"Common-sense reasoning is becoming increasingly important for the advancement of Natural Language Processing. While word embeddings have been very successful, they cannot explain which aspects of 'coffee' and 'tea' make them similar, or how they could be related to 'shop'. In this paper, we propose an explicit word representation that builds upon the Distributional Hypothesis to represent meaning from semantic roles, and allow inference of relations from their meshing, as supported by the affordance-based Indexical Hypothesis. We find that our model improves the state-of-the-art on unsupervise"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.00589","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":""},"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":"2026-05-18T00:06:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"guW16X+1DwjZL4qKwLim5BCyFTw4hYbQPNB20qROLS6BhyZFXAHqD3NQ7MQypI/afs2vy9L8szoaK5tkcUmGBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T00:03:48.666915Z"},"content_sha256":"a33ec9e575886dac75dffd9ef9e11b4790eca52d2cf263ee8edd10041ba61361","schema_version":"1.0","event_id":"sha256:a33ec9e575886dac75dffd9ef9e11b4790eca52d2cf263ee8edd10041ba61361"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K5TXIHFXXZGRK7NEIGF3HPCWQN/bundle.json","state_url":"https://pith.science/pith/K5TXIHFXXZGRK7NEIGF3HPCWQN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K5TXIHFXXZGRK7NEIGF3HPCWQN/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":"2026-06-30T00:03:48Z","links":{"resolver":"https://pith.science/pith/K5TXIHFXXZGRK7NEIGF3HPCWQN","bundle":"https://pith.science/pith/K5TXIHFXXZGRK7NEIGF3HPCWQN/bundle.json","state":"https://pith.science/pith/K5TXIHFXXZGRK7NEIGF3HPCWQN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K5TXIHFXXZGRK7NEIGF3HPCWQN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:K5TXIHFXXZGRK7NEIGF3HPCWQN","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":"3b126379899f7b7e09a74e702f08f6adec144dec9a01fa0c6ba19373813bf61e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-03T13:11:07Z","title_canon_sha256":"87c8f1a7656944e6c81a187dd976accfbac70f2dce37d7dd00200860306d4838"},"schema_version":"1.0","source":{"id":"1809.00589","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.00589","created_at":"2026-05-18T00:06:33Z"},{"alias_kind":"arxiv_version","alias_value":"1809.00589v1","created_at":"2026-05-18T00:06:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.00589","created_at":"2026-05-18T00:06:33Z"},{"alias_kind":"pith_short_12","alias_value":"K5TXIHFXXZGR","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"K5TXIHFXXZGRK7NE","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"K5TXIHFX","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:a33ec9e575886dac75dffd9ef9e11b4790eca52d2cf263ee8edd10041ba61361","target":"graph","created_at":"2026-05-18T00:06:33Z","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":"Common-sense reasoning is becoming increasingly important for the advancement of Natural Language Processing. While word embeddings have been very successful, they cannot explain which aspects of 'coffee' and 'tea' make them similar, or how they could be related to 'shop'. In this paper, we propose an explicit word representation that builds upon the Distributional Hypothesis to represent meaning from semantic roles, and allow inference of relations from their meshing, as supported by the affordance-based Indexical Hypothesis. We find that our model improves the state-of-the-art on unsupervise","authors_text":"Al\\'ipio M\\'ario Jorge, Daniel Loureiro","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-03T13:11:07Z","title":"Affordance Extraction and Inference based on Semantic Role Labeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.00589","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":"sha256:037cb7d0ecd27a7b80c2aaa4a31c7ce712e3479b0acb42a6233a1302e01ade52","target":"record","created_at":"2026-05-18T00:06:33Z","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":"3b126379899f7b7e09a74e702f08f6adec144dec9a01fa0c6ba19373813bf61e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-09-03T13:11:07Z","title_canon_sha256":"87c8f1a7656944e6c81a187dd976accfbac70f2dce37d7dd00200860306d4838"},"schema_version":"1.0","source":{"id":"1809.00589","kind":"arxiv","version":1}},"canonical_sha256":"5767741cb7be4d157da4418bb3bc56836a011b5bea3afa7f85af1498818a0145","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5767741cb7be4d157da4418bb3bc56836a011b5bea3afa7f85af1498818a0145","first_computed_at":"2026-05-18T00:06:33.082474Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:33.082474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PjsivgJ9sEkPADuuRJMF5jTvImvK9NA+K4AolBcI1pH0eutEFXu8jvAgwDKZOphSg+UavVsL6/+Bn6YG/BPTBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:33.083069Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.00589","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:037cb7d0ecd27a7b80c2aaa4a31c7ce712e3479b0acb42a6233a1302e01ade52","sha256:a33ec9e575886dac75dffd9ef9e11b4790eca52d2cf263ee8edd10041ba61361"],"state_sha256":"bff2a0b354713b4eab7da47ef19c99135f3d2a64d4dba32d52033d3ed554005e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CjmIBRJZm/668OM2PuGooyOSx3bvJdxq0tXLB6yXrRxYIRtLpW+n6Be/htfTi5EXJc5MBhR20X7MC7XNzA/gAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T00:03:48.668742Z","bundle_sha256":"abdcc5f844dea11ed61838b700c9b441b7b4b593246075df2db5e9bef533518d"}}