{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BM5XC2HXRFMTTYBNJS4LVXCTLK","short_pith_number":"pith:BM5XC2HX","canonical_record":{"source":{"id":"1901.02184","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-08T07:23:05Z","cross_cats_sorted":[],"title_canon_sha256":"c78e0ed5e405d3084e17e96b54e86e34ad3ddb72234931594b35afee5e87a103","abstract_canon_sha256":"033e1b6d549c51be9802e077abe2ce189fddfba1f0c0d6003d9ff1cec8cc883b"},"schema_version":"1.0"},"canonical_sha256":"0b3b7168f7895939e02d4cb8badc535a914938c5a30dbecff1cc4b981fad7b39","source":{"kind":"arxiv","id":"1901.02184","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02184","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02184v1","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02184","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"pith_short_12","alias_value":"BM5XC2HXRFMT","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BM5XC2HXRFMTTYBN","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BM5XC2HX","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BM5XC2HXRFMTTYBNJS4LVXCTLK","target":"record","payload":{"canonical_record":{"source":{"id":"1901.02184","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-08T07:23:05Z","cross_cats_sorted":[],"title_canon_sha256":"c78e0ed5e405d3084e17e96b54e86e34ad3ddb72234931594b35afee5e87a103","abstract_canon_sha256":"033e1b6d549c51be9802e077abe2ce189fddfba1f0c0d6003d9ff1cec8cc883b"},"schema_version":"1.0"},"canonical_sha256":"0b3b7168f7895939e02d4cb8badc535a914938c5a30dbecff1cc4b981fad7b39","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:43.837677Z","signature_b64":"VDb2PpChCYf/p5mdB1XPj2skI00To9sn4+0K6OG+Nl9gayQGgV2be3dE1yKzfJ3jSivmnTRTijJ/8bV+sbetAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b3b7168f7895939e02d4cb8badc535a914938c5a30dbecff1cc4b981fad7b39","last_reissued_at":"2026-05-17T23:56:43.837294Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:43.837294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.02184","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":"2026-05-17T23:56:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W8/zx41WgI4tCkdjNywJrSlD36i0PeUVhYgXTw/t2AMzdCMxmB90Sc9dVK927Z/u355moXfTrnDRSrhm+Z+rAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T09:36:49.088903Z"},"content_sha256":"2467bccdb85123a9584a079caa9a0c6392109229e8ec88d683688bd49bea5ee8","schema_version":"1.0","event_id":"sha256:2467bccdb85123a9584a079caa9a0c6392109229e8ec88d683688bd49bea5ee8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BM5XC2HXRFMTTYBNJS4LVXCTLK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haotian Ma, Quanshi Zhang, Robert C. Qiu, Song-Chun Zhu, Yu Yang, Zenan ling","submitted_at":"2019-01-08T07:23:05Z","abstract_excerpt":"In this paper, we propose to disentangle and interpret contextual effects that are encoded in a pre-trained deep neural network. We use our method to explain the gaming strategy of the alphaGo Zero model. Unlike previous studies that visualized image appearances corresponding to the network output or a neural activation only from a global perspective, our research aims to clarify how a certain input unit (dimension) collaborates with other units (dimensions) to constitute inference patterns of the neural network and thus contribute to the network output. The analysis of local contextual effect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02184","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":"2026-05-17T23:56:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sFTSMN3ra4qYSkh4QvSG46F18RJxXk2nP36xjWCBaWAh99KRLn6sD9zGt97fpfexgemyq0D2ETg75z7NfmNTAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T09:36:49.089252Z"},"content_sha256":"c65148f49597eaeb1f54db4d1b74e6a304305ee4db157611cfeb12e8b08ea9ca","schema_version":"1.0","event_id":"sha256:c65148f49597eaeb1f54db4d1b74e6a304305ee4db157611cfeb12e8b08ea9ca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BM5XC2HXRFMTTYBNJS4LVXCTLK/bundle.json","state_url":"https://pith.science/pith/BM5XC2HXRFMTTYBNJS4LVXCTLK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BM5XC2HXRFMTTYBNJS4LVXCTLK/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":"2026-05-31T09:36:49Z","links":{"resolver":"https://pith.science/pith/BM5XC2HXRFMTTYBNJS4LVXCTLK","bundle":"https://pith.science/pith/BM5XC2HXRFMTTYBNJS4LVXCTLK/bundle.json","state":"https://pith.science/pith/BM5XC2HXRFMTTYBNJS4LVXCTLK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BM5XC2HXRFMTTYBNJS4LVXCTLK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BM5XC2HXRFMTTYBNJS4LVXCTLK","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":"033e1b6d549c51be9802e077abe2ce189fddfba1f0c0d6003d9ff1cec8cc883b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-08T07:23:05Z","title_canon_sha256":"c78e0ed5e405d3084e17e96b54e86e34ad3ddb72234931594b35afee5e87a103"},"schema_version":"1.0","source":{"id":"1901.02184","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02184","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02184v1","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02184","created_at":"2026-05-17T23:56:43Z"},{"alias_kind":"pith_short_12","alias_value":"BM5XC2HXRFMT","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BM5XC2HXRFMTTYBN","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BM5XC2HX","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:c65148f49597eaeb1f54db4d1b74e6a304305ee4db157611cfeb12e8b08ea9ca","target":"graph","created_at":"2026-05-17T23:56:43Z","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":"In this paper, we propose to disentangle and interpret contextual effects that are encoded in a pre-trained deep neural network. We use our method to explain the gaming strategy of the alphaGo Zero model. Unlike previous studies that visualized image appearances corresponding to the network output or a neural activation only from a global perspective, our research aims to clarify how a certain input unit (dimension) collaborates with other units (dimensions) to constitute inference patterns of the neural network and thus contribute to the network output. The analysis of local contextual effect","authors_text":"Haotian Ma, Quanshi Zhang, Robert C. Qiu, Song-Chun Zhu, Yu Yang, Zenan ling","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-08T07:23:05Z","title":"Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02184","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":"sha256:2467bccdb85123a9584a079caa9a0c6392109229e8ec88d683688bd49bea5ee8","target":"record","created_at":"2026-05-17T23:56:43Z","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":"033e1b6d549c51be9802e077abe2ce189fddfba1f0c0d6003d9ff1cec8cc883b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-08T07:23:05Z","title_canon_sha256":"c78e0ed5e405d3084e17e96b54e86e34ad3ddb72234931594b35afee5e87a103"},"schema_version":"1.0","source":{"id":"1901.02184","kind":"arxiv","version":1}},"canonical_sha256":"0b3b7168f7895939e02d4cb8badc535a914938c5a30dbecff1cc4b981fad7b39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b3b7168f7895939e02d4cb8badc535a914938c5a30dbecff1cc4b981fad7b39","first_computed_at":"2026-05-17T23:56:43.837294Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:43.837294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VDb2PpChCYf/p5mdB1XPj2skI00To9sn4+0K6OG+Nl9gayQGgV2be3dE1yKzfJ3jSivmnTRTijJ/8bV+sbetAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:43.837677Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.02184","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2467bccdb85123a9584a079caa9a0c6392109229e8ec88d683688bd49bea5ee8","sha256:c65148f49597eaeb1f54db4d1b74e6a304305ee4db157611cfeb12e8b08ea9ca"],"state_sha256":"a6d920db62a6fd6bf2fef409b49873a35bafe615b1e305e3fb5495322a014348"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kU+Bybufs0uzxq7+JjOp3oLvY5wLddDCWiLUevrfig3tnMhetZw4OCkUdBV7l3OSUm1EgV+YmGY1chhsEOUTCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T09:36:49.091484Z","bundle_sha256":"ca458a913198f52afe04449fa2013aa2adc72ebe5d4312b8934172b2ffe9ba89"}}