{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BHDM7KISDCLBMQ2XH7VS5PKCIY","short_pith_number":"pith:BHDM7KIS","canonical_record":{"source":{"id":"1703.04096","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-12T10:38:10Z","cross_cats_sorted":[],"title_canon_sha256":"f859ba72cb79c79426cd47d03c6d98adf6caaedb8cbb948912997cc841613b28","abstract_canon_sha256":"8783095684a31847e0b1e736ef954e7b307582fbb2b9dfb66e0c8092e6b3052b"},"schema_version":"1.0"},"canonical_sha256":"09c6cfa91218961643573feb2ebd42463774f9a0a4529ee2b4bc4c4fec875461","source":{"kind":"arxiv","id":"1703.04096","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04096","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04096v2","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04096","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"pith_short_12","alias_value":"BHDM7KISDCLB","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BHDM7KISDCLBMQ2X","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BHDM7KIS","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BHDM7KISDCLBMQ2XH7VS5PKCIY","target":"record","payload":{"canonical_record":{"source":{"id":"1703.04096","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-12T10:38:10Z","cross_cats_sorted":[],"title_canon_sha256":"f859ba72cb79c79426cd47d03c6d98adf6caaedb8cbb948912997cc841613b28","abstract_canon_sha256":"8783095684a31847e0b1e736ef954e7b307582fbb2b9dfb66e0c8092e6b3052b"},"schema_version":"1.0"},"canonical_sha256":"09c6cfa91218961643573feb2ebd42463774f9a0a4529ee2b4bc4c4fec875461","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:36.810733Z","signature_b64":"NRTKCNPufXjRvFG+BmEkHOluGyYyjbuXNasDvpC/+vMcimJNa3UZNW/qYCTn5W2lhD2CasA2ah2Mli9/SDaoAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09c6cfa91218961643573feb2ebd42463774f9a0a4529ee2b4bc4c4fec875461","last_reissued_at":"2026-05-18T00:47:36.810075Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:36.810075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.04096","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":"2026-05-18T00:47:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uqrC/6HPuz9dNfeGrzzCJzFGm5o/fD1GlFpp9iO0FGb+cPXoMttCifl21JqQ2WDMD6c82jqvMgxB2heOYC6SAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:22:05.973668Z"},"content_sha256":"ff06d9d5ef6c5b1aa849d1652829d147c264929ce6e6f8a4602d827b4e5b4e61","schema_version":"1.0","event_id":"sha256:ff06d9d5ef6c5b1aa849d1652829d147c264929ce6e6f8a4602d827b4e5b4e61"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BHDM7KISDCLBMQ2XH7VS5PKCIY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Interpretability of Deep Neural Networks with Semantic Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Zhang, Hang Su, Jun Zhu, Yinpeng Dong","submitted_at":"2017-03-12T10:38:10Z","abstract_excerpt":"Interpretability of deep neural networks (DNNs) is essential since it enables users to understand the overall strengths and weaknesses of the models, conveys an understanding of how the models will behave in the future, and how to diagnose and correct potential problems. However, it is challenging to reason about what a DNN actually does due to its opaque or black-box nature. To address this issue, we propose a novel technique to improve the interpretability of DNNs by leveraging the rich semantic information embedded in human descriptions. By concentrating on the video captioning task, we fir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04096","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":"2026-05-18T00:47:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pk+83bjsNUiNJG1wBq37XZVEuwr166SsSD1mpMn6cKOHlY7xNNcadPoEIN2uwJhz7p2gTZGx3jTQBMB8ah3IAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T22:22:05.974013Z"},"content_sha256":"d2ecc738ec28cce4ea48a8e730eeda27afcfbecd2701f1f2e263c6128eb676d0","schema_version":"1.0","event_id":"sha256:d2ecc738ec28cce4ea48a8e730eeda27afcfbecd2701f1f2e263c6128eb676d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BHDM7KISDCLBMQ2XH7VS5PKCIY/bundle.json","state_url":"https://pith.science/pith/BHDM7KISDCLBMQ2XH7VS5PKCIY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BHDM7KISDCLBMQ2XH7VS5PKCIY/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":"2026-06-01T22:22:05Z","links":{"resolver":"https://pith.science/pith/BHDM7KISDCLBMQ2XH7VS5PKCIY","bundle":"https://pith.science/pith/BHDM7KISDCLBMQ2XH7VS5PKCIY/bundle.json","state":"https://pith.science/pith/BHDM7KISDCLBMQ2XH7VS5PKCIY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BHDM7KISDCLBMQ2XH7VS5PKCIY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BHDM7KISDCLBMQ2XH7VS5PKCIY","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":"8783095684a31847e0b1e736ef954e7b307582fbb2b9dfb66e0c8092e6b3052b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-12T10:38:10Z","title_canon_sha256":"f859ba72cb79c79426cd47d03c6d98adf6caaedb8cbb948912997cc841613b28"},"schema_version":"1.0","source":{"id":"1703.04096","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.04096","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"arxiv_version","alias_value":"1703.04096v2","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.04096","created_at":"2026-05-18T00:47:36Z"},{"alias_kind":"pith_short_12","alias_value":"BHDM7KISDCLB","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BHDM7KISDCLBMQ2X","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BHDM7KIS","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:d2ecc738ec28cce4ea48a8e730eeda27afcfbecd2701f1f2e263c6128eb676d0","target":"graph","created_at":"2026-05-18T00:47:36Z","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":"Interpretability of deep neural networks (DNNs) is essential since it enables users to understand the overall strengths and weaknesses of the models, conveys an understanding of how the models will behave in the future, and how to diagnose and correct potential problems. However, it is challenging to reason about what a DNN actually does due to its opaque or black-box nature. To address this issue, we propose a novel technique to improve the interpretability of DNNs by leveraging the rich semantic information embedded in human descriptions. By concentrating on the video captioning task, we fir","authors_text":"Bo Zhang, Hang Su, Jun Zhu, Yinpeng Dong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-12T10:38:10Z","title":"Improving Interpretability of Deep Neural Networks with Semantic Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.04096","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:ff06d9d5ef6c5b1aa849d1652829d147c264929ce6e6f8a4602d827b4e5b4e61","target":"record","created_at":"2026-05-18T00:47:36Z","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":"8783095684a31847e0b1e736ef954e7b307582fbb2b9dfb66e0c8092e6b3052b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-12T10:38:10Z","title_canon_sha256":"f859ba72cb79c79426cd47d03c6d98adf6caaedb8cbb948912997cc841613b28"},"schema_version":"1.0","source":{"id":"1703.04096","kind":"arxiv","version":2}},"canonical_sha256":"09c6cfa91218961643573feb2ebd42463774f9a0a4529ee2b4bc4c4fec875461","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09c6cfa91218961643573feb2ebd42463774f9a0a4529ee2b4bc4c4fec875461","first_computed_at":"2026-05-18T00:47:36.810075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:36.810075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NRTKCNPufXjRvFG+BmEkHOluGyYyjbuXNasDvpC/+vMcimJNa3UZNW/qYCTn5W2lhD2CasA2ah2Mli9/SDaoAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:36.810733Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.04096","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff06d9d5ef6c5b1aa849d1652829d147c264929ce6e6f8a4602d827b4e5b4e61","sha256:d2ecc738ec28cce4ea48a8e730eeda27afcfbecd2701f1f2e263c6128eb676d0"],"state_sha256":"1fd08c8a9d6dc745a48e585a572ff01b14927cde8e7921c2396dd84f978da254"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BSiIJ27j0XwxJrpz1pwpXHyfgAS+SbXp1BmQeavmKmZQ0qko2zHvEVKo8x1Ej8HWbrjOj07jEPoxBsrbDiANDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T22:22:05.975994Z","bundle_sha256":"d87f320dd243393337f841dac10cb61942b14dc1ddcb185082a8f370f5da15d4"}}