{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:BZP544IZ5EMOPZ5L6BB5NOMNBV","short_pith_number":"pith:BZP544IZ","canonical_record":{"source":{"id":"1812.06707","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-17T11:28:05Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"e69b0085d0bf76137b9ef96b0cf10755860d0d96eb55b08266f7589f8f900c3e","abstract_canon_sha256":"2ffdee1926f0bfb5301162dbf4a4cd848e7ac0c8883e3998be79c4b6b7998ef0"},"schema_version":"1.0"},"canonical_sha256":"0e5fde7119e918e7e7abf043d6b98d0d4a5113e3ba39b6edecbe11a54c2f42a6","source":{"kind":"arxiv","id":"1812.06707","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.06707","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"arxiv_version","alias_value":"1812.06707v1","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.06707","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"pith_short_12","alias_value":"BZP544IZ5EMO","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BZP544IZ5EMOPZ5L","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BZP544IZ","created_at":"2026-05-18T12:32:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:BZP544IZ5EMOPZ5L6BB5NOMNBV","target":"record","payload":{"canonical_record":{"source":{"id":"1812.06707","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-17T11:28:05Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"e69b0085d0bf76137b9ef96b0cf10755860d0d96eb55b08266f7589f8f900c3e","abstract_canon_sha256":"2ffdee1926f0bfb5301162dbf4a4cd848e7ac0c8883e3998be79c4b6b7998ef0"},"schema_version":"1.0"},"canonical_sha256":"0e5fde7119e918e7e7abf043d6b98d0d4a5113e3ba39b6edecbe11a54c2f42a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:09.507585Z","signature_b64":"1Zwfb/Z4NAEly9vGaIcgsFfJVl1IX8XZCOIvsOaP6pFUFxDQ8mwGTaTTmrFPfcPNB+DjzbAE47c2Niq4wbtsCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e5fde7119e918e7e7abf043d6b98d0d4a5113e3ba39b6edecbe11a54c2f42a6","last_reissued_at":"2026-05-17T23:58:09.506987Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:09.506987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.06707","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":"2026-05-17T23:58:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vXTv1LLTgaAx7Oe0Vrdm12JE/SJZ+SkMMld5U9CpDcNYI5ZG/Xpxgd9r98UOoA1Ve8EE2qb4Rt2+HggnHMbrCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T16:27:50.057382Z"},"content_sha256":"c6c8fc20905411f26f497ef56db18018ebc555de37079b0c9497d3b9bcbf59a4","schema_version":"1.0","event_id":"sha256:c6c8fc20905411f26f497ef56db18018ebc555de37079b0c9497d3b9bcbf59a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:BZP544IZ5EMOPZ5L6BB5NOMNBV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.CV","authors_text":"Bernt Schiele, Mario Fritz, Rakshith Shetty","submitted_at":"2018-12-17T11:28:05Z","abstract_excerpt":"Importance of visual context in scene understanding tasks is well recognized in the computer vision community. However, to what extent the computer vision models for image classification and semantic segmentation are dependent on the context to make their predictions is unclear. A model overly relying on context will fail when encountering objects in context distributions different from training data and hence it is important to identify these dependencies before we can deploy the models in the real-world. We propose a method to quantify the sensitivity of black-box vision models to visual con"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.06707","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":"2026-05-17T23:58:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L2DWd+3Dv4RrLhMm+a3fL2k185SWU7xaKgF6Ycou7q1I487GwJueF8Pe1hMV0F7oBsBk29gqJ2XersGaZ5O4Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T16:27:50.057742Z"},"content_sha256":"ceaeb5088de9262d1ee3ea56a995cbed1f55640888e77541b3bf5119072161d9","schema_version":"1.0","event_id":"sha256:ceaeb5088de9262d1ee3ea56a995cbed1f55640888e77541b3bf5119072161d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BZP544IZ5EMOPZ5L6BB5NOMNBV/bundle.json","state_url":"https://pith.science/pith/BZP544IZ5EMOPZ5L6BB5NOMNBV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BZP544IZ5EMOPZ5L6BB5NOMNBV/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":"2026-06-06T16:27:50Z","links":{"resolver":"https://pith.science/pith/BZP544IZ5EMOPZ5L6BB5NOMNBV","bundle":"https://pith.science/pith/BZP544IZ5EMOPZ5L6BB5NOMNBV/bundle.json","state":"https://pith.science/pith/BZP544IZ5EMOPZ5L6BB5NOMNBV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BZP544IZ5EMOPZ5L6BB5NOMNBV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BZP544IZ5EMOPZ5L6BB5NOMNBV","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":"2ffdee1926f0bfb5301162dbf4a4cd848e7ac0c8883e3998be79c4b6b7998ef0","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-17T11:28:05Z","title_canon_sha256":"e69b0085d0bf76137b9ef96b0cf10755860d0d96eb55b08266f7589f8f900c3e"},"schema_version":"1.0","source":{"id":"1812.06707","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.06707","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"arxiv_version","alias_value":"1812.06707v1","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.06707","created_at":"2026-05-17T23:58:09Z"},{"alias_kind":"pith_short_12","alias_value":"BZP544IZ5EMO","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BZP544IZ5EMOPZ5L","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BZP544IZ","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:ceaeb5088de9262d1ee3ea56a995cbed1f55640888e77541b3bf5119072161d9","target":"graph","created_at":"2026-05-17T23:58:09Z","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":"Importance of visual context in scene understanding tasks is well recognized in the computer vision community. However, to what extent the computer vision models for image classification and semantic segmentation are dependent on the context to make their predictions is unclear. A model overly relying on context will fail when encountering objects in context distributions different from training data and hence it is important to identify these dependencies before we can deploy the models in the real-world. We propose a method to quantify the sensitivity of black-box vision models to visual con","authors_text":"Bernt Schiele, Mario Fritz, Rakshith Shetty","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-17T11:28:05Z","title":"Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.06707","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:c6c8fc20905411f26f497ef56db18018ebc555de37079b0c9497d3b9bcbf59a4","target":"record","created_at":"2026-05-17T23:58:09Z","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":"2ffdee1926f0bfb5301162dbf4a4cd848e7ac0c8883e3998be79c4b6b7998ef0","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-17T11:28:05Z","title_canon_sha256":"e69b0085d0bf76137b9ef96b0cf10755860d0d96eb55b08266f7589f8f900c3e"},"schema_version":"1.0","source":{"id":"1812.06707","kind":"arxiv","version":1}},"canonical_sha256":"0e5fde7119e918e7e7abf043d6b98d0d4a5113e3ba39b6edecbe11a54c2f42a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0e5fde7119e918e7e7abf043d6b98d0d4a5113e3ba39b6edecbe11a54c2f42a6","first_computed_at":"2026-05-17T23:58:09.506987Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:58:09.506987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1Zwfb/Z4NAEly9vGaIcgsFfJVl1IX8XZCOIvsOaP6pFUFxDQ8mwGTaTTmrFPfcPNB+DjzbAE47c2Niq4wbtsCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:58:09.507585Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.06707","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6c8fc20905411f26f497ef56db18018ebc555de37079b0c9497d3b9bcbf59a4","sha256:ceaeb5088de9262d1ee3ea56a995cbed1f55640888e77541b3bf5119072161d9"],"state_sha256":"a7d392c303bd7320b01896412e588af7cf714651c23fdc03097af4a6f9bdc1cf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S9gUqflMkhJXdoODkRmLC3FYhg67sfMHfr2Ej4ZbV/jfJlI3BBcEEZsgoNvOpmB/ow5lqujUX9KaKcbnGW3OCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T16:27:50.059710Z","bundle_sha256":"70b74a4974bc9930617fe6c4becc69b946afbb63ac66d346ad185a93eea6faf7"}}