{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:WRHPP3O46CCXTOVN55XKB4SP2C","short_pith_number":"pith:WRHPP3O4","canonical_record":{"source":{"id":"1611.09394","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-28T21:36:31Z","cross_cats_sorted":[],"title_canon_sha256":"bb0dd1a633122c2c4a6f9df89de542174a8be8bd31a9106f2b621f5b813813b8","abstract_canon_sha256":"a32b5f0477da5c201914c0178e3625092906ecd5e115f6f4dfdfd0b816440927"},"schema_version":"1.0"},"canonical_sha256":"b44ef7eddcf08579baadef6ea0f24fd0ad08130c297487a11ffc9bf31d42d501","source":{"kind":"arxiv","id":"1611.09394","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.09394","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"arxiv_version","alias_value":"1611.09394v3","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.09394","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"pith_short_12","alias_value":"WRHPP3O46CCX","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"WRHPP3O46CCXTOVN","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"WRHPP3O4","created_at":"2026-05-18T12:30:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:WRHPP3O46CCXTOVN55XKB4SP2C","target":"record","payload":{"canonical_record":{"source":{"id":"1611.09394","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-28T21:36:31Z","cross_cats_sorted":[],"title_canon_sha256":"bb0dd1a633122c2c4a6f9df89de542174a8be8bd31a9106f2b621f5b813813b8","abstract_canon_sha256":"a32b5f0477da5c201914c0178e3625092906ecd5e115f6f4dfdfd0b816440927"},"schema_version":"1.0"},"canonical_sha256":"b44ef7eddcf08579baadef6ea0f24fd0ad08130c297487a11ffc9bf31d42d501","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:46:31.537033Z","signature_b64":"iHUQH/6Wqj/4JBmBk+t9KDG7fN2NuubbGKMeO5DWE88QjawUdNMJk7MpOKgNrTxcSplXNiKq/40PtlZ6JEJ8Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b44ef7eddcf08579baadef6ea0f24fd0ad08130c297487a11ffc9bf31d42d501","last_reissued_at":"2026-05-18T00:46:31.536472Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:46:31.536472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.09394","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:46:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ykN2zcdWLPucB7/OLlpW1Oqe9Ikw45LlWisAfI97k8T7zOFBP+3Fh53i3ZnrGntqOlEq7Whai1JlR5CIGQeMBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T11:09:24.318996Z"},"content_sha256":"8d7f5d0d0b1992207e2dedc6cffc65875bcd5207b2a7b190b5f1ed49ca3bc464","schema_version":"1.0","event_id":"sha256:8d7f5d0d0b1992207e2dedc6cffc65875bcd5207b2a7b190b5f1ed49ca3bc464"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:WRHPP3O46CCXTOVN55XKB4SP2C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Material Recognition from Local Appearance in Global Context","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gabriel Schwartz, Ko Nishino","submitted_at":"2016-11-28T21:36:31Z","abstract_excerpt":"Recognition of materials has proven to be a challenging problem due to the wide variation in appearance within and between categories. Global image context, such as where the material is or what object it makes up, can be crucial to recognizing the material. Existing methods, however, operate on an implicit fusion of materials and context by using large receptive fields as input (i.e., large image patches). Many recent material recognition methods treat materials as yet another set of labels like objects. Materials are, however, fundamentally different from objects as they have no inherent sha"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.09394","kind":"arxiv","version":3},"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":"2026-05-18T00:46:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qvvq4J0Bt9fDS6faamZrXg3g+gFjxxSyE/8amuXt4IssjodKBc0+o6oCRU7KqngCgrFxJhpmOnEpU746UodPBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T11:09:24.319338Z"},"content_sha256":"10a2b921bb23524f1c150b43101e2e1a131651c4d7874749809baa578e511938","schema_version":"1.0","event_id":"sha256:10a2b921bb23524f1c150b43101e2e1a131651c4d7874749809baa578e511938"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WRHPP3O46CCXTOVN55XKB4SP2C/bundle.json","state_url":"https://pith.science/pith/WRHPP3O46CCXTOVN55XKB4SP2C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WRHPP3O46CCXTOVN55XKB4SP2C/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":"2026-06-09T11:09:24Z","links":{"resolver":"https://pith.science/pith/WRHPP3O46CCXTOVN55XKB4SP2C","bundle":"https://pith.science/pith/WRHPP3O46CCXTOVN55XKB4SP2C/bundle.json","state":"https://pith.science/pith/WRHPP3O46CCXTOVN55XKB4SP2C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WRHPP3O46CCXTOVN55XKB4SP2C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:WRHPP3O46CCXTOVN55XKB4SP2C","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":"a32b5f0477da5c201914c0178e3625092906ecd5e115f6f4dfdfd0b816440927","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-28T21:36:31Z","title_canon_sha256":"bb0dd1a633122c2c4a6f9df89de542174a8be8bd31a9106f2b621f5b813813b8"},"schema_version":"1.0","source":{"id":"1611.09394","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.09394","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"arxiv_version","alias_value":"1611.09394v3","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.09394","created_at":"2026-05-18T00:46:31Z"},{"alias_kind":"pith_short_12","alias_value":"WRHPP3O46CCX","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"WRHPP3O46CCXTOVN","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"WRHPP3O4","created_at":"2026-05-18T12:30:51Z"}],"graph_snapshots":[{"event_id":"sha256:10a2b921bb23524f1c150b43101e2e1a131651c4d7874749809baa578e511938","target":"graph","created_at":"2026-05-18T00:46:31Z","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":"Recognition of materials has proven to be a challenging problem due to the wide variation in appearance within and between categories. Global image context, such as where the material is or what object it makes up, can be crucial to recognizing the material. Existing methods, however, operate on an implicit fusion of materials and context by using large receptive fields as input (i.e., large image patches). Many recent material recognition methods treat materials as yet another set of labels like objects. Materials are, however, fundamentally different from objects as they have no inherent sha","authors_text":"Gabriel Schwartz, Ko Nishino","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-28T21:36:31Z","title":"Material Recognition from Local Appearance in Global Context"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.09394","kind":"arxiv","version":3},"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":"sha256:8d7f5d0d0b1992207e2dedc6cffc65875bcd5207b2a7b190b5f1ed49ca3bc464","target":"record","created_at":"2026-05-18T00:46:31Z","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":"a32b5f0477da5c201914c0178e3625092906ecd5e115f6f4dfdfd0b816440927","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-11-28T21:36:31Z","title_canon_sha256":"bb0dd1a633122c2c4a6f9df89de542174a8be8bd31a9106f2b621f5b813813b8"},"schema_version":"1.0","source":{"id":"1611.09394","kind":"arxiv","version":3}},"canonical_sha256":"b44ef7eddcf08579baadef6ea0f24fd0ad08130c297487a11ffc9bf31d42d501","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b44ef7eddcf08579baadef6ea0f24fd0ad08130c297487a11ffc9bf31d42d501","first_computed_at":"2026-05-18T00:46:31.536472Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:46:31.536472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iHUQH/6Wqj/4JBmBk+t9KDG7fN2NuubbGKMeO5DWE88QjawUdNMJk7MpOKgNrTxcSplXNiKq/40PtlZ6JEJ8Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:46:31.537033Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.09394","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d7f5d0d0b1992207e2dedc6cffc65875bcd5207b2a7b190b5f1ed49ca3bc464","sha256:10a2b921bb23524f1c150b43101e2e1a131651c4d7874749809baa578e511938"],"state_sha256":"ee863098858214b363c146bc9272ce206015747008b675f1fd04f4859791da72"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e9lQ/+UaDgcFhhwBW26GqD5IOZYs6XF/es4KcYcT0/Za9hhlp4QVzJVX9emi3p6hiEoo9k5pZcWfHs/+KLi3Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T11:09:24.321144Z","bundle_sha256":"4e2810adc66452fa256827d0211c319d896db3fd10c8455cd1f152f705f783e0"}}