{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:6PJ2HCJUAS4JZCJGJXQT5ZQXM4","short_pith_number":"pith:6PJ2HCJU","canonical_record":{"source":{"id":"2501.09884","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T23:54:54Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"2ec9543ac71509b21a5612e3d7eced403db8b5e6951c218550e4e355cb8fbf6b","abstract_canon_sha256":"18028d8aee5e23b650e1b5eccb5baad405e614d412b5f97b22f5ab45dc35e6d5"},"schema_version":"1.0"},"canonical_sha256":"f3d3a3893404b89c89264de13ee617671fa8669c412c4cc8d5bcb120f96dd220","source":{"kind":"arxiv","id":"2501.09884","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09884","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09884v1","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09884","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_12","alias_value":"6PJ2HCJUAS4J","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_16","alias_value":"6PJ2HCJUAS4JZCJG","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_8","alias_value":"6PJ2HCJU","created_at":"2026-07-05T10:02:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:6PJ2HCJUAS4JZCJGJXQT5ZQXM4","target":"record","payload":{"canonical_record":{"source":{"id":"2501.09884","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T23:54:54Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"2ec9543ac71509b21a5612e3d7eced403db8b5e6951c218550e4e355cb8fbf6b","abstract_canon_sha256":"18028d8aee5e23b650e1b5eccb5baad405e614d412b5f97b22f5ab45dc35e6d5"},"schema_version":"1.0"},"canonical_sha256":"f3d3a3893404b89c89264de13ee617671fa8669c412c4cc8d5bcb120f96dd220","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:12.912402Z","signature_b64":"xPOzOpMgYZvCiAIjt9EfTHS8+otkGdaH+xbZtSm0MaYLLa8+Sx3tXPwKG7ZgLDf67O4Pl5gAYCIVTHXwc+l7Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3d3a3893404b89c89264de13ee617671fa8669c412c4cc8d5bcb120f96dd220","last_reissued_at":"2026-07-05T10:02:12.912002Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:12.912002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.09884","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":"2026-07-05T10:02:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aEoBTItyAcS3bLicU0LkhM3rbf/zfOVHGPi2J/xEN81IHodB8/YAtRSI99naNfLYewd79tASgJlUe38RzhBZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T13:49:56.956410Z"},"content_sha256":"9a093b38fc0b98c55a37d799a9d020293084a6c21947d632b328f6be2dfa4fdb","schema_version":"1.0","event_id":"sha256:9a093b38fc0b98c55a37d799a9d020293084a6c21947d632b328f6be2dfa4fdb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:6PJ2HCJUAS4JZCJGJXQT5ZQXM4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CV","authors_text":"Brian Keith, Claudio Meneses, Diego Urrutia, Fausto German, Mauricio Matus","submitted_at":"2025-01-16T23:54:54Z","abstract_excerpt":"This paper presents a semi-supervised approach to extracting narratives from historical photographic records using an adaptation of the narrative maps algorithm. We extend the original unsupervised text-based method to work with image data, leveraging deep learning techniques for visual feature extraction and similarity computation. Our method is applied to the ROGER dataset, a collection of photographs from the 1928 Sacambaya Expedition in Bolivia captured by Robert Gerstmann. We compare our algorithmically extracted visual narratives with expert-curated timelines of varying lengths (5 to 30 "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09884","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.09884/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T10:02:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vWg7IVm5W6+Jg+LnShb74OKSZ5yXtEhTtV74tlYUqR0m97s19xvUPrPdWxzsOqaNUWqno/SeajfjkmZh681zCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T13:49:56.956791Z"},"content_sha256":"71ec441d050355bd4ab4db90b72c3b1861063df3b3db109e22dea5149498a944","schema_version":"1.0","event_id":"sha256:71ec441d050355bd4ab4db90b72c3b1861063df3b3db109e22dea5149498a944"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6PJ2HCJUAS4JZCJGJXQT5ZQXM4/bundle.json","state_url":"https://pith.science/pith/6PJ2HCJUAS4JZCJGJXQT5ZQXM4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6PJ2HCJUAS4JZCJGJXQT5ZQXM4/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":"2026-08-20T13:49:56Z","links":{"resolver":"https://pith.science/pith/6PJ2HCJUAS4JZCJGJXQT5ZQXM4","bundle":"https://pith.science/pith/6PJ2HCJUAS4JZCJGJXQT5ZQXM4/bundle.json","state":"https://pith.science/pith/6PJ2HCJUAS4JZCJGJXQT5ZQXM4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6PJ2HCJUAS4JZCJGJXQT5ZQXM4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6PJ2HCJUAS4JZCJGJXQT5ZQXM4","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":"18028d8aee5e23b650e1b5eccb5baad405e614d412b5f97b22f5ab45dc35e6d5","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T23:54:54Z","title_canon_sha256":"2ec9543ac71509b21a5612e3d7eced403db8b5e6951c218550e4e355cb8fbf6b"},"schema_version":"1.0","source":{"id":"2501.09884","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09884","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09884v1","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09884","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_12","alias_value":"6PJ2HCJUAS4J","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_16","alias_value":"6PJ2HCJUAS4JZCJG","created_at":"2026-07-05T10:02:12Z"},{"alias_kind":"pith_short_8","alias_value":"6PJ2HCJU","created_at":"2026-07-05T10:02:12Z"}],"graph_snapshots":[{"event_id":"sha256:71ec441d050355bd4ab4db90b72c3b1861063df3b3db109e22dea5149498a944","target":"graph","created_at":"2026-07-05T10:02:12Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2501.09884/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a semi-supervised approach to extracting narratives from historical photographic records using an adaptation of the narrative maps algorithm. We extend the original unsupervised text-based method to work with image data, leveraging deep learning techniques for visual feature extraction and similarity computation. Our method is applied to the ROGER dataset, a collection of photographs from the 1928 Sacambaya Expedition in Bolivia captured by Robert Gerstmann. We compare our algorithmically extracted visual narratives with expert-curated timelines of varying lengths (5 to 30 ","authors_text":"Brian Keith, Claudio Meneses, Diego Urrutia, Fausto German, Mauricio Matus","cross_cats":["cs.IR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T23:54:54Z","title":"Semi-Supervised Image-Based Narrative Extraction: A Case Study with Historical Photographic Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09884","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":"sha256:9a093b38fc0b98c55a37d799a9d020293084a6c21947d632b328f6be2dfa4fdb","target":"record","created_at":"2026-07-05T10:02:12Z","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":"18028d8aee5e23b650e1b5eccb5baad405e614d412b5f97b22f5ab45dc35e6d5","cross_cats_sorted":["cs.IR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-16T23:54:54Z","title_canon_sha256":"2ec9543ac71509b21a5612e3d7eced403db8b5e6951c218550e4e355cb8fbf6b"},"schema_version":"1.0","source":{"id":"2501.09884","kind":"arxiv","version":1}},"canonical_sha256":"f3d3a3893404b89c89264de13ee617671fa8669c412c4cc8d5bcb120f96dd220","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3d3a3893404b89c89264de13ee617671fa8669c412c4cc8d5bcb120f96dd220","first_computed_at":"2026-07-05T10:02:12.912002Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:12.912002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xPOzOpMgYZvCiAIjt9EfTHS8+otkGdaH+xbZtSm0MaYLLa8+Sx3tXPwKG7ZgLDf67O4Pl5gAYCIVTHXwc+l7Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:12.912402Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09884","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9a093b38fc0b98c55a37d799a9d020293084a6c21947d632b328f6be2dfa4fdb","sha256:71ec441d050355bd4ab4db90b72c3b1861063df3b3db109e22dea5149498a944"],"state_sha256":"e6a6b1eaad2adf0bd341c24b7989b11a89b292e22f40c6ae5e20a03c96de42d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fFuUUNhR0n6z1mPx6+qBQ3tqunlNRD1n080EYEiSJRCQ/ujsvNWrTRCLteF63TguxuMH5jW5k3C+/wlQsIUkAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T13:49:56.959997Z","bundle_sha256":"504ff37ad137c38a5d6340a65a0ca3f7537e1509f60fc3c10768303c99064f03"}}