{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SODXSTYPQENNTOF43HVWENUCJN","short_pith_number":"pith:SODXSTYP","canonical_record":{"source":{"id":"2305.12943","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T11:45:10Z","cross_cats_sorted":[],"title_canon_sha256":"646c0d2d30583f8109a3dc582ae606d5c6804b5a1c596032704263e7a3afc377","abstract_canon_sha256":"3bf7238ed8aa29b3aa536d60a5a16c0f8c88d0cd1439b928e602f5fbc96f36ae"},"schema_version":"1.0"},"canonical_sha256":"9387794f0f811ad9b8bcd9eb6236824b4438d4e70e6ea2c9d516bc720f6ff137","source":{"kind":"arxiv","id":"2305.12943","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12943","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12943v2","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12943","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"SODXSTYPQENN","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"SODXSTYPQENNTOF4","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"SODXSTYP","created_at":"2026-07-05T06:13:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SODXSTYPQENNTOF43HVWENUCJN","target":"record","payload":{"canonical_record":{"source":{"id":"2305.12943","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T11:45:10Z","cross_cats_sorted":[],"title_canon_sha256":"646c0d2d30583f8109a3dc582ae606d5c6804b5a1c596032704263e7a3afc377","abstract_canon_sha256":"3bf7238ed8aa29b3aa536d60a5a16c0f8c88d0cd1439b928e602f5fbc96f36ae"},"schema_version":"1.0"},"canonical_sha256":"9387794f0f811ad9b8bcd9eb6236824b4438d4e70e6ea2c9d516bc720f6ff137","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:13:21.443929Z","signature_b64":"aTS6+0jAySlwMJtKkBkzulZ0gnQi3w2szPNb2GMZxoXTkTbkY43ny9ln7Z1WmcoL4NkcGb3yDNICMXgeSPebBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9387794f0f811ad9b8bcd9eb6236824b4438d4e70e6ea2c9d516bc720f6ff137","last_reissued_at":"2026-07-05T06:13:21.443444Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:13:21.443444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.12943","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":"2026-07-05T06:13:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZH9Y/mXfC3VtwrjMdQ7Cm4hs1zacktheCSe5Jg7XBp14uxcz20pdjhgmFmlAANkYNwZ8sojRpD/Gkqs3PfPhDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:09:33.897444Z"},"content_sha256":"08425ec2cf035d89ab57553f6025c9be2d4fe52e426974c1daa5fd9618aab7a4","schema_version":"1.0","event_id":"sha256:08425ec2cf035d89ab57553f6025c9be2d4fe52e426974c1daa5fd9618aab7a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SODXSTYPQENNTOF43HVWENUCJN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Album Storytelling with Iterative Story-aware Captioning and Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongdong Chen, Li Yuan, Lu Yuan, Munan Ning, Qixiang Ye, Yonghong Tian, Yujia Xie, Zeyin Song","submitted_at":"2023-05-22T11:45:10Z","abstract_excerpt":"This work studies how to transform an album to vivid and coherent stories, a task we refer to as \"album storytelling\". While this task can help preserve memories and facilitate experience sharing, it remains an underexplored area in current literature. With recent advances in Large Language Models (LLMs), it is now possible to generate lengthy, coherent text, opening up the opportunity to develop an AI assistant for album storytelling. One natural approach is to use caption models to describe each photo in the album, and then use LLMs to summarize and rewrite the generated captions into an eng"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12943","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2305.12943/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":"2026-07-05T06:13:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w7KvVju1KEHB/OlZ0+KDejL9gl4oI65WqJExRXfIyBJ7sDgRRdNQThMIa1ZK30KGMF3r7q1v9/sqC0kpDml9DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:09:33.897949Z"},"content_sha256":"b81cbb48cc632206bbc72b4efa7753fae6c18f56d131ae63c178c63c1da8a44e","schema_version":"1.0","event_id":"sha256:b81cbb48cc632206bbc72b4efa7753fae6c18f56d131ae63c178c63c1da8a44e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SODXSTYPQENNTOF43HVWENUCJN/bundle.json","state_url":"https://pith.science/pith/SODXSTYPQENNTOF43HVWENUCJN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SODXSTYPQENNTOF43HVWENUCJN/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":"2026-08-10T17:09:33Z","links":{"resolver":"https://pith.science/pith/SODXSTYPQENNTOF43HVWENUCJN","bundle":"https://pith.science/pith/SODXSTYPQENNTOF43HVWENUCJN/bundle.json","state":"https://pith.science/pith/SODXSTYPQENNTOF43HVWENUCJN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SODXSTYPQENNTOF43HVWENUCJN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SODXSTYPQENNTOF43HVWENUCJN","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":"3bf7238ed8aa29b3aa536d60a5a16c0f8c88d0cd1439b928e602f5fbc96f36ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T11:45:10Z","title_canon_sha256":"646c0d2d30583f8109a3dc582ae606d5c6804b5a1c596032704263e7a3afc377"},"schema_version":"1.0","source":{"id":"2305.12943","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12943","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12943v2","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12943","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_12","alias_value":"SODXSTYPQENN","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_16","alias_value":"SODXSTYPQENNTOF4","created_at":"2026-07-05T06:13:21Z"},{"alias_kind":"pith_short_8","alias_value":"SODXSTYP","created_at":"2026-07-05T06:13:21Z"}],"graph_snapshots":[{"event_id":"sha256:b81cbb48cc632206bbc72b4efa7753fae6c18f56d131ae63c178c63c1da8a44e","target":"graph","created_at":"2026-07-05T06:13:21Z","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/2305.12943/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This work studies how to transform an album to vivid and coherent stories, a task we refer to as \"album storytelling\". While this task can help preserve memories and facilitate experience sharing, it remains an underexplored area in current literature. With recent advances in Large Language Models (LLMs), it is now possible to generate lengthy, coherent text, opening up the opportunity to develop an AI assistant for album storytelling. One natural approach is to use caption models to describe each photo in the album, and then use LLMs to summarize and rewrite the generated captions into an eng","authors_text":"Dongdong Chen, Li Yuan, Lu Yuan, Munan Ning, Qixiang Ye, Yonghong Tian, Yujia Xie, Zeyin Song","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T11:45:10Z","title":"Album Storytelling with Iterative Story-aware Captioning and Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12943","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":"sha256:08425ec2cf035d89ab57553f6025c9be2d4fe52e426974c1daa5fd9618aab7a4","target":"record","created_at":"2026-07-05T06:13:21Z","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":"3bf7238ed8aa29b3aa536d60a5a16c0f8c88d0cd1439b928e602f5fbc96f36ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T11:45:10Z","title_canon_sha256":"646c0d2d30583f8109a3dc582ae606d5c6804b5a1c596032704263e7a3afc377"},"schema_version":"1.0","source":{"id":"2305.12943","kind":"arxiv","version":2}},"canonical_sha256":"9387794f0f811ad9b8bcd9eb6236824b4438d4e70e6ea2c9d516bc720f6ff137","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9387794f0f811ad9b8bcd9eb6236824b4438d4e70e6ea2c9d516bc720f6ff137","first_computed_at":"2026-07-05T06:13:21.443444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:13:21.443444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aTS6+0jAySlwMJtKkBkzulZ0gnQi3w2szPNb2GMZxoXTkTbkY43ny9ln7Z1WmcoL4NkcGb3yDNICMXgeSPebBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:13:21.443929Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.12943","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08425ec2cf035d89ab57553f6025c9be2d4fe52e426974c1daa5fd9618aab7a4","sha256:b81cbb48cc632206bbc72b4efa7753fae6c18f56d131ae63c178c63c1da8a44e"],"state_sha256":"3b0612802efab835eab53bab6e3fc1552ad402eb039c966bd9322e6e9801f86b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p1hozFn7lZ9rc7zMjLqWNpam/hUeikLeX27tF2PNSG9U8wuqpV/IcvRIaXi2zfK218J1CvnXBYV+1O7YI47PCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T17:09:33.903541Z","bundle_sha256":"9d65b0cd536f5fb9dd109987f1f493421f545c38b53b20e08654cd7988c63bdd"}}