{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3QX2HLFUQYLUBJSATJ22GOPQSH","short_pith_number":"pith:3QX2HLFU","canonical_record":{"source":{"id":"2310.17770","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-10-26T20:27:16Z","cross_cats_sorted":["cs.CL","cs.CV","cs.LG"],"title_canon_sha256":"f72892dce2cc67e2420de3ab5cd75ed41997b6cecd40b1cdbdd1ed869917b4e2","abstract_canon_sha256":"0c08a48403bab3559fb83fc22416bb329c2910c672ba92cc8b2f62fcf4ffe357"},"schema_version":"1.0"},"canonical_sha256":"dc2fa3acb4861740a6409a75a339f091e0b1ea8adb6d852b00c2991e280c67d1","source":{"kind":"arxiv","id":"2310.17770","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.17770","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"arxiv_version","alias_value":"2310.17770v1","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.17770","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"pith_short_12","alias_value":"3QX2HLFUQYLU","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"pith_short_16","alias_value":"3QX2HLFUQYLUBJSA","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"pith_short_8","alias_value":"3QX2HLFU","created_at":"2026-07-05T07:05:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3QX2HLFUQYLUBJSATJ22GOPQSH","target":"record","payload":{"canonical_record":{"source":{"id":"2310.17770","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-10-26T20:27:16Z","cross_cats_sorted":["cs.CL","cs.CV","cs.LG"],"title_canon_sha256":"f72892dce2cc67e2420de3ab5cd75ed41997b6cecd40b1cdbdd1ed869917b4e2","abstract_canon_sha256":"0c08a48403bab3559fb83fc22416bb329c2910c672ba92cc8b2f62fcf4ffe357"},"schema_version":"1.0"},"canonical_sha256":"dc2fa3acb4861740a6409a75a339f091e0b1ea8adb6d852b00c2991e280c67d1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:05:52.338012Z","signature_b64":"dH04oPKNZpZKnm4pHFb1GIIiQBS/hL+Ak6bTUJGKGraWwmvkuBC9aYwVFNK6C+e7znvqJWs93zezW+taMg01Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dc2fa3acb4861740a6409a75a339f091e0b1ea8adb6d852b00c2991e280c67d1","last_reissued_at":"2026-07-05T07:05:52.337521Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:05:52.337521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.17770","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":"2026-07-05T07:05:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ggLC5FHNEby3TSdtssA+Rhbw6I3FlWHW2jjnNYaLHPqdUmxh+EZp56ABko1UK3riGNn1a3BRIBFCkglpxu6DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:30:33.762717Z"},"content_sha256":"1f358776a4e93e0856d235272c5c5b7e2fd5edfe2bd226144f6db131a91fcc29","schema_version":"1.0","event_id":"sha256:1f358776a4e93e0856d235272c5c5b7e2fd5edfe2bd226144f6db131a91fcc29"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3QX2HLFUQYLUBJSATJ22GOPQSH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GROOViST: A Metric for Grounding Objects in Visual Storytelling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.CV","cs.LG"],"primary_cat":"cs.AI","authors_text":"Aditya K Surikuchi, Raquel Fern\\'andez, Sandro Pezzelle","submitted_at":"2023-10-26T20:27:16Z","abstract_excerpt":"A proper evaluation of stories generated for a sequence of images -- the task commonly referred to as visual storytelling -- must consider multiple aspects, such as coherence, grammatical correctness, and visual grounding. In this work, we focus on evaluating the degree of grounding, that is, the extent to which a story is about the entities shown in the images. We analyze current metrics, both designed for this purpose and for general vision-text alignment. Given their observed shortcomings, we propose a novel evaluation tool, GROOViST, that accounts for cross-modal dependencies, temporal mis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.17770","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/2310.17770/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":"2026-07-05T07:05:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Qktk6uaJXY5HhSmJJxTbMXJfefirsMEYT3ExkfCZApj9pZCpmbVVTQUSxQh7f4MMbyYIhw6i06z7dT/JWDGDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:30:33.763515Z"},"content_sha256":"d11309c62d14687fb1563d3caa3d51646466fe664e6db62dd51a0eab4683c60c","schema_version":"1.0","event_id":"sha256:d11309c62d14687fb1563d3caa3d51646466fe664e6db62dd51a0eab4683c60c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3QX2HLFUQYLUBJSATJ22GOPQSH/bundle.json","state_url":"https://pith.science/pith/3QX2HLFUQYLUBJSATJ22GOPQSH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3QX2HLFUQYLUBJSATJ22GOPQSH/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":"2026-08-10T14:30:33Z","links":{"resolver":"https://pith.science/pith/3QX2HLFUQYLUBJSATJ22GOPQSH","bundle":"https://pith.science/pith/3QX2HLFUQYLUBJSATJ22GOPQSH/bundle.json","state":"https://pith.science/pith/3QX2HLFUQYLUBJSATJ22GOPQSH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3QX2HLFUQYLUBJSATJ22GOPQSH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3QX2HLFUQYLUBJSATJ22GOPQSH","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":"0c08a48403bab3559fb83fc22416bb329c2910c672ba92cc8b2f62fcf4ffe357","cross_cats_sorted":["cs.CL","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-10-26T20:27:16Z","title_canon_sha256":"f72892dce2cc67e2420de3ab5cd75ed41997b6cecd40b1cdbdd1ed869917b4e2"},"schema_version":"1.0","source":{"id":"2310.17770","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.17770","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"arxiv_version","alias_value":"2310.17770v1","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.17770","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"pith_short_12","alias_value":"3QX2HLFUQYLU","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"pith_short_16","alias_value":"3QX2HLFUQYLUBJSA","created_at":"2026-07-05T07:05:52Z"},{"alias_kind":"pith_short_8","alias_value":"3QX2HLFU","created_at":"2026-07-05T07:05:52Z"}],"graph_snapshots":[{"event_id":"sha256:d11309c62d14687fb1563d3caa3d51646466fe664e6db62dd51a0eab4683c60c","target":"graph","created_at":"2026-07-05T07:05:52Z","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/2310.17770/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A proper evaluation of stories generated for a sequence of images -- the task commonly referred to as visual storytelling -- must consider multiple aspects, such as coherence, grammatical correctness, and visual grounding. In this work, we focus on evaluating the degree of grounding, that is, the extent to which a story is about the entities shown in the images. We analyze current metrics, both designed for this purpose and for general vision-text alignment. Given their observed shortcomings, we propose a novel evaluation tool, GROOViST, that accounts for cross-modal dependencies, temporal mis","authors_text":"Aditya K Surikuchi, Raquel Fern\\'andez, Sandro Pezzelle","cross_cats":["cs.CL","cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-10-26T20:27:16Z","title":"GROOViST: A Metric for Grounding Objects in Visual Storytelling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.17770","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":"sha256:1f358776a4e93e0856d235272c5c5b7e2fd5edfe2bd226144f6db131a91fcc29","target":"record","created_at":"2026-07-05T07:05:52Z","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":"0c08a48403bab3559fb83fc22416bb329c2910c672ba92cc8b2f62fcf4ffe357","cross_cats_sorted":["cs.CL","cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-10-26T20:27:16Z","title_canon_sha256":"f72892dce2cc67e2420de3ab5cd75ed41997b6cecd40b1cdbdd1ed869917b4e2"},"schema_version":"1.0","source":{"id":"2310.17770","kind":"arxiv","version":1}},"canonical_sha256":"dc2fa3acb4861740a6409a75a339f091e0b1ea8adb6d852b00c2991e280c67d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc2fa3acb4861740a6409a75a339f091e0b1ea8adb6d852b00c2991e280c67d1","first_computed_at":"2026-07-05T07:05:52.337521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:05:52.337521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dH04oPKNZpZKnm4pHFb1GIIiQBS/hL+Ak6bTUJGKGraWwmvkuBC9aYwVFNK6C+e7znvqJWs93zezW+taMg01Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:05:52.338012Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.17770","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f358776a4e93e0856d235272c5c5b7e2fd5edfe2bd226144f6db131a91fcc29","sha256:d11309c62d14687fb1563d3caa3d51646466fe664e6db62dd51a0eab4683c60c"],"state_sha256":"6c3172d8614882368d2d8233e5ee252c1d47984024c9e5c36b7549a85d765864"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ke5BMKnq/l14sLTxMU8B9VXN5UKnj6zyi795e3XfZeYAYYnraMvVaHe34VhwmOX8zWeLoYy1L0gQCde8TZxyDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T14:30:33.770164Z","bundle_sha256":"0fad29f3965202dd41608e76f726036e24447bec042cf281d3381d4b3bd2e7dc"}}