{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TL4H77GRG3TWTGOOSX32GILN27","short_pith_number":"pith:TL4H77GR","canonical_record":{"source":{"id":"2406.14492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-20T16:56:11Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"b504993cb37173bef9bf7450ec19aa4e85617a8dc7219d0948dff49549ef9e00","abstract_canon_sha256":"1215fb8b8fa722eb366d1c58d5991cd6e4734c4801571f00ad90b89b2598e10d"},"schema_version":"1.0"},"canonical_sha256":"9af87ffcd136e76999ce95f7a3216dd7e58529e27d4e997a2dd06ebbc5774722","source":{"kind":"arxiv","id":"2406.14492","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.14492","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"arxiv_version","alias_value":"2406.14492v1","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.14492","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"pith_short_12","alias_value":"TL4H77GRG3TW","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"pith_short_16","alias_value":"TL4H77GRG3TWTGOO","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"pith_short_8","alias_value":"TL4H77GR","created_at":"2026-07-05T08:34:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TL4H77GRG3TWTGOOSX32GILN27","target":"record","payload":{"canonical_record":{"source":{"id":"2406.14492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-20T16:56:11Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"b504993cb37173bef9bf7450ec19aa4e85617a8dc7219d0948dff49549ef9e00","abstract_canon_sha256":"1215fb8b8fa722eb366d1c58d5991cd6e4734c4801571f00ad90b89b2598e10d"},"schema_version":"1.0"},"canonical_sha256":"9af87ffcd136e76999ce95f7a3216dd7e58529e27d4e997a2dd06ebbc5774722","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:34:51.501602Z","signature_b64":"h84HHbCzipBp4rW/wS1/4MSOMVZtRNb+8Roj4sJbGTDPwNZFc1dd2e0H6ZkqvgNhXEH71qA3jvOioLZRw+Y1Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9af87ffcd136e76999ce95f7a3216dd7e58529e27d4e997a2dd06ebbc5774722","last_reissued_at":"2026-07-05T08:34:51.501155Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:34:51.501155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.14492","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":"2026-07-05T08:34:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MEShnSb8NzljQK9aOWnFodwBmD6OXTK9pBZpJDXanB1uUu5bUT8sFb3SXhWsnwCvg3K2fTc69Hl1DyCJ6GQODw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:52:10.291589Z"},"content_sha256":"4ac2bc87cfe6bfb9308d27e8e2f26a00c041333af58d1f4fb610292475244fa7","schema_version":"1.0","event_id":"sha256:4ac2bc87cfe6bfb9308d27e8e2f26a00c041333af58d1f4fb610292475244fa7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TL4H77GRG3TWTGOOSX32GILN27","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Goran Glava\\v{s}, Gregor Geigle, Radu Timofte","submitted_at":"2024-06-20T16:56:11Z","abstract_excerpt":"Large vision-language models (LVLMs) have recently dramatically pushed the state of the art in image captioning and many image understanding tasks (e.g., visual question answering). LVLMs, however, often \\textit{hallucinate} and produce captions that mention concepts that cannot be found in the image. These hallucinations erode the trustworthiness of LVLMs and are arguably among the main obstacles to their ubiquitous adoption. Recent work suggests that addition of grounding objectives -- those that explicitly align image regions or objects to text spans -- reduces the amount of LVLM hallucinat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.14492","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/2406.14492/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":"2026-07-05T08:34:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hhD7jCfCwBDo4QceKLA5rHy9MarYKAdc3rtFfmO/LOUVJz/CoslrzICePYQpD2NPjmi27sIHnaXWN1y7a7u2Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T04:52:10.292271Z"},"content_sha256":"b91ddaca3328e5b1f9e4e2e37b51e5337b90dde8b39c2dc19207c0b1bd9207f5","schema_version":"1.0","event_id":"sha256:b91ddaca3328e5b1f9e4e2e37b51e5337b90dde8b39c2dc19207c0b1bd9207f5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TL4H77GRG3TWTGOOSX32GILN27/bundle.json","state_url":"https://pith.science/pith/TL4H77GRG3TWTGOOSX32GILN27/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TL4H77GRG3TWTGOOSX32GILN27/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":"2026-08-18T04:52:10Z","links":{"resolver":"https://pith.science/pith/TL4H77GRG3TWTGOOSX32GILN27","bundle":"https://pith.science/pith/TL4H77GRG3TWTGOOSX32GILN27/bundle.json","state":"https://pith.science/pith/TL4H77GRG3TWTGOOSX32GILN27/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TL4H77GRG3TWTGOOSX32GILN27/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TL4H77GRG3TWTGOOSX32GILN27","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":"1215fb8b8fa722eb366d1c58d5991cd6e4734c4801571f00ad90b89b2598e10d","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-20T16:56:11Z","title_canon_sha256":"b504993cb37173bef9bf7450ec19aa4e85617a8dc7219d0948dff49549ef9e00"},"schema_version":"1.0","source":{"id":"2406.14492","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.14492","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"arxiv_version","alias_value":"2406.14492v1","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.14492","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"pith_short_12","alias_value":"TL4H77GRG3TW","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"pith_short_16","alias_value":"TL4H77GRG3TWTGOO","created_at":"2026-07-05T08:34:51Z"},{"alias_kind":"pith_short_8","alias_value":"TL4H77GR","created_at":"2026-07-05T08:34:51Z"}],"graph_snapshots":[{"event_id":"sha256:b91ddaca3328e5b1f9e4e2e37b51e5337b90dde8b39c2dc19207c0b1bd9207f5","target":"graph","created_at":"2026-07-05T08:34:51Z","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/2406.14492/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large vision-language models (LVLMs) have recently dramatically pushed the state of the art in image captioning and many image understanding tasks (e.g., visual question answering). LVLMs, however, often \\textit{hallucinate} and produce captions that mention concepts that cannot be found in the image. These hallucinations erode the trustworthiness of LVLMs and are arguably among the main obstacles to their ubiquitous adoption. Recent work suggests that addition of grounding objectives -- those that explicitly align image regions or objects to text spans -- reduces the amount of LVLM hallucinat","authors_text":"Goran Glava\\v{s}, Gregor Geigle, Radu Timofte","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-20T16:56:11Z","title":"Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.14492","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":"sha256:4ac2bc87cfe6bfb9308d27e8e2f26a00c041333af58d1f4fb610292475244fa7","target":"record","created_at":"2026-07-05T08:34:51Z","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":"1215fb8b8fa722eb366d1c58d5991cd6e4734c4801571f00ad90b89b2598e10d","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-20T16:56:11Z","title_canon_sha256":"b504993cb37173bef9bf7450ec19aa4e85617a8dc7219d0948dff49549ef9e00"},"schema_version":"1.0","source":{"id":"2406.14492","kind":"arxiv","version":1}},"canonical_sha256":"9af87ffcd136e76999ce95f7a3216dd7e58529e27d4e997a2dd06ebbc5774722","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9af87ffcd136e76999ce95f7a3216dd7e58529e27d4e997a2dd06ebbc5774722","first_computed_at":"2026-07-05T08:34:51.501155Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:34:51.501155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h84HHbCzipBp4rW/wS1/4MSOMVZtRNb+8Roj4sJbGTDPwNZFc1dd2e0H6ZkqvgNhXEH71qA3jvOioLZRw+Y1Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:34:51.501602Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.14492","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4ac2bc87cfe6bfb9308d27e8e2f26a00c041333af58d1f4fb610292475244fa7","sha256:b91ddaca3328e5b1f9e4e2e37b51e5337b90dde8b39c2dc19207c0b1bd9207f5"],"state_sha256":"52883a9e8858dbcbffcd3695a48165ef9650b8b020bbc157f39d9e73aea942f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oybujJrQwlI/TKMfiorPNq5IKcFrW/mPx8UAqQVS4AneZg4R+AzyA5QP7Cib0ImORficNe8BEaMafVzC36PhDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T04:52:10.297507Z","bundle_sha256":"4fa14b6d747525f51b965dcfeaabfad221a40ed193a4f7904ae8ac8fe7e59e74"}}