{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CR7ZYOF2ERK5XMQ37UV27JNGXG","short_pith_number":"pith:CR7ZYOF2","canonical_record":{"source":{"id":"2504.14429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-20T00:10:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3da5e908515e2c68a7ee2b1d4456ccb3d8387fed1892166d0ce8a3a5e233394c","abstract_canon_sha256":"cdaddddcd855369a50c0d8b10b949f51d8a808cd085f468b7046022f40592f31"},"schema_version":"1.0"},"canonical_sha256":"147f9c38ba2455dbb21bfd2bafa5a6b99a37f0604d1eadd3986447384597f127","source":{"kind":"arxiv","id":"2504.14429","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.14429","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"arxiv_version","alias_value":"2504.14429v1","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.14429","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"pith_short_12","alias_value":"CR7ZYOF2ERK5","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"pith_short_16","alias_value":"CR7ZYOF2ERK5XMQ3","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"pith_short_8","alias_value":"CR7ZYOF2","created_at":"2026-07-05T10:51:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CR7ZYOF2ERK5XMQ37UV27JNGXG","target":"record","payload":{"canonical_record":{"source":{"id":"2504.14429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-20T00:10:44Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3da5e908515e2c68a7ee2b1d4456ccb3d8387fed1892166d0ce8a3a5e233394c","abstract_canon_sha256":"cdaddddcd855369a50c0d8b10b949f51d8a808cd085f468b7046022f40592f31"},"schema_version":"1.0"},"canonical_sha256":"147f9c38ba2455dbb21bfd2bafa5a6b99a37f0604d1eadd3986447384597f127","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:43.219744Z","signature_b64":"1U2tDGHqs3ljwLvQGEF0YyiqFadPTksfUDhuSWn3VHJ4KvoJCnDZ4i3nv93VMx0xJP+HrF7P1zZFZZSTVy+NBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"147f9c38ba2455dbb21bfd2bafa5a6b99a37f0604d1eadd3986447384597f127","last_reissued_at":"2026-07-05T10:51:43.219222Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:43.219222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.14429","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":"2026-07-05T10:51:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LOtd7QG9TVyHd3rU3KhWxXSV/RFdnNu8IT9s0y3UIma/RIGfhoX2D3uUTIFX7cnwHyk98gAm1b12vYuRnUMRDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T17:18:33.283333Z"},"content_sha256":"ad4faf3c6d8f15fe5b16ceb427b69482caca5a1da464926a16136a1b05dac75c","schema_version":"1.0","event_id":"sha256:ad4faf3c6d8f15fe5b16ceb427b69482caca5a1da464926a16136a1b05dac75c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CR7ZYOF2ERK5XMQ37UV27JNGXG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ahmad Khalil, Alioune Ngom, Mahmoud Khalil","submitted_at":"2025-04-20T00:10:44Z","abstract_excerpt":"Large Language Models (LLMs) have transformed natural language processing (NLP) tasks, but they suffer from hallucination, generating plausible yet factually incorrect content. This issue extends to Video-Language Models (VideoLLMs), where textual descriptions may inaccurately represent visual content, resulting in multi-modal hallucinations. In this paper, we address hallucination in ResNetVLLM, a video-language model combining ResNet visual encoders with LLMs. We introduce a two-step protocol: (1) a faithfulness detection strategy that uses a modified Lynx model to assess semantic alignment "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.14429","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/2504.14429/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":"2026-07-05T10:51:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NU6ATjDhUMweZivPLJLQwMFULqeHCrgHyWsYpdahG8MS3WOJKfDyNjvKsxoD1NvghRdWFCi+ikpmOYxuWof4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T17:18:33.284392Z"},"content_sha256":"256ee92181d364bfa4b100ab92109597b5e9917f499b789ba8ac4c484adebaab","schema_version":"1.0","event_id":"sha256:256ee92181d364bfa4b100ab92109597b5e9917f499b789ba8ac4c484adebaab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CR7ZYOF2ERK5XMQ37UV27JNGXG/bundle.json","state_url":"https://pith.science/pith/CR7ZYOF2ERK5XMQ37UV27JNGXG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CR7ZYOF2ERK5XMQ37UV27JNGXG/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":"2026-08-05T17:18:33Z","links":{"resolver":"https://pith.science/pith/CR7ZYOF2ERK5XMQ37UV27JNGXG","bundle":"https://pith.science/pith/CR7ZYOF2ERK5XMQ37UV27JNGXG/bundle.json","state":"https://pith.science/pith/CR7ZYOF2ERK5XMQ37UV27JNGXG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CR7ZYOF2ERK5XMQ37UV27JNGXG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CR7ZYOF2ERK5XMQ37UV27JNGXG","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":"cdaddddcd855369a50c0d8b10b949f51d8a808cd085f468b7046022f40592f31","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-20T00:10:44Z","title_canon_sha256":"3da5e908515e2c68a7ee2b1d4456ccb3d8387fed1892166d0ce8a3a5e233394c"},"schema_version":"1.0","source":{"id":"2504.14429","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.14429","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"arxiv_version","alias_value":"2504.14429v1","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.14429","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"pith_short_12","alias_value":"CR7ZYOF2ERK5","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"pith_short_16","alias_value":"CR7ZYOF2ERK5XMQ3","created_at":"2026-07-05T10:51:43Z"},{"alias_kind":"pith_short_8","alias_value":"CR7ZYOF2","created_at":"2026-07-05T10:51:43Z"}],"graph_snapshots":[{"event_id":"sha256:256ee92181d364bfa4b100ab92109597b5e9917f499b789ba8ac4c484adebaab","target":"graph","created_at":"2026-07-05T10:51:43Z","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/2504.14429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have transformed natural language processing (NLP) tasks, but they suffer from hallucination, generating plausible yet factually incorrect content. This issue extends to Video-Language Models (VideoLLMs), where textual descriptions may inaccurately represent visual content, resulting in multi-modal hallucinations. In this paper, we address hallucination in ResNetVLLM, a video-language model combining ResNet visual encoders with LLMs. We introduce a two-step protocol: (1) a faithfulness detection strategy that uses a modified Lynx model to assess semantic alignment ","authors_text":"Ahmad Khalil, Alioune Ngom, Mahmoud Khalil","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-20T00:10:44Z","title":"ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.14429","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:ad4faf3c6d8f15fe5b16ceb427b69482caca5a1da464926a16136a1b05dac75c","target":"record","created_at":"2026-07-05T10:51:43Z","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":"cdaddddcd855369a50c0d8b10b949f51d8a808cd085f468b7046022f40592f31","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-20T00:10:44Z","title_canon_sha256":"3da5e908515e2c68a7ee2b1d4456ccb3d8387fed1892166d0ce8a3a5e233394c"},"schema_version":"1.0","source":{"id":"2504.14429","kind":"arxiv","version":1}},"canonical_sha256":"147f9c38ba2455dbb21bfd2bafa5a6b99a37f0604d1eadd3986447384597f127","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"147f9c38ba2455dbb21bfd2bafa5a6b99a37f0604d1eadd3986447384597f127","first_computed_at":"2026-07-05T10:51:43.219222Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:43.219222Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1U2tDGHqs3ljwLvQGEF0YyiqFadPTksfUDhuSWn3VHJ4KvoJCnDZ4i3nv93VMx0xJP+HrF7P1zZFZZSTVy+NBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:43.219744Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.14429","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad4faf3c6d8f15fe5b16ceb427b69482caca5a1da464926a16136a1b05dac75c","sha256:256ee92181d364bfa4b100ab92109597b5e9917f499b789ba8ac4c484adebaab"],"state_sha256":"99c945661883f8888572be2b36c5ca6e67a703c5dbbcb53b5d6d0b36bf678164"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IIHpZCnvqH0LYV0Dwf6gkhKvnWVL57/GZFvKpqGg6xETgkqStSxWOPXWgMcWdtD6T1JzFAwQh+1q/wSv7jVPAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T17:18:33.290435Z","bundle_sha256":"3840cd3e5dd528a8babf299a30e1d13a04a90fe94dd4ff5d719a8d4ead621691"}}