{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MTNBGGJQJOCBQTJH33BZ4H5W63","short_pith_number":"pith:MTNBGGJQ","canonical_record":{"source":{"id":"2508.11170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T02:40:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c995136758b5bbc2ce49619fac769d57c8f8321e77fbb22d2edae9fc0a688b3d","abstract_canon_sha256":"f912188fca4daab965da85532b02e6e58a2897d27d6325a0de4f247caccfd31f"},"schema_version":"1.0"},"canonical_sha256":"64da1319304b84184d27dec39e1fb6f6cdbd3a1948253b3cf38451f308825da6","source":{"kind":"arxiv","id":"2508.11170","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11170","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11170v1","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11170","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"pith_short_12","alias_value":"MTNBGGJQJOCB","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"pith_short_16","alias_value":"MTNBGGJQJOCBQTJH","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"pith_short_8","alias_value":"MTNBGGJQ","created_at":"2026-07-05T11:54:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MTNBGGJQJOCBQTJH33BZ4H5W63","target":"record","payload":{"canonical_record":{"source":{"id":"2508.11170","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T02:40:43Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c995136758b5bbc2ce49619fac769d57c8f8321e77fbb22d2edae9fc0a688b3d","abstract_canon_sha256":"f912188fca4daab965da85532b02e6e58a2897d27d6325a0de4f247caccfd31f"},"schema_version":"1.0"},"canonical_sha256":"64da1319304b84184d27dec39e1fb6f6cdbd3a1948253b3cf38451f308825da6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:54:19.785642Z","signature_b64":"XinAxhJxNGPN4UDHIj3M3PIndJedRM3XY3H9OjgMBsBG7eLO9N+p8bqV2NZQ6hijLLmqcPxb0I8euCtEvuOJBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64da1319304b84184d27dec39e1fb6f6cdbd3a1948253b3cf38451f308825da6","last_reissued_at":"2026-07-05T11:54:19.785162Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:54:19.785162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.11170","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":"2026-07-05T11:54:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jdvNaEf2ULt1rAXrMuzlCfxKkXnGuTboCp6yX6Nrm+rrQ32PKa/x3PYal72zQir7rrsQPajH65m6HFp2LyivAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:27:10.016108Z"},"content_sha256":"d5f28253e86419ffc8969fb4ac6d6dc90ddc7d66b52ec90c33ced18d608cf05e","schema_version":"1.0","event_id":"sha256:d5f28253e86419ffc8969fb4ac6d6dc90ddc7d66b52ec90c33ced18d608cf05e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MTNBGGJQJOCBQTJH33BZ4H5W63","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Better Supervised Fine-tuning for VQA: Integer-Only Loss","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Baihong Qian, Haotian Fan, Junhui Cui, Tao Li, Wenjie Liao, Yunqiu Wang","submitted_at":"2025-08-15T02:40:43Z","abstract_excerpt":"With the rapid advancement of vision language models(VLM), their ability to assess visual content based on specific criteria and dimensions has become increasingly critical for applications such as video-theme consistency assessment and visual quality scoring. However, existing methods often suffer from imprecise results and inefficient loss calculation, which limit the focus of the model on key evaluation indicators. To address this, we propose IOVQA(Integer-only VQA), a novel fine-tuning approach tailored for VLMs to enhance their performance in video quality assessment tasks. The key innova"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11170","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/2508.11170/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":"2026-07-05T11:54:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HJDnQ2UvREgANMn4PJu1TwlQcaFle6g3Em3K+jn/mcsX1x/+Mew5QMwLuja7oBrtlzPieArX9VIWoCMmAesdAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:27:10.016706Z"},"content_sha256":"8aaf6e8d73e3fbbb00377a31e03c7d7e7c205d1f90541dba8b88db8c39b55b65","schema_version":"1.0","event_id":"sha256:8aaf6e8d73e3fbbb00377a31e03c7d7e7c205d1f90541dba8b88db8c39b55b65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MTNBGGJQJOCBQTJH33BZ4H5W63/bundle.json","state_url":"https://pith.science/pith/MTNBGGJQJOCBQTJH33BZ4H5W63/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MTNBGGJQJOCBQTJH33BZ4H5W63/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":"2026-08-03T19:27:10Z","links":{"resolver":"https://pith.science/pith/MTNBGGJQJOCBQTJH33BZ4H5W63","bundle":"https://pith.science/pith/MTNBGGJQJOCBQTJH33BZ4H5W63/bundle.json","state":"https://pith.science/pith/MTNBGGJQJOCBQTJH33BZ4H5W63/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MTNBGGJQJOCBQTJH33BZ4H5W63/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MTNBGGJQJOCBQTJH33BZ4H5W63","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":"f912188fca4daab965da85532b02e6e58a2897d27d6325a0de4f247caccfd31f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T02:40:43Z","title_canon_sha256":"c995136758b5bbc2ce49619fac769d57c8f8321e77fbb22d2edae9fc0a688b3d"},"schema_version":"1.0","source":{"id":"2508.11170","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11170","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11170v1","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11170","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"pith_short_12","alias_value":"MTNBGGJQJOCB","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"pith_short_16","alias_value":"MTNBGGJQJOCBQTJH","created_at":"2026-07-05T11:54:19Z"},{"alias_kind":"pith_short_8","alias_value":"MTNBGGJQ","created_at":"2026-07-05T11:54:19Z"}],"graph_snapshots":[{"event_id":"sha256:8aaf6e8d73e3fbbb00377a31e03c7d7e7c205d1f90541dba8b88db8c39b55b65","target":"graph","created_at":"2026-07-05T11:54:19Z","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/2508.11170/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid advancement of vision language models(VLM), their ability to assess visual content based on specific criteria and dimensions has become increasingly critical for applications such as video-theme consistency assessment and visual quality scoring. However, existing methods often suffer from imprecise results and inefficient loss calculation, which limit the focus of the model on key evaluation indicators. To address this, we propose IOVQA(Integer-only VQA), a novel fine-tuning approach tailored for VLMs to enhance their performance in video quality assessment tasks. The key innova","authors_text":"Baihong Qian, Haotian Fan, Junhui Cui, Tao Li, Wenjie Liao, Yunqiu Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T02:40:43Z","title":"Better Supervised Fine-tuning for VQA: Integer-Only Loss"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11170","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:d5f28253e86419ffc8969fb4ac6d6dc90ddc7d66b52ec90c33ced18d608cf05e","target":"record","created_at":"2026-07-05T11:54:19Z","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":"f912188fca4daab965da85532b02e6e58a2897d27d6325a0de4f247caccfd31f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-15T02:40:43Z","title_canon_sha256":"c995136758b5bbc2ce49619fac769d57c8f8321e77fbb22d2edae9fc0a688b3d"},"schema_version":"1.0","source":{"id":"2508.11170","kind":"arxiv","version":1}},"canonical_sha256":"64da1319304b84184d27dec39e1fb6f6cdbd3a1948253b3cf38451f308825da6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"64da1319304b84184d27dec39e1fb6f6cdbd3a1948253b3cf38451f308825da6","first_computed_at":"2026-07-05T11:54:19.785162Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:19.785162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XinAxhJxNGPN4UDHIj3M3PIndJedRM3XY3H9OjgMBsBG7eLO9N+p8bqV2NZQ6hijLLmqcPxb0I8euCtEvuOJBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:19.785642Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.11170","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5f28253e86419ffc8969fb4ac6d6dc90ddc7d66b52ec90c33ced18d608cf05e","sha256:8aaf6e8d73e3fbbb00377a31e03c7d7e7c205d1f90541dba8b88db8c39b55b65"],"state_sha256":"96d35f1cfd5b6c6bd8052cf017636a6327167a694c81bf499ceb185ab76ba729"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jrzoPTNv5jxzI1PAnWjG35Zgk0yjktcsEgCnF3Ke4qZ4yGoQxsSbO063mYjKZI/hk1oPaCnjZHZpSH4TpcOhAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T19:27:10.019554Z","bundle_sha256":"dfc17672bc139435a4c6ca01f74dff926fcde313314d14e8f6b4d76cc600d846"}}