{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VTKHOGO3V4IYFX3YTK66JJ3HSR","short_pith_number":"pith:VTKHOGO3","canonical_record":{"source":{"id":"2410.19732","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-25T17:59:09Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"f62ba6488863f3127af208c16f6df0d22029fddf6c8d96948455864dfb75732b","abstract_canon_sha256":"5ea76ddd5840cb5fc6a41a020213f75f0945971c0938aea29e90495419e8af28"},"schema_version":"1.0"},"canonical_sha256":"acd47719dbaf1182df789abde4a767946e845ef662d272806da732ec3fa6f84a","source":{"kind":"arxiv","id":"2410.19732","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.19732","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"arxiv_version","alias_value":"2410.19732v2","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.19732","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_12","alias_value":"VTKHOGO3V4IY","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_16","alias_value":"VTKHOGO3V4IYFX3Y","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_8","alias_value":"VTKHOGO3","created_at":"2026-07-05T09:52:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VTKHOGO3V4IYFX3YTK66JJ3HSR","target":"record","payload":{"canonical_record":{"source":{"id":"2410.19732","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-25T17:59:09Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"f62ba6488863f3127af208c16f6df0d22029fddf6c8d96948455864dfb75732b","abstract_canon_sha256":"5ea76ddd5840cb5fc6a41a020213f75f0945971c0938aea29e90495419e8af28"},"schema_version":"1.0"},"canonical_sha256":"acd47719dbaf1182df789abde4a767946e845ef662d272806da732ec3fa6f84a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:17.519974Z","signature_b64":"6gdKVOUPr+MQkWHk+mahsHBV975YR/4fu+QfAZkIfIKtv/zrLCAs8/3UDkn0sN6e75wVtErG7yg3bVo0w4yzAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"acd47719dbaf1182df789abde4a767946e845ef662d272806da732ec3fa6f84a","last_reissued_at":"2026-07-05T09:52:17.519457Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:17.519457Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.19732","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":"2026-07-05T09:52:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ERzqx9ETFGojMJpOYs6ukB82e+W0Yqtc+5tilExCSk3U1OkUNbt1D1KN+OSO/n5D/IMNijFyAiPCFe07C4VuBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:34:39.953156Z"},"content_sha256":"b764bcdc55682f19ad15ddd62e08725f29ef541cd4c06685e92e079a608db5de","schema_version":"1.0","event_id":"sha256:b764bcdc55682f19ad15ddd62e08725f29ef541cd4c06685e92e079a608db5de"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VTKHOGO3V4IYFX3YTK66JJ3HSR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.CL","authors_text":"Jianbing Shen, Jun Wan, Yucheng Zhou, Zhi Rao","submitted_at":"2024-10-25T17:59:09Z","abstract_excerpt":"Large Vision-Language Models (LVLMs) excel in cross-model tasks but experience performance declines in long-context reasoning due to overreliance on textual information and reduced visual dependency. In this study, we empirically analyze LVLMs in long-context reasoning, revealing that increased context length leads to a higher dependence on language at the expense of visual dependency. To address this issue, we propose a novel training-free context pruning method that selectively removes less critical textual information. Our approach enhances visual dependency and reduces textual noise, there"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.19732","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/2410.19732/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":"2026-07-05T09:52:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S05o1CBmP8TzxdNkts84aufQlkV+JB8Ay5yuOo6HzsCPRIsMw3lBttnW/S7wdLm7DShAy2Hx2AK3kQny6l9yBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T21:34:39.953653Z"},"content_sha256":"44503d67e523a1b476c2c72ebd0c91e69da1b5e664cd3c8c5e100fdc19e22492","schema_version":"1.0","event_id":"sha256:44503d67e523a1b476c2c72ebd0c91e69da1b5e664cd3c8c5e100fdc19e22492"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VTKHOGO3V4IYFX3YTK66JJ3HSR/bundle.json","state_url":"https://pith.science/pith/VTKHOGO3V4IYFX3YTK66JJ3HSR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VTKHOGO3V4IYFX3YTK66JJ3HSR/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":"2026-08-08T21:34:39Z","links":{"resolver":"https://pith.science/pith/VTKHOGO3V4IYFX3YTK66JJ3HSR","bundle":"https://pith.science/pith/VTKHOGO3V4IYFX3YTK66JJ3HSR/bundle.json","state":"https://pith.science/pith/VTKHOGO3V4IYFX3YTK66JJ3HSR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VTKHOGO3V4IYFX3YTK66JJ3HSR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VTKHOGO3V4IYFX3YTK66JJ3HSR","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":"5ea76ddd5840cb5fc6a41a020213f75f0945971c0938aea29e90495419e8af28","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-25T17:59:09Z","title_canon_sha256":"f62ba6488863f3127af208c16f6df0d22029fddf6c8d96948455864dfb75732b"},"schema_version":"1.0","source":{"id":"2410.19732","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.19732","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"arxiv_version","alias_value":"2410.19732v2","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.19732","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_12","alias_value":"VTKHOGO3V4IY","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_16","alias_value":"VTKHOGO3V4IYFX3Y","created_at":"2026-07-05T09:52:17Z"},{"alias_kind":"pith_short_8","alias_value":"VTKHOGO3","created_at":"2026-07-05T09:52:17Z"}],"graph_snapshots":[{"event_id":"sha256:44503d67e523a1b476c2c72ebd0c91e69da1b5e664cd3c8c5e100fdc19e22492","target":"graph","created_at":"2026-07-05T09:52:17Z","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/2410.19732/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Vision-Language Models (LVLMs) excel in cross-model tasks but experience performance declines in long-context reasoning due to overreliance on textual information and reduced visual dependency. In this study, we empirically analyze LVLMs in long-context reasoning, revealing that increased context length leads to a higher dependence on language at the expense of visual dependency. To address this issue, we propose a novel training-free context pruning method that selectively removes less critical textual information. Our approach enhances visual dependency and reduces textual noise, there","authors_text":"Jianbing Shen, Jun Wan, Yucheng Zhou, Zhi Rao","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-25T17:59:09Z","title":"Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.19732","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:b764bcdc55682f19ad15ddd62e08725f29ef541cd4c06685e92e079a608db5de","target":"record","created_at":"2026-07-05T09:52:17Z","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":"5ea76ddd5840cb5fc6a41a020213f75f0945971c0938aea29e90495419e8af28","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-25T17:59:09Z","title_canon_sha256":"f62ba6488863f3127af208c16f6df0d22029fddf6c8d96948455864dfb75732b"},"schema_version":"1.0","source":{"id":"2410.19732","kind":"arxiv","version":2}},"canonical_sha256":"acd47719dbaf1182df789abde4a767946e845ef662d272806da732ec3fa6f84a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"acd47719dbaf1182df789abde4a767946e845ef662d272806da732ec3fa6f84a","first_computed_at":"2026-07-05T09:52:17.519457Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:17.519457Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6gdKVOUPr+MQkWHk+mahsHBV975YR/4fu+QfAZkIfIKtv/zrLCAs8/3UDkn0sN6e75wVtErG7yg3bVo0w4yzAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:17.519974Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.19732","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b764bcdc55682f19ad15ddd62e08725f29ef541cd4c06685e92e079a608db5de","sha256:44503d67e523a1b476c2c72ebd0c91e69da1b5e664cd3c8c5e100fdc19e22492"],"state_sha256":"b4b6126d1755fb35bd5e6dc6dbc4ea3a3dbf9de26f0527e0f65e98d325ab4372"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AbZErS5eCKnDofFCuvdt0wDhzyvYcBFi/vM5gG2qVUPdtn2+aziXb3VwZ8ZQIQGz4xQ8XRnk51AvMNiEjm7aBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T21:34:39.958545Z","bundle_sha256":"66bc9e7094f8687283a79cc5073aa603103067e7d5fdf83908acf1aa25330a90"}}