{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WP7EHRVXTDLYE7SDAK2BE575QY","short_pith_number":"pith:WP7EHRVX","canonical_record":{"source":{"id":"2508.01540","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-03T01:49:08Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"392335f415b4ee90fd05db7469fba98f7dcf18d7f8512291a5e520659021f951","abstract_canon_sha256":"12cab6df0dfcfeb03484e1b28d194e4a56bdcfb1df9dfa1343825586e568bbc8"},"schema_version":"1.0"},"canonical_sha256":"b3fe43c6b798d7827e4302b41277fd8608f225ec8bf622932b0bf2e7331d1bf5","source":{"kind":"arxiv","id":"2508.01540","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.01540","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"arxiv_version","alias_value":"2508.01540v1","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01540","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"pith_short_12","alias_value":"WP7EHRVXTDLY","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"pith_short_16","alias_value":"WP7EHRVXTDLYE7SD","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"pith_short_8","alias_value":"WP7EHRVX","created_at":"2026-07-05T11:47:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WP7EHRVXTDLYE7SDAK2BE575QY","target":"record","payload":{"canonical_record":{"source":{"id":"2508.01540","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-03T01:49:08Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"392335f415b4ee90fd05db7469fba98f7dcf18d7f8512291a5e520659021f951","abstract_canon_sha256":"12cab6df0dfcfeb03484e1b28d194e4a56bdcfb1df9dfa1343825586e568bbc8"},"schema_version":"1.0"},"canonical_sha256":"b3fe43c6b798d7827e4302b41277fd8608f225ec8bf622932b0bf2e7331d1bf5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:47:40.816302Z","signature_b64":"5C8gpoOPvtwYdpvHT2oJORf4JsC4KXHO3qZX62fZN/PWNEjAxlCZb1SajCpHedLUvNFoZzEUrwRxJ/tvGxoMCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3fe43c6b798d7827e4302b41277fd8608f225ec8bf622932b0bf2e7331d1bf5","last_reissued_at":"2026-07-05T11:47:40.815747Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:47:40.815747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.01540","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":"2026-07-05T11:47:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZorfCArLNTRoBu6gvZi/FsucbG2NCDpWFy2gMfPbB+AgTHwVVUQp3aw7GXrtYgn1hQOiKF9WVrwNBlW9TGx4Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:46:45.547882Z"},"content_sha256":"5c341d97f041d6e51e8ea678fac6572980019c7e710ba67fb80221ce3a707fac","schema_version":"1.0","event_id":"sha256:5c341d97f041d6e51e8ea678fac6572980019c7e710ba67fb80221ce3a707fac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WP7EHRVXTDLYE7SDAK2BE575QY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Haoyu Chen, Jifa Sun, Junkang Zhang, Kang Wang, Lingshu Zhang, Meng Zhang, Qiang Wang, Shengxun Cheng, Siling Lin, Xiao Xu, Yibo Li, Yi Liu, Zeyu Xu","submitted_at":"2025-08-03T01:49:08Z","abstract_excerpt":"Vision-Language Models (VLMs) have achieved remarkable breakthroughs in recent years, enabling a diverse array of applications in everyday life. However, the substantial computational and storage demands of VLMs pose significant challenges for their efficient deployment on mobile devices, which represent the most ubiquitous and accessible computing platforms today. In this work, we introduce MagicVL-2B, a novel VLM meticulously optimized for flagship smartphones. MagicVL-2B leverages a lightweight visual encoder with fewer than 100M parameters and features a redesigned dynamic resolution schem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01540","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/2508.01540/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":"2026-07-05T11:47:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gf3a2CE2vWHDj9K1xP0YCj6f8uPKNdUS5se99CK3/vjrhrK9te4mg72n8qnFnb1B827dfHIInekH7ZLjO17PCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:46:45.548219Z"},"content_sha256":"e90315e44fe6d4dcbd15d212a294faf4a89a40dadde9001e3b56794687392059","schema_version":"1.0","event_id":"sha256:e90315e44fe6d4dcbd15d212a294faf4a89a40dadde9001e3b56794687392059"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WP7EHRVXTDLYE7SDAK2BE575QY/bundle.json","state_url":"https://pith.science/pith/WP7EHRVXTDLYE7SDAK2BE575QY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WP7EHRVXTDLYE7SDAK2BE575QY/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":"2026-08-18T22:46:45Z","links":{"resolver":"https://pith.science/pith/WP7EHRVXTDLYE7SDAK2BE575QY","bundle":"https://pith.science/pith/WP7EHRVXTDLYE7SDAK2BE575QY/bundle.json","state":"https://pith.science/pith/WP7EHRVXTDLYE7SDAK2BE575QY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WP7EHRVXTDLYE7SDAK2BE575QY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WP7EHRVXTDLYE7SDAK2BE575QY","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":"12cab6df0dfcfeb03484e1b28d194e4a56bdcfb1df9dfa1343825586e568bbc8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-03T01:49:08Z","title_canon_sha256":"392335f415b4ee90fd05db7469fba98f7dcf18d7f8512291a5e520659021f951"},"schema_version":"1.0","source":{"id":"2508.01540","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.01540","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"arxiv_version","alias_value":"2508.01540v1","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.01540","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"pith_short_12","alias_value":"WP7EHRVXTDLY","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"pith_short_16","alias_value":"WP7EHRVXTDLYE7SD","created_at":"2026-07-05T11:47:40Z"},{"alias_kind":"pith_short_8","alias_value":"WP7EHRVX","created_at":"2026-07-05T11:47:40Z"}],"graph_snapshots":[{"event_id":"sha256:e90315e44fe6d4dcbd15d212a294faf4a89a40dadde9001e3b56794687392059","target":"graph","created_at":"2026-07-05T11:47:40Z","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/2508.01540/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language Models (VLMs) have achieved remarkable breakthroughs in recent years, enabling a diverse array of applications in everyday life. However, the substantial computational and storage demands of VLMs pose significant challenges for their efficient deployment on mobile devices, which represent the most ubiquitous and accessible computing platforms today. In this work, we introduce MagicVL-2B, a novel VLM meticulously optimized for flagship smartphones. MagicVL-2B leverages a lightweight visual encoder with fewer than 100M parameters and features a redesigned dynamic resolution schem","authors_text":"Haoyu Chen, Jifa Sun, Junkang Zhang, Kang Wang, Lingshu Zhang, Meng Zhang, Qiang Wang, Shengxun Cheng, Siling Lin, Xiao Xu, Yibo Li, Yi Liu, Zeyu Xu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-03T01:49:08Z","title":"MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.01540","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":"sha256:5c341d97f041d6e51e8ea678fac6572980019c7e710ba67fb80221ce3a707fac","target":"record","created_at":"2026-07-05T11:47:40Z","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":"12cab6df0dfcfeb03484e1b28d194e4a56bdcfb1df9dfa1343825586e568bbc8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-03T01:49:08Z","title_canon_sha256":"392335f415b4ee90fd05db7469fba98f7dcf18d7f8512291a5e520659021f951"},"schema_version":"1.0","source":{"id":"2508.01540","kind":"arxiv","version":1}},"canonical_sha256":"b3fe43c6b798d7827e4302b41277fd8608f225ec8bf622932b0bf2e7331d1bf5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3fe43c6b798d7827e4302b41277fd8608f225ec8bf622932b0bf2e7331d1bf5","first_computed_at":"2026-07-05T11:47:40.815747Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:47:40.815747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5C8gpoOPvtwYdpvHT2oJORf4JsC4KXHO3qZX62fZN/PWNEjAxlCZb1SajCpHedLUvNFoZzEUrwRxJ/tvGxoMCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:47:40.816302Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.01540","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c341d97f041d6e51e8ea678fac6572980019c7e710ba67fb80221ce3a707fac","sha256:e90315e44fe6d4dcbd15d212a294faf4a89a40dadde9001e3b56794687392059"],"state_sha256":"8856a8f818ece2372cac234617c8144d99b7d37b718513322624c8c693b6b0bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S/QQ1p6i+ToCGGhsPnM/s9RXxIgeOra7FJqCLZo71GEFYv4ENBuiTY2DGXvsH5zRh+1C5/MRPzmcrmVfsDPyBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:46:45.551624Z","bundle_sha256":"3c57638f5a58ee497458b65fc7f21b5f255e7478b7c065829145070f6d403f4e"}}