{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:T52QD6PECXM3S6C5OETXN24ZWX","short_pith_number":"pith:T52QD6PE","canonical_record":{"source":{"id":"2607.12297","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-14T03:10:11Z","cross_cats_sorted":[],"title_canon_sha256":"f730e9e1155608b2f3e5f96c2a63555febf222d683d0b9fff314eca494e10825","abstract_canon_sha256":"dfb709f10d63ccbef83e75bcdef772fd7ebcad5ec429df14f7c4b76adc4a4547"},"schema_version":"1.0"},"canonical_sha256":"9f7501f9e415d9b9785d712776eb99b5decab7fe366561dfaa9e3c0342f50beb","source":{"kind":"arxiv","id":"2607.12297","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.12297","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"arxiv_version","alias_value":"2607.12297v1","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.12297","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"pith_short_12","alias_value":"T52QD6PECXM3","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"pith_short_16","alias_value":"T52QD6PECXM3S6C5","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"pith_short_8","alias_value":"T52QD6PE","created_at":"2026-07-15T01:21:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:T52QD6PECXM3S6C5OETXN24ZWX","target":"record","payload":{"canonical_record":{"source":{"id":"2607.12297","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-14T03:10:11Z","cross_cats_sorted":[],"title_canon_sha256":"f730e9e1155608b2f3e5f96c2a63555febf222d683d0b9fff314eca494e10825","abstract_canon_sha256":"dfb709f10d63ccbef83e75bcdef772fd7ebcad5ec429df14f7c4b76adc4a4547"},"schema_version":"1.0"},"canonical_sha256":"9f7501f9e415d9b9785d712776eb99b5decab7fe366561dfaa9e3c0342f50beb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-15T01:21:26.903648Z","signature_b64":"E6rxVaUMvXMagfVDkrNEltV1xW2+tUq5F2IegN6A0MbGiBFeDRvmDE7tIlCimoXedf6ltCXQaa7YAUaM+uwnDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f7501f9e415d9b9785d712776eb99b5decab7fe366561dfaa9e3c0342f50beb","last_reissued_at":"2026-07-15T01:21:26.902713Z","signature_status":"signed_v1","first_computed_at":"2026-07-15T01:21:26.902713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.12297","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":"2026-07-15T01:21:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"slD8KVOD9fyRSIouLY5xitg4yjIUiJ+Gz3a8L5WbcV1/Ym4oOhECIt8lNvgT/AoysMsXNYg1IScj3MluR2yIBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:38:31.649610Z"},"content_sha256":"6d66e57f10418029aa1802a0fe85aced1ff1e2885b7dbee1debe4fac7ced3330","schema_version":"1.0","event_id":"sha256:6d66e57f10418029aa1802a0fe85aced1ff1e2885b7dbee1debe4fac7ced3330"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:T52QD6PECXM3S6C5OETXN24ZWX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MobileSAM2: Lightweight Segment Anything for Spatial Intelligence","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aoran Xiao, Dacheng Tao, Jiaxing Huang, Jingyi Zhang, Kai Jiang, Weiying Xie, Yufei Wang, Yunsong Li","submitted_at":"2026-07-14T03:10:11Z","abstract_excerpt":"The recent large video foundation model, SAM2, enables segment anything in both images and videos, serving as a powerful base model for various applications. However, many of such use cases require to operate on resource-constrained devices like mobile phones and laptops. In this work, we aim to make SAM2 more mobile-friendly by distilling the heavyweight SAM2 into a lightweight model, facilitating segment anything in both images and videos on mobile devices. To this end, we propose Hypergraphical Knowledge Distill (HyperKD), which introduces the idea of hypergraph into knowledge distillation,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.12297","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/2607.12297/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":"2026-07-15T01:21:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PBHgB5k5Tg6l14R79RT7R0pnCNby2cV8oWMReV96aJcVQu9uRcFtXbO8ZWrCwvG6sfC8wvYmZN7TCLwpPb8ZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:38:31.650567Z"},"content_sha256":"793991c14b1dd00c0c53578e41d7ca622b5521d685b4b40aade25e2fb67be835","schema_version":"1.0","event_id":"sha256:793991c14b1dd00c0c53578e41d7ca622b5521d685b4b40aade25e2fb67be835"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T52QD6PECXM3S6C5OETXN24ZWX/bundle.json","state_url":"https://pith.science/pith/T52QD6PECXM3S6C5OETXN24ZWX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T52QD6PECXM3S6C5OETXN24ZWX/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":"2026-08-11T07:38:31Z","links":{"resolver":"https://pith.science/pith/T52QD6PECXM3S6C5OETXN24ZWX","bundle":"https://pith.science/pith/T52QD6PECXM3S6C5OETXN24ZWX/bundle.json","state":"https://pith.science/pith/T52QD6PECXM3S6C5OETXN24ZWX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T52QD6PECXM3S6C5OETXN24ZWX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:T52QD6PECXM3S6C5OETXN24ZWX","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":"dfb709f10d63ccbef83e75bcdef772fd7ebcad5ec429df14f7c4b76adc4a4547","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-14T03:10:11Z","title_canon_sha256":"f730e9e1155608b2f3e5f96c2a63555febf222d683d0b9fff314eca494e10825"},"schema_version":"1.0","source":{"id":"2607.12297","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.12297","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"arxiv_version","alias_value":"2607.12297v1","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.12297","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"pith_short_12","alias_value":"T52QD6PECXM3","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"pith_short_16","alias_value":"T52QD6PECXM3S6C5","created_at":"2026-07-15T01:21:26Z"},{"alias_kind":"pith_short_8","alias_value":"T52QD6PE","created_at":"2026-07-15T01:21:26Z"}],"graph_snapshots":[{"event_id":"sha256:793991c14b1dd00c0c53578e41d7ca622b5521d685b4b40aade25e2fb67be835","target":"graph","created_at":"2026-07-15T01:21:26Z","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/2607.12297/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The recent large video foundation model, SAM2, enables segment anything in both images and videos, serving as a powerful base model for various applications. However, many of such use cases require to operate on resource-constrained devices like mobile phones and laptops. In this work, we aim to make SAM2 more mobile-friendly by distilling the heavyweight SAM2 into a lightweight model, facilitating segment anything in both images and videos on mobile devices. To this end, we propose Hypergraphical Knowledge Distill (HyperKD), which introduces the idea of hypergraph into knowledge distillation,","authors_text":"Aoran Xiao, Dacheng Tao, Jiaxing Huang, Jingyi Zhang, Kai Jiang, Weiying Xie, Yufei Wang, Yunsong Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-14T03:10:11Z","title":"MobileSAM2: Lightweight Segment Anything for Spatial Intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.12297","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":"sha256:6d66e57f10418029aa1802a0fe85aced1ff1e2885b7dbee1debe4fac7ced3330","target":"record","created_at":"2026-07-15T01:21:26Z","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":"dfb709f10d63ccbef83e75bcdef772fd7ebcad5ec429df14f7c4b76adc4a4547","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-14T03:10:11Z","title_canon_sha256":"f730e9e1155608b2f3e5f96c2a63555febf222d683d0b9fff314eca494e10825"},"schema_version":"1.0","source":{"id":"2607.12297","kind":"arxiv","version":1}},"canonical_sha256":"9f7501f9e415d9b9785d712776eb99b5decab7fe366561dfaa9e3c0342f50beb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f7501f9e415d9b9785d712776eb99b5decab7fe366561dfaa9e3c0342f50beb","first_computed_at":"2026-07-15T01:21:26.902713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-15T01:21:26.902713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E6rxVaUMvXMagfVDkrNEltV1xW2+tUq5F2IegN6A0MbGiBFeDRvmDE7tIlCimoXedf6ltCXQaa7YAUaM+uwnDg==","signature_status":"signed_v1","signed_at":"2026-07-15T01:21:26.903648Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.12297","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d66e57f10418029aa1802a0fe85aced1ff1e2885b7dbee1debe4fac7ced3330","sha256:793991c14b1dd00c0c53578e41d7ca622b5521d685b4b40aade25e2fb67be835"],"state_sha256":"bdbcc5faff5906feac97c8ac61a5b21b6f0e43c571be6187da9451ba50d28388"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"62kL5zRml+aTJsj62dZaeGSgwK7Jw/qLfkwqYaXhdsGRH/1j+AkArMxfamSC5ZQifkM65n7RI3yP8jw635fmBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T07:38:31.694226Z","bundle_sha256":"9d2fe7bba713e743f82dbc2a534222b0a17e7e95958b9767745d3d6f0ef12c9a"}}