{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:FK7M4IAP4YFSMVGH4FLCNKCA7X","short_pith_number":"pith:FK7M4IAP","canonical_record":{"source":{"id":"2607.02269","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T14:52:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"62e17f45adc45a53badac305adf1c459fd1b99c138a9eeee10c93520c06b4d55","abstract_canon_sha256":"f7e83eea18d561092ef19ef850a92f9fa1d015545ba187e0a0a942023900f3d4"},"schema_version":"1.0"},"canonical_sha256":"2abece200fe60b2654c7e15626a840fde1836b98dc44304831c6d4b96fbb17a7","source":{"kind":"arxiv","id":"2607.02269","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02269","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02269v1","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02269","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"FK7M4IAP4YFS","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"FK7M4IAP4YFSMVGH","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"FK7M4IAP","created_at":"2026-07-03T01:17:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:FK7M4IAP4YFSMVGH4FLCNKCA7X","target":"record","payload":{"canonical_record":{"source":{"id":"2607.02269","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T14:52:45Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"62e17f45adc45a53badac305adf1c459fd1b99c138a9eeee10c93520c06b4d55","abstract_canon_sha256":"f7e83eea18d561092ef19ef850a92f9fa1d015545ba187e0a0a942023900f3d4"},"schema_version":"1.0"},"canonical_sha256":"2abece200fe60b2654c7e15626a840fde1836b98dc44304831c6d4b96fbb17a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:47.099433Z","signature_b64":"m3s6MCFSo+vP2ALMI2HsKWp/wFPniXwxPZLZ+p9UbwjU7sjKINGN9izINuAFq1zjqlgAc6TC1j/uzvhCNb8rCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2abece200fe60b2654c7e15626a840fde1836b98dc44304831c6d4b96fbb17a7","last_reissued_at":"2026-07-03T01:17:47.098939Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:47.098939Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.02269","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":"2026-07-03T01:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lmqAw4zAHHQAhIivPI0a8txGhMOZDNYDoEdqMsw0OGaMH3HqtJBJ0yzYaRnIzOBdVgd6z2aYJaf8RwA79YmpAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T13:39:52.959854Z"},"content_sha256":"6d9e4023bc9fda2d77f621aa6a8f8402f0369fc14ed38097a88fc1e1e98528e1","schema_version":"1.0","event_id":"sha256:6d9e4023bc9fda2d77f621aa6a8f8402f0369fc14ed38097a88fc1e1e98528e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:FK7M4IAP4YFSMVGH4FLCNKCA7X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Hideo Saito, Hiroki Kajita, Kanta Sawafuji, Reina Ishikawa, Rintaro Otsubo, Ryo Fujii, Ryo Hachiuma, Shigeki Sakai, Taiki Kanaya","submitted_at":"2026-07-02T14:52:45Z","abstract_excerpt":"Vision-Language Models (VLMs) have demonstrated immense promise in Spatio-Temporal Video Grounding (STVG). However, current evaluation protocols are largely confined to zero-shot assessments on general, daily-life benchmarks. This creates a critical disconnect from real-world applications in specialized fields, where models inevitably encounter rare visual concepts and complex spatio-temporal dynamics. Since exhaustive pre-training across infinite data distributions is infeasible, the ability to adapt to novel domains is essential. To bridge this gap, we introduce AnyGroundBench, a domain-adap"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02269","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/2607.02269/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":"2026-07-03T01:17:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6d3Pd/rYQIpqoFniL+kJ6SE99qY5xB9wkZpJxetbCL2l0O3IeuBQxcSOvHCjaDCjfZPqthgQf0ugO3GLphZwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T13:39:52.960230Z"},"content_sha256":"cccdd4d3a93d969c3978653cb5283574cebb019dc677ca12001835889da812b0","schema_version":"1.0","event_id":"sha256:cccdd4d3a93d969c3978653cb5283574cebb019dc677ca12001835889da812b0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FK7M4IAP4YFSMVGH4FLCNKCA7X/bundle.json","state_url":"https://pith.science/pith/FK7M4IAP4YFSMVGH4FLCNKCA7X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FK7M4IAP4YFSMVGH4FLCNKCA7X/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":"2026-07-04T13:39:52Z","links":{"resolver":"https://pith.science/pith/FK7M4IAP4YFSMVGH4FLCNKCA7X","bundle":"https://pith.science/pith/FK7M4IAP4YFSMVGH4FLCNKCA7X/bundle.json","state":"https://pith.science/pith/FK7M4IAP4YFSMVGH4FLCNKCA7X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FK7M4IAP4YFSMVGH4FLCNKCA7X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FK7M4IAP4YFSMVGH4FLCNKCA7X","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":"f7e83eea18d561092ef19ef850a92f9fa1d015545ba187e0a0a942023900f3d4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T14:52:45Z","title_canon_sha256":"62e17f45adc45a53badac305adf1c459fd1b99c138a9eeee10c93520c06b4d55"},"schema_version":"1.0","source":{"id":"2607.02269","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.02269","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"arxiv_version","alias_value":"2607.02269v1","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.02269","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"pith_short_12","alias_value":"FK7M4IAP4YFS","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"pith_short_16","alias_value":"FK7M4IAP4YFSMVGH","created_at":"2026-07-03T01:17:47Z"},{"alias_kind":"pith_short_8","alias_value":"FK7M4IAP","created_at":"2026-07-03T01:17:47Z"}],"graph_snapshots":[{"event_id":"sha256:cccdd4d3a93d969c3978653cb5283574cebb019dc677ca12001835889da812b0","target":"graph","created_at":"2026-07-03T01:17:47Z","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/2607.02269/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language Models (VLMs) have demonstrated immense promise in Spatio-Temporal Video Grounding (STVG). However, current evaluation protocols are largely confined to zero-shot assessments on general, daily-life benchmarks. This creates a critical disconnect from real-world applications in specialized fields, where models inevitably encounter rare visual concepts and complex spatio-temporal dynamics. Since exhaustive pre-training across infinite data distributions is infeasible, the ability to adapt to novel domains is essential. To bridge this gap, we introduce AnyGroundBench, a domain-adap","authors_text":"Hideo Saito, Hiroki Kajita, Kanta Sawafuji, Reina Ishikawa, Rintaro Otsubo, Ryo Fujii, Ryo Hachiuma, Shigeki Sakai, Taiki Kanaya","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T14:52:45Z","title":"AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.02269","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":"sha256:6d9e4023bc9fda2d77f621aa6a8f8402f0369fc14ed38097a88fc1e1e98528e1","target":"record","created_at":"2026-07-03T01:17:47Z","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":"f7e83eea18d561092ef19ef850a92f9fa1d015545ba187e0a0a942023900f3d4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-02T14:52:45Z","title_canon_sha256":"62e17f45adc45a53badac305adf1c459fd1b99c138a9eeee10c93520c06b4d55"},"schema_version":"1.0","source":{"id":"2607.02269","kind":"arxiv","version":1}},"canonical_sha256":"2abece200fe60b2654c7e15626a840fde1836b98dc44304831c6d4b96fbb17a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2abece200fe60b2654c7e15626a840fde1836b98dc44304831c6d4b96fbb17a7","first_computed_at":"2026-07-03T01:17:47.098939Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:47.098939Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m3s6MCFSo+vP2ALMI2HsKWp/wFPniXwxPZLZ+p9UbwjU7sjKINGN9izINuAFq1zjqlgAc6TC1j/uzvhCNb8rCA==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:47.099433Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.02269","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6d9e4023bc9fda2d77f621aa6a8f8402f0369fc14ed38097a88fc1e1e98528e1","sha256:cccdd4d3a93d969c3978653cb5283574cebb019dc677ca12001835889da812b0"],"state_sha256":"38315e2674a34c5d0f7dffb0cc66774569f3a3205104a7450e4e5824adf1693c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FFCT+TUIBjRjmfW+FWqfRuOgy/ZNUH7hcNngxlNpthLBcmAJkW+/jLx5PcWKOkrcWEhwRGsbTbWN4XvAG9N+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T13:39:52.962156Z","bundle_sha256":"0da5af447f97f463b8f2c751e6e9325409c0024d742b90648d985f452c29aed5"}}