{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FYHLX6QGYOZGQY4BJOYLEJQKRT","short_pith_number":"pith:FYHLX6QG","canonical_record":{"source":{"id":"2502.11168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-16T15:38:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"50a2a5f2d9f2a58cfd4cfaa7ad898aa6f297536f0395db7f15d6d5ceadeb7d21","abstract_canon_sha256":"a3709560bc934f78fdbd57b65f18a3a81c1a2833669aba44ff926e265a40ac1b"},"schema_version":"1.0"},"canonical_sha256":"2e0ebbfa06c3b26863814bb0b2260a8cda2ecc0dd9850c0f7a3e75cf41c065ce","source":{"kind":"arxiv","id":"2502.11168","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11168","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11168v1","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11168","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"pith_short_12","alias_value":"FYHLX6QGYOZG","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"pith_short_16","alias_value":"FYHLX6QGYOZGQY4B","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"pith_short_8","alias_value":"FYHLX6QG","created_at":"2026-07-05T10:15:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FYHLX6QGYOZGQY4BJOYLEJQKRT","target":"record","payload":{"canonical_record":{"source":{"id":"2502.11168","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-16T15:38:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"50a2a5f2d9f2a58cfd4cfaa7ad898aa6f297536f0395db7f15d6d5ceadeb7d21","abstract_canon_sha256":"a3709560bc934f78fdbd57b65f18a3a81c1a2833669aba44ff926e265a40ac1b"},"schema_version":"1.0"},"canonical_sha256":"2e0ebbfa06c3b26863814bb0b2260a8cda2ecc0dd9850c0f7a3e75cf41c065ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:15:04.645680Z","signature_b64":"TsrM/qHlCFsXbhNsGq8YguMsdM07lMpnEfdF+Ra518Vxqbhmwrfh//ou5FpUVfdtvKaDXqWK+WAkcfPqSyZxCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e0ebbfa06c3b26863814bb0b2260a8cda2ecc0dd9850c0f7a3e75cf41c065ce","last_reissued_at":"2026-07-05T10:15:04.645114Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:15:04.645114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.11168","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":"2026-07-05T10:15:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uFxZAwd5Bwl711a84zf+iyQ8i+J4Tda8kn7rJdN4KYaACqShEMRa1q55cU78Pt/LX+9mRAmE2KPsE+JNDmWtBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:01:26.459968Z"},"content_sha256":"1d30e3c244e5fe5d3401f8f8d380f742dfbf20a1ab7104c0667f3ece5768dfa4","schema_version":"1.0","event_id":"sha256:1d30e3c244e5fe5d3401f8f8d380f742dfbf20a1ab7104c0667f3ece5768dfa4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FYHLX6QGYOZGQY4BJOYLEJQKRT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chenxi Luo, Heng Fan, Libo Zhang, Tiejian Luo, Xin Gu, Yan Huang, Yaojie Shen, Yuewei Lin","submitted_at":"2025-02-16T15:38:33Z","abstract_excerpt":"Transformer has attracted increasing interest in STVG, owing to its end-to-end pipeline and promising result. Existing Transformer-based STVG approaches often leverage a set of object queries, which are initialized simply using zeros and then gradually learn target position information via iterative interactions with multimodal features, for spatial and temporal localization. Despite simplicity, these zero object queries, due to lacking target-specific cues, are hard to learn discriminative target information from interactions with multimodal features in complicated scenarios (\\e.g., with dist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11168","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/2502.11168/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":"2026-07-05T10:15:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GrQ2NoMjrDH6A98mh4bB99JO6hWSV7NauPGRt/+4XTb+dC8F7vpTl1hWbbnX1oRavHtv2eCBvMBjRIbXor87Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:01:26.460870Z"},"content_sha256":"e3da9a09e0fb6a2fb7e9124a933992d7cda79615a7a1f7f07149e90ee6ab96f2","schema_version":"1.0","event_id":"sha256:e3da9a09e0fb6a2fb7e9124a933992d7cda79615a7a1f7f07149e90ee6ab96f2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FYHLX6QGYOZGQY4BJOYLEJQKRT/bundle.json","state_url":"https://pith.science/pith/FYHLX6QGYOZGQY4BJOYLEJQKRT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FYHLX6QGYOZGQY4BJOYLEJQKRT/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":"2026-08-09T21:01:26Z","links":{"resolver":"https://pith.science/pith/FYHLX6QGYOZGQY4BJOYLEJQKRT","bundle":"https://pith.science/pith/FYHLX6QGYOZGQY4BJOYLEJQKRT/bundle.json","state":"https://pith.science/pith/FYHLX6QGYOZGQY4BJOYLEJQKRT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FYHLX6QGYOZGQY4BJOYLEJQKRT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FYHLX6QGYOZGQY4BJOYLEJQKRT","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":"a3709560bc934f78fdbd57b65f18a3a81c1a2833669aba44ff926e265a40ac1b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-16T15:38:33Z","title_canon_sha256":"50a2a5f2d9f2a58cfd4cfaa7ad898aa6f297536f0395db7f15d6d5ceadeb7d21"},"schema_version":"1.0","source":{"id":"2502.11168","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11168","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11168v1","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11168","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"pith_short_12","alias_value":"FYHLX6QGYOZG","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"pith_short_16","alias_value":"FYHLX6QGYOZGQY4B","created_at":"2026-07-05T10:15:04Z"},{"alias_kind":"pith_short_8","alias_value":"FYHLX6QG","created_at":"2026-07-05T10:15:04Z"}],"graph_snapshots":[{"event_id":"sha256:e3da9a09e0fb6a2fb7e9124a933992d7cda79615a7a1f7f07149e90ee6ab96f2","target":"graph","created_at":"2026-07-05T10:15:04Z","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/2502.11168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformer has attracted increasing interest in STVG, owing to its end-to-end pipeline and promising result. Existing Transformer-based STVG approaches often leverage a set of object queries, which are initialized simply using zeros and then gradually learn target position information via iterative interactions with multimodal features, for spatial and temporal localization. Despite simplicity, these zero object queries, due to lacking target-specific cues, are hard to learn discriminative target information from interactions with multimodal features in complicated scenarios (\\e.g., with dist","authors_text":"Chenxi Luo, Heng Fan, Libo Zhang, Tiejian Luo, Xin Gu, Yan Huang, Yaojie Shen, Yuewei Lin","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-16T15:38:33Z","title":"Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11168","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":"sha256:1d30e3c244e5fe5d3401f8f8d380f742dfbf20a1ab7104c0667f3ece5768dfa4","target":"record","created_at":"2026-07-05T10:15:04Z","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":"a3709560bc934f78fdbd57b65f18a3a81c1a2833669aba44ff926e265a40ac1b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-02-16T15:38:33Z","title_canon_sha256":"50a2a5f2d9f2a58cfd4cfaa7ad898aa6f297536f0395db7f15d6d5ceadeb7d21"},"schema_version":"1.0","source":{"id":"2502.11168","kind":"arxiv","version":1}},"canonical_sha256":"2e0ebbfa06c3b26863814bb0b2260a8cda2ecc0dd9850c0f7a3e75cf41c065ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e0ebbfa06c3b26863814bb0b2260a8cda2ecc0dd9850c0f7a3e75cf41c065ce","first_computed_at":"2026-07-05T10:15:04.645114Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:04.645114Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TsrM/qHlCFsXbhNsGq8YguMsdM07lMpnEfdF+Ra518Vxqbhmwrfh//ou5FpUVfdtvKaDXqWK+WAkcfPqSyZxCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:04.645680Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.11168","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d30e3c244e5fe5d3401f8f8d380f742dfbf20a1ab7104c0667f3ece5768dfa4","sha256:e3da9a09e0fb6a2fb7e9124a933992d7cda79615a7a1f7f07149e90ee6ab96f2"],"state_sha256":"6c3cbfec534c05bf4cbbb39ef203e10500156d17558ec46e3884546572e7af6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pm6HzRRZNd1AxNnieZPSbm6zzTlq8xvBp2Hii83fGLbZvjMK3e3FullCsbHIkJVpp3dazdRXijVDpRceqKcDCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:01:26.467478Z","bundle_sha256":"613844156ea8c33a11cfc4ab69a5da06a5d590646fffcf6770ccd370c1ce57e8"}}