{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:6IBRFOBHOE3IX2J4WGUTE2P7BN","short_pith_number":"pith:6IBRFOBH","schema_version":"1.0","canonical_sha256":"f20312b82771368be93cb1a93269ff0b7b098a876bca84f4d3e70893809f96ab","source":{"kind":"arxiv","id":"2510.23905","version":2},"attestation_state":"computed","paper":{"title":"Inferring Group Intent as a Cooperative Game. An NLP-based Framework for Trajectory Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.SP","authors_text":"Shashwat Jain, Vikram Krishnamurthy, Yiming Zhang","submitted_at":"2025-10-27T22:23:53Z","abstract_excerpt":"This paper studies group target trajectory intent as the outcome of a cooperative game where the complex-spatio trajectories are modeled using an NLP-based generative model. In our framework, the group intent is specified by the characteristic function of a cooperative game, and allocations for players in the cooperative game are specified by either the core, the Shapley value, or the nucleolus. The resulting allocations induce probability distributions that govern the coordinated spatio-temporal trajectories of the targets that reflect the group's underlying intent. We address two key questio"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2510.23905","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-10-27T22:23:53Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e9f5fbb5f6130882b62ec9b768d5618b67c3c950d8ba0dc8fbfc979de3e19ff2","abstract_canon_sha256":"2ca8b2906e6b35b3d36988b4f0048ae0a087668115631d131e9675371f9fe442"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T02:05:07.383065Z","signature_b64":"frz3udqz0afTID2oxzL+iTVW1TW1SOIYQx8FTwPAkkiEWNzFJ+fD/aYjhc4qe1mIwW/346NnDr9BQdg2MBVUBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f20312b82771368be93cb1a93269ff0b7b098a876bca84f4d3e70893809f96ab","last_reissued_at":"2026-05-27T02:05:07.382141Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T02:05:07.382141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Inferring Group Intent as a Cooperative Game. An NLP-based Framework for Trajectory Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.SP","authors_text":"Shashwat Jain, Vikram Krishnamurthy, Yiming Zhang","submitted_at":"2025-10-27T22:23:53Z","abstract_excerpt":"This paper studies group target trajectory intent as the outcome of a cooperative game where the complex-spatio trajectories are modeled using an NLP-based generative model. In our framework, the group intent is specified by the characteristic function of a cooperative game, and allocations for players in the cooperative game are specified by either the core, the Shapley value, or the nucleolus. The resulting allocations induce probability distributions that govern the coordinated spatio-temporal trajectories of the targets that reflect the group's underlying intent. We address two key questio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.23905","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/2510.23905/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2510.23905","created_at":"2026-05-27T02:05:07.382285+00:00"},{"alias_kind":"arxiv_version","alias_value":"2510.23905v2","created_at":"2026-05-27T02:05:07.382285+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.23905","created_at":"2026-05-27T02:05:07.382285+00:00"},{"alias_kind":"pith_short_12","alias_value":"6IBRFOBHOE3I","created_at":"2026-05-27T02:05:07.382285+00:00"},{"alias_kind":"pith_short_16","alias_value":"6IBRFOBHOE3IX2J4","created_at":"2026-05-27T02:05:07.382285+00:00"},{"alias_kind":"pith_short_8","alias_value":"6IBRFOBH","created_at":"2026-05-27T02:05:07.382285+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN","json":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN.json","graph_json":"https://pith.science/api/pith-number/6IBRFOBHOE3IX2J4WGUTE2P7BN/graph.json","events_json":"https://pith.science/api/pith-number/6IBRFOBHOE3IX2J4WGUTE2P7BN/events.json","paper":"https://pith.science/paper/6IBRFOBH"},"agent_actions":{"view_html":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN","download_json":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN.json","view_paper":"https://pith.science/paper/6IBRFOBH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2510.23905&json=true","fetch_graph":"https://pith.science/api/pith-number/6IBRFOBHOE3IX2J4WGUTE2P7BN/graph.json","fetch_events":"https://pith.science/api/pith-number/6IBRFOBHOE3IX2J4WGUTE2P7BN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN/action/storage_attestation","attest_author":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN/action/author_attestation","sign_citation":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN/action/citation_signature","submit_replication":"https://pith.science/pith/6IBRFOBHOE3IX2J4WGUTE2P7BN/action/replication_record"}},"created_at":"2026-05-27T02:05:07.382285+00:00","updated_at":"2026-05-27T02:05:07.382285+00:00"}