{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:7UCU5OQWOTXKWNWX5OUJ3CGV2K","short_pith_number":"pith:7UCU5OQW","canonical_record":{"source":{"id":"2606.25504","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-24T07:39:01Z","cross_cats_sorted":[],"title_canon_sha256":"5529e5950b19ce2e8dae19bd14c963c331c804a9da34e67a156de4b327c079be","abstract_canon_sha256":"175864c7a73378aa7b5b53fabeaca47eb12e8085228fad3fecc06e329de7b3cf"},"schema_version":"1.0"},"canonical_sha256":"fd054eba1674eeab36d7eba89d88d5d28008560ebb944fdb44cf2c232ea8c1ee","source":{"kind":"arxiv","id":"2606.25504","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25504","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25504v1","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25504","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"pith_short_12","alias_value":"7UCU5OQWOTXK","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"pith_short_16","alias_value":"7UCU5OQWOTXKWNWX","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"pith_short_8","alias_value":"7UCU5OQW","created_at":"2026-06-25T01:18:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:7UCU5OQWOTXKWNWX5OUJ3CGV2K","target":"record","payload":{"canonical_record":{"source":{"id":"2606.25504","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-24T07:39:01Z","cross_cats_sorted":[],"title_canon_sha256":"5529e5950b19ce2e8dae19bd14c963c331c804a9da34e67a156de4b327c079be","abstract_canon_sha256":"175864c7a73378aa7b5b53fabeaca47eb12e8085228fad3fecc06e329de7b3cf"},"schema_version":"1.0"},"canonical_sha256":"fd054eba1674eeab36d7eba89d88d5d28008560ebb944fdb44cf2c232ea8c1ee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T01:18:07.264494Z","signature_b64":"tGMAlV3jeSrExC8U+MzRhoUBoC1x1KTMSW+xaBt/U0wCK1PWf3uvWyyDapQBOWGBRFh4N3CpHQ/sRvrFAxK+Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd054eba1674eeab36d7eba89d88d5d28008560ebb944fdb44cf2c232ea8c1ee","last_reissued_at":"2026-06-25T01:18:07.264100Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T01:18:07.264100Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.25504","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":"2026-06-25T01:18:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p+V8qNnqKeQF9yrJSL618xdQuXZgAQKuu9DMzWUalCdy1Qpzg7jUa3lulHW23jfL8+IJ0UzjQ4OYoNl96upgBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T14:33:43.289522Z"},"content_sha256":"a9faf5acbd8ef2c0d167feb947599af5008883bbc91ff261dde736def48c7c6b","schema_version":"1.0","event_id":"sha256:a9faf5acbd8ef2c0d167feb947599af5008883bbc91ff261dde736def48c7c6b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:7UCU5OQWOTXKWNWX5OUJ3CGV2K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Anh Do Duc, Duc Tai Nguyen, Linh K\\\"astner, Teham Buiyan, Volodymyr Shcherbyna, Zhengcheng Shen","submitted_at":"2026-06-24T07:39:01Z","abstract_excerpt":"Pedestrian simulation is a critical component for training and deploying social robot navigation approaches, yet it remains a largely rigid system that repeatedly requires manual data generation to define even simple scenarios. We propose GROVE, a text-to-scenario pedestrian simulation framework that combines state-of-the-art approaches to produce realistic, socially challenging scenarios for social robot navigation. Our framework allows users to customize one of several common presets (emergency, queuing, normal) or even enter a fully independent prompt to generate a highly customizable pedes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25504","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/2606.25504/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":"2026-06-25T01:18:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vRJDYzH8ukjc87CB1W/7zDZPxpsU6U4Gg29ZdJVPGJo3JiXVUq2NTD5eXdbNR7deiB/5wC2TV+8MRH9Ijf7HAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T14:33:43.289899Z"},"content_sha256":"0d3ffa6daa777bf60fe40559a21463a4e6753af5ad9eb1ca81ce3af2aa16ae5c","schema_version":"1.0","event_id":"sha256:0d3ffa6daa777bf60fe40559a21463a4e6753af5ad9eb1ca81ce3af2aa16ae5c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7UCU5OQWOTXKWNWX5OUJ3CGV2K/bundle.json","state_url":"https://pith.science/pith/7UCU5OQWOTXKWNWX5OUJ3CGV2K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7UCU5OQWOTXKWNWX5OUJ3CGV2K/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":"2026-06-28T14:33:43Z","links":{"resolver":"https://pith.science/pith/7UCU5OQWOTXKWNWX5OUJ3CGV2K","bundle":"https://pith.science/pith/7UCU5OQWOTXKWNWX5OUJ3CGV2K/bundle.json","state":"https://pith.science/pith/7UCU5OQWOTXKWNWX5OUJ3CGV2K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7UCU5OQWOTXKWNWX5OUJ3CGV2K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7UCU5OQWOTXKWNWX5OUJ3CGV2K","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":"175864c7a73378aa7b5b53fabeaca47eb12e8085228fad3fecc06e329de7b3cf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-24T07:39:01Z","title_canon_sha256":"5529e5950b19ce2e8dae19bd14c963c331c804a9da34e67a156de4b327c079be"},"schema_version":"1.0","source":{"id":"2606.25504","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25504","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25504v1","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25504","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"pith_short_12","alias_value":"7UCU5OQWOTXK","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"pith_short_16","alias_value":"7UCU5OQWOTXKWNWX","created_at":"2026-06-25T01:18:07Z"},{"alias_kind":"pith_short_8","alias_value":"7UCU5OQW","created_at":"2026-06-25T01:18:07Z"}],"graph_snapshots":[{"event_id":"sha256:0d3ffa6daa777bf60fe40559a21463a4e6753af5ad9eb1ca81ce3af2aa16ae5c","target":"graph","created_at":"2026-06-25T01:18:07Z","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/2606.25504/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Pedestrian simulation is a critical component for training and deploying social robot navigation approaches, yet it remains a largely rigid system that repeatedly requires manual data generation to define even simple scenarios. We propose GROVE, a text-to-scenario pedestrian simulation framework that combines state-of-the-art approaches to produce realistic, socially challenging scenarios for social robot navigation. Our framework allows users to customize one of several common presets (emergency, queuing, normal) or even enter a fully independent prompt to generate a highly customizable pedes","authors_text":"Anh Do Duc, Duc Tai Nguyen, Linh K\\\"astner, Teham Buiyan, Volodymyr Shcherbyna, Zhengcheng Shen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-24T07:39:01Z","title":"GROVE: Grounded Pedestrian Simulation via Natural Language for Interactive Social Robot Navigation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25504","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:a9faf5acbd8ef2c0d167feb947599af5008883bbc91ff261dde736def48c7c6b","target":"record","created_at":"2026-06-25T01:18:07Z","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":"175864c7a73378aa7b5b53fabeaca47eb12e8085228fad3fecc06e329de7b3cf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2026-06-24T07:39:01Z","title_canon_sha256":"5529e5950b19ce2e8dae19bd14c963c331c804a9da34e67a156de4b327c079be"},"schema_version":"1.0","source":{"id":"2606.25504","kind":"arxiv","version":1}},"canonical_sha256":"fd054eba1674eeab36d7eba89d88d5d28008560ebb944fdb44cf2c232ea8c1ee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd054eba1674eeab36d7eba89d88d5d28008560ebb944fdb44cf2c232ea8c1ee","first_computed_at":"2026-06-25T01:18:07.264100Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T01:18:07.264100Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tGMAlV3jeSrExC8U+MzRhoUBoC1x1KTMSW+xaBt/U0wCK1PWf3uvWyyDapQBOWGBRFh4N3CpHQ/sRvrFAxK+Dw==","signature_status":"signed_v1","signed_at":"2026-06-25T01:18:07.264494Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.25504","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9faf5acbd8ef2c0d167feb947599af5008883bbc91ff261dde736def48c7c6b","sha256:0d3ffa6daa777bf60fe40559a21463a4e6753af5ad9eb1ca81ce3af2aa16ae5c"],"state_sha256":"f0271eb684163415cef5cbff40cd77a81363f2462cac9c939f76f08eb09602e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fDTM+URn9lkA9vyu8lMwPx+rvYDcm5pCqbWtpcIRf4i5HRHXVqvEvyvilJOId5TCfVBLUPsjJVSUU8NjiqoHBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T14:33:43.291807Z","bundle_sha256":"a560535837d18d757eab6fcee5cdc401936c22b89dc12718de5dc4556eca46a1"}}