{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7BC7OYOJWRQFVJY36MAUXWBVHE","short_pith_number":"pith:7BC7OYOJ","canonical_record":{"source":{"id":"2501.08500","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-01-15T00:36:53Z","cross_cats_sorted":[],"title_canon_sha256":"a624ee49d5d9947f017d543d92cfacca5d510d527031062ab986f07231343fe6","abstract_canon_sha256":"81081124fbb7df9adfd9d7e1e87b3d6bd82ac2657e615c052879217509e15684"},"schema_version":"1.0"},"canonical_sha256":"f845f761c9b4605aa71bf3014bd8353903f994e489bfcc5248456625d9c5c831","source":{"kind":"arxiv","id":"2501.08500","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.08500","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"arxiv_version","alias_value":"2501.08500v2","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.08500","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"pith_short_12","alias_value":"7BC7OYOJWRQF","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"pith_short_16","alias_value":"7BC7OYOJWRQFVJY3","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"pith_short_8","alias_value":"7BC7OYOJ","created_at":"2026-07-05T12:07:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7BC7OYOJWRQFVJY36MAUXWBVHE","target":"record","payload":{"canonical_record":{"source":{"id":"2501.08500","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-01-15T00:36:53Z","cross_cats_sorted":[],"title_canon_sha256":"a624ee49d5d9947f017d543d92cfacca5d510d527031062ab986f07231343fe6","abstract_canon_sha256":"81081124fbb7df9adfd9d7e1e87b3d6bd82ac2657e615c052879217509e15684"},"schema_version":"1.0"},"canonical_sha256":"f845f761c9b4605aa71bf3014bd8353903f994e489bfcc5248456625d9c5c831","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:07:57.671739Z","signature_b64":"UV4kV8CDm3oJHrlE6kR/cKwRPUHEciy+MTvjT1a6xTXLPpmSEYQ/bqL8fpDfNGfAUHufEf/s8YKF0gH9OLkyAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f845f761c9b4605aa71bf3014bd8353903f994e489bfcc5248456625d9c5c831","last_reissued_at":"2026-07-05T12:07:57.671180Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:07:57.671180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.08500","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:07:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tfHL1pXvT+muBGnNfYyVA9sZUpe/LTl7quI/Q09GJ/yhFmjhIGMf5NmUUSgnQ8I5spm/nSrhrCX8fiaxTj2VCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T10:33:28.145661Z"},"content_sha256":"f682e7a62582fbdee8fe4316ee316167e55156100d67370283abb839be44ef37","schema_version":"1.0","event_id":"sha256:f682e7a62582fbdee8fe4316ee316167e55156100d67370283abb839be44ef37"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7BC7OYOJWRQFVJY36MAUXWBVHE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Visual Network Analysis in Immersive Environments: A Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Daniel A. Keim, Falk Schreiber, Julius Rauscher, Karsten Klein, Lucas Joos, Maximilian T. Fischer, Tim Dwyer","submitted_at":"2025-01-15T00:36:53Z","abstract_excerpt":"The increasing complexity and volume of network data demand effective analysis approaches, with visual exploration proving particularly beneficial. Immersive technologies, such as augmented reality, virtual reality, and large display walls, have enabled the emerging field of immersive analytics, offering new opportunities to enhance user engagement, spatial awareness, and problem-solving. A growing body of work has explored immersive environments for network visualisation, ranging from design studies to fully integrated applications across various domains. Despite these advancements, the field"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.08500","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/2501.08500/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":"2026-07-05T12:07:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sQp4Iye8Q/glgaEvpY5IO+n1gkaBgk2bJDer5IDR5gdHOah3YPz5IWv+COYMu1q9clHgy/aiLd+Tfh32q6l1Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T10:33:28.145977Z"},"content_sha256":"3211af08b9a5b7e39142114686f7e4fe48121b11df114ef0b18e8df55e667b4e","schema_version":"1.0","event_id":"sha256:3211af08b9a5b7e39142114686f7e4fe48121b11df114ef0b18e8df55e667b4e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7BC7OYOJWRQFVJY36MAUXWBVHE/bundle.json","state_url":"https://pith.science/pith/7BC7OYOJWRQFVJY36MAUXWBVHE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7BC7OYOJWRQFVJY36MAUXWBVHE/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":"2026-08-20T10:33:28Z","links":{"resolver":"https://pith.science/pith/7BC7OYOJWRQFVJY36MAUXWBVHE","bundle":"https://pith.science/pith/7BC7OYOJWRQFVJY36MAUXWBVHE/bundle.json","state":"https://pith.science/pith/7BC7OYOJWRQFVJY36MAUXWBVHE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7BC7OYOJWRQFVJY36MAUXWBVHE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7BC7OYOJWRQFVJY36MAUXWBVHE","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":"81081124fbb7df9adfd9d7e1e87b3d6bd82ac2657e615c052879217509e15684","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-01-15T00:36:53Z","title_canon_sha256":"a624ee49d5d9947f017d543d92cfacca5d510d527031062ab986f07231343fe6"},"schema_version":"1.0","source":{"id":"2501.08500","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.08500","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"arxiv_version","alias_value":"2501.08500v2","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.08500","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"pith_short_12","alias_value":"7BC7OYOJWRQF","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"pith_short_16","alias_value":"7BC7OYOJWRQFVJY3","created_at":"2026-07-05T12:07:57Z"},{"alias_kind":"pith_short_8","alias_value":"7BC7OYOJ","created_at":"2026-07-05T12:07:57Z"}],"graph_snapshots":[{"event_id":"sha256:3211af08b9a5b7e39142114686f7e4fe48121b11df114ef0b18e8df55e667b4e","target":"graph","created_at":"2026-07-05T12:07:57Z","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/2501.08500/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing complexity and volume of network data demand effective analysis approaches, with visual exploration proving particularly beneficial. Immersive technologies, such as augmented reality, virtual reality, and large display walls, have enabled the emerging field of immersive analytics, offering new opportunities to enhance user engagement, spatial awareness, and problem-solving. A growing body of work has explored immersive environments for network visualisation, ranging from design studies to fully integrated applications across various domains. Despite these advancements, the field","authors_text":"Daniel A. Keim, Falk Schreiber, Julius Rauscher, Karsten Klein, Lucas Joos, Maximilian T. Fischer, Tim Dwyer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-01-15T00:36:53Z","title":"Visual Network Analysis in Immersive Environments: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.08500","kind":"arxiv","version":2},"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:f682e7a62582fbdee8fe4316ee316167e55156100d67370283abb839be44ef37","target":"record","created_at":"2026-07-05T12:07:57Z","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":"81081124fbb7df9adfd9d7e1e87b3d6bd82ac2657e615c052879217509e15684","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-01-15T00:36:53Z","title_canon_sha256":"a624ee49d5d9947f017d543d92cfacca5d510d527031062ab986f07231343fe6"},"schema_version":"1.0","source":{"id":"2501.08500","kind":"arxiv","version":2}},"canonical_sha256":"f845f761c9b4605aa71bf3014bd8353903f994e489bfcc5248456625d9c5c831","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f845f761c9b4605aa71bf3014bd8353903f994e489bfcc5248456625d9c5c831","first_computed_at":"2026-07-05T12:07:57.671180Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:07:57.671180Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UV4kV8CDm3oJHrlE6kR/cKwRPUHEciy+MTvjT1a6xTXLPpmSEYQ/bqL8fpDfNGfAUHufEf/s8YKF0gH9OLkyAA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:07:57.671739Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.08500","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f682e7a62582fbdee8fe4316ee316167e55156100d67370283abb839be44ef37","sha256:3211af08b9a5b7e39142114686f7e4fe48121b11df114ef0b18e8df55e667b4e"],"state_sha256":"ba8731bd48ac0ffc29398d9e012c9092ad5364720a36dde0ddb3e1b85654c241"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jkvbPh25h8Z9OorCUEpYOEorW/H9wKbfyrCRvN64XCQtqxwPa/imNFSG/K/Y8QJdrabrYL1tTBXLTTlOTbzfCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T10:33:28.149049Z","bundle_sha256":"9e469f09de086ca86df6917089182fd3faeb29e5733ffe7e4d02c3fbce91aaee"}}