{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MVET753BK2UVXQYO4LHUNKTUY5","short_pith_number":"pith:MVET753B","canonical_record":{"source":{"id":"2506.23144","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-06-29T08:49:56Z","cross_cats_sorted":[],"title_canon_sha256":"00a234c84a0712650852871ca5b3ac8cd14049c274912c1fb0b79160094abedf","abstract_canon_sha256":"edd1a46f4da8f14d2039f0491115d8a09b34da7ccbd3b81e4501aea85301286d"},"schema_version":"1.0"},"canonical_sha256":"65493ff76156a95bc30ee2cf46aa74c76be14768f5eca442d2d2fe8f641a95ba","source":{"kind":"arxiv","id":"2506.23144","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23144","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23144v1","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23144","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"pith_short_12","alias_value":"MVET753BK2UV","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"pith_short_16","alias_value":"MVET753BK2UVXQYO","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"pith_short_8","alias_value":"MVET753B","created_at":"2026-07-05T11:29:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MVET753BK2UVXQYO4LHUNKTUY5","target":"record","payload":{"canonical_record":{"source":{"id":"2506.23144","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-06-29T08:49:56Z","cross_cats_sorted":[],"title_canon_sha256":"00a234c84a0712650852871ca5b3ac8cd14049c274912c1fb0b79160094abedf","abstract_canon_sha256":"edd1a46f4da8f14d2039f0491115d8a09b34da7ccbd3b81e4501aea85301286d"},"schema_version":"1.0"},"canonical_sha256":"65493ff76156a95bc30ee2cf46aa74c76be14768f5eca442d2d2fe8f641a95ba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:16.505752Z","signature_b64":"nI2/hAgsoK2JYyZPthTogx4DVTC9HjMdD7e5sAsXrfdLW7uK7IR9vLDy6ZAOFY3Fm0bEAjObl+UEILkqwV5EDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"65493ff76156a95bc30ee2cf46aa74c76be14768f5eca442d2d2fe8f641a95ba","last_reissued_at":"2026-07-05T11:29:16.505219Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:16.505219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.23144","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":"2026-07-05T11:29:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TwZ4ve2FrFUoNUirHn7p+MTS3Bfm0kNq6fFbJLu1o9e1UtXifpxJ9nmWW3e+qopjChOL1SzZxoB5eZyFYX76Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T08:55:15.729604Z"},"content_sha256":"65ca137ba0db6f35647e052fdc7ce7146afcc9ec78cb04f8b6049d7ceffcefd6","schema_version":"1.0","event_id":"sha256:65ca137ba0db6f35647e052fdc7ce7146afcc9ec78cb04f8b6049d7ceffcefd6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MVET753BK2UVXQYO4LHUNKTUY5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Feature Prediction in Quantum Graph Recurrent Neural Networks with Applications in Information Hiding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Jawaher Kaldari, Saif Al-Kuwari","submitted_at":"2025-06-29T08:49:56Z","abstract_excerpt":"Graphs are a fundamental representation of complex, nonlinear structured data across various domains, including social networks and quantum systems. Quantum Graph Recurrent Neural Networks (QGRNNs) have been proposed to model quantum dynamics in graph-based quantum systems, but their applicability to classical data remains an open problem. In this paper, we leverage QGRNNs to process classical graph-structured data. In particular, we demonstrate how QGRNN can reconstruct node features in classical datasets. Our results show that QGRNN achieves high feature reconstruction accuracy, leading to n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23144","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/2506.23144/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":"2026-07-05T11:29:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o2xrKnxX0f/iSkhYtm3mYwdv81MC0RcmrOkjdE6U34ItR/YRPziteKX49NH6siMnhTdxg3RWo4uSP1ox6vgvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T08:55:15.730626Z"},"content_sha256":"a1292e557fec2cdb3c0620685f806680a7aa1c281e9ec2478bd64cb18b9d5727","schema_version":"1.0","event_id":"sha256:a1292e557fec2cdb3c0620685f806680a7aa1c281e9ec2478bd64cb18b9d5727"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MVET753BK2UVXQYO4LHUNKTUY5/bundle.json","state_url":"https://pith.science/pith/MVET753BK2UVXQYO4LHUNKTUY5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MVET753BK2UVXQYO4LHUNKTUY5/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":"2026-08-17T08:55:15Z","links":{"resolver":"https://pith.science/pith/MVET753BK2UVXQYO4LHUNKTUY5","bundle":"https://pith.science/pith/MVET753BK2UVXQYO4LHUNKTUY5/bundle.json","state":"https://pith.science/pith/MVET753BK2UVXQYO4LHUNKTUY5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MVET753BK2UVXQYO4LHUNKTUY5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MVET753BK2UVXQYO4LHUNKTUY5","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":"edd1a46f4da8f14d2039f0491115d8a09b34da7ccbd3b81e4501aea85301286d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-06-29T08:49:56Z","title_canon_sha256":"00a234c84a0712650852871ca5b3ac8cd14049c274912c1fb0b79160094abedf"},"schema_version":"1.0","source":{"id":"2506.23144","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.23144","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"arxiv_version","alias_value":"2506.23144v1","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.23144","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"pith_short_12","alias_value":"MVET753BK2UV","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"pith_short_16","alias_value":"MVET753BK2UVXQYO","created_at":"2026-07-05T11:29:16Z"},{"alias_kind":"pith_short_8","alias_value":"MVET753B","created_at":"2026-07-05T11:29:16Z"}],"graph_snapshots":[{"event_id":"sha256:a1292e557fec2cdb3c0620685f806680a7aa1c281e9ec2478bd64cb18b9d5727","target":"graph","created_at":"2026-07-05T11:29:16Z","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/2506.23144/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graphs are a fundamental representation of complex, nonlinear structured data across various domains, including social networks and quantum systems. Quantum Graph Recurrent Neural Networks (QGRNNs) have been proposed to model quantum dynamics in graph-based quantum systems, but their applicability to classical data remains an open problem. In this paper, we leverage QGRNNs to process classical graph-structured data. In particular, we demonstrate how QGRNN can reconstruct node features in classical datasets. Our results show that QGRNN achieves high feature reconstruction accuracy, leading to n","authors_text":"Jawaher Kaldari, Saif Al-Kuwari","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-06-29T08:49:56Z","title":"Feature Prediction in Quantum Graph Recurrent Neural Networks with Applications in Information Hiding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.23144","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":"sha256:65ca137ba0db6f35647e052fdc7ce7146afcc9ec78cb04f8b6049d7ceffcefd6","target":"record","created_at":"2026-07-05T11:29:16Z","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":"edd1a46f4da8f14d2039f0491115d8a09b34da7ccbd3b81e4501aea85301286d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-06-29T08:49:56Z","title_canon_sha256":"00a234c84a0712650852871ca5b3ac8cd14049c274912c1fb0b79160094abedf"},"schema_version":"1.0","source":{"id":"2506.23144","kind":"arxiv","version":1}},"canonical_sha256":"65493ff76156a95bc30ee2cf46aa74c76be14768f5eca442d2d2fe8f641a95ba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"65493ff76156a95bc30ee2cf46aa74c76be14768f5eca442d2d2fe8f641a95ba","first_computed_at":"2026-07-05T11:29:16.505219Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:16.505219Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nI2/hAgsoK2JYyZPthTogx4DVTC9HjMdD7e5sAsXrfdLW7uK7IR9vLDy6ZAOFY3Fm0bEAjObl+UEILkqwV5EDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:16.505752Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.23144","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:65ca137ba0db6f35647e052fdc7ce7146afcc9ec78cb04f8b6049d7ceffcefd6","sha256:a1292e557fec2cdb3c0620685f806680a7aa1c281e9ec2478bd64cb18b9d5727"],"state_sha256":"87f90e9a64a0f3e154b51fc73e0cfd0b661b2493bcad0878001f189a2f8ff496"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9Pr2F0aJcq6v2OSYXggqnh0ipQH1sfu90++z7M5debN40/ycCIEOyDSIYW9gACD/cb/s463KeveF03T5mRmXCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T08:55:15.796806Z","bundle_sha256":"c803c41676032a0990fefda1e59d7851e5cd95d04aedfd5b5fc3f76ea9c6627e"}}