{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:G62LDGPZTPSM5DAHNIEQJGFHJC","short_pith_number":"pith:G62LDGPZ","canonical_record":{"source":{"id":"2506.11095","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-06T08:11:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fcca215cdf39fc3e60d43262176b07646e980a8ef736b01a03cecf4a167bbbf6","abstract_canon_sha256":"c2042d83ef8c0919b41e2dc1b338e4c45a4c5bf5d5dd148d5ca59e475022010e"},"schema_version":"1.0"},"canonical_sha256":"37b4b199f99be4ce8c076a090498a7489c299fab96c2cbf9df262d5bba25c617","source":{"kind":"arxiv","id":"2506.11095","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11095","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11095v2","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11095","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"pith_short_12","alias_value":"G62LDGPZTPSM","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"pith_short_16","alias_value":"G62LDGPZTPSM5DAH","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"pith_short_8","alias_value":"G62LDGPZ","created_at":"2026-07-05T12:09:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:G62LDGPZTPSM5DAHNIEQJGFHJC","target":"record","payload":{"canonical_record":{"source":{"id":"2506.11095","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-06T08:11:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fcca215cdf39fc3e60d43262176b07646e980a8ef736b01a03cecf4a167bbbf6","abstract_canon_sha256":"c2042d83ef8c0919b41e2dc1b338e4c45a4c5bf5d5dd148d5ca59e475022010e"},"schema_version":"1.0"},"canonical_sha256":"37b4b199f99be4ce8c076a090498a7489c299fab96c2cbf9df262d5bba25c617","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:09:20.630258Z","signature_b64":"uIe8SmmsiQaqsETgh+Yhwe9SDBoEgTMHFu1pn4M4lKGlHH4Dqp/jj8/oHtwKRoEEuIwk1OnDOsnTj6WJp7KHDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37b4b199f99be4ce8c076a090498a7489c299fab96c2cbf9df262d5bba25c617","last_reissued_at":"2026-07-05T12:09:20.629717Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:09:20.629717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.11095","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":"2026-07-05T12:09:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LHMYhWLxQNGIjwCTgjqnu3Rt/SbDEO6Oien8YrycC9gSPeQW6OuEmlg/fj1m2hEYHsfiHkYdkofQ+k7tIRgbAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:05:18.883784Z"},"content_sha256":"4610fcc9150f7a4a1a475245fbb4d1f17dc066779c929212049b356088f74348","schema_version":"1.0","event_id":"sha256:4610fcc9150f7a4a1a475245fbb4d1f17dc066779c929212049b356088f74348"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:G62LDGPZTPSM5DAHNIEQJGFHJC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Persistent Homology of Topic Networks for the Prediction of Reader Curiosity","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Arthur Amalvy (LIA), Hannah Stone, Hayley Jach, Kou Murayama, Manuel D. S. Hopp, Richard Dufour (LS2N - \\'equipe TALN), Vincent Labatut (LIA)","submitted_at":"2025-06-06T08:11:10Z","abstract_excerpt":"Reader curiosity, the drive to seek information, is crucial for textual engagement, yet remains relatively underexplored in NLP. Building on Loewenstein's Information Gap Theory, we introduce a framework that models reader curiosity by quantifying semantic information gaps within a text's semantic structure. Our approach leverages BERTopic-inspired topic modeling and persistent homology to analyze the evolving topology (connected components, cycles, voids) of a dynamic semantic network derived from text segments, treating these features as proxies for information gaps. To empirically evaluate "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11095","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/2506.11095/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":"2026-07-05T12:09:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oYk1JmIUbAkBmOYlZ9X+ZTtzE2xljqRx1iiIhnbChF5abF1Df++q5cv5jG+B7Qj3Z7XsbrxJYwagx3pxGp/IDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:05:18.884801Z"},"content_sha256":"4e01e2c5cd5d14d1e1b2c125cf78a84cda114400c3b39f2e5ae1325357be636c","schema_version":"1.0","event_id":"sha256:4e01e2c5cd5d14d1e1b2c125cf78a84cda114400c3b39f2e5ae1325357be636c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G62LDGPZTPSM5DAHNIEQJGFHJC/bundle.json","state_url":"https://pith.science/pith/G62LDGPZTPSM5DAHNIEQJGFHJC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G62LDGPZTPSM5DAHNIEQJGFHJC/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":"2026-08-08T04:05:18Z","links":{"resolver":"https://pith.science/pith/G62LDGPZTPSM5DAHNIEQJGFHJC","bundle":"https://pith.science/pith/G62LDGPZTPSM5DAHNIEQJGFHJC/bundle.json","state":"https://pith.science/pith/G62LDGPZTPSM5DAHNIEQJGFHJC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G62LDGPZTPSM5DAHNIEQJGFHJC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G62LDGPZTPSM5DAHNIEQJGFHJC","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":"c2042d83ef8c0919b41e2dc1b338e4c45a4c5bf5d5dd148d5ca59e475022010e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-06T08:11:10Z","title_canon_sha256":"fcca215cdf39fc3e60d43262176b07646e980a8ef736b01a03cecf4a167bbbf6"},"schema_version":"1.0","source":{"id":"2506.11095","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11095","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11095v2","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11095","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"pith_short_12","alias_value":"G62LDGPZTPSM","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"pith_short_16","alias_value":"G62LDGPZTPSM5DAH","created_at":"2026-07-05T12:09:20Z"},{"alias_kind":"pith_short_8","alias_value":"G62LDGPZ","created_at":"2026-07-05T12:09:20Z"}],"graph_snapshots":[{"event_id":"sha256:4e01e2c5cd5d14d1e1b2c125cf78a84cda114400c3b39f2e5ae1325357be636c","target":"graph","created_at":"2026-07-05T12:09:20Z","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/2506.11095/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reader curiosity, the drive to seek information, is crucial for textual engagement, yet remains relatively underexplored in NLP. Building on Loewenstein's Information Gap Theory, we introduce a framework that models reader curiosity by quantifying semantic information gaps within a text's semantic structure. Our approach leverages BERTopic-inspired topic modeling and persistent homology to analyze the evolving topology (connected components, cycles, voids) of a dynamic semantic network derived from text segments, treating these features as proxies for information gaps. To empirically evaluate ","authors_text":"Arthur Amalvy (LIA), Hannah Stone, Hayley Jach, Kou Murayama, Manuel D. S. Hopp, Richard Dufour (LS2N - \\'equipe TALN), Vincent Labatut (LIA)","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-06T08:11:10Z","title":"Persistent Homology of Topic Networks for the Prediction of Reader Curiosity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11095","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":"sha256:4610fcc9150f7a4a1a475245fbb4d1f17dc066779c929212049b356088f74348","target":"record","created_at":"2026-07-05T12:09:20Z","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":"c2042d83ef8c0919b41e2dc1b338e4c45a4c5bf5d5dd148d5ca59e475022010e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-06T08:11:10Z","title_canon_sha256":"fcca215cdf39fc3e60d43262176b07646e980a8ef736b01a03cecf4a167bbbf6"},"schema_version":"1.0","source":{"id":"2506.11095","kind":"arxiv","version":2}},"canonical_sha256":"37b4b199f99be4ce8c076a090498a7489c299fab96c2cbf9df262d5bba25c617","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37b4b199f99be4ce8c076a090498a7489c299fab96c2cbf9df262d5bba25c617","first_computed_at":"2026-07-05T12:09:20.629717Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:09:20.629717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uIe8SmmsiQaqsETgh+Yhwe9SDBoEgTMHFu1pn4M4lKGlHH4Dqp/jj8/oHtwKRoEEuIwk1OnDOsnTj6WJp7KHDw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:09:20.630258Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.11095","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4610fcc9150f7a4a1a475245fbb4d1f17dc066779c929212049b356088f74348","sha256:4e01e2c5cd5d14d1e1b2c125cf78a84cda114400c3b39f2e5ae1325357be636c"],"state_sha256":"9f31b7a03637a520510df35ac7368585d72f3213d343404c915012d377ea8493"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ffg/zZtaN9sH+XcKmNLg8oYETKzBL2zvcumW9rcO2qY422gBGhXFC+mRP/ThshVJ8KIc4DmSCa03VGL5pnr9Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T04:05:18.891735Z","bundle_sha256":"e65cd8d5a365374de187f7c6d58d518f8928aebc746936b6bc2dbfa36c648379"}}