{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:FZ3B6NGS2TU6B7UDARR3QJLKI3","short_pith_number":"pith:FZ3B6NGS","canonical_record":{"source":{"id":"2502.03421","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-02-05T18:09:34Z","cross_cats_sorted":[],"title_canon_sha256":"99d7e7cd993717c6f333cbe1c2ef71141431a1659e400ef666e76a1fcec05854","abstract_canon_sha256":"41b5bf9bbe13cb37421c0919ae96956657dea14c7c8c8e87b0fae191f4042881"},"schema_version":"1.0"},"canonical_sha256":"2e761f34d2d4e9e0fe830463b8256a46e9841622483793dfed7443b6d4d5d2dd","source":{"kind":"arxiv","id":"2502.03421","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.03421","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"2502.03421v1","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.03421","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"FZ3B6NGS2TU6","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"FZ3B6NGS2TU6B7UD","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"FZ3B6NGS","created_at":"2026-07-05T10:10:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:FZ3B6NGS2TU6B7UDARR3QJLKI3","target":"record","payload":{"canonical_record":{"source":{"id":"2502.03421","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-02-05T18:09:34Z","cross_cats_sorted":[],"title_canon_sha256":"99d7e7cd993717c6f333cbe1c2ef71141431a1659e400ef666e76a1fcec05854","abstract_canon_sha256":"41b5bf9bbe13cb37421c0919ae96956657dea14c7c8c8e87b0fae191f4042881"},"schema_version":"1.0"},"canonical_sha256":"2e761f34d2d4e9e0fe830463b8256a46e9841622483793dfed7443b6d4d5d2dd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:10:04.665865Z","signature_b64":"mbPAHD18KNUIJKqVD7U6OWj+F7m+ryru1LinpMwpba9xCQPtavPJt8Hf+sYMPhifkMYCOuQ5AJVeX59lJfcKDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e761f34d2d4e9e0fe830463b8256a46e9841622483793dfed7443b6d4d5d2dd","last_reissued_at":"2026-07-05T10:10:04.665414Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:10:04.665414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.03421","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":"2026-07-05T10:10:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LrqFAICYPWZRzOMBYSoD4UmUYB6S+5gTqvTz67MTERuP0+n/veE04gp7lNhEpaGC0RG+qv2j2HaISDOj7CGMDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:45:16.114135Z"},"content_sha256":"17e2b981e49f57837683e55a590bb65ce9ab1547c18324275fb231abfdfd8df9","schema_version":"1.0","event_id":"sha256:17e2b981e49f57837683e55a590bb65ce9ab1547c18324275fb231abfdfd8df9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:FZ3B6NGS2TU6B7UDARR3QJLKI3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Investigating Corporate Social Responsibility Initiatives: Examining the case of corporate Covid-19 response","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Aniruddha Dutta, Meheli Basu, Purvi Shah","submitted_at":"2025-02-05T18:09:34Z","abstract_excerpt":"In todays age of freely available information, policy makers have to take into account a huge amount of information while making decisions affecting relevant stakeholders. While increase in the amount of information sources and documents increases credibility of decisions based on the corpus of available text, it is challenging for policymakers to make sense of this information. This paper demonstrates how policy makers can implement some of the most popular topic recognition methods, Latent Dirichlet Allocation, Deep Distributed Representation method, text summarization approaches, Word Based"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.03421","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/2502.03421/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":"2026-07-05T10:10:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RmhIoZKG+27I5QZQC0KPgaf0ZA3eGHcDELRJicCnYhJCCh1tnWIEXnASOj2fXXCCISRFmQiB0JZPxfppsbCsCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:45:16.114712Z"},"content_sha256":"e8376c720d231cb6d368241deec1c34d6d5558018bfed06b6355cbbfcd3a626c","schema_version":"1.0","event_id":"sha256:e8376c720d231cb6d368241deec1c34d6d5558018bfed06b6355cbbfcd3a626c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FZ3B6NGS2TU6B7UDARR3QJLKI3/bundle.json","state_url":"https://pith.science/pith/FZ3B6NGS2TU6B7UDARR3QJLKI3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FZ3B6NGS2TU6B7UDARR3QJLKI3/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":"2026-08-12T12:45:16Z","links":{"resolver":"https://pith.science/pith/FZ3B6NGS2TU6B7UDARR3QJLKI3","bundle":"https://pith.science/pith/FZ3B6NGS2TU6B7UDARR3QJLKI3/bundle.json","state":"https://pith.science/pith/FZ3B6NGS2TU6B7UDARR3QJLKI3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FZ3B6NGS2TU6B7UDARR3QJLKI3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FZ3B6NGS2TU6B7UDARR3QJLKI3","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":"41b5bf9bbe13cb37421c0919ae96956657dea14c7c8c8e87b0fae191f4042881","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-02-05T18:09:34Z","title_canon_sha256":"99d7e7cd993717c6f333cbe1c2ef71141431a1659e400ef666e76a1fcec05854"},"schema_version":"1.0","source":{"id":"2502.03421","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.03421","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"2502.03421v1","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.03421","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"FZ3B6NGS2TU6","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"FZ3B6NGS2TU6B7UD","created_at":"2026-07-05T10:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"FZ3B6NGS","created_at":"2026-07-05T10:10:04Z"}],"graph_snapshots":[{"event_id":"sha256:e8376c720d231cb6d368241deec1c34d6d5558018bfed06b6355cbbfcd3a626c","target":"graph","created_at":"2026-07-05T10:10:04Z","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/2502.03421/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In todays age of freely available information, policy makers have to take into account a huge amount of information while making decisions affecting relevant stakeholders. While increase in the amount of information sources and documents increases credibility of decisions based on the corpus of available text, it is challenging for policymakers to make sense of this information. This paper demonstrates how policy makers can implement some of the most popular topic recognition methods, Latent Dirichlet Allocation, Deep Distributed Representation method, text summarization approaches, Word Based","authors_text":"Aniruddha Dutta, Meheli Basu, Purvi Shah","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-02-05T18:09:34Z","title":"Investigating Corporate Social Responsibility Initiatives: Examining the case of corporate Covid-19 response"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.03421","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":"sha256:17e2b981e49f57837683e55a590bb65ce9ab1547c18324275fb231abfdfd8df9","target":"record","created_at":"2026-07-05T10:10:04Z","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":"41b5bf9bbe13cb37421c0919ae96956657dea14c7c8c8e87b0fae191f4042881","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-02-05T18:09:34Z","title_canon_sha256":"99d7e7cd993717c6f333cbe1c2ef71141431a1659e400ef666e76a1fcec05854"},"schema_version":"1.0","source":{"id":"2502.03421","kind":"arxiv","version":1}},"canonical_sha256":"2e761f34d2d4e9e0fe830463b8256a46e9841622483793dfed7443b6d4d5d2dd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e761f34d2d4e9e0fe830463b8256a46e9841622483793dfed7443b6d4d5d2dd","first_computed_at":"2026-07-05T10:10:04.665414Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:10:04.665414Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mbPAHD18KNUIJKqVD7U6OWj+F7m+ryru1LinpMwpba9xCQPtavPJt8Hf+sYMPhifkMYCOuQ5AJVeX59lJfcKDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:10:04.665865Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.03421","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:17e2b981e49f57837683e55a590bb65ce9ab1547c18324275fb231abfdfd8df9","sha256:e8376c720d231cb6d368241deec1c34d6d5558018bfed06b6355cbbfcd3a626c"],"state_sha256":"c23b3552c32d123f9433d37e3dd7884e15c9849017ca84d068414ea863bee070"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YSv8wRuiPSK/nhsRmhCKMhabuwa/vJjuDuXDt/7M09AYXDKNMT/e8zswFZjVc85BC19r2dApDFbEZb17gdOEBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T12:45:16.120699Z","bundle_sha256":"2b2c730469e552f7f26ee371856c2472c3f0eda999865d538eed29ebb8785b41"}}