{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:2LOKHKU2CIFJACYMSCDQ7R4TVC","short_pith_number":"pith:2LOKHKU2","canonical_record":{"source":{"id":"2304.07366","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-14T19:55:19Z","cross_cats_sorted":[],"title_canon_sha256":"5336079929468d5631df9d25bc88d0ef93359c75d3b7f10ac86e39458710e8fd","abstract_canon_sha256":"f8fced3e359db380d91e3483eefa866d85ac972031cd7deb1f5a2dfed63bb3e9"},"schema_version":"1.0"},"canonical_sha256":"d2dca3aa9a120a900b0c90870fc793a891c32e92dcc3ba1c1d7cfa17765133a5","source":{"kind":"arxiv","id":"2304.07366","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.07366","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2304.07366v4","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.07366","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"2LOKHKU2CIFJ","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"2LOKHKU2CIFJACYM","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"2LOKHKU2","created_at":"2026-07-05T07:36:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:2LOKHKU2CIFJACYMSCDQ7R4TVC","target":"record","payload":{"canonical_record":{"source":{"id":"2304.07366","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-14T19:55:19Z","cross_cats_sorted":[],"title_canon_sha256":"5336079929468d5631df9d25bc88d0ef93359c75d3b7f10ac86e39458710e8fd","abstract_canon_sha256":"f8fced3e359db380d91e3483eefa866d85ac972031cd7deb1f5a2dfed63bb3e9"},"schema_version":"1.0"},"canonical_sha256":"d2dca3aa9a120a900b0c90870fc793a891c32e92dcc3ba1c1d7cfa17765133a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:36:00.039897Z","signature_b64":"aUU2ZDzjx05m33usOzXIIsRSn9iFxwvxFJvV7Ircv9nQSn0ctEFC/7zH48/VjycDmJxU1OxDxlvfvFKDvPb4BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2dca3aa9a120a900b0c90870fc793a891c32e92dcc3ba1c1d7cfa17765133a5","last_reissued_at":"2026-07-05T07:36:00.039429Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:36:00.039429Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.07366","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XU6H8JuYBLEvjBTPghawy6TUpI85Ho1ZP9CTGqjztTlmo958CrTaorIzWkwrNqo1UG4bcEgmn3jLG4TM8J9/Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T13:03:16.931179Z"},"content_sha256":"ab8196bebb70c44991b3bd66ec78596ac9b0d193f8bcd246131efd87fb51774e","schema_version":"1.0","event_id":"sha256:ab8196bebb70c44991b3bd66ec78596ac9b0d193f8bcd246131efd87fb51774e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:2LOKHKU2CIFJACYMSCDQ7R4TVC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Gionnieve Lim, Jie Gao, Simon Tangi Perrault, Tianqin Zhang, Toby Jia-Jun Li, Yuchen Guo, Zheng Zhang","submitted_at":"2023-04-14T19:55:19Z","abstract_excerpt":"Collaborative Qualitative Analysis (CQA) can enhance qualitative analysis rigor and depth by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself can be both demanding and costly. To lower this bar, we take a theoretical perspective to design the CollabCoder workflow, that integrates Large Language Models (LLMs) into key inductive CQA stages: independent open coding, iterative discussions, and final codebook creation. In the open coding phase, CollabCoder offers AI-generated code suggestions and records decision-making data. During discussions, it promotes mu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.07366","kind":"arxiv","version":4},"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/2304.07366/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":"2026-07-05T07:36:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3d2Lt00lo2sVivwTRgHZ91QSx1Vnj20daxJJ1e9fMtVxzTKK3xx2nqdf6+VxXwRfWobY56dQnrwwSOZ3svAEAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T13:03:16.931865Z"},"content_sha256":"fcabf3224ac1da8da921755ab87530ac0688dece8b5866197724ef1c8318a172","schema_version":"1.0","event_id":"sha256:fcabf3224ac1da8da921755ab87530ac0688dece8b5866197724ef1c8318a172"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2LOKHKU2CIFJACYMSCDQ7R4TVC/bundle.json","state_url":"https://pith.science/pith/2LOKHKU2CIFJACYMSCDQ7R4TVC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2LOKHKU2CIFJACYMSCDQ7R4TVC/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":"2026-08-15T13:03:16Z","links":{"resolver":"https://pith.science/pith/2LOKHKU2CIFJACYMSCDQ7R4TVC","bundle":"https://pith.science/pith/2LOKHKU2CIFJACYMSCDQ7R4TVC/bundle.json","state":"https://pith.science/pith/2LOKHKU2CIFJACYMSCDQ7R4TVC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2LOKHKU2CIFJACYMSCDQ7R4TVC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:2LOKHKU2CIFJACYMSCDQ7R4TVC","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":"f8fced3e359db380d91e3483eefa866d85ac972031cd7deb1f5a2dfed63bb3e9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-14T19:55:19Z","title_canon_sha256":"5336079929468d5631df9d25bc88d0ef93359c75d3b7f10ac86e39458710e8fd"},"schema_version":"1.0","source":{"id":"2304.07366","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.07366","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"arxiv_version","alias_value":"2304.07366v4","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.07366","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"pith_short_12","alias_value":"2LOKHKU2CIFJ","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"pith_short_16","alias_value":"2LOKHKU2CIFJACYM","created_at":"2026-07-05T07:36:00Z"},{"alias_kind":"pith_short_8","alias_value":"2LOKHKU2","created_at":"2026-07-05T07:36:00Z"}],"graph_snapshots":[{"event_id":"sha256:fcabf3224ac1da8da921755ab87530ac0688dece8b5866197724ef1c8318a172","target":"graph","created_at":"2026-07-05T07:36:00Z","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/2304.07366/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Collaborative Qualitative Analysis (CQA) can enhance qualitative analysis rigor and depth by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself can be both demanding and costly. To lower this bar, we take a theoretical perspective to design the CollabCoder workflow, that integrates Large Language Models (LLMs) into key inductive CQA stages: independent open coding, iterative discussions, and final codebook creation. In the open coding phase, CollabCoder offers AI-generated code suggestions and records decision-making data. During discussions, it promotes mu","authors_text":"Gionnieve Lim, Jie Gao, Simon Tangi Perrault, Tianqin Zhang, Toby Jia-Jun Li, Yuchen Guo, Zheng Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-14T19:55:19Z","title":"CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.07366","kind":"arxiv","version":4},"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:ab8196bebb70c44991b3bd66ec78596ac9b0d193f8bcd246131efd87fb51774e","target":"record","created_at":"2026-07-05T07:36:00Z","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":"f8fced3e359db380d91e3483eefa866d85ac972031cd7deb1f5a2dfed63bb3e9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.HC","submitted_at":"2023-04-14T19:55:19Z","title_canon_sha256":"5336079929468d5631df9d25bc88d0ef93359c75d3b7f10ac86e39458710e8fd"},"schema_version":"1.0","source":{"id":"2304.07366","kind":"arxiv","version":4}},"canonical_sha256":"d2dca3aa9a120a900b0c90870fc793a891c32e92dcc3ba1c1d7cfa17765133a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2dca3aa9a120a900b0c90870fc793a891c32e92dcc3ba1c1d7cfa17765133a5","first_computed_at":"2026-07-05T07:36:00.039429Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:36:00.039429Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aUU2ZDzjx05m33usOzXIIsRSn9iFxwvxFJvV7Ircv9nQSn0ctEFC/7zH48/VjycDmJxU1OxDxlvfvFKDvPb4BA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:36:00.039897Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.07366","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab8196bebb70c44991b3bd66ec78596ac9b0d193f8bcd246131efd87fb51774e","sha256:fcabf3224ac1da8da921755ab87530ac0688dece8b5866197724ef1c8318a172"],"state_sha256":"831212acd7db94fdd214e32a5052d90d29517243bd45d33eef9ff1d5857582d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zTOzGke2H5ZBTpVDgWEWID6rMIIgJzj4N/TOphO5hVd1tOo9guCdGAvfPN2UXBmApoQldosbTRizkzQtaDd2AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T13:03:16.938035Z","bundle_sha256":"03825e5a00c02177713992d7d6f048bcf0387580962fe410b1f709289cc67661"}}