{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LZLUCBYYAVISZ4AHD36JVMSD5Y","short_pith_number":"pith:LZLUCBYY","canonical_record":{"source":{"id":"2508.11556","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-08-15T16:02:21Z","cross_cats_sorted":[],"title_canon_sha256":"e35bd5f4cb390b92025d4872883bd2b60d95c3b78d9a555b7b98d0bef8025307","abstract_canon_sha256":"91068a5ffbb6b570ca92916a324b1c57deaecf6baf4c064e44ac9ac0c31f9c95"},"schema_version":"1.0"},"canonical_sha256":"5e5741071805512cf0071efc9ab243ee0a708b976c78a297e4954020bb4afe3a","source":{"kind":"arxiv","id":"2508.11556","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11556","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11556v1","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11556","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"pith_short_12","alias_value":"LZLUCBYYAVIS","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"pith_short_16","alias_value":"LZLUCBYYAVISZ4AH","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"pith_short_8","alias_value":"LZLUCBYY","created_at":"2026-07-05T11:54:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LZLUCBYYAVISZ4AHD36JVMSD5Y","target":"record","payload":{"canonical_record":{"source":{"id":"2508.11556","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-08-15T16:02:21Z","cross_cats_sorted":[],"title_canon_sha256":"e35bd5f4cb390b92025d4872883bd2b60d95c3b78d9a555b7b98d0bef8025307","abstract_canon_sha256":"91068a5ffbb6b570ca92916a324b1c57deaecf6baf4c064e44ac9ac0c31f9c95"},"schema_version":"1.0"},"canonical_sha256":"5e5741071805512cf0071efc9ab243ee0a708b976c78a297e4954020bb4afe3a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:54:35.309328Z","signature_b64":"ma8/wvRBz6L9rPXwSGPnvuX+anMDk6CWud0s0DWL+lfIcAKDuwqqgVmqutCTcknMRTzSQiVLzAarmEFfGFwaBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5e5741071805512cf0071efc9ab243ee0a708b976c78a297e4954020bb4afe3a","last_reissued_at":"2026-07-05T11:54:35.308842Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:54:35.308842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.11556","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":"2026-07-05T11:54:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5IXpLgNl8olqV0uVDUKtDZAzPkt/3OWbmnrbObsmxHG9AI1vQhgZK0YnKZv+7BhNnHXtsyqXwTCq2HzKuOfBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:58:10.025432Z"},"content_sha256":"9c4ee1c9105845523c9442ddc3d0fb963698e3e7a62e0070a6d278b9b1491109","schema_version":"1.0","event_id":"sha256:9c4ee1c9105845523c9442ddc3d0fb963698e3e7a62e0070a6d278b9b1491109"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LZLUCBYYAVISZ4AHD36JVMSD5Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Binary choice logit models with general fixed effects for panel and network data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"econ.EM","authors_text":"Bo E. Honor\\'e, Kevin Dano, Martin Weidner","submitted_at":"2025-08-15T16:02:21Z","abstract_excerpt":"This paper systematically analyzes and reviews identification strategies for binary choice logit models with fixed effects in panel and network data settings. We examine both static and dynamic models with general fixed-effect structures, including individual effects, time trends, and two-way or dyadic effects. A key challenge is the incidental parameter problem, which arises from the increasing number of fixed effects as the sample size grows. We explore two main strategies for eliminating nuisance parameters: conditional likelihood methods, which remove fixed effects by conditioning on suffi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11556","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/2508.11556/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":"2026-07-05T11:54:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UHs/mTE3CyO1cR+xBNP6G4gD0kuM2+y5rJPUTxuIueMW3qsPJnzsV7H8yWxl5uqkXssYgir+mhfJtznkWnxmCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:58:10.025911Z"},"content_sha256":"9957d9a0bfb7fd9255226b5f40f71824e689e89a362654491ba070756e45e26a","schema_version":"1.0","event_id":"sha256:9957d9a0bfb7fd9255226b5f40f71824e689e89a362654491ba070756e45e26a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LZLUCBYYAVISZ4AHD36JVMSD5Y/bundle.json","state_url":"https://pith.science/pith/LZLUCBYYAVISZ4AHD36JVMSD5Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LZLUCBYYAVISZ4AHD36JVMSD5Y/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":"2026-08-09T16:58:10Z","links":{"resolver":"https://pith.science/pith/LZLUCBYYAVISZ4AHD36JVMSD5Y","bundle":"https://pith.science/pith/LZLUCBYYAVISZ4AHD36JVMSD5Y/bundle.json","state":"https://pith.science/pith/LZLUCBYYAVISZ4AHD36JVMSD5Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LZLUCBYYAVISZ4AHD36JVMSD5Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LZLUCBYYAVISZ4AHD36JVMSD5Y","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":"91068a5ffbb6b570ca92916a324b1c57deaecf6baf4c064e44ac9ac0c31f9c95","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-08-15T16:02:21Z","title_canon_sha256":"e35bd5f4cb390b92025d4872883bd2b60d95c3b78d9a555b7b98d0bef8025307"},"schema_version":"1.0","source":{"id":"2508.11556","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11556","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11556v1","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11556","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"pith_short_12","alias_value":"LZLUCBYYAVIS","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"pith_short_16","alias_value":"LZLUCBYYAVISZ4AH","created_at":"2026-07-05T11:54:35Z"},{"alias_kind":"pith_short_8","alias_value":"LZLUCBYY","created_at":"2026-07-05T11:54:35Z"}],"graph_snapshots":[{"event_id":"sha256:9957d9a0bfb7fd9255226b5f40f71824e689e89a362654491ba070756e45e26a","target":"graph","created_at":"2026-07-05T11:54:35Z","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/2508.11556/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper systematically analyzes and reviews identification strategies for binary choice logit models with fixed effects in panel and network data settings. We examine both static and dynamic models with general fixed-effect structures, including individual effects, time trends, and two-way or dyadic effects. A key challenge is the incidental parameter problem, which arises from the increasing number of fixed effects as the sample size grows. We explore two main strategies for eliminating nuisance parameters: conditional likelihood methods, which remove fixed effects by conditioning on suffi","authors_text":"Bo E. Honor\\'e, Kevin Dano, Martin Weidner","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-08-15T16:02:21Z","title":"Binary choice logit models with general fixed effects for panel and network data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11556","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":"sha256:9c4ee1c9105845523c9442ddc3d0fb963698e3e7a62e0070a6d278b9b1491109","target":"record","created_at":"2026-07-05T11:54:35Z","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":"91068a5ffbb6b570ca92916a324b1c57deaecf6baf4c064e44ac9ac0c31f9c95","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-08-15T16:02:21Z","title_canon_sha256":"e35bd5f4cb390b92025d4872883bd2b60d95c3b78d9a555b7b98d0bef8025307"},"schema_version":"1.0","source":{"id":"2508.11556","kind":"arxiv","version":1}},"canonical_sha256":"5e5741071805512cf0071efc9ab243ee0a708b976c78a297e4954020bb4afe3a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5e5741071805512cf0071efc9ab243ee0a708b976c78a297e4954020bb4afe3a","first_computed_at":"2026-07-05T11:54:35.308842Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:35.308842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ma8/wvRBz6L9rPXwSGPnvuX+anMDk6CWud0s0DWL+lfIcAKDuwqqgVmqutCTcknMRTzSQiVLzAarmEFfGFwaBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:35.309328Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.11556","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c4ee1c9105845523c9442ddc3d0fb963698e3e7a62e0070a6d278b9b1491109","sha256:9957d9a0bfb7fd9255226b5f40f71824e689e89a362654491ba070756e45e26a"],"state_sha256":"e2c6f8b23e76641bcd58ab4bcd7ca6a0a3654cd7ede7fdb43814fd59c7a7cdc6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ahooFeAqXfVeq8xLFDcg4O+ra4HoqtFa2lKYsfWy/fBmVnT/GZ31nDlcaijEW5SbiPq3jCLZXgacvnz5zvkgDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T16:58:10.029075Z","bundle_sha256":"a0cae911b3c243beb6e83c3aba78d15f62bf34c2dcd4fdd7d59fa98340122639"}}