{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UOVQ6UJRTF5KG3CIG3IAB7EHSC","short_pith_number":"pith:UOVQ6UJR","canonical_record":{"source":{"id":"2606.29290","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PR","submitted_at":"2026-06-28T09:26:45Z","cross_cats_sorted":[],"title_canon_sha256":"3c69057503a8d6113a7cfe597c7d5a6705ea4f0ee119fadca77a6fb97c8836f6","abstract_canon_sha256":"98939c53f66a451806b7a19a27828316ece1dc75d6bb3d035b622e8ee2e9bb3f"},"schema_version":"1.0"},"canonical_sha256":"a3ab0f5131997aa36c4836d000fc8790b420685aba1dfc190d980a6ff9298599","source":{"kind":"arxiv","id":"2606.29290","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29290","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29290v1","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29290","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"UOVQ6UJRTF5K","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"UOVQ6UJRTF5KG3CI","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"UOVQ6UJR","created_at":"2026-06-30T01:18:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UOVQ6UJRTF5KG3CIG3IAB7EHSC","target":"record","payload":{"canonical_record":{"source":{"id":"2606.29290","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PR","submitted_at":"2026-06-28T09:26:45Z","cross_cats_sorted":[],"title_canon_sha256":"3c69057503a8d6113a7cfe597c7d5a6705ea4f0ee119fadca77a6fb97c8836f6","abstract_canon_sha256":"98939c53f66a451806b7a19a27828316ece1dc75d6bb3d035b622e8ee2e9bb3f"},"schema_version":"1.0"},"canonical_sha256":"a3ab0f5131997aa36c4836d000fc8790b420685aba1dfc190d980a6ff9298599","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T01:18:00.454242Z","signature_b64":"Zytqpf2o5Mkio//aDKyGCX8igtBQg3adG4F4X7ZtVYwRSS9NFH7yOh8XAhQ1ed+WskMH2MDsr5bjbtDtYBFTCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a3ab0f5131997aa36c4836d000fc8790b420685aba1dfc190d980a6ff9298599","last_reissued_at":"2026-06-30T01:18:00.453837Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T01:18:00.453837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.29290","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":"2026-06-30T01:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a/rZhHJX2Lvu+eE6g7HjeBNZkJOfoIU22hDIMn/WS9lt3OlqZM2oFVXTRboEXTs2GzkfA5AcccKBYu/JHkLXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:56:33.999951Z"},"content_sha256":"9533bb12c5375598d36985cb652b09ec0880887dbceda3bf7e82846f346e7ef9","schema_version":"1.0","event_id":"sha256:9533bb12c5375598d36985cb652b09ec0880887dbceda3bf7e82846f346e7ef9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UOVQ6UJRTF5KG3CIG3IAB7EHSC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Supply Chain Propagation of Textual Signals: LLM Embeddings and Cross-Sectional Return Predictability","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-fin.PR","authors_text":"Asef Y{\\i}lk{\\i}","submitted_at":"2026-06-28T09:26:45Z","abstract_excerpt":"This paper proposes a novel asset pricing framework that augments large language model (LLM) embeddings of annual report disclosures with supply chain knowledge graph (KG) propagation. Using FinBERT embeddings of 10-K MD&A sections for 255 S&P 500 firms over 2011-2025, two sets of return predictors are constructed: direct LLM embeddings and network-augmented embeddings, where firm-level signals propagate through inter-firm linkages. Fama-MacBeth cross-sectional regressions reveal that the network-augmented factor (net_pc_5) carries significant return predictability with a Newey-West t-statisti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29290","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/2606.29290/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":"2026-06-30T01:18:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sedxCnW909KdPumkFP54eVAodeQj/baZ4D2dqpv3OTnHmgVEJpXX/2+T6MH7EfLde+uRtB5sQTR8T8qsjMxkCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T17:56:34.000469Z"},"content_sha256":"34eef3c5fda27c38f73e9e89992ee184c1ff064763924cf57fd4048d3fe11842","schema_version":"1.0","event_id":"sha256:34eef3c5fda27c38f73e9e89992ee184c1ff064763924cf57fd4048d3fe11842"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UOVQ6UJRTF5KG3CIG3IAB7EHSC/bundle.json","state_url":"https://pith.science/pith/UOVQ6UJRTF5KG3CIG3IAB7EHSC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UOVQ6UJRTF5KG3CIG3IAB7EHSC/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":"2026-08-03T17:56:34Z","links":{"resolver":"https://pith.science/pith/UOVQ6UJRTF5KG3CIG3IAB7EHSC","bundle":"https://pith.science/pith/UOVQ6UJRTF5KG3CIG3IAB7EHSC/bundle.json","state":"https://pith.science/pith/UOVQ6UJRTF5KG3CIG3IAB7EHSC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UOVQ6UJRTF5KG3CIG3IAB7EHSC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UOVQ6UJRTF5KG3CIG3IAB7EHSC","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":"98939c53f66a451806b7a19a27828316ece1dc75d6bb3d035b622e8ee2e9bb3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PR","submitted_at":"2026-06-28T09:26:45Z","title_canon_sha256":"3c69057503a8d6113a7cfe597c7d5a6705ea4f0ee119fadca77a6fb97c8836f6"},"schema_version":"1.0","source":{"id":"2606.29290","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.29290","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"arxiv_version","alias_value":"2606.29290v1","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.29290","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_12","alias_value":"UOVQ6UJRTF5K","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_16","alias_value":"UOVQ6UJRTF5KG3CI","created_at":"2026-06-30T01:18:00Z"},{"alias_kind":"pith_short_8","alias_value":"UOVQ6UJR","created_at":"2026-06-30T01:18:00Z"}],"graph_snapshots":[{"event_id":"sha256:34eef3c5fda27c38f73e9e89992ee184c1ff064763924cf57fd4048d3fe11842","target":"graph","created_at":"2026-06-30T01:18:00Z","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/2606.29290/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes a novel asset pricing framework that augments large language model (LLM) embeddings of annual report disclosures with supply chain knowledge graph (KG) propagation. Using FinBERT embeddings of 10-K MD&A sections for 255 S&P 500 firms over 2011-2025, two sets of return predictors are constructed: direct LLM embeddings and network-augmented embeddings, where firm-level signals propagate through inter-firm linkages. Fama-MacBeth cross-sectional regressions reveal that the network-augmented factor (net_pc_5) carries significant return predictability with a Newey-West t-statisti","authors_text":"Asef Y{\\i}lk{\\i}","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PR","submitted_at":"2026-06-28T09:26:45Z","title":"Supply Chain Propagation of Textual Signals: LLM Embeddings and Cross-Sectional Return Predictability"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.29290","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":"sha256:9533bb12c5375598d36985cb652b09ec0880887dbceda3bf7e82846f346e7ef9","target":"record","created_at":"2026-06-30T01:18:00Z","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":"98939c53f66a451806b7a19a27828316ece1dc75d6bb3d035b622e8ee2e9bb3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.PR","submitted_at":"2026-06-28T09:26:45Z","title_canon_sha256":"3c69057503a8d6113a7cfe597c7d5a6705ea4f0ee119fadca77a6fb97c8836f6"},"schema_version":"1.0","source":{"id":"2606.29290","kind":"arxiv","version":1}},"canonical_sha256":"a3ab0f5131997aa36c4836d000fc8790b420685aba1dfc190d980a6ff9298599","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3ab0f5131997aa36c4836d000fc8790b420685aba1dfc190d980a6ff9298599","first_computed_at":"2026-06-30T01:18:00.453837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:18:00.453837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zytqpf2o5Mkio//aDKyGCX8igtBQg3adG4F4X7ZtVYwRSS9NFH7yOh8XAhQ1ed+WskMH2MDsr5bjbtDtYBFTCw==","signature_status":"signed_v1","signed_at":"2026-06-30T01:18:00.454242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.29290","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9533bb12c5375598d36985cb652b09ec0880887dbceda3bf7e82846f346e7ef9","sha256:34eef3c5fda27c38f73e9e89992ee184c1ff064763924cf57fd4048d3fe11842"],"state_sha256":"fa6d1ef06bd1bf315fe470467c41224628632d7d0138550b05236eb7aba12402"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vo3ZijlZPc797caKhbkaUkkF/PQNbua1ndGcndyZ4y1Gd4saVDS8aBhx3xiLLt1zI9feI1hQPUqKd/Rd4bbCAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T17:56:34.005933Z","bundle_sha256":"7acee9e2e1fb58ee7b4b0cb1afa1e47a46445c379c5ab139e1e182faa54ad1ed"}}