{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:L2RBTGPT4W3N2AO5ZXNJRCSYRO","short_pith_number":"pith:L2RBTGPT","canonical_record":{"source":{"id":"2601.05485","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-01-09T02:38:24Z","cross_cats_sorted":[],"title_canon_sha256":"b97bf21a73eb49c00f706434215a4fec517336e027781423ecf402e2a4d33b96","abstract_canon_sha256":"94eb5b889802b183339942d459e77e46656219838cf10c55d66c9173de5ba350"},"schema_version":"1.0"},"canonical_sha256":"5ea21999f3e5b6dd01ddcdda988a588ba63a50076c3abe96b0c01b65cbae639d","source":{"kind":"arxiv","id":"2601.05485","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.05485","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"arxiv_version","alias_value":"2601.05485v2","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.05485","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"pith_short_12","alias_value":"L2RBTGPT4W3N","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"pith_short_16","alias_value":"L2RBTGPT4W3N2AO5","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"pith_short_8","alias_value":"L2RBTGPT","created_at":"2026-07-30T01:19:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:L2RBTGPT4W3N2AO5ZXNJRCSYRO","target":"record","payload":{"canonical_record":{"source":{"id":"2601.05485","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-01-09T02:38:24Z","cross_cats_sorted":[],"title_canon_sha256":"b97bf21a73eb49c00f706434215a4fec517336e027781423ecf402e2a4d33b96","abstract_canon_sha256":"94eb5b889802b183339942d459e77e46656219838cf10c55d66c9173de5ba350"},"schema_version":"1.0"},"canonical_sha256":"5ea21999f3e5b6dd01ddcdda988a588ba63a50076c3abe96b0c01b65cbae639d","receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ea21999f3e5b6dd01ddcdda988a588ba63a50076c3abe96b0c01b65cbae639d","last_reissued_at":"2026-07-30T01:19:24.237953Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:19:24.237953Z"},"source_kind":"arxiv","source_id":"2601.05485","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":"2026-07-30T01:19:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LdQB4/5MuWucyXjqtmKabVtppPp5+QQQbw5vKjTlc/FnxveBDaEVXJyFEedmRSH2lD6mIIiHGiuFZOpg5GsLCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:14:34.448707Z"},"content_sha256":"4badc01e647b8457c1bc31f11db05baec826f8dfb69088778385517d6f6d232e","schema_version":"1.0","event_id":"sha256:4badc01e647b8457c1bc31f11db05baec826f8dfb69088778385517d6f6d232e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:L2RBTGPT4W3N2AO5ZXNJRCSYRO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Readability-Robust Code Summarization via Meta Curriculum Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Fandong Meng, Hao Zhou, Jie Zhou, Wenhao Zeng, Xiaodong Gu, Yitian Chai","submitted_at":"2026-01-09T02:38:24Z","abstract_excerpt":"Code summarization has emerged as a fundamental technique in the field of program comprehension. While code language models have shown significant advancements, the current models and benchmarks are confined to high-readability code, which contains sufficient semantic cues such as function and variable names. In the real world, however, code is often poorly structured or obfuscated, significantly degrading model performance. In this paper, we first empirically evaluate the robustness of state-of-the-art language models on poor-readability code for the task of code summarization, focusing on (1"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.05485","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/2601.05485/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":"2026-07-30T01:19:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fp+sKM/+C7jefB1EsFQS79crIyT46N6aTvdZJMBwZauWegoGlHhNYZG3DIq7KLQ6TNMkjW0o1uMrKLmri5lYBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:14:34.449223Z"},"content_sha256":"66f45c7c2fd3f52642d3a14460d0a951a5521c4446e0392b19dba883fe76fe6e","schema_version":"1.0","event_id":"sha256:66f45c7c2fd3f52642d3a14460d0a951a5521c4446e0392b19dba883fe76fe6e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L2RBTGPT4W3N2AO5ZXNJRCSYRO/bundle.json","state_url":"https://pith.science/pith/L2RBTGPT4W3N2AO5ZXNJRCSYRO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L2RBTGPT4W3N2AO5ZXNJRCSYRO/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":"2026-08-04T09:14:34Z","links":{"resolver":"https://pith.science/pith/L2RBTGPT4W3N2AO5ZXNJRCSYRO","bundle":"https://pith.science/pith/L2RBTGPT4W3N2AO5ZXNJRCSYRO/bundle.json","state":"https://pith.science/pith/L2RBTGPT4W3N2AO5ZXNJRCSYRO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L2RBTGPT4W3N2AO5ZXNJRCSYRO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:L2RBTGPT4W3N2AO5ZXNJRCSYRO","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":"94eb5b889802b183339942d459e77e46656219838cf10c55d66c9173de5ba350","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-01-09T02:38:24Z","title_canon_sha256":"b97bf21a73eb49c00f706434215a4fec517336e027781423ecf402e2a4d33b96"},"schema_version":"1.0","source":{"id":"2601.05485","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.05485","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"arxiv_version","alias_value":"2601.05485v2","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.05485","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"pith_short_12","alias_value":"L2RBTGPT4W3N","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"pith_short_16","alias_value":"L2RBTGPT4W3N2AO5","created_at":"2026-07-30T01:19:24Z"},{"alias_kind":"pith_short_8","alias_value":"L2RBTGPT","created_at":"2026-07-30T01:19:24Z"}],"graph_snapshots":[{"event_id":"sha256:66f45c7c2fd3f52642d3a14460d0a951a5521c4446e0392b19dba883fe76fe6e","target":"graph","created_at":"2026-07-30T01:19:24Z","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/2601.05485/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code summarization has emerged as a fundamental technique in the field of program comprehension. While code language models have shown significant advancements, the current models and benchmarks are confined to high-readability code, which contains sufficient semantic cues such as function and variable names. In the real world, however, code is often poorly structured or obfuscated, significantly degrading model performance. In this paper, we first empirically evaluate the robustness of state-of-the-art language models on poor-readability code for the task of code summarization, focusing on (1","authors_text":"Fandong Meng, Hao Zhou, Jie Zhou, Wenhao Zeng, Xiaodong Gu, Yitian Chai","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-01-09T02:38:24Z","title":"Readability-Robust Code Summarization via Meta Curriculum Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.05485","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":"sha256:4badc01e647b8457c1bc31f11db05baec826f8dfb69088778385517d6f6d232e","target":"record","created_at":"2026-07-30T01:19:24Z","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":"94eb5b889802b183339942d459e77e46656219838cf10c55d66c9173de5ba350","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-01-09T02:38:24Z","title_canon_sha256":"b97bf21a73eb49c00f706434215a4fec517336e027781423ecf402e2a4d33b96"},"schema_version":"1.0","source":{"id":"2601.05485","kind":"arxiv","version":2}},"canonical_sha256":"5ea21999f3e5b6dd01ddcdda988a588ba63a50076c3abe96b0c01b65cbae639d","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ea21999f3e5b6dd01ddcdda988a588ba63a50076c3abe96b0c01b65cbae639d","first_computed_at":"2026-07-30T01:19:24.237953Z","kind":"pith_receipt","last_reissued_at":"2026-07-30T01:19:24.237953Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2601.05485","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4badc01e647b8457c1bc31f11db05baec826f8dfb69088778385517d6f6d232e","sha256:66f45c7c2fd3f52642d3a14460d0a951a5521c4446e0392b19dba883fe76fe6e"],"state_sha256":"19a6012573564a7122454b29539812a0f979519b9c5dcc8d33e9d5aed4a7e263"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PE+Rzs2GHDhoz3ivg90HGIjfdsO8ZYeqKOA+QA4KC+K5lmkyPOmSLPLsAKYovIPOj9ncvHa/jhJeHIXpJzarAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:14:34.453051Z","bundle_sha256":"ad24d8d0aabbc9dffaea68ad15be703652aace615335944c77d2cf91b457708f"}}