{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WWFSQSASVFG5NQD7KKO2P2WEG2","short_pith_number":"pith:WWFSQSAS","canonical_record":{"source":{"id":"2606.12942","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T06:09:51Z","cross_cats_sorted":[],"title_canon_sha256":"0d43a8c0cdf4742c3dc028095730766eee07bb87e780f7af07cb9a57ee9ced30","abstract_canon_sha256":"750876d8d87db15152f58718da8df923c6a2b6b10ca2eb1ddb28cd36434d87d1"},"schema_version":"1.0"},"canonical_sha256":"b58b284812a94dd6c07f529da7eac436a893263afd7fe7ff9812ad0bb1502183","source":{"kind":"arxiv","id":"2606.12942","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12942","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12942v1","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12942","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"WWFSQSASVFG5","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"pith_short_16","alias_value":"WWFSQSASVFG5NQD7","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"pith_short_8","alias_value":"WWFSQSAS","created_at":"2026-06-12T01:09:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WWFSQSASVFG5NQD7KKO2P2WEG2","target":"record","payload":{"canonical_record":{"source":{"id":"2606.12942","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T06:09:51Z","cross_cats_sorted":[],"title_canon_sha256":"0d43a8c0cdf4742c3dc028095730766eee07bb87e780f7af07cb9a57ee9ced30","abstract_canon_sha256":"750876d8d87db15152f58718da8df923c6a2b6b10ca2eb1ddb28cd36434d87d1"},"schema_version":"1.0"},"canonical_sha256":"b58b284812a94dd6c07f529da7eac436a893263afd7fe7ff9812ad0bb1502183","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-12T01:09:35.125114Z","signature_b64":"F3PveFaIybFWbWPfYJOTKsv1vRSZI727Y2ByHtPHCHK3W6DWESZYLp2kNTO4Kd281q7KlcLqCECbbAu1oGObCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b58b284812a94dd6c07f529da7eac436a893263afd7fe7ff9812ad0bb1502183","last_reissued_at":"2026-06-12T01:09:35.124710Z","signature_status":"signed_v1","first_computed_at":"2026-06-12T01:09:35.124710Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.12942","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":"2026-06-12T01:09:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yE4DR9LOP+u0V3cD42kHYBKCus7oD6DEPm7KYdBH8h9F7FUvNuKRuFV8JrHTw+1XeLLvx+j09ySgQZa+C1oFDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T03:29:18.655790Z"},"content_sha256":"4d749235dddeb1a3fef2269b1280ba3f0f61d618fa44d89f0038c714847417fc","schema_version":"1.0","event_id":"sha256:4d749235dddeb1a3fef2269b1280ba3f0f61d618fa44d89f0038c714847417fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WWFSQSASVFG5NQD7KKO2P2WEG2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Annan Wang, Hao Jiang, Haoxiang Zhang, Weisi Lin, Xin Li, Yichi Zhang, Zhi Yang","submitted_at":"2026-06-11T06:09:51Z","abstract_excerpt":"Generative listwise ranking with Large Multimodal Models (LMMs) aims to capture global list context in a single forward pass, but\n  its effectiveness degrades in long-context multimodal scenarios. We identify a recurring failure mode, parse collapse, where the\n  autoregressive decoder produces fluent yet incomplete rankings by silently omitting candidates and terminating early. This\n  failure stems from limited context utilization rather than simple formatting mistakes, making prompt engineering and constrained\n  decoding insufficient. We propose PRISMR (Parameterized Representation Internaliz"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12942","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/2606.12942/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":"2026-06-12T01:09:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6Zs6tIt+7kv83wq4NYhTucLu67vvfuEir4BD6EUrWOPTJhnhaDA51RYQCIzT+1F8wT0Pl6GCP1ja+NJzuFYSAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T03:29:18.656187Z"},"content_sha256":"066f8b6ecc983225572e1d96daf12e7c0db646f13d9f65f355291b74b4c4dbeb","schema_version":"1.0","event_id":"sha256:066f8b6ecc983225572e1d96daf12e7c0db646f13d9f65f355291b74b4c4dbeb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WWFSQSASVFG5NQD7KKO2P2WEG2/bundle.json","state_url":"https://pith.science/pith/WWFSQSASVFG5NQD7KKO2P2WEG2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WWFSQSASVFG5NQD7KKO2P2WEG2/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":"2026-07-04T03:29:18Z","links":{"resolver":"https://pith.science/pith/WWFSQSASVFG5NQD7KKO2P2WEG2","bundle":"https://pith.science/pith/WWFSQSASVFG5NQD7KKO2P2WEG2/bundle.json","state":"https://pith.science/pith/WWFSQSASVFG5NQD7KKO2P2WEG2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WWFSQSASVFG5NQD7KKO2P2WEG2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WWFSQSASVFG5NQD7KKO2P2WEG2","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":"750876d8d87db15152f58718da8df923c6a2b6b10ca2eb1ddb28cd36434d87d1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T06:09:51Z","title_canon_sha256":"0d43a8c0cdf4742c3dc028095730766eee07bb87e780f7af07cb9a57ee9ced30"},"schema_version":"1.0","source":{"id":"2606.12942","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12942","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12942v1","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12942","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"pith_short_12","alias_value":"WWFSQSASVFG5","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"pith_short_16","alias_value":"WWFSQSASVFG5NQD7","created_at":"2026-06-12T01:09:35Z"},{"alias_kind":"pith_short_8","alias_value":"WWFSQSAS","created_at":"2026-06-12T01:09:35Z"}],"graph_snapshots":[{"event_id":"sha256:066f8b6ecc983225572e1d96daf12e7c0db646f13d9f65f355291b74b4c4dbeb","target":"graph","created_at":"2026-06-12T01:09:35Z","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/2606.12942/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative listwise ranking with Large Multimodal Models (LMMs) aims to capture global list context in a single forward pass, but\n  its effectiveness degrades in long-context multimodal scenarios. We identify a recurring failure mode, parse collapse, where the\n  autoregressive decoder produces fluent yet incomplete rankings by silently omitting candidates and terminating early. This\n  failure stems from limited context utilization rather than simple formatting mistakes, making prompt engineering and constrained\n  decoding insufficient. We propose PRISMR (Parameterized Representation Internaliz","authors_text":"Annan Wang, Hao Jiang, Haoxiang Zhang, Weisi Lin, Xin Li, Yichi Zhang, Zhi Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T06:09:51Z","title":"PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12942","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":"sha256:4d749235dddeb1a3fef2269b1280ba3f0f61d618fa44d89f0038c714847417fc","target":"record","created_at":"2026-06-12T01:09:35Z","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":"750876d8d87db15152f58718da8df923c6a2b6b10ca2eb1ddb28cd36434d87d1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-11T06:09:51Z","title_canon_sha256":"0d43a8c0cdf4742c3dc028095730766eee07bb87e780f7af07cb9a57ee9ced30"},"schema_version":"1.0","source":{"id":"2606.12942","kind":"arxiv","version":1}},"canonical_sha256":"b58b284812a94dd6c07f529da7eac436a893263afd7fe7ff9812ad0bb1502183","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b58b284812a94dd6c07f529da7eac436a893263afd7fe7ff9812ad0bb1502183","first_computed_at":"2026-06-12T01:09:35.124710Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-12T01:09:35.124710Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F3PveFaIybFWbWPfYJOTKsv1vRSZI727Y2ByHtPHCHK3W6DWESZYLp2kNTO4Kd281q7KlcLqCECbbAu1oGObCQ==","signature_status":"signed_v1","signed_at":"2026-06-12T01:09:35.125114Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12942","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4d749235dddeb1a3fef2269b1280ba3f0f61d618fa44d89f0038c714847417fc","sha256:066f8b6ecc983225572e1d96daf12e7c0db646f13d9f65f355291b74b4c4dbeb"],"state_sha256":"398cff769b6908e2c2b179ca8be8c0ed3615b7e9e070aa2f77a9f3a9b04d69f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sS5pSjUbJoXtGpZGnZnF1SkF9tI5PoHCe0E9VH37Wa3q6CQeGigFFH6mvbBE5Lc/Gt7qInag1gso4WxEmF4rDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T03:29:18.658849Z","bundle_sha256":"89fdb2acfa02347ec35a017da6f36380fd6a92e7ffe5d6c3e0b27a2b443a79f5"}}