{"assessments":[],"deployments":[],"fuzz":[],"identity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"interpretation":"Records acceptance and evidence. Neither completion nor an AI assessment establishes correctness, safety, or independent review.","jobId":"e8f41c60-2b58-448e-9b84-4bfa258d9d6d","kind":"shape:chain","nodes":[{"acceptedSubmissionHash":"f1ea4455ce6b3c4237fbae9b04e0b5c230ecb24b6d6c2efa999d7e94c22e4a30","dependsOn":[],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"},{"acceptedSubmissionHash":"8fc1e7e012f23ac055617f76d9d56eac63c89c79eb1239934028c32d9771d7b6","dependsOn":["research_report"],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report_2","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"},{"acceptedSubmissionHash":"c9d006f20594efe4ef9fe097b5857935f9d2e7fdb5896d3032c9be0114a4637d","dependsOn":["research_report_2"],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report_3","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"},{"acceptedSubmissionHash":"851ae9f514817cd2ff7e2d033cfebfc8cad378c6a35b34982edaf94c3fafb4e6","dependsOn":["research_report_3"],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report_4","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"},{"acceptedSubmissionHash":"d70a0bfb083e2a3787824a0e8e67d59149f5654fea8a95e58aefa60e1056896a","dependsOn":["research_report_4"],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report_5","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"},{"acceptedSubmissionHash":"f14bff6e6a84da7df10bc40177abbe8f5f504831c5ce1b950acc27c87b840c93","dependsOn":["research_report_5"],"execution":{"network":true,"profile":"none","requires":["network"],"skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","tools":[]},"key":"research_report_6","kind":"code","role":"implement","skillHash":"3ddca93330036359dd721585e58e67820336a0398b7927b3c89369d6134f30f6","skillId":"research-report","state":"accepted"}],"objective":"Fren Pet Costume Contest 2026 group 2\n\nYou are one guest judge at a community costume contest. Imagine these digital pets presented by their players who made the costumes for the pets.\n\nChoose the costumes you find most impressive, creative and memorable overall. Use the guidelines below to inform your judgment, without assigning numerical scores or mechanically counting features.\n\nWrite a judging report based on visually inspecting the supplied images. You are judging existing costumes, not creating images or designing new costumes.\n\nEligible entries: A, B, C, D, E, F, G. There are exactly seven entries.\n\nCostume collage:\nhttps://fren-pet-h2026-collage.rckmtlshared.chatgpt.site/FPCC-2026-actual-entries-A-G.png\n\nLayout:\nTop row: A, B, C\nMiddle row: D, E, F\nBottom row: G, centered. The empty spaces are not entries.\n\nNormal-pet reference:\nhttps://fren-pet-h2026-collage.rckmtlshared.chatgpt.site/Fren-Pet-normal-appearance-reference.png\n\nThe reference is not an entry. Use it to distinguish normal pet features from player-created costume elements.\n\nThese are Fren Pets from pet.game. Their players used the in-game Hat Crafter to make costumes.\n\nLook favorably on:\n- Creativity, interesting or unique idea or a known idea/char being executed very well.\n- Complexity, if it has lots of details, if you can easily tell what it's meant to be, if the details are interesting or highly detailed themselves.\n- It actually looks like the pet is wearing a costume(ie: it sits well on the pet and looks natural, or, it totally transforms the pet); if it feels like the pet \"dressed up\"\n\nBe extra impressed if-\n- There are visible costume-related props. more props is more impressive\n- Coordinated multi-piece costumes. more pieces is more impressive\n- Inventive use of the Hat Crafter that goes beyond ordinary headwear.\n-Feels like it has a strong \"wow\" factor\n\nThe original pet may be completely covered, that is fine.\nIt is also fine if parts of the pet are showing.\n\nBe less impressed for costumes with-\n-Visibly poor execution \n-Bland/unclear design \n-Low quality(poor resolution or defects in the costume images)\n-Lacks a \"wow\" factor\n\nJudge the visible result. Do not guess how much time, effort or technical difficulty went into making it.\n\nGive credit only for costume elements. Ignore intrinsic pet traits, backgrounds, labels, tile position and screenshot quality.\n\nForm your own judgment. Do not open or read other judges’ reports, search for contest results, or try to predict what other judges will choose. Do not simulate additional judges.\n\nActually inspect the collage, the normal-pet reference and every eligible entry. Successfully opening a URL is not enough by itself. If a detail is too small in the collage, open that entry’s individual crop:\nhttps://fren-pet-h2026-collage.rckmtlshared.chatgpt.site/FPCC-2026-entry-{LETTER}.png\nReplace {LETTER} with A, B, C, D, E, F or G. These are detail views of the same seven entries, not additional entries.\n\nIf you cannot visually inspect the images clearly enough to judge all seven entries, return status “unable_to_judge” and explain the limitation. Do not invent observations, provide a guessed ranking, or treat missing evidence as a poor costume.\n\nOtherwise, return status “judged” and provide:\n1. One concrete visual observation and a brief impression of each entry.\n2. Your complete preference order, best to least preferred, using every letter A–G exactly once.\n3. A short explanation of why your first choice deserves to win.\n4. A short explanation of why your second choice deserves runner-up.\n5. A short explination of why your third choice deserves 3rd place\n6. Any important uncertainty or particularly close choice.\n\nYour ranking should reflect your overall preference under these guidelines. Do not use category scores, weights or a points table.\n\nKeep the report concise and grounded in visible details. No additional web research is needed.\n\nWrite your report and matching JSON ballot to the filenames assigned to your judging step. Both must contain the same ranking and choices.\n","parentJobId":null,"planHash":"4a7d086c99d895807669386973eafaad15173ebbb37cfa7dcdbe0e7f3738029c","previousHash":"0000000000000000000000000000000000000000000000000000000000000000","projectId":"e8f41c60-2b58-448e-9b84-4bfa258d9d6d","publication":{"commit":null,"deliveredAt":null,"repoUrl":null},"receiptIdentity":{"adapter":"0xde152afb7db5373f34876e1499fbd893a82dd336","chainId":1,"collection":"0x0000ec93127baa929e58e97dd0095a2bfb38ec1d","registry":"0x8004a169fb4a3325136eb29fa0ceb6d2e539a432"},"registry":"0xb6d0a187b050fa5bb0b87033a203f37becf4a775","research":[],"schema":"identitymd-work-v1","signals":[{"agentId":"51086","feedbackHash":"5f04e2765e20afdca3800ebf3d169f30dadbb3eb88edda05dbf7d2942403d994","nodeKey":"research_report","submissionHash":"f1ea4455ce6b3c4237fbae9b04e0b5c230ecb24b6d6c2efa999d7e94c22e4a30","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51236","feedbackHash":"9cd469d34d43c5f286ec89bb9eeeda5b6bdf6b9436fd8978d6cc22b35a3303ee","nodeKey":"research_report_2","submissionHash":"8fc1e7e012f23ac055617f76d9d56eac63c89c79eb1239934028c32d9771d7b6","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51188","feedbackHash":"1599639f04329734fdf479a3584e7a00fd03a49cb1d4719910d7d225f9580a24","nodeKey":"research_report_3","submissionHash":"c9d006f20594efe4ef9fe097b5857935f9d2e7fdb5896d3032c9be0114a4637d","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"52241","feedbackHash":"85899303092c696d9985f3efc191948775591583a57652ff2f12d00fd8bd9c02","nodeKey":"research_report_4","submissionHash":"851ae9f514817cd2ff7e2d033cfebfc8cad378c6a35b34982edaf94c3fafb4e6","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51458","feedbackHash":"a3c4b83df12dbd558fbd6f3e2cad566e5f361cbd6185123b10f56eab462b4d7f","nodeKey":"research_report_5","submissionHash":"d70a0bfb083e2a3787824a0e8e67d59149f5654fea8a95e58aefa60e1056896a","tag1":"verification:structural","tag2":"acceptance-v2","value":1},{"agentId":"51358","feedbackHash":"7153fa4d7547f244abb6502c706025fdc8367d7c11c15a2559ff01568123ad85","nodeKey":"research_report_6","submissionHash":"f14bff6e6a84da7df10bc40177abbe8f5f504831c5ce1b950acc27c87b840c93","tag1":"verification:structural","tag2":"acceptance-v2","value":1}],"site":null,"snapshotHash":"cf7bdbc4c304612515ccb77e501949b76f0c73906a948bb83dce4c065e179d0f","state":"completed","submissions":[{"artifacts":[{"bytes":4246,"hash":"5d909b99e2a45ad049856730256a79fb80bdba9f085f0ed5c7c786ca22e6f0db","mediaType":"text/markdown","name":"judge-4-report","path":"artifacts/fpcc/group-2/judge-4.md"},{"bytes":3805,"hash":"330fb6be1e598d93460fb9466945a4186ec31fa124e8c4dd8de2b241d24de3fa","mediaType":"application/json","name":"judge-4-ballot","path":"artifacts/fpcc/group-2/judge-4.json"}],"attempt":1,"bundleHash":null,"device":"0bd6e7ef3fc9345a","findings":[],"hash":"851ae9f514817cd2ff7e2d033cfebfc8cad378c6a35b34982edaf94c3fafb4e6","nodeId":"6176d593-de3a-44ad-a67e-ca898eb559dd","outcome":"completed","summary":"Created the [report](artifacts/fpcc/group-2/judge-4.md) and [JSON ballot](artifacts/fpcc/group-2/judge-4.json).\n\nRanking: **F > E > D > A > G > C > B**.\n\nInspected all required images and verified that both files agree.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":138112,"inputTokens":23674,"model":null,"outputTokens":2768,"runtime":"codex","turns":3,"wallClockMs":73961}},{"artifacts":[{"bytes":566,"hash":"a9992776a36b21dc9c93e6158c1ccb98031706379e9a266ddccb29806683cca8","mediaType":"text/markdown","name":"judge-2-report","path":"artifacts/fpcc/group-2/judge-2.md"},{"bytes":529,"hash":"e74813232fcb9b898f91a19939c7160bff7be4e732d130a3009d855104e8e050","mediaType":"application/json","name":"judge-2-ballot","path":"artifacts/fpcc/group-2/judge-2.json"}],"attempt":1,"bundleHash":null,"device":"08261d0cc6850daf","findings":[],"hash":"8fc1e7e012f23ac055617f76d9d56eac63c89c79eb1239934028c32d9771d7b6","nodeId":"0573ff85-2ca1-4af8-97e3-057cef93f1f6","outcome":"completed","summary":"Created the judge-2 Markdown report and JSON ballot. Both record `unable_to_judge` because the image host returned HTTP 403 for the collage, reference, and all entry crops. The JSON parses successfully.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":105088,"cost":{"source":"estimated","usdMicros":5305},"inputTokens":34249,"model":"gpt-6-luna","outputTokens":1659,"runtime":"codex","turns":3,"wallClockMs":51864}},{"artifacts":[{"bytes":4907,"hash":"2b8736dc227b2d121f6ceef2a7877180b92b2a30d0aec0155ddc3726486450cd","mediaType":"text/markdown","name":"judge-3-report","path":"artifacts/fpcc/group-2/judge-3.md"},{"bytes":4568,"hash":"bd4b77806deca2afb31cf1e8537d7c681661db3267fd3f78db542a8629df2df1","mediaType":"application/json","name":"judge-3-ballot","path":"artifacts/fpcc/group-2/judge-3.json"}],"attempt":1,"bundleHash":null,"device":"0b0761c9b10fe0bb","findings":[],"hash":"c9d006f20594efe4ef9fe097b5857935f9d2e7fdb5896d3032c9be0114a4637d","nodeId":"79f237f3-0a48-4060-a3cd-dbd4ad916a66","outcome":"completed","summary":"I've written my judge-3 ballot. All seven entries were clear enough to judge, so the status is **judged**. I looked at the collage, the normal-pet reference and each entry's close-up crop, and didn't open the judge-1 or judge-2 files.\n\n**My ranking, best to least preferred:** F, A, E, D, G, C, B\n\n1. **F wins.** It's the most dramatic costume: full black-and-gold samurai armor with a horned helmet and a gold dragon shoulder piece, a sword wreathed in purple flame, and a separate shadow beast standing beside the pet. That beast goes well beyond a hat.\n2. **A is runner-up.** It's a detailed armored monkey warrior with red-and-gold armor, a horned crown helmet and a matching staff, and it fits the pet's monkey face and ears.\n3. **E is third.** It instantly reads as a famous TV landscape painter: afro wig, beard, denim outfit, plus two props (a paintbrush and an easel with a finished landscape).\n4. **D, G, C, B** follow. D completely hides the pet under a spooky wizard costume but is small and dark. G is a clean admiral costume with a spyglass but leaves a big bare head. C is just a cap and a sword. B is a single knight's helmet.\n\n**Close calls:** A vs E for second, and E vs D for third, were both near ties; the report gives my reasons. The species I name for some pets (monkey in A, penguin in C) are my guesses from the reference sheet and didn't change the ranking.\n\nThe Markdown and JSON files give the same ranking and top three. The JSON has seven observations, each letter appears exactly once, and there are no scores. Both files are left untracked for upload.\n\nFiles are in `artifacts/fpcc/group-2/`:\n- `judge-3.md`\n- `judge-3.json`","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":206011,"cost":{"source":"runtime","usdMicros":448929},"inputTokens":17,"model":"claude-opus-5-5","outputTokens":7449,"runtime":"claude","turns":17,"wallClockMs":81147}},{"artifacts":[{"bytes":4301,"hash":"2b59beb0b6747fbed75b50487c051f2b3661250eda738cb400d3a96d094c0beb","mediaType":"text/markdown","name":"judge-5-report","path":"artifacts/fpcc/group-2/judge-5.md"},{"bytes":3897,"hash":"2a4196e4f1fa01c29cc653007115893f64a314b4a0924b8f7dab8369a122b960","mediaType":"application/json","name":"judge-5-ballot","path":"artifacts/fpcc/group-2/judge-5.json"}],"attempt":1,"bundleHash":null,"device":"0d3a91a6089edc68","findings":[],"hash":"d70a0bfb083e2a3787824a0e8e67d59149f5654fea8a95e58aefa60e1056896a","nodeId":"aa8a5b43-607c-4aae-a9c1-be3a9d10f209","outcome":"completed","summary":"Created and validated both required files:\n\n- [Judging report](artifacts/fpcc/group-2/judge-5.md)\n- [JSON ballot](artifacts/fpcc/group-2/judge-5.json)\n\nStatus: **judged**. Ranking: **F > E > A > D > G > C > B**.\n\nVisually inspected the collage, reference, and all seven individual entries. Both outputs agree.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":134784,"inputTokens":13832,"model":null,"outputTokens":2493,"runtime":"codex","turns":3,"wallClockMs":81568}},{"artifacts":[{"bytes":4080,"hash":"0d704d657cc4d50dbe20585afb32fce93ba254a985acdcf6db66383fcbd9673b","mediaType":"text/markdown","name":"judge-6-report","path":"artifacts/fpcc/group-2/judge-6.md"},{"bytes":3680,"hash":"a1deaf4a3b3b90b64b5102b7598f9858db961030f79eb9f599ab850f02254584","mediaType":"application/json","name":"judge-6-ballot","path":"artifacts/fpcc/group-2/judge-6.json"}],"attempt":1,"bundleHash":null,"device":"0e53ef0bd01824cb","findings":[],"hash":"f14bff6e6a84da7df10bc40177abbe8f5f504831c5ce1b950acc27c87b840c93","nodeId":"95d0e549-730e-49a4-9e78-37791398deed","outcome":"completed","summary":"Created both requested files:\n\n- [Judging report](artifacts/fpcc/group-2/judge-6.md)\n- [JSON ballot](artifacts/fpcc/group-2/judge-6.json)\n\nRanking: **F > E > A > D > G > C > B**.\n\nInspected all supplied images. Validation confirmed matching observations, ranking, choices, and explanations.","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":246912,"cost":{"source":"estimated","usdMicros":126028},"inputTokens":23113,"model":"gpt-6.1-sol","outputTokens":3042,"runtime":"codex","turns":3,"wallClockMs":110383}},{"artifacts":[{"bytes":4139,"hash":"58ba24286ab7fd96ff1b5f64c678b5af3448f8ac50aef654e3c7b6b57ee6f623","mediaType":"text/markdown","name":"judge-1-report","path":"artifacts/fpcc/group-2/judge-1.md"},{"bytes":3625,"hash":"1b529336aa47892ca5ecd0920884314b4b832722a9af81abaa904a469bbe92b8","mediaType":"application/json","name":"judge-1-ballot","path":"artifacts/fpcc/group-2/judge-1.json"}],"attempt":1,"bundleHash":null,"device":"080780b6898c2241","findings":[],"hash":"f1ea4455ce6b3c4237fbae9b04e0b5c230ecb24b6d6c2efa999d7e94c22e4a30","nodeId":"4463788d-9ae7-4cda-bc77-60ad76a716e1","outcome":"completed","summary":"Created and checked both matching ballots after visually inspecting all required images.\n\nRanking: **F > E > A > D > G > C > B**\n\n- [Judging report](artifacts/fpcc/group-2/judge-1.md)\n- [JSON ballot](artifacts/fpcc/group-2/judge-1.json)","treeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","usage":{"cachedInputTokens":78208,"inputTokens":11125,"model":null,"outputTokens":1893,"runtime":"codex","turns":3,"wallClockMs":51169}}],"verification":[{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"851ae9f514817cd2ff7e2d033cfebfc8cad378c6a35b34982edaf94c3fafb4e6","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"8fc1e7e012f23ac055617f76d9d56eac63c89c79eb1239934028c32d9771d7b6","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"c9d006f20594efe4ef9fe097b5857935f9d2e7fdb5896d3032c9be0114a4637d","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"d70a0bfb083e2a3787824a0e8e67d59149f5654fea8a95e58aefa60e1056896a","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"f14bff6e6a84da7df10bc40177abbe8f5f504831c5ce1b950acc27c87b840c93","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"},{"checks":[],"detail":"paths and tree verified; no suite was run for this kind of work","evaluation":"structural","profile":"none","status":"accepted","submissionHash":"f1ea4455ce6b3c4237fbae9b04e0b5c230ecb24b6d6c2efa999d7e94c22e4a30","verifiedTreeHash":"4b825dc642cb6eb9a060e54bf8d69288fbee4904","verifierVersion":"0.1.0+18543036"}]}