{ "schemaVersion": "supplymo.1688-weight-provenance-evidence.v1", "studyId": "2026-08-15-1688-weight-provenance", "collectedOn": "2026-08-12", "evidenceVersion": 1, "provenance": { "publisher": "Supplymo", "sourceAggregateFormat": "Local read-only API sample (JSON, repository-tracked)", "sourceAggregateSha256": "5c1d0a524f807ca60db596cc2b390725682d4ebbb9313d5a269dbc15f22fce84", "samplingScript": "scripts/research/sample-1688-weight-provenance.mjs", "sanitization": "No supplier identity is present in this file. The sampling script records the keyword, shipping-block booleans, weight/dimension numerics and the platform's own source labels only. Shop names, company names, titles, prices, offer IDs and contact details are never written to the published file.", "namedAuthor": null, "namedReviewer": null, "attributionNote": "This evidence file does not assert a named author or human reviewer. A public page using it must carry its own byline and state who checked the figures." }, "methodology": { "sourceApi": "com.alibaba.fenxiao.crossborder:product.search.keywordQuery + product.search.queryProductDetail (read-only)", "platform": "1688, the domestic Chinese wholesale marketplace", "samplingFrame": "12 English keyword searches on the cross-border distribution channel, first results page only, platform-ranked rows. Keywords are bulky home goods, chosen because volumetric weight dominates their freight cost, so a wrong weight or missing dimensions is most expensive exactly here.", "signalFields": [ "productShippingInfo.skuShippingDetails[].pkgSizeSource", "productShippingInfo.skuShippingDetails[].officialWeight / aiWeight / weight", "productShippingInfo.skuShippingDetails[].aiWeightAccuracy", "productShippingInfo.skuShippingDetails[].length / width / height" ], "collectionWindow": "Single day, 2026-08-12 in China", "writeOperations": "None. No order, payment, enquiry, messaging or logistics endpoint was called.", "ambiguityChecks": [ { "question": "When dimensions are missing, is that an absent field or a value of zero we failed to distinguish?", "method": "Record for every SKU row whether each of length, width and height was returned at all, separately from whether the returned value was positive. Publish the three-way split.", "result": "Of 120 listings, 45 returned complete positive dimensions, 74 returned the fields with zero or partial values, and 1 did not return the fields at all.", "conclusion": "The three states are reported separately. 'No dimensions shown' in this study always means the field itself was absent or incomplete, never a zero we misread." }, { "question": "Does the platform's AI weight-estimation machinery show up on these listings?", "method": "The detail schema carries aiWeight and aiWeightAccuracy keys, so AI-estimated weights are counted separately from merchant-reported and measured ones wherever the platform labels them.", "result": "Zero of 120 listings carried an AI-estimated weight label. The displayed weights are merchant self-reported on 117 listings and measured logistics returns on 3. The same pattern held in an earlier draw of the same frame.", "conclusion": "The study reports provenance, not accuracy. A merchant-reported weight may be correct; the point is that nothing in the listing shows it was measured." }, { "question": "Is the weight-source label listing-level or copied shop-wide?", "method": "Source labels vary across SKU rows within single listings and across listings under the same keyword.", "result": "Distribution recorded per listing in the rows array for reader re-computation.", "conclusion": "Treated as listing-level data as returned by the detail endpoint." } ], "fieldDictionary": { "keyword": "The English search term the listing was found under. Not a platform category.", "hasShippingBlock": "Whether the detail response contained a productShippingInfo block at all.", "skuRows": "Number of SKU shipping rows in the response.", "weightSources": "Distinct source labels the platform attached to the package-size data, as returned (for example merchant self-reported or AI-estimated).", "weightFieldReturned": "Whether any weight key was present in the response, so an absent weight can be distinguished from a zero weight.", "weightsKg": "The weights read from the SKU rows, in kilograms, one per SKU row where a positive value was returned.", "aiAccuracies": "The platform's own confidence values attached to AI-estimated weights, where returned.", "dimsFieldReturned": "Whether any of length, width or height was present in the response at all.", "dimsZeroOrPartial": "Whether dimension keys were present but at least one was zero or missing, which does not count as complete.", "hasCompleteDims": "Whether all three dimensions were returned as positive numbers." } }, "limitations": [ "This is not a random sample. Rows come from the first page of a keyword search, which the platform ranks. Highly ranked listings are, if anything, more likely to carry complete shipping data than an average listing.", "This measures where the displayed weight and dimensions come from, not whether they are correct. No parcel was weighed. An AI-estimated weight can be accurate and a merchant-reported one can be wrong.", "The source labels and the AI confidence figure are the platform's own. We did not audit how the platform estimates weights or computes confidence.", "The keywords are bulky English-language home goods chosen because volumetric weight dominates their freight cost. Dense, regulated or made-to-order categories may show different provenance and are not represented.", "Single day of collection. Platform fields can change, and no trend is claimed from one observation.", "All figures describe the cross-border distribution channel of the API. Buyers browsing the domestic site directly may see a different presentation.", "Nothing here says a platform or a seller has done anything wrong. A buyer quoting freight from listing data simply deserves to know which numbers were measured and which were modelled.", "The rows are listings, not distinct suppliers. Seller identity is deliberately not collected, so the sample cannot be de-duplicated by shop and one seller may appear more than once." ], "summary": { "listingCount": 120, "keywordCount": 12, "listingsWithShippingBlock": 120, "listingsWhereWeightFieldReturned": 119, "listingsWhereDimsFieldReturned": 119, "weightSourceCounts": { "商家自填": 117, "AE测量回传": 3 }, "listingsWithAiEstimatedWeight": 0, "listingsWithMerchantReportedWeight": 117, "listingsWithMeasuredReturnWeight": 3, "listingsWithNoSourceLabel": 1, "aiAccuracyMedian": null, "aiAccuracySampleSize": 0, "listingsWithCompleteDims": 45, "listingsWithDimsReturnedButZeroOrPartial": 74, "listingsWithNoDimsField": 1, "listingsWithMultipleWeights": 108, "weightSpreadMedian": 1, "weightSpreadMax": 53.7391, "byKeyword": { "storage box": { "listings": 10, "aiSourced": 0, "completeDims": 2 }, "kitchen organizer": { "listings": 10, "aiSourced": 0, "completeDims": 5 }, "laundry basket": { "listings": 10, "aiSourced": 0, "completeDims": 3 }, "plastic stool": { "listings": 10, "aiSourced": 0, "completeDims": 4 }, "hanger": { "listings": 10, "aiSourced": 0, "completeDims": 5 }, "trash can": { "listings": 10, "aiSourced": 0, "completeDims": 3 }, "shoe rack": { "listings": 10, "aiSourced": 0, "completeDims": 2 }, "cutting board": { "listings": 10, "aiSourced": 0, "completeDims": 7 }, "water bottle": { "listings": 10, "aiSourced": 0, "completeDims": 5 }, "desk lamp": { "listings": 10, "aiSourced": 0, "completeDims": 5 }, "pet bed": { "listings": 10, "aiSourced": 0, "completeDims": 0 }, "picnic basket": { "listings": 10, "aiSourced": 0, "completeDims": 4 } } }, "rows": [ { "keyword": "storage box", "hasShippingBlock": true, "skuRows": 3, "weightSources": [ "商家自填" ], "weightFieldReturned": true, "weightsKg": [ 0.04, 0.038, 0.038 ], "aiAccuracies": [], "dimsFieldReturned": true, "dimsZeroOrPartial": true, "hasCompleteDims": false }, { "keyword": "storage box", "hasShippingBlock": true, "skuRows": 30, "weightSources": [ "商家自填" ], 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