Clarify the JSONLite descendant’s intended scope

Document the descendant’s flat string-based schema contract and extraction limitations. Base weights, tokenizer, runtime and scores are unchanged.

README.md

@@ -175,6 +175,8 @@ not establish blanket underlying-content redistribution clearance.
 
 ## Native JSON descendant update
 
+The JSONLite descendant is intended for short English extraction into a flat object with string, nullable-string or string-array fields. It can omit, merge or misassign values even when its JSON is valid. Nested/record schemas, numeric/Boolean outputs, optional-property logic and advanced schema rules are outside that released runner's verified scope. Its reported scores are specific to the documented evaluation panels. See the descendant model card's **Intended use and limitations** section before choosing it for an application; these statements do not describe new capabilities of the pretrained base.
+
 The current [OpenSML-JSONLite-175M-Instruct](https://huggingface.co/OpenSML/OpenSML-JSONLite-175M) adds a joint full-weight JSON extraction SFT to its earlier grounded-QA, extraction and native JSON ancestry. The latest stage mixes original source/schema/JSON TRAIN replay, multiple-value examples and authored prose. The released main checkpoint inherits 19,200 presentations from a 21,144-presentation experiment. It directly generates the complete JSON object; validation follows without assembly or repair.
 
 On the same previously observed 1,444-request SNIPS-derived evaluation, the descendant achieves **1,271/1,444 (88.02%) complete correctness**, **94.17% field accuracy**, **92.88% extracted-value F1**, **92.42% precision**, **93.35% recall**, **95.22% missing-field accuracy** and **100% schema validity**. The observed 60-case playground scores 49/60. Compared with the previous release, 96 requests improve and 24 regress. These are descendant results on repeatedly observed research panels, not scores of this base or a fresh blind benchmark. See the [current JSONLite technical report](https://huggingface.co/OpenSML/OpenSML-JSONLite-175M/blob/main/TECHNICAL_REPORT.md) for the full provenance, protocol and limitations.

SHA256SUMS

@@ -3,10 +3,10 @@
 c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4  LICENSE
 aa0e0453672382a7a0d7ec123d24ad83edde6d19909f141e8305235454d0d027  PACKAGING_VERIFICATION.json
 14819fc05509546bb8218153cf8494c6a3c4e2e4744ce504bdc21ef0d7d1ed59  PRETRAINING_SAMPLES.json
-2e008cfeba481b8f9b37de95df231665e04b72ecc44bf04447580a295fa10d5a  README.md
+a58f64b8926603076f48795746dc508504831fc046b2875dc612c6ad1886ebdf  README.md
 b556a9c2a63f43c904af7460936cff4e6da9ece27d2877ddb8c5eac2346b7f2a  RUN_GUIDE.md
 c3bd058575a0313f716dabb8de8a3d7b729ff413dae5f74b06525c0737dcfac3  SOURCE_FILES.json
-c76d8a9799f36f917c463dadd9d77321241f28a99bd094702887ef2700f39bb9  TECHNICAL_REPORT.md
+148a3100070b92db502dccc7be6b908b4021d8512b79a1466461d94b56e4b124  TECHNICAL_REPORT.md
 3235c99f09bfab6e5ee95e64a382a4975978ec7f8988d33a71d4aaeb0215bf15  THIRD_PARTY_NOTICES.md
 15a0e3b511b97503a611c0da838a7fde1c06ebed34c7103f7cda1782cc6378a4  checkpoint_metadata.json
 22eaa19ba2346558711ff5245b4a1e581a431b7b1c5df3c2342f52407ebbc74a  checkpoint_provenance.json

TECHNICAL_REPORT.md

@@ -153,6 +153,8 @@ underlying-source redistribution clearance.
 
 ## Native JSON descendant update
 
+The JSONLite descendant is intended for short English extraction into a flat object with string, nullable-string or string-array fields. It can omit, merge or misassign values even when its JSON is valid. Nested/record schemas, numeric/Boolean outputs, optional-property logic and advanced schema rules are outside that released runner's verified scope. Its reported scores are specific to the documented evaluation panels. See the descendant model card's **Intended use and limitations** section before choosing it for an application; these statements do not describe new capabilities of the pretrained base.
+
 The current [OpenSML-JSONLite-175M-Instruct](https://huggingface.co/OpenSML/OpenSML-JSONLite-175M) adds a joint full-weight JSON extraction SFT to its earlier grounded-QA, extraction and native JSON ancestry. The latest stage mixes original source/schema/JSON TRAIN replay, multiple-value examples and authored prose. The released main checkpoint inherits 19,200 presentations from a 21,144-presentation experiment. It directly generates the complete JSON object; validation follows without assembly or repair.
 
 On the same previously observed 1,444-request SNIPS-derived evaluation, the descendant achieves **1,271/1,444 (88.02%) complete correctness**, **94.17% field accuracy**, **92.88% extracted-value F1**, **92.42% precision**, **93.35% recall**, **95.22% missing-field accuracy** and **100% schema validity**. The observed 60-case playground scores 49/60. Compared with the previous release, 96 requests improve and 24 regress. These are descendant results on repeatedly observed research panels, not scores of this base or a fresh blind benchmark. See the [current JSONLite technical report](https://huggingface.co/OpenSML/OpenSML-JSONLite-175M/blob/main/TECHNICAL_REPORT.md) for the full provenance, protocol and limitations.