feat: publish authentic learned-z engineering bundle

Verified four-component Stage D bundle with Stage C pivot and Stage D null evidence. Engineering-only; no base weights or model code.

CHECKSUMS.sha256

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README.md

@@ -4,57 +4,74 @@ tags:
 - physics
 - world-model
 - research
+- safetensors
 ---
 
-# JUMP hidden-relation dynamics smoke
+# JUMP observation-only learned-z engineering bundle
 
-This public artifact contains the single learned scale from a one-step Track H infrastructure smoke. The model multiplies an analytic pairwise-force basis by a learned scalar. The basis uses relative 2D geometry, the known same/different hidden relation, the categorical force law, and its exponent. This is not a Gemma adapter, a general world model, or evidence for a mechanistic claim.
+This repository contains the four verified components of the current Track H engineering pipeline: an observation-only encoder, a learned future-state decoder, a latent-to-Gemma projector, and a scalar injection gate. The frozen Gemma base model is referenced but is not redistributed here.
 
-## Result
+## Result status
 
-One H100 optimization step on two training worlds produced held-out force NRMSE 0.9444 on two test worlds, compared with 1.0 for a zero-force persistence baseline (5.56% relative improvement). The run is below the preregistered G2 direction of at least 20% improvement across three seeds. It passed only the one-step execution and artifact gates.
+This is an **engineering artifact, not scientific evidence of a useful or causal latent representation**.
 
-The runner recorded 7.49344 seconds wall duration and 0.230006 seconds inside CUDA training. The pinned-rate ledger estimate was USD 0.0082203; this is not a Modal invoice. Peak PyTorch allocated memory was approximately 7 KiB because the checkpoint has one trainable scalar.
+- Stage C completed three seeds and was a **pivot**: the learned predictor did not beat persistence under the preregistered gates. G2, G3, and mechanistic-evidence flags are false.
+- Stage D completed the non-textual injection and six-arm control pipeline. The structured answer for `own_z` matched `no_z`, and donor swaps produced zero movement toward donor answers. `informative_z`, behavioral, causal, and mechanistic claims are false.
+- The learned-decoder SVGs are predictions computed from the same serialized 16-dimensional z used by the injection path. They are not ground-truth renderings.
 
-## Files
+The small validation and control sets do not support benchmark law-accuracy claims.
 
-- `model.safetensors`: JUMP-produced weight only; SHA-256 `6702724b6dc658764146a270a45e4eaa9110f92303757069a9b0ef0187d6e967`.
-- `config.json`: architecture and feature contract.
-- `training-manifest.json`, `run-result.json`, `phase-result.json`: immutable execution inputs and results.
-- `runner-hashes.sha256`, `SHA256SUMS`: runner and publication checksums.
-- `DATASET.md`, `training.json`, `environment.json`, `requirements.lock`: generator, metrics, and runtime record.
-- `references.json`: source revision and the pinned Gemma target that was **not** used to train this checkpoint. No tokenizer files or Gemma weights are included.
+## Components
 
-Optimizer state, caches, credentials, and raw execution logs are intentionally excluded.
+`components.json` is the machine-readable `jump.world-model-components/v1` manifest. Verify it and every component checksum before loading.
 
-## Intended use
+| Role | Files | Description |
+|---|---|---|
+| encoder | `encoder/model.safetensors`, `encoder/config.json` | observation-only MLP, 96 → 64 → 16 |
+| decoder | `decoder/model.safetensors`, `decoder/config.json` | learned same-z future-state MLP, 16 → 64 → 12 |
+| future_projector | `future_projector/model.safetensors`, `future_projector/config.json` | BF16 linear projector, weight shape `[3840, 16]` |
+| gemma_adapter | `gemma_adapter/adapter_model.safetensors`, `gemma_adapter/adapter_config.json` | BF16 scalar tanh gate only |
 
-Use this artifact to verify loading, provenance, and the deterministic Track H training path. It may also initialize reproduction of the exact one-step smoke. Do not use it as a scientific result, a force-law discovery model, or a component for real-world scientific, medical, or safety decisions.
+The gate artifact is **not LoRA and not a PEFT adapter**. No Gemma base weights, optimizer state, cache, or executable model code are included. `auto_map` is not used.
 
-## Reproduction
+## Exact external dependencies
 
-```bash
-git clone https://github.com/perfect7613/jump-research.git
-cd jump-research
-git checkout bb35da1ea280c985f2b438a4e3f97962c08050d7
-python -m pip install -e '.[test]'
-pytest -q
-# Inspect the fixed H100 entrypoint and manifest before any paid run.
-modal deploy -m jump_runner.modal_app::app
-```
+- Base: `google/gemma-4-12B-it@707f0a3b8a3c7ad586ed01e27eafbad8a27dd0f7`
+- Transformers source: `918dbf131d0df5b46e3f6e1d96174d62aa4d16d6`
+- Stage D component manifest: `04f4b4ea6c7f4e6d517cd5a27925ed948bcde1d5d744f84edcf1ee8cdbe890bb`
+- Stage D checkpoint: `stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071`
+
+Access to the external Gemma checkpoint may require accepting its separate terms. The Hub metadata for that checkpoint and the linked Gemma terms govern the base model. This repository makes no claim that those terms are replaced by the status of these JUMP-produced component files.
 
-A paid rerun requires the repository safety checks and explicit authorization. The checked-in CPU and T4 manifests can be validated without launching a full matrix.
+## Verify before loading
 
-## Limitations
+Pin an immutable revision when downloading:
 
-The checkpoint has one scalar parameter, one optimization step, one root seed, four worlds, and no uncertainty interval. The analytic input basis supplies the hidden relation and force-law structure, so the result does not show that a model inferred either structure. The run does not test A/B/C/C-prime language-model behavior, latent injection, OOD transfer, replication, or mediation.
+```python
+from huggingface_hub import snapshot_download
+from pathlib import Path
+from jump_contracts.distribution import (
+    validate_world_model_component_manifest,
+    verify_world_model_component_files,
+)
+import json
+
+root = Path(snapshot_download(
+    "Perfect7613/jump-world-model",
+    revision="<PINNED_COMMIT_SHA>",
+))
+manifest = validate_world_model_component_manifest(
+    json.loads((root / "components.json").read_text())
+)
+verify_world_model_component_files(root, manifest)
+```
 
-## License and attribution
+For artifact-only inspection, only the encoder and decoder are needed. Gated-Gemma loading additionally requires authorized access to the exact base revision. Instantiate model classes from the JUMP source package; this repository deliberately contains no remote Python implementation.
 
-The source repository currently has no selected license; its README states that all rights are reserved pending licensing decisions. This model repository therefore grants no additional reuse license. The artifact contains no Gemma weights or tokenizer files. `references.json` records the separately licensed Gemma checkpoint considered for later adapter work. Review the source repository and any future base-model terms before reuse or redistribution.
+## Provenance and limitations
 
-## Three-seed pilot update
+`STATUS.json` contains the fail-closed claim guards. `evidence/stage-c/` records the three-seed pivot. `evidence/stage-d/` records the exact six-arm matrices, tensor bindings, learned-decoder images, promoted task/run evidence, and checksums. `CHECKSUMS.sha256` covers this distribution snapshot except itself.
 
-A subsequent fixed H100 pilot ran 120 optimization steps independently at seeds 7613, 7614, and 7615, using eight train and four held-out test worlds per seed. Held-out force NRMSE values were 0.0000994703, 0.0000994727, and 0.0000994612. The mean was 0.0000994680 with sample standard deviation 0.0000000060; all three correspond to about 99.9901% improvement over the zero-force baseline. With only three deterministic seeds, this dispersion is descriptive and is not a confidence interval.
+The generator is synthetic, the current predictive task did not outperform persistence, and the Stage D intervention produced a null answer shift. Do not use this bundle as evidence that z represents hidden laws or causally controls Gemma. A future model must first beat persistence on a leakage-resistant held-out task before efficacy claims are reconsidered.
 
-The >=20% NRMSE-improvement direction passed for all three seeds. Full G2 did **not** pass because this pilot did not measure hidden-relation probe AUC or its confidence bound, and the analytic input basis supplies the hidden relation and force-law structure. The result remains Track H engineering evidence only. `pilot/verification.json` binds every model, dataset, and checkpoint hash after checking the runner checksum manifests. Optimizer checkpoints remain on the private Modal Volume and are not uploaded.
+`legacy/scalar-baseline/` preserves the earlier scalar dynamics smoke and is excluded from the canonical component manifest.

STATUS.json

@@ -0,0 +1 @@
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components.json

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decoder/config.json

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decoder/model.safetensors

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encoder/config.json

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encoder/model.safetensors

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evidence/stage-c/aggregate-terminal.json

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evidence/stage-c/artifact_hashes.json

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evidence/stage-c/attempt-0001/artifact_hashes.json

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evidence/stage-c/attempt-0001/hashes.sha256

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+11d98b4fafd3ac58ecccc9cf720aee1fb2b639101e5f5eeeb46397901e17441f  artifacts/SHA256SUMS.json
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evidence/stage-c/seed-99174/seed-terminal.json

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evidence/stage-c/seed-99174/swap-results.json

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evidence/stage-c/seed-99175/seed-terminal.json

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evidence/stage-c/seed-99175/swap-results.json

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evidence/stage-d/artifact_hashes.json

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evidence/stage-d/attempt-0001/started.json

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evidence/stage-d/attempt-0001/task-parameters.json

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evidence/stage-d/config.json

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evidence/stage-d/control-matrices.json

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evidence/stage-d/controls/pair-00/controls/no_z.json

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evidence/stage-d/controls/pair-00/controls/own_z.json

@@ -0,0 +1 @@
+{"payload":{"answer":{"adequate":true,"partition":[0,1,1,1,1,1],"replacement_law":{"different":"attract","exponent":1,"same":"attract"}},"answer_sha256":"6e4c858e1766b91a904f3d444c5452fee9ab7e22079d07925970fc523dd8805f","arm_id":"own_z","checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","control_kind":"own_z","execution_contract_sha256":"5c4655a46b2ce7d868eb8727471e282a904ffd9b15762f45e2e4804c943d9a67","injection":{"dtype":"float32-le","learned_latent_envelope_sha256":"fcdb696e4495c14027f494394558a671e9c184b18c1421849fb5ae37b2919b8e","order":"C","permutation":null,"present":true,"raw_bytes_sha256":"ec2102075792f53557563385d52e3599a426cd57a9e905f8c6e03db7542369a5","shape":[16],"tensor_artifact_name":"stage-d-0-own-world-latent.f32le.bin","world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015"},"manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","pair_id":"6f6179f994547270e791","recipient_world_id":"1c8410ed45b28341bf7e","schema_version":"jump.track-h-stage-d-control/v1","source_world_id":"1c8410ed45b28341bf7e"},"payload_sha256":"94e611bb04d7f6ad82a30fe7fd5a6d35bb31f0e4cead6a0f0476da904b19416b","provenance":{"checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","code_version":"e6861eb2bc0665852a084ac3eacc0152fd24cfdd","manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","run_id":"stage-d-0-own_z"},"schema_version":"jump.sealed-result/v1","source":"live"}

evidence/stage-d/controls/pair-00/controls/scrambled_z.json

@@ -0,0 +1 @@
+{"payload":{"answer":{"adequate":true,"partition":[0,1,1,1,1,1],"replacement_law":{"different":"attract","exponent":1,"same":"attract"}},"answer_sha256":"6e4c858e1766b91a904f3d444c5452fee9ab7e22079d07925970fc523dd8805f","arm_id":"scrambled_z","checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","control_kind":"scrambled_z","execution_contract_sha256":"5c4655a46b2ce7d868eb8727471e282a904ffd9b15762f45e2e4804c943d9a67","injection":{"dtype":"float32-le","learned_latent_envelope_sha256":"fcdb696e4495c14027f494394558a671e9c184b18c1421849fb5ae37b2919b8e","order":"C","permutation":{"indices":[9,13,11,14,8,1,6,5,2,10,0,15,7,4,12,3],"indices_sha256":"1a00d3060e6380c4f5f358201c6dad7837f3b1a1aa7a096ccd3a6148862adc60","permuted_world_latent_sha256":"7a2cc82185fc3cc72b124c7f96fa56c9e2a838c341d15174a73025e1a7013d82","schema_version":"jump.latent-byte-permutation/v1","seed":762008292,"source_world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","unit":"float32_element"},"present":true,"raw_bytes_sha256":"3d3ed60f0adffa182337af54bf10d400e3472a351975a96509971364d6716a3f","shape":[16],"tensor_artifact_name":"stage-d-0-scrambled-world-latent.f32le.bin","world_latent_sha256":"7a2cc82185fc3cc72b124c7f96fa56c9e2a838c341d15174a73025e1a7013d82"},"manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","pair_id":"6f6179f994547270e791","recipient_world_id":"1c8410ed45b28341bf7e","schema_version":"jump.track-h-stage-d-control/v1","source_world_id":"1c8410ed45b28341bf7e"},"payload_sha256":"c637e6a70cee52df5eebff2867991cd83e300ad52850e98efac5a9b80836a685","provenance":{"checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","code_version":"e6861eb2bc0665852a084ac3eacc0152fd24cfdd","manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","run_id":"stage-d-0-scrambled_z"},"schema_version":"jump.sealed-result/v1","source":"live"}

evidence/stage-d/controls/pair-00/controls/swap_a_to_b.json

@@ -0,0 +1 @@
+{"payload":{"answer":{"adequate":true,"partition":[0,1,1,1,1,1],"replacement_law":{"different":"attract","exponent":1,"same":"attract"}},"answer_sha256":"6e4c858e1766b91a904f3d444c5452fee9ab7e22079d07925970fc523dd8805f","arm_id":"swap_a_to_b","checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","control_kind":"swap_a_to_b","execution_contract_sha256":"5c4655a46b2ce7d868eb8727471e282a904ffd9b15762f45e2e4804c943d9a67","injection":{"dtype":"float32-le","learned_latent_envelope_sha256":"ec35328631d5299908d05576ddb829e96c6ac2c56240bc761b48ca3aac077e2c","order":"C","permutation":null,"present":true,"raw_bytes_sha256":"ec2102075792f53557563385d52e3599a426cd57a9e905f8c6e03db7542369a5","shape":[16],"tensor_artifact_name":"stage-d-0-a-to-b-world-latent.f32le.bin","world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015"},"manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","pair_id":"6f6179f994547270e791","recipient_world_id":"b2855654bf179752b614","schema_version":"jump.track-h-stage-d-control/v1","source_world_id":"1c8410ed45b28341bf7e"},"payload_sha256":"6ae0a419dea8b306aa85cbfe459fd06d9fb20eff456299d385691b84b089bad7","provenance":{"checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","code_version":"e6861eb2bc0665852a084ac3eacc0152fd24cfdd","manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","run_id":"stage-d-0-swap_a_to_b"},"schema_version":"jump.sealed-result/v1","source":"live"}

evidence/stage-d/controls/pair-00/controls/swap_b_to_a.json

@@ -0,0 +1 @@
+{"payload":{"answer":{"adequate":true,"partition":[0,1,1,1,1,1],"replacement_law":{"different":"attract","exponent":1,"same":"attract"}},"answer_sha256":"6e4c858e1766b91a904f3d444c5452fee9ab7e22079d07925970fc523dd8805f","arm_id":"swap_b_to_a","checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","control_kind":"swap_b_to_a","execution_contract_sha256":"5c4655a46b2ce7d868eb8727471e282a904ffd9b15762f45e2e4804c943d9a67","injection":{"dtype":"float32-le","learned_latent_envelope_sha256":"c877de1420d90194997126de7610b5deb4c08040a539beb9d971ef4b7796f618","order":"C","permutation":null,"present":true,"raw_bytes_sha256":"2167526cd585c665ba376dee4e56dcdf52b062e3669740381f9a5839496c2616","shape":[16],"tensor_artifact_name":"stage-d-0-b-to-a-world-latent.f32le.bin","world_latent_sha256":"c03f71fbfbe39493dce806eb9b0e734e392ae3eaceda370fa998930e6a2abc7d"},"manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","pair_id":"6f6179f994547270e791","recipient_world_id":"1c8410ed45b28341bf7e","schema_version":"jump.track-h-stage-d-control/v1","source_world_id":"b2855654bf179752b614"},"payload_sha256":"34ef6d7b0cdfd986e0ecbe8e981e43ea255bf93d999784c136f5f520d6568629","provenance":{"checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","code_version":"e6861eb2bc0665852a084ac3eacc0152fd24cfdd","manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","run_id":"stage-d-0-swap_b_to_a"},"schema_version":"jump.sealed-result/v1","source":"live"}

evidence/stage-d/controls/pair-00/controls/wrong_world_z.json

@@ -0,0 +1 @@
+{"payload":{"answer":{"adequate":true,"partition":[0,1,1,1,1,1],"replacement_law":{"different":"attract","exponent":1,"same":"attract"}},"answer_sha256":"6e4c858e1766b91a904f3d444c5452fee9ab7e22079d07925970fc523dd8805f","arm_id":"wrong_world_z","checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","control_kind":"wrong_world_z","execution_contract_sha256":"5c4655a46b2ce7d868eb8727471e282a904ffd9b15762f45e2e4804c943d9a67","injection":{"dtype":"float32-le","learned_latent_envelope_sha256":"cbdeabf4ce0d2e86f667c98a4065378734baabf8e03aedc852ceafb00f7dd77b","order":"C","permutation":null,"present":true,"raw_bytes_sha256":"858a7ae643e14072958b89436dd8133cdbd30780439235a00d2d262aeb46395f","shape":[16],"tensor_artifact_name":"stage-d-0-wrong-world-latent.f32le.bin","world_latent_sha256":"40942b97fd0df2ae29436c6f20a5c873cd5bb458f33960c2d3c4776b34e7bb2d"},"manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","pair_id":"6f6179f994547270e791","recipient_world_id":"1c8410ed45b28341bf7e","schema_version":"jump.track-h-stage-d-control/v1","source_world_id":"f5b725373bc7faeef31b"},"payload_sha256":"744fda0b90925212fdc61e0cfb67a58466b945ceb4314ae3e34efe17ee9d811e","provenance":{"checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","code_version":"e6861eb2bc0665852a084ac3eacc0152fd24cfdd","manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","run_id":"stage-d-0-wrong_world_z"},"schema_version":"jump.sealed-result/v1","source":"live"}

evidence/stage-d/controls/pair-00/learned/own_z.json

@@ -0,0 +1 @@
+{"payload":{"answer":{"producer_bindings":{"encoder_architecture":"observation-only-mlp-96-64-16","encoder_artifact_sha256":"8d57a3106f70783c4617a1d80a39e02ee3d248b4e32f9e3d33bf7e379b583969","encoder_training_manifest_sha256":"17f0118898ff37f5debb915921480d055fc850e76f5a0c5045a8e673c2097e94","source_observation_sha256":"517c7ec424764fde515deac0add2f7728876bc58242e22254911d536786881b9"},"structured_answer":{"adequate":true,"partition":[0,1,1,1,1,1],"replacement_law":{"different":"attract","exponent":1,"same":"attract"}}},"answer_binding":{"answer_sha256":"17c417020ecd004fa70c057581e7ccde7f875ac9a464d406b8f8a04af0d4bae4","injection_input_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015"},"decoded_observation":{"decoder_artifact_sha256":"1fc74e4a0934f31452e44bca5d1665a0558d7289dbca894fa5989c7c5619453f","image_sha256":"905b384178ece9981e81ee9874354f6455b2011a76ca9abeeed1db9d0ee0f283","media_type":"image/svg+xml","origin":"learned_decoder_output","world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015"},"encoder_input":{"artifact_name":"stage-d-0-own-encoder-observation.f32le.bin","ground_truth_fields_present":false,"kind":"observation_only","media_type":"application/octet-stream","observation_sha256":"517c7ec424764fde515deac0add2f7728876bc58242e22254911d536786881b9"},"learned_decoder":{"architecture":"same-z-16d-to-six-object-next-position-v1","artifact_name":"decoder/model.safetensors","artifact_sha256":"1fc74e4a0934f31452e44bca5d1665a0558d7289dbca894fa5989c7c5619453f","code_version":"d910b736e80b4d6717def84a6f4f99de3567f19e","training_manifest_sha256":"17f0118898ff37f5debb915921480d055fc850e76f5a0c5045a8e673c2097e94"},"schema_version":"jump.learned-latent-evidence/v1","swap_lineage":{"direction":"own","donor_world_id":null,"mode":"own","recipient_world_id":"1c8410ed45b28341bf7e","source_world_id":"1c8410ed45b28341bf7e","world_pair_id":"6f6179f994547270e791"},"tensor":{"artifact_name":"stage-d-0-own-world-latent.f32le.bin","byte_length":64,"decoder_input_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","dtype":"float32-le","encoder_output_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","injection_input_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","order":"C","preimage_schema_version":"jump.tensor-preimage/v1","raw_bytes_sha256":"ec2102075792f53557563385d52e3599a426cd57a9e905f8c6e03db7542369a5","shape":[16],"world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015"}},"payload_sha256":"eba0f284655dd233ec1e7d17bcce5071dbee5b8c62885e07b0fa4cbc6aaa9259","provenance":{"checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","code_version":"e6861eb2bc0665852a084ac3eacc0152fd24cfdd","manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","run_id":"stage-d-0-own"},"schema_version":"jump.sealed-result/v1","source":"live"}

evidence/stage-d/controls/pair-00/learned/swap_a_to_b.json

@@ -0,0 +1 @@
+{"payload":{"answer":{"producer_bindings":{"encoder_architecture":"observation-only-mlp-96-64-16","encoder_artifact_sha256":"8d57a3106f70783c4617a1d80a39e02ee3d248b4e32f9e3d33bf7e379b583969","encoder_training_manifest_sha256":"17f0118898ff37f5debb915921480d055fc850e76f5a0c5045a8e673c2097e94","source_observation_sha256":"517c7ec424764fde515deac0add2f7728876bc58242e22254911d536786881b9"},"structured_answer":{"adequate":true,"partition":[0,1,1,1,1,1],"replacement_law":{"different":"attract","exponent":1,"same":"attract"}}},"answer_binding":{"answer_sha256":"17c417020ecd004fa70c057581e7ccde7f875ac9a464d406b8f8a04af0d4bae4","injection_input_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015"},"decoded_observation":{"decoder_artifact_sha256":"1fc74e4a0934f31452e44bca5d1665a0558d7289dbca894fa5989c7c5619453f","image_sha256":"905b384178ece9981e81ee9874354f6455b2011a76ca9abeeed1db9d0ee0f283","media_type":"image/svg+xml","origin":"learned_decoder_output","world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015"},"encoder_input":{"artifact_name":"stage-d-0-a-to-b-encoder-observation.f32le.bin","ground_truth_fields_present":false,"kind":"observation_only","media_type":"application/octet-stream","observation_sha256":"517c7ec424764fde515deac0add2f7728876bc58242e22254911d536786881b9"},"learned_decoder":{"architecture":"same-z-16d-to-six-object-next-position-v1","artifact_name":"decoder/model.safetensors","artifact_sha256":"1fc74e4a0934f31452e44bca5d1665a0558d7289dbca894fa5989c7c5619453f","code_version":"d910b736e80b4d6717def84a6f4f99de3567f19e","training_manifest_sha256":"17f0118898ff37f5debb915921480d055fc850e76f5a0c5045a8e673c2097e94"},"schema_version":"jump.learned-latent-evidence/v1","swap_lineage":{"direction":"1c8410ed45b28341bf7e->b2855654bf179752b614","donor_world_id":"1c8410ed45b28341bf7e","mode":"donor_swap","recipient_world_id":"b2855654bf179752b614","source_world_id":"1c8410ed45b28341bf7e","world_pair_id":"6f6179f994547270e791"},"tensor":{"artifact_name":"stage-d-0-a-to-b-world-latent.f32le.bin","byte_length":64,"decoder_input_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","dtype":"float32-le","encoder_output_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","injection_input_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015","order":"C","preimage_schema_version":"jump.tensor-preimage/v1","raw_bytes_sha256":"ec2102075792f53557563385d52e3599a426cd57a9e905f8c6e03db7542369a5","shape":[16],"world_latent_sha256":"970880c1ff0da9298779711bbc8206eabad6d0335909c610e33bca17cff1b015"}},"payload_sha256":"d5f43ffbda35255ea47a1a46550d03e21d51dae20874ad73232c26a470d9a7ec","provenance":{"checkpoint_id":"stage-d-13c3d963b9ec7171f5d138a9e737b4b6294d542d0887dfbf9a52c2efba422071","code_version":"e6861eb2bc0665852a084ac3eacc0152fd24cfdd","manifest_sha256":"09b6a0378af6073fd858ca2f1e86537771a96525d83e6f10e2f4813b63086406","run_id":"stage-d-0-a-to-b"},"schema_version":"jump.sealed-result/v1","source":"live"}

evidence/stage-d/controls/pair-00/learned/swap_b_to_a.json

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evidence/stage-d/controls/pair-00/learned/wrong_world_z.json

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