feat: sequence check validator #1

kjnasdfkjnsadfkjnds · 2025-12-03T15:25:37Z

Essential Elements of an Effective PR Description Checklist

The purpose of the PR
The test plan
The test results
(Optional) Documentation updates

PLEASE FILL IN THE PR DESCRIPTION HERE ENSURING ALL CHECKLIST ITEMS ABOVE HAVE BEEN CONSIDERED.

Purpose

This PR introduces two core validation mechanisms for decentralized inference security according to this proposal - https://github.com/gonka-ai/gonka/blob/main/proposals/inference-validation/inference-validation.md

1. Stage 1 Sequence Check

Implements deterministic verification that each generated token in a submitted sequence appears in the corresponding top-k tokens returned in the inference artifact. This ensures executers cannot pre-generate sequences with a cheaper model and later compute probabilities with a different (claimed) model.

Sequence check logic:

Extract run_seed and top-k tokens from the inference response.
Align generated tokens with the top-k lists using the shared seed.
Validate that every generated token is included in its respective top-k list.
Fail validation if any mismatch occurs.

This closes the primary pre-fill attack vector for Stage 1.

2. Distribution Check with Live vLLM Inference

Test Plan

Execution environment was validated on both local and server GPUs to ensure consistent results:

Local GPU:

NVIDIA GeForce RTX 4060 Ti

Server GPU:

NVIDIA GeForce RTX 4070

Both environments successfully executed the vLLM-based distribution check.

cd decentralized-api
go test -v ./internal/validation/

Tests cover:

Sequence check (valid, invalid, tampered, seed mismatch, length mismatch)
Sequence check on real vLLM data
Distribution check with local vLLM startup and live inference

Test Results

Sequence Check Tests

All sequence check tests pass:

❯ go test -v ./internal/validation 
=== RUN   TestValidation
    validation_test.go:52: Validation result: &{{1 []} 1}
--- PASS: TestValidation (0.00s)
=== RUN   TestValidationQuant
    validation_test.go:72: Validation result: &{{1 []} 0.9668894246685018}
--- PASS: TestValidationQuant (0.00s)
=== RUN   TestSequenceCheckValidTokensInTopK
--- PASS: TestSequenceCheckValidTokensInTopK (0.00s)
=== RUN   TestSequenceCheckInvalidTokenNotInTopK
--- PASS: TestSequenceCheckInvalidTokenNotInTopK (0.00s)
=== RUN   TestSequenceCheckEmptySeed
--- PASS: TestSequenceCheckEmptySeed (0.00s)
=== RUN   TestSequenceCheckLengthMismatch
--- PASS: TestSequenceCheckLengthMismatch (0.00s)
=== RUN   TestSequenceCheckRealData1
    validation_test.go:200: Sequence check passed for 20 tokens
--- PASS: TestSequenceCheckRealData1 (0.00s)
=== RUN   TestSequenceCheckRealData2
    validation_test.go:241: Sequence check passed for 25 tokens
--- PASS: TestSequenceCheckRealData2 (0.00s)
=== RUN   TestSequenceCheckTamperedToken
--- PASS: TestSequenceCheckTamperedToken (0.00s)
=== RUN   TestSequenceCheckWrongSeed
--- PASS: TestSequenceCheckWrongSeed (0.00s)
=== RUN   TestDistributionCheckWithVLLM
    validation_test.go:329: Skipping vLLM distribution check test since it requires vLLM server
--- SKIP: TestDistributionCheckWithVLLM (0.00s)
PASS
ok  	decentralized-api/internal/validation	0.049s

Distribution Check Tests (Using Live vLLM)

=== RUN   TestDistributionCheckWithVLLM
    validation_test.go:367: Testing distribution check with model: facebook/opt-125m
    validation_test.go:368: vLLM URL: http://localhost:8080
    validation_test.go:378: Running first inference...
2025/12/10 10:27:44 INFO Setting up vLLM for model subsystem=Validation model=facebook/opt-125m dtype=auto additional_args="[--max-model-len 2048 --gpu-memory-utilization 0.5 --chat-template \"<|im_start|>{{ role }}\\n{{ content }}<|im_end|>\"]"
2025/12/10 10:27:44 INFO Model set successfully subsystem=Validation model=facebook/opt-125m
2025/12/10 10:29:02 INFO vLLM started successfully subsystem=Validation message="vLLM started successfully"
2025/12/10 10:29:04 INFO vLLM is ready subsystem=Validation model=facebook/opt-125m
    validation_test.go:384: First inference completed with status: completed
    validation_test.go:387: DEBUG: logits1=map[choices:[map[finish_reason:length index:0 logprobs:map[content:[map[bytes:[92] logprob:-0.02168002724647522 token:\ top_logprobs:[map[bytes:[92] logprob:-0.02168002724647522 token:\] map[bytes:[10] logprob:-4.131054878234863 token:
        ] map[bytes:[124] logprob:-5.990429878234863 token:|]]] map[bytes:[110] logprob:-7.390948667307384e-06 token:n top_logprobs:[map[bytes:[110] logprob:-7.390948667307384e-06 token:n] map[bytes:[117] logprob:-12.875007629394531 token:u] map[bytes:[114] logprob:-13.046882629394531 token:r]]] map[bytes:[60] logprob:-0.005468409974128008 token:< top_logprobs:[map[bytes:[60] logprob:-0.005468409974128008 token:<] map[bytes:[10] logprob:-5.989843368530273 token:
        ] map[bytes:[60 47] logprob:-6.630468368530273 token:</]]] map[bytes:[124] logprob:-0.0014393694000318646 token:| top_logprobs:[map[bytes:[124] logprob:-0.0014393694000318646 token:|] map[bytes:[33] logprob:-7.173314571380615 token:!] map[bytes:[118] logprob:-8.204564094543457 token:v]]] map[bytes:[105 109] logprob:-0.00021324267436284572 token:im top_logprobs:[map[bytes:[105 109] logprob:-0.00021324267436284572 token:im] map[bytes:[109] logprob:-9.343963623046875 token:m] map[bytes:[73 77] logprob:-10.297088623046875 token:IM]]] map[bytes:[95] logprob:-9.536738616588991e-07 token:_ top_logprobs:[map[bytes:[95] logprob:-9.536738616588991e-07 token:_] map[bytes:[45] logprob:-14.015625953674316 token:-] map[bytes:[105 109] logprob:-17.328125 token:im]]] map[bytes:[101 110 100] logprob:-0.11217606067657471 token:end top_logprobs:[map[bytes:[101 110 100] logprob:-0.11217606067657471 token:end] map[bytes:[115 116 97 114 116] logprob:-2.377800941467285 token:start] map[bytes:[98 101 103 105 110] logprob:-4.955925941467285 token:begin]]] map[bytes:[124] logprob:-0.0005323661607690156 token:| top_logprobs:[map[bytes:[124] logprob:-0.0005323661607690156 token:|] map[bytes:[10] logprob:-8.203657150268555 token:
        ] map[bytes:[43] logprob:-9.625532150268555 token:+]]] map[bytes:[62] logprob:-0.0002693767019081861 token:> top_logprobs:[map[bytes:[62] logprob:-0.0002693767019081861 token:>] map[bytes:[124] logprob:-9.406518936157227 token:|] map[bytes:[10] logprob:-9.484643936157227 token:
        ]]] map[bytes:[92] logprob:-0.0018736441852524877 token:\ top_logprobs:[map[bytes:[92] logprob:-0.0018736441852524877 token:\] map[bytes:[10] logprob:-6.53312349319458 token:
        ] map[bytes:[124] logprob:-9.048748970031738 token:|]]] map[bytes:[110] logprob:-9.536738616588991e-07 token:n top_logprobs:[map[bytes:[110] logprob:-9.536738616588991e-07 token:n] map[bytes:[114] logprob:-14.953125953674316 token:r] map[bytes:[117] logprob:-15.312500953674316 token:u]]] map[bytes:[60] logprob:-0.0015754204941913486 token:< top_logprobs:[map[bytes:[60] logprob:-0.0015754204941913486 token:<] map[bytes:[60 47] logprob:-7.282825469970703 token:</] map[bytes:[10] logprob:-7.532825469970703 token:
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        ] map[bytes:[32 92] logprob:-11.031665802001953 token: \]]] map[bytes:[110] logprob:-7.152555099310121e-07 token:n top_logprobs:[map[bytes:[110] logprob:-7.152555099310121e-07 token:n] map[bytes:[114] logprob:-15.062500953674316 token:r] map[bytes:[117] logprob:-15.531250953674316 token:u]]] map[bytes:[60] logprob:-0.0008304246584884822 token:< top_logprobs:[map[bytes:[60] logprob:-0.0008304246584884822 token:<] map[bytes:[60 47] logprob:-7.76645565032959 token:</] map[bytes:[10] logprob:-8.51645565032959 token:
        ]]] map[bytes:[124] logprob:-0.0001411338453181088 token:| top_logprobs:[map[bytes:[124] logprob:-0.0001411338453181088 token:|] map[bytes:[33] logprob:-9.765766143798828 token:!] map[bytes:[118] logprob:-9.781391143798828 token:v]]] map[bytes:[105 109] logprob:-1.966933996300213e-05 token:im top_logprobs:[map[bytes:[105 109] logprob:-1.966933996300213e-05 token:im] map[bytes:[73 77] logprob:-11.984395027160645 token:IM] map[bytes:[109] logprob:-12.078145027160645 token:m]]] map[bytes:[95] logprob:-2.3841855067985307e-07 token:_ top_logprobs:[map[bytes:[95] logprob:-2.3841855067985307e-07 token:_] map[bytes:[45] logprob:-15.125 token:-] map[bytes:[95 123] logprob:-19.203125 token:_{]]] map[bytes:[101 110 100] logprob:-0.002434982219710946 token:end top_logprobs:[map[bytes:[101 110 100] logprob:-0.002434982219710946 token:end] map[bytes:[115 116 97 114 116] logprob:-6.127435207366943 token:start] map[bytes:[98 101 103 105 110] logprob:-8.377434730529785 token:begin]]] map[bytes:[124] logprob:-5.722029527532868e-06 token:| top_logprobs:[map[bytes:[124] logprob:-5.722029527532868e-06 token:|] map[bytes:[10] logprob:-13.046880722045898 token:
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        ]]] map[bytes:[60] logprob:-8.77341881277971e-05 token:< top_logprobs:[map[bytes:[60] logprob:-8.77341881277971e-05 token:<] map[bytes:[60 47] logprob:-9.70321273803711 token:</] map[bytes:[10] logprob:-11.23446273803711 token:
        ]]] map[bytes:[124] logprob:-1.1801649634435307e-05 token:| top_logprobs:[map[bytes:[124] logprob:-1.1801649634435307e-05 token:|] map[bytes:[33] logprob:-11.953136444091797 token:!] map[bytes:[60] logprob:-12.765636444091797 token:<]]] map[bytes:[105 109] logprob:-2.622600959512056e-06 token:im top_logprobs:[map[bytes:[105 109] logprob:-2.622600959512056e-06 token:im] map[bytes:[73 77] logprob:-13.43750286102295 token:IM] map[bytes:[109] logprob:-14.40625286102295 token:m]]] map[bytes:[95] logprob:-1.1920928244535389e-07 token:_ top_logprobs:[map[bytes:[95] logprob:-1.1920928244535389e-07 token:_] map[bytes:[45] logprob:-16.0625 token:-] map[bytes:[42] logprob:-20.0625 token:*]]] map[bytes:[101 110 100] logprob:-1.311301275563892e-06 token:end top_logprobs:[map[bytes:[101 110 100] logprob:-1.311301275563892e-06 token:end] map[bytes:[115 116 97 114 116] logprob:-14.218750953674316 token:start] map[bytes:[98 101 103 105 110] logprob:-14.765625953674316 token:begin]]] map[bytes:[124] logprob:-3.576278118089249e-07 token:| top_logprobs:[map[bytes:[124] logprob:-3.576278118089249e-07 token:|] map[bytes:[10] logprob:-15.703125 token:
        ] map[bytes:[32 124] logprob:-15.71875 token: |]]] map[bytes:[62] logprob:-7.510157047363464e-06 token:> top_logprobs:[map[bytes:[62] logprob:-7.510157047363464e-06 token:>] map[bytes:[62 60] logprob:-12.421882629394531 token:><] map[bytes:[62 62] logprob:-13.328132629394531 token:>>]]] map[bytes:[92] logprob:-1.3112935448589269e-05 token:\ top_logprobs:[map[bytes:[92] logprob:-1.3112935448589269e-05 token:\] map[bytes:[10] logprob:-11.42188835144043 token:
        ] map[bytes:[62] logprob:-14.42188835144043 token:>]]] map[bytes:[110] logprob:-9.536738616588991e-07 token:n top_logprobs:[map[bytes:[110] logprob:-9.536738616588991e-07 token:n] map[bytes:[117] logprob:-14.390625953674316 token:u] map[bytes:[10] logprob:-15.671875953674316 token:
        ]]] map[bytes:[60] logprob:-6.878139538457617e-05 token:< top_logprobs:[map[bytes:[60] logprob:-6.878139538457617e-05 token:<] map[bytes:[60 47] logprob:-9.921943664550781 token:</] map[bytes:[10] logprob:-11.562568664550781 token:
        ]]] map[bytes:[124] logprob:-1.0251946150674485e-05 token:| top_logprobs:[map[bytes:[124] logprob:-1.0251946150674485e-05 token:|] map[bytes:[33] logprob:-12.07813549041748 token:!] map[bytes:[60] logprob:-12.85938549041748 token:<]]] map[bytes:[105 109] logprob:-2.3841830625315197e-06 token:im top_logprobs:[map[bytes:[105 109] logprob:-2.3841830625315197e-06 token:im] map[bytes:[73 77] logprob:-13.484376907348633 token:IM] map[bytes:[109] logprob:-14.640626907348633 token:m]]] map[bytes:[95] logprob:-1.1920928244535389e-07 token:_ top_logprobs:[map[bytes:[95] logprob:-1.1920928244535389e-07 token:_] map[bytes:[45] logprob:-15.90625 token:-] map[bytes:[42] logprob:-19.984375 token:*]]] map[bytes:[101 110 100] logprob:-8.344646857949556e-07 token:end top_logprobs:[map[bytes:[101 110 100] logprob:-8.344646857949556e-07 token:end] map[bytes:[115 116 97 114 116] logprob:-14.484375953674316 token:start] map[bytes:[98 101 103 105 110] logprob:-15.062500953674316 token:begin]]] map[bytes:[124] logprob:-3.576278118089249e-07 token:| top_logprobs:[map[bytes:[124] logprob:-3.576278118089249e-07 token:|] map[bytes:[32 124] logprob:-15.6875 token: |] map[bytes:[10] logprob:-15.78125 token:
        ]]]] run_seed:c923a716b21c5a1eb9671b40771f9b74c1f4c69a559e99092f619244d40b6368] message:map[content:\n<|im_end|>\n<|im_end|>\n<|im_end|>\n<|im_end|>\n<|im_end|>\n<|im_end|>\n<|im_end|>\n<|im_end|>\n<|im_end| reasoning_content:<nil> role:assistant tool_calls:[]] stop_reason:<nil>]] created:1.765355344e+09 id:chatcmpl-67b71d2f2c884db7a54480f7d2783864 kv_transfer_params:<nil> model:facebook/opt-125m object:chat.completion prompt_logprobs:<nil> usage:map[completion_tokens:80 prompt_tokens:16 prompt_tokens_details:<nil> total_tokens:96]], err=<nil>
    validation_test.go:392: Extracted 80 tokens from first inference
    validation_test.go:394: First token: \ (logprob: -0.0217, top_logprobs: 3)
    validation_test.go:398: Running second inference with same parameters...
    validation_test.go:404: Second inference completed with status: completed
    validation_test.go:411: Extracted 80 tokens from second inference
    validation_test.go:414: Extracted 80 tokens from file response
    validation_test.go:421:
        === Comparing vLLM inference 1 vs inference 2 ===
    validation_test.go:423: Distribution comparison result: *validation.SimilarityValidationResult
    validation_test.go:426: Similarity score (vLLM 1 vs 2): 1.000000
    validation_test.go:427: Is successful (>0.99): true
    validation_test.go:436:
        === Comparing vLLM inference 1 vs file response ===
    validation_test.go:439: Similarity score (vLLM 1 vs file): 0.999404
    validation_test.go:447:
        === Comparing vLLM inference 2 vs file response ===
    validation_test.go:450: Similarity score (vLLM 2 vs file): 0.999404
    validation_test.go:459:
        First 3 tokens comparison:
    validation_test.go:461:   Position 0:
    validation_test.go:462:     vLLM 1: \ (-0.0217)
    validation_test.go:463:     vLLM 2: \ (-0.0217)
    validation_test.go:465:     File:   \ (-0.0217)
    validation_test.go:461:   Position 1:
    validation_test.go:462:     vLLM 1: n (-0.0000)
    validation_test.go:463:     vLLM 2: n (-0.0000)
    validation_test.go:465:     File:   n (-0.0000)
    validation_test.go:461:   Position 2:
    validation_test.go:462:     vLLM 1: < (-0.0055)
    validation_test.go:463:     vLLM 2: < (-0.0055)
    validation_test.go:465:     File:   < (-0.0055)
--- PASS: TestDistributionCheckWithVLLM (80.88s)
PASS

Distribution check logs confirm:

vLLM fully initializes
logits are collected
validation passes across both GPU environments

(Optional) Documentation Update

No documentation update required. The validation logic is fully internal and does not change the public API.

* actually start setting epoch id for inference_validation_details.proto * Use epoch_id for indexing InferenceValidation details * more cleanups * more cleanups * Fix test #1 * Fix test #2 * clean all usages of EpochGroupId * Delete epoch_group_id from proto definition * clean the GenesisState * Cleanup genesis params * more genesis cleanup * delete unnecessary setup * delete unnecessary setup * revive tokenomics data * revive tokenomics data, but remove from genesis! * gen protos * return skipped count * fix test * fix test * fix test

…o vllm client

feat: distribution check

strange-dv and others added 3 commits December 3, 2025 17:20

feat: sequence check validator

baaa3d8

test with real vllm responses

a8c7b7d

test with invalid seed

452a042

staaason and others added 10 commits December 10, 2025 11:49

implement basic functionality of distribution check. Bind validator t…

6e2ab82

…o vllm client

Remove large file from repository

6653073

clean up

1e50378

fix tests

09c7664

fix test data formatting

d8f90e8

stop vllm after validator inference

6a88ff0

clean up

a50c600

clean up

ce86a0e

return poetry.lock and skip faling test

ea0c2c7

Merge pull request #3 from ZpokenWeb3/feat/distribution-check

46aac77

feat: distribution check

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feat: sequence check validator #1

feat: sequence check validator #1

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kjnasdfkjnsadfkjnds commented Dec 3, 2025 •

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feat: sequence check validator #1

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kjnasdfkjnsadfkjnds commented Dec 3, 2025 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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Essential Elements of an Effective PR Description Checklist

Purpose

1. Stage 1 Sequence Check

2. Distribution Check with Live vLLM Inference

Test Plan

Test Results

Sequence Check Tests

Distribution Check Tests (Using Live vLLM)

(Optional) Documentation Update

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kjnasdfkjnsadfkjnds commented Dec 3, 2025 •

edited

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