_format stringclasses 1
value | case_id stringclasses 6
values | claim_code stringclasses 6
values | does_not_establish dict | evidence dict | missing_layer stringclasses 6
values | provenance_ref stringclasses 1
value | public_safety dict | reason_code stringclasses 6
values | synthetic bool 1
class | training_eligible bool 1
class | verdict stringclasses 1
value | visibility stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
agenttool.common-ground-atlas.analogy/0.1 | cg-a01-pairwise-not-global | pairwise_overlap_implies_global_intersection | {
"authority": true,
"consensus": true,
"consent": true,
"continuous_selection": true,
"culprit": true,
"fairness": true,
"identity_continuity": true
} | {
"feasible_points": [],
"geometry_case_ids": [
"cg-g03-pairwise-trap"
],
"kind": "case_references",
"time_family": null,
"wake_case_ids": []
} | theorem_assumption | sha256:c85a5bca7d2ef634b93a335c31f7244a8ec91e35f81522216f11bc69ac2c6be1 | {
"contains_credentials": false,
"contains_personal_data": false,
"contains_private_constraints": false,
"contains_real_participant_records": false,
"copied_agent_traces": false,
"copied_fictional_story_content": false,
"origin": "human_directed_agent_authored_synthetic"
} | dimension_two_requires_triples | true | false | unsupported_inference | public_reference |
agenttool.common-ground-atlas.analogy/0.1 | cg-a02-feasibility-not-consent-authority | modeled_intersection_implies_consent_or_authority | {
"authority": true,
"consensus": true,
"consent": true,
"continuous_selection": true,
"culprit": true,
"fairness": true,
"identity_continuity": true
} | {
"feasible_points": [],
"geometry_case_ids": [
"cg-g01-robust-room"
],
"kind": "case_references",
"time_family": null,
"wake_case_ids": []
} | consent_and_authority_evidence | sha256:c85a5bca7d2ef634b93a335c31f7244a8ec91e35f81522216f11bc69ac2c6be1 | {
"contains_credentials": false,
"contains_personal_data": false,
"contains_private_constraints": false,
"contains_real_participant_records": false,
"copied_agent_traces": false,
"copied_fictional_story_content": false,
"origin": "human_directed_agent_authored_synthetic"
} | geometry_has_no_consent_or_authority_field | true | false | unsupported_inference | public_reference |
agenttool.common-ground-atlas.analogy/0.1 | cg-a03-pointwise-not-continuous | pointwise_feasible_implies_continuous_selection | {
"authority": true,
"consensus": true,
"consent": true,
"continuous_selection": true,
"culprit": true,
"fairness": true,
"identity_continuity": true
} | {
"feasible_points": [],
"geometry_case_ids": [],
"kind": "time_varying_counterexample",
"time_family": {
"constraints": [
{
"a0": {
"denominator": "1",
"numerator": "1"
},
"a1": {
"denominator": "1",
"numerator": "0"
},
"... | continuity_assumption | sha256:c85a5bca7d2ef634b93a335c31f7244a8ec91e35f81522216f11bc69ac2c6be1 | {
"contains_credentials": false,
"contains_personal_data": false,
"contains_private_constraints": false,
"contains_real_participant_records": false,
"copied_agent_traces": false,
"copied_fictional_story_content": false,
"origin": "human_directed_agent_authored_synthetic"
} | aggregate_map_lacks_lower_semicontinuity | true | false | unsupported_inference | public_reference |
agenttool.common-ground-atlas.analogy/0.1 | cg-a04-feasible-not-fair | feasible_point_is_a_fair_choice | {
"authority": true,
"consensus": true,
"consent": true,
"continuous_selection": true,
"culprit": true,
"fairness": true,
"identity_continuity": true
} | {
"feasible_points": [
{
"x": {
"denominator": "1",
"numerator": "1"
},
"y": {
"denominator": "1",
"numerator": "1"
}
},
{
"x": {
"denominator": "1",
"numerator": "2"
},
"y": {
"denominator": "1",
"nu... | normative_choice_rule | sha256:c85a5bca7d2ef634b93a335c31f7244a8ec91e35f81522216f11bc69ac2c6be1 | {
"contains_credentials": false,
"contains_personal_data": false,
"contains_private_constraints": false,
"contains_real_participant_records": false,
"copied_agent_traces": false,
"copied_fictional_story_content": false,
"origin": "human_directed_agent_authored_synthetic"
} | multiple_feasible_points_no_selection_rule | true | false | unsupported_inference | public_reference |
agenttool.common-ground-atlas.analogy/0.1 | cg-a05-expiry-not-release | expiry_implies_release_acceptance_or_compatibility | {
"authority": true,
"consensus": true,
"consent": true,
"continuous_selection": true,
"culprit": true,
"fairness": true,
"identity_continuity": true
} | {
"feasible_points": [],
"geometry_case_ids": [],
"kind": "case_references",
"time_family": null,
"wake_case_ids": [
"cg-w02-expired-unknown"
]
} | current_evidence | sha256:c85a5bca7d2ef634b93a335c31f7244a8ec91e35f81522216f11bc69ac2c6be1 | {
"contains_credentials": false,
"contains_personal_data": false,
"contains_private_constraints": false,
"contains_real_participant_records": false,
"copied_agent_traces": false,
"copied_fictional_story_content": false,
"origin": "human_directed_agent_authored_synthetic"
} | expiry_means_unknown | true | false | unsupported_inference | public_reference |
agenttool.common-ground-atlas.analogy/0.1 | cg-a06-conflict-not-culprit | minimal_conflict_identifies_a_culprit | {
"authority": true,
"consensus": true,
"consent": true,
"continuous_selection": true,
"culprit": true,
"fairness": true,
"identity_continuity": true
} | {
"feasible_points": [],
"geometry_case_ids": [
"cg-g03-pairwise-trap"
],
"kind": "case_references",
"time_family": null,
"wake_case_ids": []
} | participant_attribution | sha256:c85a5bca7d2ef634b93a335c31f7244a8ec91e35f81522216f11bc69ac2c6be1 | {
"contains_credentials": false,
"contains_personal_data": false,
"contains_private_constraints": false,
"contains_real_participant_records": false,
"copied_agent_traces": false,
"copied_fictional_story_content": false,
"origin": "human_directed_agent_authored_synthetic"
} | certificate_names_constraints_not_beings | true | false | unsupported_inference | public_reference |
AgentTool Xenia–Helly Common Ground Atlas
Nineteen public-safe synthetic reference rows for exact 2D half-plane
certificates, WAKE freshness boundaries, and counterexamples to unsupported
analogies. Intended repository: Yu-and-Ai/agenttool-common-ground.
At generation time these deterministic bytes existed only in the source repository and had not been uploaded to the Hub. The identifier above was an intention, not evidence of publication. This is historical generation-time provenance, not a claim about distribution after the bytes leave source.
Every row is training_eligible: false. That is AgentTool admission metadata,
not an added copyright restriction; Apache-2.0 governs licensed reuse. The
split names do not change either statement. There is no SFT, preference,
reward, DPO, sealed-evaluation, personal-data, private-constraint,
real-participant, credential, trace, or fictional-story lane.
The exact geometry config separates rational theorem status from the shipped
teaching lab's bounded binary64 evidence outcome. A feasible rational family
may therefore carry an honest insufficient_evidence lab result. Feasible
points, Farkas contradictions, deletion witnesses, robustness radii,
knife-edge rigidity, underflow, and nonconvexity examples are independently
checkable from string-encoded exact rationals.
The Atlas does not establish consensus, consent, fairness, authority, identity continuity, continuous selection, or a culprit. Expiry and withdrawal mean the prior evidence cannot be reused; they do not mean acceptance, release, compatibility, or permission.
Run the dependency-free public verifier:
python3 -I verification/verify.py .
The verifier checks closed row shapes, canonical rationals, IEEE-754 bindings,
all exact certificates, WAKE timestamp derivations, analogy evidence, row
bindings, and the complete manifest of repository-owned files. It permits only
the Hub's root .gitattributes plus local .git/ and
.cache/huggingface/ checkout metadata outside that inventory. These visible
rows are public regression/reference material, not contamination-resistant
evaluation.
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