Quipu: A Governed Bitemporal Knowledge Graph Store
- URL: http://arxiv.org/abs/2608.16813v1
- Date: Mon, 17 Aug 2026 17:04:29 GMT
- Title: Quipu: A Governed Bitemporal Knowledge Graph Store
- Abstract summary: Quipu is an embeddable knowledge store that inverts four default defaults.<n>No fact enters except through a gate whose predicates evaluate the pending post-state.<n>A trace from a governed writer surfaces a live enforcement gap the audit names with its remediation.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Agents now write knowledge graphs, but knowledge-graph stores still carry defaults set when humans curated them: accept writes now and clean later, keep one time axis or none, treat every writer's facts as equally trustworthy, and leave governance to dashboards and middleware. These four defaults are individually convenient and jointly untenable under agent workloads. We present Quipu, an embeddable store that inverts all four: no fact enters except through a gate whose predicates evaluate the pending post-state; data, trust labels, verdicts, and the rules themselves are bitemporal; named graphs are the unit of authority and trust, composed under a lattice whose one invariant is that composition never widens; and the governance specification $Σ$, the trace, and signed verdicts are facts in the store they govern, making the audit $T \models Σ$ a query. We evaluate with Census, a deterministic multi-writer lifecycle whose single seeded run scores every research question against planted ground truth: the gated store ends with 0 of 6 planted defects versus 6 of 6 ungated; all 7 composition probes uphold the lattice contract; 50 of 50 satisfied verdicts re-derive faithfully as of their instant while all 50 would be misreported under a latest-only rule set; and the SARC reference checker agrees with the in-store audit verdict-for-verdict, differing only on coverage semantics. A recorded trace from a governed writer surfaces a live enforcement gap the audit names with its remediation. On DEMM-Bench, an external decision-evidence sufficiency benchmark, a content-only reading of the exported records answers all 512 property-level governance questions correctly with zero overclaim under all eight degradation conditions, while container-presence baselines overclaim on up to 87.5% of them -- and the run surfaced, and led us to close, a gap in what a denial's verdict attests.
Related papers
- GANDR: Claim Auditing for Verifiable Legal Answer Generation [21.842813905857863]
Grounded-generation pipelines score the answer as a whole, so a correct conclusion can rest on fabricated or loosely matched citations and still score well.<n>We introduce GANDR, a two-agent system in which a Drafter writes an answer in a structured legal-reasoning format and a Critic, with the same view as a human verifier, audits each claim against its cited source.<n>On a 185-item legal benchmark, GANDR ranks first on every primary metric, reaching 70.8% strict accuracy and leading the strongest baseline by 11.3 points (p0.01)
arXiv Detail & Related papers (2026-09-09T15:08:09Z) - FinalityBench: An Effect-Level Benchmark for Agent Decisions Under Delayed and Conflicting Financial Finality [1.350933217151331]
FinalityBench is an executable benchmark for a finality-gating decision.<n> Grading is on executed monetary effects: an episode is scored by the merchant's terminal economic position.<n>A runtime gating irreversible actions on an authoritative finality probe reaches 85.4% and, unlike every polling policy, loses nothing to pass5.
arXiv Detail & Related papers (2026-09-04T04:24:10Z) - Clean Engineering, Unstable Measurement: A Preregistered Reliability Failure of Black-Box LLM Observers on Shared Endpoints [4.41537705949485]
Language-model judges now gate training data, score generations, and drive leaderboards.<n>We audited that assumption in two preregistered campaigns with every threshold fixed in advance.<n>Across 52,988 audited request attempts, same-window repeat rankings agreed at Spearman 0.400 against a required 0.90.<n>We distill the evidence into a three-level snapshot-identity ladder, eight design rules, and a reporting checklist.
arXiv Detail & Related papers (2026-09-03T17:59:43Z) - VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement [57.86962208273888]
We present an auditable physical-verification system in which a text-only planner compiles the prompt into typed physical obligations.<n>Each action returns a provenance-carrying evidence record whose payload, when usable, is either a typed measurement or an explicitly tagged learned state.<n>We anchor evaluation in a 1,500-clip corpus of human-annotated flaw records that localize real generation failures in prompt reference, space, and time.
arXiv Detail & Related papers (2026-09-02T20:36:45Z) - Reconcile Once, Write Anytime: A Trust-Tiered Librarian and a Multi-Agent Writer for Drift-Free, Point-in-Time Research [7.426963307811556]
We present a two-tier agentic system that separates a maintained, point-in-time knowledge library from report writing.<n>A portable multi-agent "writer" runtime composes a contradiction-free, evidence-grounded report at any knowledge cutoff T.<n>We evaluate on a self-collected, public corpus of 6,130 sources yielding 555,926 evidence cards.
arXiv Detail & Related papers (2026-08-13T09:09:28Z) - Governed Persistent Memory: Source-Bound State Semantics and Fail-Closed Release for Long-Horizon Agents [3.202978695204522]
Long-term agent memory is usually treated as select--store--retrieve, but retrieval does not decide whether contradictory, superseded, retracted, deleted, or stale records may support an outgoing claim.<n>We introduce Governed Persistent Memory (GPM), an auditable bitemporal state-transition model with source-bound admission, derived lifecycle state, current public barriers, and fail-closed structured release.
arXiv Detail & Related papers (2026-08-12T18:00:42Z) - Coding Agents as Test-Suite Auditors: Finding What Official Suites Miss While Approaching What They Catch [47.836680625916266]
An off-the-shelf coding agent, serving as a test-suite auditor, both builds adversarial test suites to expose what official suites miss.<n>A certification chain determines whether each agent-flagged submission is genuinely buggy without relying on the official judge.<n>On post-cutoff Codeforces problems with no available official suites, the same test-building method leads all five reproduced baselines at every tested input budget.
arXiv Detail & Related papers (2026-08-03T05:24:03Z) - When Memory Updates but Behavior Does Not: Repairing Implicit Stale Dependencies in Personalized Agent Responses [1.5770673503612611]
Memory-augmented agents can know that a user's stored state is outdated and still plan around the old value.<n>We identify one structural contributor: draft-anchored verification checks what a response says, and in an open-ended response the stale dependency is usually unsaid.
arXiv Detail & Related papers (2026-08-03T02:49:08Z) - Best Friends, Not Forever: Evaluating Long-Horizon Persona Collapse and Behavioral Drift in AI Companions [34.277389276831435]
We study two observable long-horizon failures: 'persona collapse', the loss of a deployed role, boundaries, values, or style, and 'behavioral drift'<n>We introduce ANCHOR, a controlled synthetic audit that separately measures persona enactment and trajectory recall.<n>The study contains 2,008 conversations spanning 27 personas, nine interaction schedules, three generated memory settings, and four evaluated models.
arXiv Detail & Related papers (2026-07-30T20:18:39Z) - Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair [36.56438114281786]
We study the gap between finding a correct patch and retaining, verifying, and submitting it.<n>We derive an evidence-bound typed loop contract and instantiate its mechanically enforceable subset in a reference implementation.
arXiv Detail & Related papers (2026-07-27T16:05:23Z) - Fantastic Adaptive Taxonomies and How to Use Them [100.20614173157708]
AdaMAST converts execution traces into a compact, evidence-grounded failure taxonomy.<n>No code is hand-authored, no trace human-annotated.<n>In agent-system search, taxonomy-coded diagnoses of failed candidates outperform free-form.
arXiv Detail & Related papers (2026-07-17T17:41:16Z) - Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents [33.055253684457625]
Stateful personal agents increasingly maintain long-term user profiles, episodic memories, and reusable skills.<n>We call this persistent sycophancy and introduce the Personal Agent Sycophancy Benchmark (PASB)<n>PASB traces whether a conversational claim is accepted, written into durable agent state, and reused in a later neutral query.
arXiv Detail & Related papers (2026-07-12T01:08:59Z) - Forgetting Is Not a Fix: Path Dependence in Sequential Engram Editing [35.76482964927589]
We test the hypothesis that concept-specific memory traces become linear objects that can be extracted once and combined arithmetically.<n>We run that test on the authors' own reference implementation, at their reported best edit strength.<n>For unlearning-as-compliance: erasure certified today does not certify the artifact after its next edit.
arXiv Detail & Related papers (2026-07-06T23:45:06Z) - Catching One in Five: LLM-as-Judge Blind Spots in Production Multi-Turn Transaction Agents [45.148328075418156]
We study a deployed multi-turn food-and-beverage ordering agent and measure how many genuine quality problems it catches.<n>Our blind-spot taxonomy shows the failure is structured, not random.<n>For production multi-turn agents, automated judging is a regression floor, not a substitute for human review.
arXiv Detail & Related papers (2026-06-09T02:11:01Z) - TOKI: A Bitemporal Operator Algebra for Contradiction Resolution in LLM-Agent Persistent Memory [22.85129722207174]
We show that contradiction resolution is write-time control and make the missing contract explicit.<n> TOKI types the fourjudicats as one family of bitemporal operators over a dual-row schema.<n>A verdict matrix over eight systems localizes the gap: every baseline that keeps a language-model judge on the write path admits at least one of three write-time anomalies.
arXiv Detail & Related papers (2026-06-04T14:46:52Z) - CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks [47.027290803102666]
We present CoEval, an open framework that supplies a trustworthy, task-specific signal through ensemble self-evaluation.<n>A pool of models rotates through all three roles, teacher, student, and judge, to generate a fresh, contamination-free benchmark.
arXiv Detail & Related papers (2026-06-02T13:41:43Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.