Space / Aerospace | SEAMS Newsletter | BLOCK VECTOR Technologies

Receipts

Run stamp	20260313_112413
Tool version	v348
SEAM model	seamv1
Generated	2026-03-13 11:24:26
Total rows scanned	10409
Unique records	8022
Duplicate rate	22.9%
Seam candidate rate (deduped)	0.2%
Median views	0
Median downloads	0
Median conversion	0.000
Median citations	2

What these numbers mean

Click for definitions

Total rows scanned: total sampled rows across slices (rows × sorts × pages × terms). Not deduped.
Unique records: deduped count of unique record_id values in the consolidated dataset.
Duplicate rate: 1 − (unique / total). High duplication usually means the same papers repeat across sorts/buckets/pages.
SEAM candidate rate: candidates / unique (deduped) based on the SEAM model threshold.
Median views/downloads/conversion: robust central tendency across the current run’s unique records.
Top seam tells: the most common seam signals seen in the candidate set.
New keyword candidates: terms disproportionately associated with seam candidates (heuristic, min sample size).
Exclude/downweight terms: high-volume terms with low median conversion (heuristic, min sample size).

Engagement Comparison

	Rows	Unique	Median Views	Median Downloads	Median Conversion
Candidates	37	18	33	38	0.627
Non-candidates	10372	8004	0	0	0.000

Run Funnel

A quick read on where rows are being filtered out between collection, text availability, tell detection, near-miss status, and final candidate status.

Bucket Yield

Bronze shows total rows per bucket. Steel overlay shows candidate + near-miss yield so weak buckets stand out quickly.

SEAM Candidate Articles

Article	Bucket/Sources	Score	Views	DL	Cites	Evidence/snippet
S³–CORE™ v5: Field Trial Execution & Compliance Evidence Pack A Procurement-Evaluable Test Environment Deployment and Mandate-Traceable AI Command Governance Validation Framework for Sovereign Runtime Authorization, Recurring Control Enforcement, and Machine-Auditable Legal Execution in Constitution-Bound State Systems	`B_systems_resilience:bestmatch\|B_systems_resilience:mostdownloaded\|B_systems_resilience:mostrecent\|B_systems_resilience:mostviewed`	49	142	89	11	\begin{itemize} \item do injected execution scenario \item runtime execution eligibility log \item rcle expiry event capture \item mandate revocation event \...
ENTRUST D4.2 Runtime Assurance & Certification Framework – First Release	`C_standards_conformance:bestmatch\|C_standards_conformance:mostdownloaded\|C_standards_conformance:mostrecent\|C_standards_conformance:mostviewed`	48	98	325	12
Experiments for 'Runtime Monitoring for Markov Decision Processes'	`C_standards_conformance:bestmatch\|C_standards_conformance:mostdownloaded\|C_standards_conformance:mostrecent\|C_standards_conformance:mostviewed`	44	709	340	20
D4.3 Runtime Assurance & Certification Framework – Final Release	`C_standards_conformance:bestmatch\|C_standards_conformance:mostdownloaded\|C_standards_conformance:mostrecent\|C_standards_conformance:mostviewed`	40	53	54	12
Design and simulation of a TTRH-EV supervisory controller for a proton SAGA 1.3	`C_standards_conformance:bestmatch\|C_standards_conformance:mostdownloaded\|C_standards_conformance:mostrecent\|C_standards_conformance:mostviewed`	39	33	26	13	a supervisory controller design and implementation for retrofitted ttrh-ev saga is based on the bsfc map and ool of the engine.
Remote Supervisory Control for a Robotic Container Handling System	`C_standards_conformance:bestmatch\|C_standards_conformance:mostdownloaded\|C_standards_conformance:mostrecent\|C_standards_conformance:mostviewed`	39	32	38	13	during the mmi platform meeting on the 8th of march 2022, tno colleagues represented moses project, by delivering a presentation entitled:  remote super...
A Speed-Constrained Sliding Mode Position Controller for PMLSM Based on Control Barrier Function	`C_standards_conformance:newest`	22	0	0	22
The Use of the Simplex Architecture to Enhance Safety in Deep-Learning-Powered Autonomous Systems	`C_standards_conformance:newest`	22	0	0	22
The effect of control barrier functions on energy transfers in controlled physical systems	`E_interface_icd:newest`	20	0	0	20
Overview and Performance Evaluation of Supervisory Controller Synthesis with Eclipse ESCET v4.0	`C_standards_conformance:newest`	13	0	0	13
Explainable AI-Enhanced Supervisory Control for Robust Multi-Agent Robotic Systems	`C_standards_conformance:newest`	13	0	0	13
Predictive Uncertainty for Runtime Assurance of a Real-Time Computer Vision-Based Landing System	`C_standards_conformance:newest`	12	0	0	12
S³–CORE™ v5: Field Trial Execution & Compliance Evidence Pack A Procurement-Evaluable Test Environment Deployment and Mandate-Traceable AI Command Governance Validation Framework for Sovereign Runtime Authorization, Recurring Control Enforcement, and Machine-Auditable Legal Execution in Constitution-Bound State Systems	`B_systems_resilience:newest`	11	0	0	11
S³–CORE™ v5: Field Trial Execution & Compliance Evidence Pack A Procurement-Evaluable Test Environment Deployment and Mandate-Traceable AI Command Governance Validation Framework for Sovereign Runtime Authorization, Recurring Control Enforcement, and Machine-Auditable Legal Execution in Constitution-Bound State Systems	`B_systems_resilience:newest`	11	0	0	11
Research on risk prevention and control of coal mine gas explosion using bayesian network and system dynamics: An optimization model for safety investment decision-making	`C_standards_conformance:newest\|H_trust_boundary_zta:newest`	10	0	0	10
Barrier Functions for Multiagent-POMDPs with DTL Specifications	`A_autonomous_ai_safety:newest`	10	0	0	10
Dual-Modality IoT Framework for Integrated Access Control and Environmental Safety Monitoring with Real-Time Cloud Analytics	`C_standards_conformance:newest`	10	0	0	10
Advancing Accessible Hand-Arm Vibration Safety Monitoring: ISO-Compliance with Wearable Sensors and Transfer Functions	`C_standards_conformance:newest`	10	0	0	10

Top Seam Tells

Tell	Count
1	37
domain	36
gate+action+domain	24
runtime assurance	13
supervisory control	10
safety	9
13	8
audit	6
command authorization	4
19	4

Note: Some sources do not provide abstracts/metrics; “tells” may be title-derived for those rows.

Near-Miss Diagnostics

Article	Bucket	Source	Tells	Views	DL	Why not candidate
From farm to fork: Enhancing meat traceability and safety with intelligent packaging	`C_standards_conformance`	crossref	3	0	0	No conversion; No metrics
Documentation Gap Analysis: Independent Audit of TGA COVID-19 Vaccine Safety Monitoring Plan	`C_standards_conformance`	openalex	3	0	0	No conversion; No metrics
Documentation Gap Analysis: Independent Audit of TGA COVID-19 Vaccine Safety Monitoring Plan	`C_standards_conformance`	openalex	3	0	0	No conversion; No metrics
Assessing the efficacy and safety of rTMS, tDCS, and DBS in treating auditory hallucinations: a scoping review	`C_standards_conformance`	openalex	3	0	0	No conversion; No metrics
ILION-Bench v2: Execution Safety Benchmark for Agentic AI Systems	`G_handoff_transition`	zenodo	2	11576	13811	Near threshold
ILION-Bench v2: Execution Safety Benchmark for Agentic AI Systems	`G_handoff_transition`	zenodo	2	11576	13811	Near threshold
KnittedKeyboard: Digital Knitting of Electronic Textile Musical Controllers	`H_trust_boundary_zta`	zenodo	2	343	409	Near threshold
KnittedKeyboard: Digital Knitting of Electronic Textile Musical Controllers	`H_trust_boundary_zta`	zenodo	2	343	409	Near threshold
KnittedKeyboard: Digital Knitting of Electronic Textile Musical Controllers	`H_trust_boundary_zta`	zenodo	2	343	409	Near threshold
Multi-Machine Fabrication: An Integrative Design Process Utilising an Autonomous UAV and Industrial Robots for the Fabrication of Long Span Composite Structures	`D_custom`	zenodo	2	451	197	Near threshold
Multi-Machine Fabrication: An Integrative Design Process Utilising an Autonomous UAV and Industrial Robots for the Fabrication of Long Span Composite Structures	`D_custom`	zenodo	2	451	197	Near threshold
Multi-Machine Fabrication: An Integrative Design Process Utilising an Autonomous UAV and Industrial Robots for the Fabrication of Long Span Composite Structures	`D_custom`	zenodo	2	451	197	Near threshold
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles	`C_standards_conformance`	zenodo	2	309	65	Near threshold
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles	`C_standards_conformance`	zenodo	2	309	65	Near threshold
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles	`C_standards_conformance`	zenodo	2	309	65	Near threshold
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles	`C_standards_conformance`	zenodo	2	309	65	Near threshold
AuditLog.AI — Runtime Execution and System Validation Evidence Dossier \| End‑to‑End Operational Proof During Regulatory Global Submission	`G_handoff_transition`	zenodo	2	161	93	Near threshold
Advanced numerical simulation and modeling for reactor safety – contributions from the CORTEX, McSAFER, and METIS projects	`G_handoff_transition`	zenodo	2	145	93	Near threshold
IODP Expedition 346 Gas safety report	`D_custom`	zenodo	2	51	180	Near threshold
IODP Expedition 346 Gas safety report	`D_custom`	zenodo	2	51	180	Near threshold

Rows shown here are not final SEAM candidates, but they were close enough to help tune thresholds, buckets, and tell logic.

Why rows did not become SEAM candidates

reason	rows	share
Low SEAM score	10372	100.0%
No seam tells detected	9263	89.3%
No measurable conversion	5805	56.0%
No engagement metrics	5556	53.6%
Missing abstract / summary text	1	0.0%
Source likely sparse on abstract/metrics	1	0.0%

These are diagnostic reasons counted across non-candidate rows. A single row can contribute to more than one reason, so the shares are directional rather than additive.

Bucket Performance

bucket	rows	unique	text	tells	near	cand	cand_rate	med_views	med_dl
C_standards_conformance	1750	1023	1750	302	274	28	1.6%	16	9
H_trust_boundary_zta	1750	1486	1750	224	223	1	0.1%	13	7
A_autonomous_ai_safety	1146	726	1146	174	173	1	0.1%	0	0
G_handoff_transition	1750	1669	1750	108	108	0	0.0%	2	0
E_interface_icd	653	623	652	102	101	1	0.2%	0	0
B_systems_resilience	669	555	669	94	88	6	0.9%	0	0
D_custom	1750	1288	1750	86	86	0	0.0%	21	11.5
F_dsm_integration_structure	941	776	941	56	56	0	0.0%	0	0

Use this to see which buckets are producing rows, text, tells, near-misses, and candidates.

Source Performance

source	rows	unique	text	tells	near	cand	cand_rate	med_views	med_dl
zenodo	4968	2707	4968	431	407	24	0.5%	70	75
crossref	2000	1905	2000	267	264	3	0.1%	0	0
arxiv	1441	1430	1441	238	230	8	0.6%	0	0
openalex	2000	1980	1999	210	208	2	0.1%	0	0

Use this to compare which sources are providing richer data versus sparse metadata.

Top “New Keyword Candidates”

term	n	cand_rate	med_conv
C_standards_conformance	1750	1.6%	0.275
B_systems_resilience	669	0.9%	0.000
E_interface_icd	653	0.2%	0.000
A_autonomous_ai_safety	1146	0.1%	0.000
H_trust_boundary_zta	1750	0.1%	0.240
D_custom	1750	0.0%	0.242
G_handoff_transition	1750	0.0%	0.000
F_dsm_integration_structure	941	0.0%	0.000

Heuristic: terms with high seam-candidate association (min 5 samples). Low-sample rows are highlighted and tooltipped.

Top “Exclude / Downweight Terms”

term	n	med_conv
B_systems_resilience	152	0.232
F_dsm_integration_structure	220	0.707
G_handoff_transition	1000	0.793
A_autonomous_ai_safety	556	0.818
C_standards_conformance	1000	0.929
H_trust_boundary_zta	1000	0.938
D_custom	1000	0.988
E_interface_icd	40	1.045

Heuristic: Zenodo terms with low median conversion (min 10 samples, cutoff 0.02). Low-sample rows are highlighted and tooltipped.

Receipts

What these numbers mean

Engagement Comparison

Run Funnel

Bucket Yield

SEAM Candidate Articles

Top Seam Tells

Near-Miss Diagnostics

Why rows did not become SEAM candidates

Bucket Performance

Source Performance

Top “New Keyword Candidates”

Top “Exclude / Downweight Terms”

History and trends

Files