T-Time Framework: A Global Synchronization Standard for Physical Measurement and State Reconstruction Article Swipe
T-Time Framework: A Global Synchronization Standard for Physical Measurement and State Reconstruction Version: DOI-ready manuscript Author: Harald FuehrerAffiliation: Independent ResearcherCorrespondence: [[email protected]: 2025-12-05 Abstract Scientific measurements across the globe rely on incompatible temporal reference frames, leading to systematic fragmentation, reduced reproducibility, and the loss of correlations that span geographic and disciplinary boundaries. This paper introduces T-Time, a universal synchronization framework designed to provide a single, coherent temporal index for all scientific measurements. T-Time is not a physical theory but a neutral infrastructure layer. By combining a universal timestamp with standardized metadata, T-Time enables reconstruction of a global physical state space, allowing detection of hidden correlations, improved reproducibility, and unprecedented integration of heterogeneous data. This framework is compatible with all major physical theories, including relativity and quantum mechanics, and serves as a foundation for next-generation scientific synthesis. 1. Introduction Despite exponential growth in data collection, physics and related sciences face a fundamental limitation: temporal fragmentation. Laboratories and observatories use distinct time standards—UTC, GPS time, local clock systems, custom software stamps—resulting in datasets that cannot be merged with high precision. This paper proposes an infrastructural solution rather than a theoretical one:a globally coherent timestamping system, T-Time, serving as a unifying temporal coordinate for all scientific measurements. 2. Conceptual Definition of T-Time T-Time is defined as: It does not redefine physical time.Instead, it standardizes how experiments record time. A T-Time entry consists of: T-Time scalar — global, continuous timestampMetadata block — environmental, geometric, and instrumental contextMeasurement payload — the observed physical quantity 3. The Problem of Temporal Fragmentation 3.1 Multiple incompatible time references Current scientific practice employs: UTC (with leap seconds)GPS and GLONASS timebasesLocal laboratory clocksNon-synchronized software timestampsRelativistic corrections applied inconsistently These discrepancies introduce errors that often exceed the precision of modern instruments. 3.2 Scientific consequences Loss of cross-laboratory reproducibilityInability to correlate astrophysical, geophysical, and quantum eventsHidden systematic biasesFragmented understanding of global or multi-scale phenomena 4. The T-Time Framework 4.1 Universal T-Time Stamp A single scalar value, e.g.T = 18539284712.220731representing seconds since a defined epoch, without leap seconds. 4.2 Metadata Standard Each measurement includes metadata about: geographical coordinatesgeometric orientationambient temperature, pressure, humidityelectromagnetic backgrounddetector configuration and calibrationlocal gravitational potential (optional)instrument precision 4.3 Data Payload The measured quantity, in standardized units. 5. Reconstruction of a Global Physical State When aggregated, T-Time indexed measurements enable: detection of correlations between distant eventsconstruction of a global, four-dimensional physical datasetimproved statistical modellingretrospective reconstruction of experimental conditionslarge-scale anomaly detection This unlocks an unprecedented, global scientific coherence. 6. Theoretical Neutrality T-Time: does not assume absolute time existsdoes not conflict with relativitysupports proper-time metadata fieldsintegrates quantum and classical measurements seamlessly It functions solely as a universal indexing layer. 7. Implementation Proposal 7.1 Establishing a Global Epoch A monotonic epoch (similar to Unix time, without leap seconds). 7.2 Open API for Dataset Submission Cross-platform, verifiable, high-precision. 7.3 Metadata Governance Board International, interdisciplinary. 7.4 Distributed Global Database Redundant, secure, long-term. 7.5 Analytical Tools Machine-learning and statistical frameworks for correlation detection. 8. Transformative Potential 8.1 Toward a global “digital twin” of EarthGlobal reconstruction of physical states, weather, geophysics, and astrophysics.8.2 Enhanced experimental integrity Time-coherent reproducibility across institutions. 8.3 Integration across scales From particle physics to climate science. 8.4 Long-term scientific continuity Future researchers can re-analyze the past with complete temporal context. 9. Conclusion T-Time provides the missing temporal infrastructure that modern science requires to achieve truly global coherence. By standardizing the temporal axis and contextual metadata for all measurements, it becomes possible to detect correlations, refine theoretical models, and reconstruct the physical state of the world with an unprecedented level of detail. T-Time does not replace any physical theory.It enables all of them to be tested more powerfully.Author Contributions H. [Surname] — conceptualization, theoretical framework, manuscript preparation. FundingThis research received no external funding. Conflict of Interest Statement The author declares no conflict of interest. Data AvailabilityAll concepts and structures described are theoretical; no experimental datasets were generated. Acknowledgments The author thanks the open research community for ongoing dialogue about synchronization and data integration in physics.
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https://openalex.org/W7109053983Canonical identifier for this work in OpenAlex
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- Title
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T-Time Framework: A Global Synchronization Standard for Physical Measurement and State ReconstructionWork title
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preprintOpenAlex work type
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enPrimary language
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2025Year of publication
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Fuehrer, HaraldList of authors in order
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greenOpen access status per OpenAlex
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Computer science, Synchronization (alternating current), Global Positioning System, Payload (computing), Theoretical computer science, Software, Scalar (mathematics), Timestamp, State (computer science), Physical system, Universal Time, Abstraction, Block (permutation group theory), Distributed computing, Data mining, Consistency (knowledge bases), Computer engineering, Real-time computing, Physical science, Cyber-physical systemTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.Problem | 250 |
| abstract_inverted_index.T-Time, | 54, 192 |
| abstract_inverted_index.T-Time: | 408 |
| abstract_inverted_index.achieve | 548 |
| abstract_inverted_index.anomaly | 396 |
| abstract_inverted_index.applied | 275 |
| abstract_inverted_index.becomes | 564 |
| abstract_inverted_index.between | 381 |
| abstract_inverted_index.climate | 519 |
| abstract_inverted_index.defined | 210, 329 |
| abstract_inverted_index.detail. | 585 |
| abstract_inverted_index.distant | 382 |
| abstract_inverted_index.enable: | 377 |
| abstract_inverted_index.enables | 91, 593 |
| abstract_inverted_index.frames, | 33 |
| abstract_inverted_index.global, | 232, 386 |
| abstract_inverted_index.indexed | 375 |
| abstract_inverted_index.leading | 34 |
| abstract_inverted_index.missing | 540 |
| abstract_inverted_index.models, | 571 |
| abstract_inverted_index.neutral | 79 |
| abstract_inverted_index.ongoing | 650 |
| abstract_inverted_index.payload | 242 |
| abstract_inverted_index.physics | 143, 517 |
| abstract_inverted_index.provide | 61 |
| abstract_inverted_index.quantum | 124, 301, 422 |
| abstract_inverted_index.reduced | 38 |
| abstract_inverted_index.related | 145 |
| abstract_inverted_index.replace | 589 |
| abstract_inverted_index.science | 545 |
| abstract_inverted_index.seconds | 326 |
| abstract_inverted_index.secure, | 473 |
| abstract_inverted_index.serving | 193 |
| abstract_inverted_index.single, | 63 |
| abstract_inverted_index.states, | 499 |
| abstract_inverted_index.system, | 191 |
| abstract_inverted_index.twin” | 493 |
| abstract_inverted_index.unlocks | 399 |
| abstract_inverted_index.without | 331, 450 |
| abstract_inverted_index.(similar | 446 |
| abstract_inverted_index.Abstract | 22 |
| abstract_inverted_index.Conflict | 617 |
| abstract_inverted_index.Database | 471 |
| abstract_inverted_index.Enhanced | 504 |
| abstract_inverted_index.Interest | 619 |
| abstract_inverted_index.Metadata | 335, 463 |
| abstract_inverted_index.Multiple | 255 |
| abstract_inverted_index.Physical | 7, 370 |
| abstract_inverted_index.Proposal | 437 |
| abstract_inverted_index.Standard | 5, 336 |
| abstract_inverted_index.Temporal | 252 |
| abstract_inverted_index.Version: | 12 |
| abstract_inverted_index.absolute | 412 |
| abstract_inverted_index.allowing | 99 |
| abstract_inverted_index.coherent | 64, 189 |
| abstract_inverted_index.complete | 532 |
| abstract_inverted_index.concepts | 630 |
| abstract_inverted_index.conflict | 416, 625 |
| abstract_inverted_index.consists | 227 |
| abstract_inverted_index.context. | 534 |
| abstract_inverted_index.datasets | 169, 638 |
| abstract_inverted_index.declares | 623 |
| abstract_inverted_index.designed | 59 |
| abstract_inverted_index.dialogue | 651 |
| abstract_inverted_index.distinct | 157 |
| abstract_inverted_index.employs: | 262 |
| abstract_inverted_index.external | 615 |
| abstract_inverted_index.funding. | 616 |
| abstract_inverted_index.globally | 188 |
| abstract_inverted_index.improved | 104 |
| abstract_inverted_index.includes | 339 |
| abstract_inverted_index.indexing | 433 |
| abstract_inverted_index.measured | 360 |
| abstract_inverted_index.metadata | 340, 420, 559 |
| abstract_inverted_index.observed | 245 |
| abstract_inverted_index.particle | 516 |
| abstract_inverted_index.physical | 75, 96, 119, 216, 246, 388, 498, 575, 591 |
| abstract_inverted_index.physics. | 658 |
| abstract_inverted_index.possible | 565 |
| abstract_inverted_index.practice | 261 |
| abstract_inverted_index.proposes | 179 |
| abstract_inverted_index.provides | 538 |
| abstract_inverted_index.quantity | 247 |
| abstract_inverted_index.received | 613 |
| abstract_inverted_index.redefine | 215 |
| abstract_inverted_index.requires | 546 |
| abstract_inverted_index.research | 612, 647 |
| abstract_inverted_index.science. | 520 |
| abstract_inverted_index.sciences | 146 |
| abstract_inverted_index.seconds. | 333 |
| abstract_inverted_index.software | 166, 272 |
| abstract_inverted_index.solution | 182 |
| abstract_inverted_index.systems, | 164 |
| abstract_inverted_index.temporal | 31, 65, 151, 197, 533, 541, 555 |
| abstract_inverted_index.unifying | 196 |
| abstract_inverted_index.weather, | 500 |
| abstract_inverted_index.DOI-ready | 13 |
| abstract_inverted_index.Framework | 314 |
| abstract_inverted_index.Long-term | 522 |
| abstract_inverted_index.Potential | 487 |
| abstract_inverted_index.Statement | 620 |
| abstract_inverted_index.Universal | 316 |
| abstract_inverted_index.[Surname] | 604 |
| abstract_inverted_index.classical | 424 |
| abstract_inverted_index.combining | 83 |
| abstract_inverted_index.community | 648 |
| abstract_inverted_index.correlate | 297 |
| abstract_inverted_index.described | 633 |
| abstract_inverted_index.detection | 100, 378, 397 |
| abstract_inverted_index.framework | 58, 113 |
| abstract_inverted_index.functions | 428 |
| abstract_inverted_index.including | 121 |
| abstract_inverted_index.integrity | 506 |
| abstract_inverted_index.interest. | 627 |
| abstract_inverted_index.introduce | 279 |
| abstract_inverted_index.metadata, | 89 |
| abstract_inverted_index.monotonic | 444 |
| abstract_inverted_index.phenomena | 310 |
| abstract_inverted_index.potential | 353 |
| abstract_inverted_index.precision | 285, 355 |
| abstract_inverted_index.pressure, | 346 |
| abstract_inverted_index.quantity, | 361 |
| abstract_inverted_index.reference | 32 |
| abstract_inverted_index.seconds). | 452 |
| abstract_inverted_index.theories, | 120 |
| abstract_inverted_index.theory.It | 592 |
| abstract_inverted_index.timestamp | 86 |
| abstract_inverted_index.universal | 56, 85, 432 |
| abstract_inverted_index.2025-12-05 | 21 |
| abstract_inverted_index.Analytical | 476 |
| abstract_inverted_index.Conceptual | 204 |
| abstract_inverted_index.Conclusion | 536 |
| abstract_inverted_index.Definition | 205 |
| abstract_inverted_index.Framework: | 1 |
| abstract_inverted_index.Governance | 464 |
| abstract_inverted_index.Neutrality | 407 |
| abstract_inverted_index.Redundant, | 472 |
| abstract_inverted_index.Scientific | 23, 290 |
| abstract_inverted_index.Submission | 458 |
| abstract_inverted_index.coherence. | 404, 551 |
| abstract_inverted_index.compatible | 115 |
| abstract_inverted_index.contextual | 558 |
| abstract_inverted_index.continuity | 524 |
| abstract_inverted_index.continuous | 233 |
| abstract_inverted_index.coordinate | 198 |
| abstract_inverted_index.detection. | 484 |
| abstract_inverted_index.existsdoes | 414 |
| abstract_inverted_index.foundation | 130 |
| abstract_inverted_index.framework, | 608 |
| abstract_inverted_index.frameworks | 481 |
| abstract_inverted_index.generated. | 640 |
| abstract_inverted_index.geographic | 47 |
| abstract_inverted_index.geometric, | 238 |
| abstract_inverted_index.introduces | 53 |
| abstract_inverted_index.laboratory | 270 |
| abstract_inverted_index.long-term. | 474 |
| abstract_inverted_index.manuscript | 14, 609 |
| abstract_inverted_index.mechanics, | 125 |
| abstract_inverted_index.precision. | 176 |
| abstract_inverted_index.re-analyze | 528 |
| abstract_inverted_index.references | 258 |
| abstract_inverted_index.relativity | 122 |
| abstract_inverted_index.scientific | 69, 133, 201, 260, 403, 523 |
| abstract_inverted_index.seamlessly | 426 |
| abstract_inverted_index.structures | 632 |
| abstract_inverted_index.synthesis. | 134 |
| abstract_inverted_index.systematic | 36, 303 |
| abstract_inverted_index.“digital | 492 |
| abstract_inverted_index.Distributed | 469 |
| abstract_inverted_index.EarthGlobal | 495 |
| abstract_inverted_index.FundingThis | 611 |
| abstract_inverted_index.Independent | 18 |
| abstract_inverted_index.Integration | 512 |
| abstract_inverted_index.Measurement | 8 |
| abstract_inverted_index.Theoretical | 406 |
| abstract_inverted_index.aggregated, | 373 |
| abstract_inverted_index.boundaries. | 50 |
| abstract_inverted_index.collection, | 142 |
| abstract_inverted_index.corrections | 274 |
| abstract_inverted_index.correlation | 483 |
| abstract_inverted_index.experiments | 221 |
| abstract_inverted_index.exponential | 138 |
| abstract_inverted_index.fundamental | 149 |
| abstract_inverted_index.geophysics, | 501 |
| abstract_inverted_index.integration | 108, 656 |
| abstract_inverted_index.limitation: | 150 |
| abstract_inverted_index.measurement | 338 |
| abstract_inverted_index.multi-scale | 309 |
| abstract_inverted_index.proper-time | 419 |
| abstract_inverted_index.reconstruct | 573 |
| abstract_inverted_index.researchers | 526 |
| abstract_inverted_index.seconds)GPS | 266 |
| abstract_inverted_index.statistical | 390, 480 |
| abstract_inverted_index.theoretical | 186, 570, 607 |
| abstract_inverted_index.verifiable, | 460 |
| abstract_inverted_index.Establishing | 439 |
| abstract_inverted_index.Introduction | 136 |
| abstract_inverted_index.Laboratories | 153 |
| abstract_inverted_index.consequences | 291 |
| abstract_inverted_index.correlations | 44, 380 |
| abstract_inverted_index.disciplinary | 49 |
| abstract_inverted_index.eventsHidden | 302 |
| abstract_inverted_index.experimental | 394, 505, 637 |
| abstract_inverted_index.geographical | 342 |
| abstract_inverted_index.geophysical, | 299 |
| abstract_inverted_index.incompatible | 30, 256 |
| abstract_inverted_index.instrumental | 240 |
| abstract_inverted_index.instruments. | 288 |
| abstract_inverted_index.measurements | 24, 376, 425 |
| abstract_inverted_index.preparation. | 610 |
| abstract_inverted_index.standardized | 88, 363 |
| abstract_inverted_index.standardizes | 219 |
| abstract_inverted_index.temperature, | 345 |
| abstract_inverted_index.theoretical; | 635 |
| abstract_inverted_index.timestamping | 190 |
| abstract_inverted_index.Contributions | 602 |
| abstract_inverted_index.Fragmentation | 253 |
| abstract_inverted_index.Time-coherent | 507 |
| abstract_inverted_index.configuration | 349 |
| abstract_inverted_index.correlations, | 103, 568 |
| abstract_inverted_index.discrepancies | 278 |
| abstract_inverted_index.gravitational | 352 |
| abstract_inverted_index.heterogeneous | 110 |
| abstract_inverted_index.institutions. | 510 |
| abstract_inverted_index.measurements, | 562 |
| abstract_inverted_index.measurements. | 70, 202 |
| abstract_inverted_index.observatories | 155 |
| abstract_inverted_index.standardizing | 553 |
| abstract_inverted_index.time.Instead, | 217 |
| abstract_inverted_index.understanding | 305 |
| abstract_inverted_index.unprecedented | 107, 582 |
| abstract_inverted_index.Implementation | 436 |
| abstract_inverted_index.International, | 466 |
| abstract_inverted_index.Reconstruction | 11, 366 |
| abstract_inverted_index.Transformative | 486 |
| abstract_inverted_index.astrophysical, | 298 |
| abstract_inverted_index.environmental, | 237 |
| abstract_inverted_index.fragmentation, | 37 |
| abstract_inverted_index.fragmentation. | 152 |
| abstract_inverted_index.inconsistently | 276 |
| abstract_inverted_index.infrastructure | 80, 542 |
| abstract_inverted_index.reconstruction | 92, 392, 496 |
| abstract_inverted_index.timebasesLocal | 269 |
| abstract_inverted_index.unprecedented, | 401 |
| abstract_inverted_index.Acknowledgments | 641 |
| abstract_inverted_index.AvailabilityAll | 629 |
| abstract_inverted_index.Cross-platform, | 459 |
| abstract_inverted_index.Synchronization | 4 |
| abstract_inverted_index.datasetimproved | 389 |
| abstract_inverted_index.high-precision. | 461 |
| abstract_inverted_index.infrastructural | 181 |
| abstract_inverted_index.next-generation | 132 |
| abstract_inverted_index.reproducibility | 508 |
| abstract_inverted_index.synchronization | 57, 653 |
| abstract_inverted_index.Machine-learning | 478 |
| abstract_inverted_index.astrophysics.8.2 | 503 |
| abstract_inverted_index.biasesFragmented | 304 |
| abstract_inverted_index.calibrationlocal | 351 |
| abstract_inverted_index.cross-laboratory | 294 |
| abstract_inverted_index.fieldsintegrates | 421 |
| abstract_inverted_index.four-dimensional | 387 |
| abstract_inverted_index.reproducibility, | 39, 105 |
| abstract_inverted_index.standards—UTC, | 159 |
| abstract_inverted_index.powerfully.Author | 601 |
| abstract_inverted_index.timestampMetadata | 234 |
| abstract_inverted_index.backgrounddetector | 348 |
| abstract_inverted_index.conceptualization, | 606 |
| abstract_inverted_index.contextMeasurement | 241 |
| abstract_inverted_index.eventsconstruction | 383 |
| abstract_inverted_index.interdisciplinary. | 467 |
| abstract_inverted_index.orientationambient | 344 |
| abstract_inverted_index.relativitysupports | 418 |
| abstract_inverted_index.stamps—resulting | 167 |
| abstract_inverted_index.FuehrerAffiliation: | 17 |
| abstract_inverted_index.(optional)instrument | 354 |
| abstract_inverted_index.coordinatesgeometric | 343 |
| abstract_inverted_index.conditionslarge-scale | 395 |
| abstract_inverted_index.clocksNon-synchronized | 271 |
| abstract_inverted_index.modellingretrospective | 391 |
| abstract_inverted_index.timestampsRelativistic | 273 |
| abstract_inverted_index.humidityelectromagnetic | 347 |
| abstract_inverted_index.reproducibilityInability | 295 |
| abstract_inverted_index.ResearcherCorrespondence: | 19 |
| abstract_inverted_index.[[email protected]: | 20 |
| abstract_inverted_index.18539284712.220731representing | 325 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 1 |
| citation_normalized_percentile |