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Paper Citation Record · LEDGER

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization

As of 19 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2601.20317.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2601.20317 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:45:32.833072Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T06:37:17.739341Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-25T06:40:25.741118Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9566443-67fe-4d5e-9fc2-414c07725408 · outbound

This paper cites Ahmed and K.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Ahmed and K

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7e73f657-59ba-48fb-82c2-cd182e2ffdc9 · outbound

This paper cites Quarot: Outlier-free 4-bit inference in rotated llms,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Quarot: Outlier-free 4-bit inference in rotated llms,

Reference 2

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Observation 267d241a-2bdf-489d-85e2-fdaf8163a72e · outbound

This paper cites Human-robot perception in industrial environments: A survey,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Human-robot perception in industrial environments: A survey,

Reference 3

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Observation cf04073b-742f-4682-993e-2a34c86d1fb8 · outbound

This paper cites Diannao: a small-footprint high-throughput accelerator for ubiquitous machine-learning,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Diannao: a small-footprint high-throughput accelerator for ubiquitous machine-learning,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 42d4b62e-dd96-4f2e-9bcd-221004843b24 · outbound

This paper cites Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Eyeriss: A spatial architecture for energy-efficient dataflow for convolutional neural networks,

Reference 5

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5966fd5a-fc49-431a-bfd4-983cd332db83 · outbound

This paper cites Bitmod: Bit-serial mixture-of- datatype llm acceleration,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Bitmod: Bit-serial mixture-of- datatype llm acceleration,

Reference 6

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a1a71299-97e1-495f-88fc-c55ab890f811 · outbound

This paper cites Nvidia a100 gpu: Performance & innova- tion for gpu computing,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Nvidia a100 gpu: Performance & innova- tion for gpu computing,

Reference 7

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 55601f20-e75d-4832-af3a-f047c52a1f49 · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Flashattention: Fast and memory-efficient exact attention with io-awareness,

Reference 8

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Observation a4c2a18b-bb2c-4905-bd33-2a034915e6ee · outbound

This paper cites A systematic review of a digital twin city: A new pattern of urban governance toward smart cities,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization A systematic review of a digital twin city: A new pattern of urban governance toward smart cities,

Reference 9

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 16d7ba38-a4f4-49c3-a806-6e0c896db6ae · outbound

This paper cites Gpt3. int8 (): 8-bit matrix multiplication for transformers at scale,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Gpt3. int8 (): 8-bit matrix multiplication for transformers at scale,

Reference 10

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Observation 2f5d5234-91b0-4531-982b-22616cfa5c78 · outbound

This paper cites Nvidia orin system-on-chip,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Nvidia orin system-on-chip,

Reference 11

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Observation 6eea3f92-7780-4094-a258-c648467d6b6b · outbound

This paper cites Nvidia’s xavier soc,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Nvidia’s xavier soc,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation aa9fee53-0dbf-42d0-a70f-5582aae4a228 · outbound

This paper cites Quantized visual geometry grounded transformer,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Quantized visual geometry grounded transformer,

Reference 13

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Observation f440d782-e1b6-4294-b1bf-5f4e073426f5 · outbound

This paper cites Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy

Reference 14

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source=pdf_text observed=2026-08-15T15:45:32.629287Z digest=sha256:92583fd65c4fd103326e6cd627382bf4e59e53ceb632ab293117e894f9f9918b

Observation 00337676-8d6d-4197-882e-aa3a6ca9d900 · outbound

This paper cites Cicero: Addressing algorithmic and architectural bottlenecks in neural rendering by radiance warping and memory optimizations,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Cicero: Addressing algorithmic and architectural bottlenecks in neural rendering by radiance warping and memory optimizations,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b01ede58-b896-4f4b-8ebb-b0dfc82d8f89 · outbound

This paper cites Olive: Accelerating large language models via hardware- friendly outlier-victim pair quantization,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Olive: Accelerating large language models via hardware- friendly outlier-victim pair quantization,

Reference 16

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Observation 6c66b8ec-81b8-4538-8a90-4047b4e66c85 · outbound

This paper cites Eie: Efficient inference engine on compressed deep neural network,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Eie: Efficient inference engine on compressed deep neural network,

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6eabd7b6-c737-4e29-bf37-66cf25396694 · outbound

This paper cites Hartley and A.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Hartley and A

Reference 18

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Observation d5645d37-a2c4-4e32-bee3-762ab21c7eb9 · outbound

This paper cites ITU-T Recommendation H.265: High Efficiency Video Coding,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization ITU-T Recommendation H.265: High Efficiency Video Coding,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d395439-53bd-431e-acee-2fd7cd5e5a41 · outbound

This paper cites JESD209-4: Low Power Double Data Rate 4 (LPDDR4),.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization JESD209-4: Low Power Double Data Rate 4 (LPDDR4),

Reference 20

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d0d387da-6c8b-4693-95e8-0784c52cac48 · outbound

This paper cites JESD235D: High Bandwidth Memory (HBM) DRAM,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization JESD235D: High Bandwidth Memory (HBM) DRAM,

Reference 21

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 80a5150c-30fb-4b18-a29c-f42357d7cbc0 · outbound

This paper cites JESD209-5C: Low Power Double Data Rate (LPDDR5/5X),.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization JESD209-5C: Low Power Double Data Rate (LPDDR5/5X),

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e2230dad-3405-4061-9e91-70241facfeed · outbound

This paper cites JESD238B.01: High Bandwidth Memory (HBM3) DRAM,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization JESD238B.01: High Bandwidth Memory (HBM3) DRAM,

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6c632e37-5655-4a80-a4a5-4c3c10873bf8 · outbound

This paper cites Large scale multi-view stereopsis evaluation,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Large scale multi-view stereopsis evaluation,

Reference 24

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Observation acc11e87-73b7-4bbe-a08e-60b86c0da6a8 · outbound

This paper cites Stripes: Bit-serial deep neural network computing,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Stripes: Bit-serial deep neural network computing,

Reference 25

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raw_fallback, observed 2026-08-15T15:45:33.437934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bc874e3d-b3c7-4072-b7df-75e4ffdc5e44 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization 3d gaussian splatting for real-time radiance field rendering

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:45:32.676880Z digest=sha256:6bcff79ea0ebceeacfa17eca55f36edb47a0a1dcc1b6addc8ee2de86ccdde967

Observation b47ce9a9-084b-4ff8-8286-0c5873f40c79 · outbound

This paper cites The discrete cosine transform (dct): theory and appli- cation,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization The discrete cosine transform (dct): theory and appli- cation,

Reference 27

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raw_fallback, observed 2026-08-15T15:45:33.416489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 13fbe69b-ba43-482a-9e12-ff58996c102b · outbound

This paper cites Tender: Accelerating large language models via tensor decomposition and runtime requantization,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Tender: Accelerating large language models via tensor decomposition and runtime requantization,

Reference 28

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raw_fallback, observed 2026-08-15T15:45:33.402466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.685104Z digest=sha256:f112459de6a1f167fac678450f9167fa34828a186cff33d0015c9f328777b2ca

Observation 5dbb3fd4-c5cd-4c67-913c-8f160d82900e · outbound

This paper cites Neurex: A case for neural rendering acceleration,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Neurex: A case for neural rendering acceleration,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dac74b6f-f74d-4d8b-abda-16fd3d000f9e · outbound

This paper cites Gscore: Efficient radiance field rendering via architectural support for 3d gaussian splatting,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Gscore: Efficient radiance field rendering via architectural support for 3d gaussian splatting,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.693131Z digest=sha256:612acc49e3dc3be95c55cb96230e08e70c606cdca7a322b21540b8aae12bdc30

Observation df5ddf42-008f-4bea-836c-f6885c111137 · outbound

This paper cites Rt-nerf: Real-time on-device neural radiance fields towards immersive ar/vr rendering,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Rt-nerf: Real-time on-device neural radiance fields towards immersive ar/vr rendering,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ba642f00-e4b8-4799-a651-5dfc87e19ffe · outbound

This paper cites Mbq: Modality-balanced quantization for large vision- language models,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Mbq: Modality-balanced quantization for large vision- language models,

Reference 32

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raw_fallback, observed 2026-08-15T15:45:33.348431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.700977Z digest=sha256:848fe24b427cfc605a19a76bcb310eabf09a9c498b6abca96a382417ce78309e

Observation 5c79ee49-8cef-481a-83d8-1eff93903f17 · outbound

This paper cites Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Instant-3d: Instant neural radiance field training towards on-device ar/vr 3d reconstruction,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:45:32.705047Z digest=sha256:e9c51490761ba3f52f94a35b3d7f24d7f449d3e231ec6b6ce40480fe80978bb7

Observation dee5c653-b400-469f-aaa8-9d30b76f1bbe · outbound

This paper cites Awq: Activation-aware weight quanti- zation for on-device llm compression and acceleration,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Awq: Activation-aware weight quanti- zation for on-device llm compression and acceleration,

Reference 34

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Observation 7c1e28ac-2635-4b63-938f-7be38c50282b · outbound

This paper cites Metasapiens: Real-time neural rendering with efficiency-aware pruning and accelerated foveated rendering,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Metasapiens: Real-time neural rendering with efficiency-aware pruning and accelerated foveated rendering,

Reference 35

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Observation a547c197-2e3e-418f-af21-b958cce92107 · outbound

This paper cites Flightvgm: Efficient video generation model inference with online sparsification and hybrid precision on fpgas,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Flightvgm: Efficient video generation model inference with online sparsification and hybrid precision on fpgas,

Reference 36

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source=pdf_text observed=2026-08-15T15:45:32.716795Z digest=sha256:b15a13c30573418a9c72550eaaed4e47a71d73031f963ab5f70fd5a6c19f31b1

Observation 43f6489c-dcde-47a8-9e5c-6162faa2f3f2 · outbound

This paper cites HQ-DiT: Efficient Diffusion Transformer with FP4 Hybrid Quantization.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization HQ-DiT: Efficient Diffusion Transformer with FP4 Hybrid Quantization

Reference 37

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source=pdf_text observed=2026-08-15T15:45:32.720879Z digest=sha256:26f7c605f1f3d44678212ae0a06fe58b2ec5cd95633cac1e31c7bef44cf100a5

Observation d0f7cc0b-eef1-4d65-b2aa-3d7b5016aac8 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization SpinQuant: LLM quantization with learned rotations

Reference 38

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source=pdf_text observed=2026-08-15T15:45:32.725102Z digest=sha256:04207b79bf9f14d130a109ae9d1ff884d7090ae211f653b998966e356a5f03da

Observation 8d4eb6f0-1f83-45cf-b77c-acf98818dea9 · outbound

This paper cites Fast inverse square root,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Fast inverse square root,

Reference 39

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.729409Z digest=sha256:65d55720b2eb7f5e68f8bc1decfddab9938f1dfc663d0ad2af33b07c00068023

Observation ddc2eb2f-503e-4827-b785-7dc8caa8330b · outbound

This paper cites Ramulator 2.0: A modern, modular, and extensible dram simulator,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Ramulator 2.0: A modern, modular, and extensible dram simulator,

Reference 40

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source=pdf_text observed=2026-08-15T15:45:32.733446Z digest=sha256:9472c4051ae9a60f8469a1f1b60a354fe7c3ad4f74e8486c4202b9ba09bec91e

Observation 412926dd-438e-4f47-8076-2e339a7fc95f · outbound

This paper cites Digital twins: A survey on enabling technologies, challenges, trends and future prospects,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Digital twins: A survey on enabling technologies, challenges, trends and future prospects,

Reference 41

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.737447Z digest=sha256:d28e812479b7ab460698cc98d92864a6678fc01f5ee71ccce0800cd7ade4a5ea

Observation 778742eb-22f4-4271-90f0-3e8f4db9e503 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 42

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source=pdf_text observed=2026-08-15T15:45:32.741435Z digest=sha256:845f01fe0bd874bc55f58bea612c2ff3bf339bc7823360351c90688c2065f4d5

Observation 6ca4beda-470e-49f3-9413-23ce64652a5a · outbound

This paper cites Response time in man-computer conversational transac- tions,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Response time in man-computer conversational transac- tions,

Reference 43

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.745634Z digest=sha256:c96cec7af8ac193b6f905c9599f95aa64f4015fc6fd9392b52e0fbd47af090d4

Observation 146a7205-ca95-4348-927b-53175999931e · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Instant neural graphics primitives with a multiresolution hash encoding,

Reference 44

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source=pdf_text observed=2026-08-15T15:45:32.749692Z digest=sha256:6fe24756ed2328b976fba43e4d9563a928f37ee063c1c0b2a0af3bd668af06dc

Observation ed7be072-7359-431c-8243-50057bb2b881 · outbound

This paper cites A study on tolerable waiting time: how long are web users willing to wait?.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization A study on tolerable waiting time: how long are web users willing to wait?

Reference 45

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.753794Z digest=sha256:bc95fa804eb563666f93e7f1364e4b26743b4ca379dd4a970e972704f64fa9ed

Observation af42ee64-01a1-4472-b575-bc755cc53b7d · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Dinov2: Learning robust visual features without supervision,

Reference 46

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raw_fallback, observed 2026-08-15T15:45:33.224944Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.757738Z digest=sha256:f29b9a237ca943b1f3ad447689bb06537be7d66e2ba75142ddf55346c125aada

Observation b94c3c1a-a832-49b4-9491-5b7ff15ce69a · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Pytorch: An imperative style, high-performance deep learning library,

Reference 47

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source=pdf_text observed=2026-08-15T15:45:32.761822Z digest=sha256:58d8d41b7f2e3be9e28caecae92a008b1ff65f9380dd72e30aea3712b8629ab3

Observation 85241db1-cfde-4232-b86f-1d8f56c0a3a5 · outbound

This paper cites Hadamard transform image coding,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Hadamard transform image coding,

Reference 48

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source=pdf_text observed=2026-08-15T15:45:32.765746Z digest=sha256:f2264ae2f18bb4e07da344d297d124e418b2ab0102899f2810887732f5fbc3fb

Observation 476112a2-ac13-4c1d-b0fd-6dc442a7eeab · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,

Reference 49

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source=pdf_text observed=2026-08-15T15:45:32.769514Z digest=sha256:3bd62cebe751f57474f4cf25acaeee0a1ddb125fb6d571e08350699d366ab6f9

Observation bda3f11b-e525-4294-9109-d38d7b79e676 · outbound

This paper cites Structure-from-motion revisited,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Structure-from-motion revisited,

Reference 50

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source=pdf_text observed=2026-08-15T15:45:32.773349Z digest=sha256:6b021338c9c478a8ebda7e85acc7d715ee6598f70b817a85951a4f84e1031646

Observation b193f0a8-f7a9-4797-8540-a366584bbb79 · outbound

This paper cites Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Bit fusion: Bit-level dynamically composable architecture for accelerating deep neural network,

Reference 51

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source=pdf_text observed=2026-08-15T15:45:32.777373Z digest=sha256:ecc153d3e7fee1d251aee72fbfefcda9ee1f9e012d20ecf213e15fac76382680

Observation 555a70de-4b81-495e-b9a2-bb01b9a74210 · outbound

This paper cites Scene coordinate regression forests for camera relocalization in rgb-d images,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Scene coordinate regression forests for camera relocalization in rgb-d images,

Reference 52

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source=pdf_text observed=2026-08-15T15:45:32.781561Z digest=sha256:24dbea753a5adf2eb07767615187351f7e94a56768583948580251346bc0febb

Observation efa12d83-9473-45f8-a233-36a533b5908f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 53

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source=pdf_text observed=2026-08-15T15:45:32.785379Z digest=sha256:669054d01359c4b33b72c8a278ec801bbdda6ffcdaa3f077d0b9c8de2bda8f4c

Observation e535b9b4-fc0d-45ed-b93e-4299509bb3ba · outbound

This paper cites QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 54

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source=pdf_text observed=2026-08-15T15:45:32.789339Z digest=sha256:affa0f4ba1009d1f6294c95dc708fa9590f601332846a572b9cb23cfcc76b96d

Observation aa041710-06c0-433f-84ee-b736163dcbb5 · outbound

This paper cites Vggt: Visual geometry grounded transformer,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Vggt: Visual geometry grounded transformer,

Reference 55

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source=pdf_text observed=2026-08-15T15:45:32.793718Z digest=sha256:74829e05c40c092a04ab1610bd029fc2f71b1547ad926cdde8b9e0f702c7f6c8

Observation 4d14d636-99e1-4493-9e81-968268a7ccf7 · outbound

This paper cites Tataa: Programmable mixed-precision transformer acceleration with a trans- formable arithmetic architecture,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Tataa: Programmable mixed-precision transformer acceleration with a trans- formable arithmetic architecture,

Reference 56

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.797381Z digest=sha256:86c7acafec4afc863f6c3146b3300a5553ffc6e44c8c2a1aa5b32000a084d5b2

Observation f91c5a19-130f-4b66-803e-49ef378ba645 · outbound

This paper cites Smoothquant: Accurate and efficient post-training quantization for large language models,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Smoothquant: Accurate and efficient post-training quantization for large language models,

Reference 57

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source=pdf_text observed=2026-08-15T15:45:32.801406Z digest=sha256:d0d890882623d834a9eec4dcec705964719413fa3eccd4f3cb354d0980e225ff

Observation 4ec84763-9cd3-4673-9e67-ef933549f359 · outbound

This paper cites Llm. 265: Video codecs are secretly tensor codecs,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Llm. 265: Video codecs are secretly tensor codecs,

Reference 58

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.805254Z digest=sha256:18933ddbd65422a2e9f33ad9befb8314a13c532c0b9def20840fccd3a4263baa

Observation 8166114a-0387-415f-a9b1-133a4b891c8d · outbound

This paper cites Advances in feed-forward 3d reconstruction and view synthesis: A survey,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Advances in feed-forward 3d reconstruction and view synthesis: A survey,

Reference 59

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source=pdf_text observed=2026-08-15T15:45:32.809301Z digest=sha256:9e4886afbe2ae656149ff2e6ba2e8c4ffdbd7f34ec869dc275517501f1c90431

Observation 46125bf7-8e08-4c83-9442-a6cb60e675dc · outbound

This paper cites D ´eja view: Spatio-temporal compute reuse for ‘energy-efficient 360 vr video streaming,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization D ´eja view: Spatio-temporal compute reuse for ‘energy-efficient 360 vr video streaming,

Reference 60

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.813210Z digest=sha256:2138ca6ceb1b247607de9ee265ea1dfd406c4557a30d7248b64f4b00ae00e306

Observation 6f473e6f-09e5-4ac3-82e4-2c93f6d9acb0 · outbound

This paper cites ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Reference 61

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source=pdf_text observed=2026-08-15T15:45:32.817148Z digest=sha256:4ed983259343c31575a3322073799c8df2158d57947971a446a4f387df55447c

Observation 0164de82-b347-4396-9087-0d09bb068d9c · outbound

This paper cites Mixdq: Memory-efficient few-step text-to-image diffu- sion models with metric-decoupled mixed precision quantization,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Mixdq: Memory-efficient few-step text-to-image diffu- sion models with metric-decoupled mixed precision quantization,

Reference 62

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.821512Z digest=sha256:235aabaf480737f30d5976eb7e843d1764be17ee4458a79eb6e277a9f00c7b92

Observation 851e66c4-06bf-4d3d-892f-98bf294b2bec · outbound

This paper cites Unsupervised learning of depth and ego-motion from video,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Unsupervised learning of depth and ego-motion from video,

Reference 63

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source=pdf_text observed=2026-08-15T15:45:32.825204Z digest=sha256:cc2f47c5806f18c635e272594622cf4b2346e4ecf5ed688ae228613834fad527

Observation f716a2de-8f06-44c2-9eb2-c099791703b7 · outbound

This paper cites Megascale-infer: Efficient mixture- of-experts model serving with disaggregated expert parallelism,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Megascale-infer: Efficient mixture- of-experts model serving with disaggregated expert parallelism,

Reference 64

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.829177Z digest=sha256:670024ed9b78d8a61bb764d1ce3bb4466a1e71b88efccfc5df0f4c97bc795e53

Observation 0f7a4383-2052-4763-a000-8fb0097b4dab · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam,.

VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization Nice-slam: Neural implicit scalable encoding for slam,

Reference 65

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T15:45:32.833072Z digest=sha256:8f021f1fc1676bd12ad0c25d5c85d3cc956c4c18e15fdaf1f0ad77e4326d40de

Pith citing papers

Observation 44736ec8-7042-49bf-8d96-fe8c63dcecec · inbound

Not All Tasks Quantize Equally: Fisher-Guided Quantization for Visual Geometry Transformer cites this paper.

Not All Tasks Quantize Equally: Fisher-Guided Quantization for Visual Geometry Transformer VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization

Reference 13

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arxiv_id, observed 2026-07-16T01:21:44.535478Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b54b4f26-a010-49f8-9268-b5f6662fa145 · inbound

Not All Tasks Quantize Equally: Fisher-Guided Quantization for Visual Geometry Transformer cites this paper.

Not All Tasks Quantize Equally: Fisher-Guided Quantization for Visual Geometry Transformer VersaQ-3D: Architecture Support for Visual Geometry Grounded Transformers via Versatile Quantization

Reference 13

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arxiv_id, observed 2026-07-16T01:21:44.535478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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