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Paper Citation Record · LEDGER

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering

As of 19 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.19133.

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

pith.paper-citation-record.v1
2507.19133 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:05:16.686863Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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  • unresolved8
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d2775f3-c6a9-4028-9802-db571b7d8a3f · outbound

This paper cites Eswaran, M.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Eswaran, M

Reference 1

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verified fuzzy
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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 49948c3c-f6a0-450f-9904-1f1f1e0e2bbc · outbound

This paper cites 3D Gaussian splatting for real-time radiance field rendering.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering 3D Gaussian splatting for real-time radiance field rendering

Reference 2

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verified fuzzy
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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 2d77d26d-462f-47e8-abb4-4acdc1a9c4c9 · outbound

This paper cites A Survey on 3D Gaussian Splatting.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering A Survey on 3D Gaussian Splatting

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 84f199fc-a58c-4bc1-97d8-6f7955652b29 · outbound

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

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Gscore: Efficient radiance field rendering via architectural support for 3d gaussian splatting,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 73c86325-a82e-4b94-879c-249ddcc86ba5 · outbound

This paper cites A 16nm 96Kb Integer/Floating- Point Dual-Mode-Gain-Cell- Computing-in-Memory Macro Achieving 73.3-163.3TOPS/W and 33.2-91.2TFLOPS/W for AI-Edge Devices,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering A 16nm 96Kb Integer/Floating- Point Dual-Mode-Gain-Cell- Computing-in-Memory Macro Achieving 73.3-163.3TOPS/W and 33.2-91.2TFLOPS/W for AI-Edge Devices,

Reference 5

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verified fuzzy
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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 a72dc77c-847d-4113-aeaa-3add8f25f429 · outbound

This paper cites Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis

Reference 6

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no resolver link, observed 2026-08-15T18:05:16.565732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:16.565732Z digest=sha256:01555dd93ed7e8368e88cec96612e056c53236d8ed582af2bc7984fe8240574c

Observation 71796dbc-8019-46a5-a380-99acfbfe861a · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering 4d gaussian splatting for real-time dynamic scene rendering,

Reference 7

Resolution
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no resolver link, observed 2026-08-15T18:05:16.571985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:16.571985Z digest=sha256:4bad6a6defce007200bef4e486c3f1b6bd5dd164df6aad390b3d0be4db433286

Observation 99bb16f6-a43f-4635-967b-59c64de682bf · outbound

This paper cites Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting

Reference 8

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unresolved
no resolver link, observed 2026-08-15T18:05:16.577744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:16.577744Z digest=sha256:86dd57e5cf4ca34d8d8e22b1ef4f461686ddd332bbc3b82da8a9258760c45809

Observation 0a11debe-5006-496d-9e37-043587c23816 · outbound

This paper cites Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Deformable 3d gaussians for high-fidelity monocular dynamic scene reconstruction,

Reference 9

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verified fuzzy
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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 f6579d39-7e38-453a-9bff-ba87238dd44d · outbound

This paper cites 4d-rotor gaussian splatting: towards efficient novel view synthesis for dynamic scenes,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering 4d-rotor gaussian splatting: towards efficient novel view synthesis for dynamic scenes,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T18:05:17.117997Z

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 85b00b55-c39f-4d81-9b3d-2beb2fe73053 · outbound

This paper cites Analyzing viewport prediction under different VR interactions,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Analyzing viewport prediction under different VR interactions,

Reference 11

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verified fuzzy
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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 7b1ed950-6b3e-4a94-925c-cc6c016fa13b · outbound

This paper cites Compute-in-memory with emerging nonvolatile-memories: Challenges and prospects,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Compute-in-memory with emerging nonvolatile-memories: Challenges and prospects,

Reference 12

Resolution
verified fuzzy
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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=2026-08-15T18:05:16.601072Z digest=sha256:425b2416a62b2c263b642fd2646a3dd805e87cd1923ecb817dfeb761dd737273

Observation 4d6bf97e-001e-4d8f-b0fe-ba88b6b3fa22 · outbound

This paper cites Compute-in-Memory chips for deep learning: Recent trends and prospects,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Compute-in-Memory chips for deep learning: Recent trends and prospects,

Reference 13

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unresolved
no resolver link, observed 2026-08-15T18:05:16.606168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:16.606168Z digest=sha256:11aebc64c1b3b18b316330c35c204f20d84be7e8dedd15cb29d851bac88a2104

Observation d0851918-2b4a-480c-8f28-f8b6efdd79b7 · outbound

This paper cites An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning,

Reference 14

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verified fuzzy
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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=2026-08-15T18:05:16.611111Z digest=sha256:3ae4aa395641a9f2c3dc6cbd91f7fe063721b6a8f9c20407a20b728d7d0c7912

Observation 8a39f09a-3b33-4769-8667-91d38f3154ee · outbound

This paper cites an unresolved cited work.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-15T18:05:17.025183Z

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=2026-08-15T18:05:16.615160Z digest=sha256:bfe575911e56359bb171644c284bda0b871a1b3108bb11f3daa4acad7d924f0a

Observation c62a946c-f758-4682-b762-40f91c03f2c0 · outbound

This paper cites Mahmoud, P.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Mahmoud, P

Reference 16

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verified fuzzy
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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=2026-08-15T18:05:16.619499Z digest=sha256:9c6fbf15bb94818685d7e9710d0ca8381754b9c1b163a6dc32dc735d70b824dc

Observation c33987d7-e236-407a-ab77-f13f9671c9b1 · outbound

This paper cites Sorting networks and their applications,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Sorting networks and their applications,

Reference 17

Resolution
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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 b667d470-c237-4f6e-b4ec-080eb1bfe07b · outbound

This paper cites Bitonic sorting algorithm: A review,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Bitonic sorting algorithm: A review,

Reference 18

Resolution
verified fuzzy
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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=2026-08-15T18:05:16.628092Z digest=sha256:c3d139477eae54084538aa6c1964c7bf0d9c8b4a9d84d9f49bad75c6f3605f44

Observation 71e5b73f-8560-4a53-b0be-66b30176bbcc · outbound

This paper cites Davidson, Sameh Khamis, Mingsong Dou, and et al.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Davidson, Sameh Khamis, Mingsong Dou, and et al

Reference 19

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verified fuzzy
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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 63842f46-4dbf-4d4e-9ff3-62670b377b8f · outbound

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

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Ramulator 2.0: A modern, modular, and extensible dram simulator,

Reference 20

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verified fuzzy
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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=2026-08-15T18:05:16.638468Z digest=sha256:7e31403ad80522a9688627c535c86a39bbe1a6a777d84c88112c613bf2d6a67a

Observation 3d966a97-858f-49b0-a26e-5d75bc16461d · outbound

This paper cites Neural 3d video synthesis from multi-view video.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Neural 3d video synthesis from multi-view video

Reference 21

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:05:16.643583Z digest=sha256:c8649ad29df84d02188f00a5589116519c676dff0128c815ee79889f70be16f0

Observation a1424d04-91f6-4e07-9bb3-7248ef393c7d · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T18:05:16.897441Z

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 f75d4f3e-e1db-40c1-8a40-d36f005bdf01 · outbound

This paper cites NVIDIA Jetson AGX Orin Series,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering NVIDIA Jetson AGX Orin Series,

Reference 23

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raw_fallback, observed 2026-08-15T18:05:16.878661Z

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=2026-08-15T18:05:16.657248Z digest=sha256:1cd759f91992b9f3a721a7ce78effe982c2be3bd2bd0eb60676f6ff2bb557033

Observation 70dc4d62-8348-42d8-b6f6-5d221bf0ffd5 · outbound

This paper cites Representing Scenes as Neural Radiance Fields for View Synthesis,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Representing Scenes as Neural Radiance Fields for View Synthesis,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-15T18:05:16.855386Z

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=2026-08-15T18:05:16.662562Z digest=sha256:0fd0196076c9ff1e207ecca7caa2d3ecb098673c4b2fd6b8d3ce261a0361812b

Observation 08051698-aefc-4822-934f-b82da510149e · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-15T18:05:16.836347Z

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=2026-08-15T18:05:16.668590Z digest=sha256:c0a7c11480296395ea0921bf6ad2745b0e48a787767553e4ae62bb967ffb5482

Observation 9caafcf9-360b-450b-8b72-97f7586bfd4f · outbound

This paper cites Neural sparse voxel fields,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Neural sparse voxel fields,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-15T18:05:16.819407Z

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=2026-08-15T18:05:16.676415Z digest=sha256:97f824aaab963f37bd223851315687d6af5d9c3491ad53a81783719b9e2b6ba8

Observation 4efdfce3-f5c6-43bc-af7d-828a3333c586 · outbound

This paper cites Nerfstudio: A modular framework for neural radiance field development.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering Nerfstudio: A modular framework for neural radiance field development

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T18:05:16.803760Z

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=2026-08-15T18:05:16.681796Z digest=sha256:66c1b8368837637588036bd72992bad4099dd0c2a37b087d3ac62fc073486b42

Observation 948a6d63-7025-4660-bf0c-ff35ac7bfa4b · outbound

This paper cites NVIDIA Nsight Systems,.

3DGauCIM: Accelerating Static/Dynamic 3D Gaussian Splatting via Digital CIM for High Frame Rate Real-Time Edge Rendering NVIDIA Nsight Systems,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T18:05:16.785419Z

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=2026-08-15T18:05:16.686863Z digest=sha256:23642875fb68bdd45844bc12d21cbbdc5e34bc4635cfdc6abf9f9ee35c2c05e6

Pith citing papers

No inbound Pith citation observations are available.