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Paper Citation Record · LEDGER

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

As of 19 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 8 inbound Pith citation observations for arXiv:2506.18890.

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

pith.paper-citation-record.v1
2506.18890 v1

Coverage vector

measured 98 of 98 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:46:46.283585Z

measured 106 of 106 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:45:16.299541Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.613000Z

Reference resolution

98 of 98 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0940e99f-2635-4cd6-84dd-a4441e0be03c · outbound

This paper cites Building rome in a day.Communications of the ACM, 54(10):105–112, 2011.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Building rome in a day.Communications of the ACM, 54(10):105–112, 2011

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.787549Z digest=sha256:a63f50ba2ce9de85797dbaacf2c1a89ac3c0a73dc4443d4b4ca7ceccface6fad

Observation fae2a3e3-0692-465d-80cd-a481d7b36569 · outbound

This paper cites Layer Normalization.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Layer Normalization

Reference 2

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no resolver link, observed 2026-08-15T18:46:45.793743Z

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source=pdf_text observed=2026-08-15T18:46:45.793743Z digest=sha256:43269906faed31bd226d28b78b3cb32ba4ce70ca6546013e6afbd6935530cb0d

Observation 0ef6e83e-e804-4c69-8b38-db47aa8e4c42 · outbound

This paper cites Hexplane: Afastrepresentationfordynamicscenes.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Hexplane: Afastrepresentationfordynamicscenes

Reference 3

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no resolver link, observed 2026-08-15T18:46:45.799663Z

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source=pdf_text observed=2026-08-15T18:46:45.799663Z digest=sha256:8f25f6d2a09cf15c2316789372a08f6f2d6963a2d1944cd7445eecc9dbda70a6

Observation 4133e0e7-8424-463f-89c7-f9708e9789ce · outbound

This paper cites Efficient geometry- aware 3d generative adversarial networks.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Efficient geometry- aware 3d generative adversarial networks

Reference 4

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no resolver link, observed 2026-08-15T18:46:45.804840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.804840Z digest=sha256:dd19873939731241f97c1bd73e4ab361feb5e0ee2cf0d49455d3cc64cc759e4f

Observation b84b6ced-95dc-4cd3-a83d-ab221d0ea5a9 · outbound

This paper cites Hardware-constrained hybrid coding of video imagery.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Hardware-constrained hybrid coding of video imagery

Reference 5

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no resolver link, observed 2026-08-15T18:46:45.810050Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.810050Z digest=sha256:d4f6ffa9f2229d1495eb1a16ea8d3f4886d7a8b865a5133b61da53dcd1faeed0

Observation 27b9c869-53e2-49ef-8c4b-f6030bcfe956 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 6

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no resolver link, observed 2026-08-15T18:46:45.815102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.815102Z digest=sha256:b82bc7adf33644996b9ce2456657d02db1dc4ba56dcf97e6a4bf55609d36f7fc

Observation 8a2ee073-afcb-4162-8783-a9f5d2eb5f3a · outbound

This paper cites Mvsnerf: Fastgeneralizableradiancefieldreconstructionfrommulti-viewstereo.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Mvsnerf: Fastgeneralizableradiancefieldreconstructionfrommulti-viewstereo

Reference 7

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no resolver link, observed 2026-08-15T18:46:45.820869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.820869Z digest=sha256:7660ff48e5755a94270a4f5ebcc245d3385f76f7d94f5071cd2ccf2957b6ec1d

Observation 3da0d0f9-25f8-42a4-8eae-5383f4b5b746 · outbound

This paper cites Tensorf: Tensorial radiance fields.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Tensorf: Tensorial radiance fields

Reference 8

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no resolver link, observed 2026-08-15T18:46:45.826168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.826168Z digest=sha256:5b3efc84e7bd01c38a1b6c9c78f26705d24fefa32750379585ccbf4aef7b38cd

Observation 67538d62-8c77-4821-bbd9-7f7a0f4e0b6a · outbound

This paper cites Photographic image synthesis with cascaded refinement networks.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Photographic image synthesis with cascaded refinement networks

Reference 9

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no resolver link, observed 2026-08-15T18:46:45.831096Z

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source=pdf_text observed=2026-08-15T18:46:45.831096Z digest=sha256:817b1e1fb189abb9ac0583e3199cde7c7d85c7d5cc2bb62d2839e0a3c2d91ef6

Observation f517f0b3-d514-4047-b614-39af702292cd · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Training Deep Nets with Sublinear Memory Cost

Reference 10

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no resolver link, observed 2026-08-15T18:46:45.836234Z

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source=pdf_text observed=2026-08-15T18:46:45.836234Z digest=sha256:faf55e31d8d4b1418f84faaee6ec95d7bdad490f8f33f52b0990f759d92e2d47

Observation 7486e9d4-913d-4b36-a4f0-c742ab514417 · outbound

This paper cites One-minute video generation with test-time training.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time One-minute video generation with test-time training

Reference 11

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no resolver link, observed 2026-08-15T18:46:45.841939Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.841939Z digest=sha256:e641557c28db3c56c71d29112eaea975d3d793cf96d863d629eef01cd0ac4ea2

Observation 67c3f808-fc55-4e2e-a4a1-1cadd7cceaf3 · outbound

This paper cites Flashattention-2: Faster attention with better parallelism and work partitioning.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Flashattention-2: Faster attention with better parallelism and work partitioning

Reference 12

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no resolver link, observed 2026-08-15T18:46:45.847050Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.847050Z digest=sha256:2e434fd39401e37fe23dd4e22b61afd3015f010c4d2bd13a18ab7dd8f01eb38d

Observation 899458a1-d8a1-48e2-bd1b-897e8d2b0ab1 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Objaverse: A universe of annotated 3d objects

Reference 13

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no resolver link, observed 2026-08-15T18:46:45.852032Z

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source=pdf_text observed=2026-08-15T18:46:45.852032Z digest=sha256:c80a2651b9c5676aa855d605b0abb77754893c9389b1b49353560cf228382682

Observation 35689c61-5ffc-46e8-be77-4e5ebf631868 · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Objaverse-xl: A universe of 10m+ 3d objects

Reference 14

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no resolver link, observed 2026-08-15T18:46:45.856975Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.856975Z digest=sha256:664717aadfff9dfc986eb0db2982b7ac3f123453f9b4344f4a92e6211a080754

Observation 56262602-e9cb-4fe0-9f9c-30e6eb3158d0 · outbound

This paper cites Depth-supervised nerf: Fewer views and faster training for free.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Depth-supervised nerf: Fewer views and faster training for free

Reference 15

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no resolver link, observed 2026-08-15T18:46:45.861822Z

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source=pdf_text observed=2026-08-15T18:46:45.861822Z digest=sha256:0e4416f766765e43d4d3a88bc3e1f7839848cac5aafe322521355cd1299f222a

Observation eb034f44-b3e4-478e-953a-3f06b3bd082b · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time An image is worth 16x16 words: Transformers for image recognition at scale

Reference 16

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no resolver link, observed 2026-08-15T18:46:45.866642Z

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source=pdf_text observed=2026-08-15T18:46:45.866642Z digest=sha256:4f187b91471aa64d4442a07f8346e3d244866c9a2d851a2ea3cbe699794be67a

Observation dcbaaf82-bbc1-4257-bc24-7d3062249d19 · outbound

This paper cites Google scanned objects: A high-quality dataset of 3d scanned household items.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Google scanned objects: A high-quality dataset of 3d scanned household items

Reference 17

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no resolver link, observed 2026-08-15T18:46:45.871566Z

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source=pdf_text observed=2026-08-15T18:46:45.871566Z digest=sha256:4bd8aa008ecdc1516177aa48da84d5442697316fa7efe180b5083d42cc280639

Observation 2f2ec8fc-ceb2-4f33-9f79-217ff2afd8f5 · outbound

This paper cites Deformgs: Scene flow in highly deformable scenes for deformable object manipulation.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Deformgs: Scene flow in highly deformable scenes for deformable object manipulation

Reference 18

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no resolver link, observed 2026-08-15T18:46:45.876280Z

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source=pdf_text observed=2026-08-15T18:46:45.876280Z digest=sha256:8661e6b323b0d1aa23a7fa51fc66f8e23ff9cc63e2af5c16852e6e90e80bd455

Observation c39224ce-7974-40f5-9efc-fdca41d4b087 · outbound

This paper cites St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World

Reference 19

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no resolver link, observed 2026-08-15T18:46:45.881830Z

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source=pdf_text observed=2026-08-15T18:46:45.881830Z digest=sha256:01320ada917254da6c0dca9cd351e4054a8729a0322428279698d39ac65c9e37

Observation ad1bb2a1-2ba1-493d-a130-d9895f5735b3 · outbound

This paper cites K-planes: Explicit radiance fields in space, time, and appearance.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time K-planes: Explicit radiance fields in space, time, and appearance

Reference 20

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no resolver link, observed 2026-08-15T18:46:45.887314Z

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source=pdf_text observed=2026-08-15T18:46:45.887314Z digest=sha256:03cb15428093077e61952740339538cfb76ff2d808fdf2d8d349da71c9ff532c

Observation 755bf913-c4b2-4cda-80a7-76313d82bea4 · outbound

This paper cites Accurate, dense, and robust multiview stereopsis.IEEE transactions on pattern analysis and machine intelligence, 32(8):1362–1376, 2009.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Accurate, dense, and robust multiview stereopsis.IEEE transactions on pattern analysis and machine intelligence, 32(8):1362–1376, 2009

Reference 21

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source=pdf_text observed=2026-08-15T18:46:45.892019Z digest=sha256:427fcfc2d772b34cf3722c321265a2f3735769bab4dcccaea17e0e8ba0d738d9

Observation efca2e03-b3c8-4f9f-ba39-a62919da4a80 · outbound

This paper cites GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation

Reference 22

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source=pdf_text observed=2026-08-15T18:46:45.897300Z digest=sha256:f72a8139608e35aae961d1b89b1592701eec2a9ac462d9e5130e66575707eb79

Observation b05d0e39-b257-4cd7-89bc-d627cacd7fc2 · outbound

This paper cites Deep residual learning for image recognition.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Deep residual learning for image recognition

Reference 23

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source=pdf_text observed=2026-08-15T18:46:45.902890Z digest=sha256:c0d9b17b144696cbd7a908648b037d2763e8135374732c3e05c4a97243b0cbac

Observation b309bdd0-cac8-4fef-985c-4a08617b9d5a · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Lrm: Large reconstruction model for single image to 3d

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.869429Z

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=2026-08-15T18:46:45.907964Z digest=sha256:67355f9cf8345a59475fd06a1fc49555f39afed5ba9e9e2d45f8c4444f85b29b

Observation 8846298d-5a7f-4299-bae1-39976a2a975f · outbound

This paper cites 2d gaussian splatting for geometrically accurate radiance fields.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time 2d gaussian splatting for geometrically accurate radiance fields

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.852319Z

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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=2026-08-15T18:46:45.912920Z digest=sha256:2f58a0089a772e13dc20df6688fb4dc1d9a9560af9a748a4c72132d00f62e42d

Observation 6031207c-193e-4b89-9004-6fc3f0c19e67 · outbound

This paper cites Real3D: Scaling Up Large Reconstruction Models with Real-World Images.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Real3D: Scaling Up Large Reconstruction Models with Real-World Images

Reference 26

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source=pdf_text observed=2026-08-15T18:46:45.917919Z digest=sha256:3d65da9b4648e2eff1b542a6ca583515dba5a9005fe2fcd812406250b89498d6

Observation 52cf2272-c801-4059-8cc6-e95862f667ee · outbound

This paper cites RayZer: A Self-supervised Large View Synthesis Model.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time RayZer: A Self-supervised Large View Synthesis Model

Reference 27

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no resolver link, observed 2026-08-15T18:46:45.923317Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.923317Z digest=sha256:2c3a4f4f745edfe3cf597df9eee5cdac99cbe115f575dbeeadfb20f7a0c548d8

Observation c1d9cb4b-081e-4c55-8aa0-ed2eb6328250 · outbound

This paper cites Consistent4d: Consistent 360° dynamic object generation from monocular video.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Consistent4d: Consistent 360° dynamic object generation from monocular video

Reference 28

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unresolved
no resolver link, observed 2026-08-15T18:46:45.928663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.928663Z digest=sha256:0253589023dc6be617094de1e514b9f2d4cdf67dade1de816c18c220273b6a3d

Observation 2e156514-2563-4708-8998-67d39af67ac5 · outbound

This paper cites LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

Reference 29

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no resolver link, observed 2026-08-15T18:46:45.932889Z

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source=pdf_text observed=2026-08-15T18:46:45.932889Z digest=sha256:5ca6286d7a7d756e758392e500d7cc643b294489a8b68f3deae8c5027b568b1e

Observation 05d94ca5-6820-4ea7-a8a0-b1e07d663e8c · outbound

This paper cites Geonerf: Generalizing nerf with geometry priors.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Geonerf: Generalizing nerf with geometry priors

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.823923Z

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=2026-08-15T18:46:45.937667Z digest=sha256:624bf230b6c471b5e7d0b6402aebad5515a044859a82e1a8a38366d445fec018

Observation 7cddecc9-a347-428d-8a64-9f6921927883 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):1–14, 2023.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42(4):1–14, 2023

Reference 31

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no resolver link, observed 2026-08-15T18:46:45.941992Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T18:46:45.941992Z digest=sha256:6641b538104968d9b10383c78fecdae17857d323af0a53603b3326219e1919f4

Observation 3a875d33-9976-4305-adff-485ff99c8329 · outbound

This paper cites Robotseerobotdo: Imitatingarticulatedobjectmanipulationwithmonocular 4d reconstruction.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Robotseerobotdo: Imitatingarticulatedobjectmanipulationwithmonocular 4d reconstruction

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.794603Z

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=2026-08-15T18:46:45.946366Z digest=sha256:1d1d465b0dc6ebec0b7a9856f0c42ca8efab0f415a9ee6cdc7c09a71c4602433

Observation 763b3510-3248-4b46-b4b8-146330168672 · outbound

This paper cites Dynmf: Neural motion factorization for real-time dynamic view synthesis with 3d gaussian splatting.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Dynmf: Neural motion factorization for real-time dynamic view synthesis with 3d gaussian splatting

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.777159Z

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=2026-08-15T18:46:45.951202Z digest=sha256:78a0bebd95c98e367e535330f14cc47c55dd717424934ad15a0d2450da0f1f7f

Observation ebb36897-4835-4294-9f8c-826bdb560d9c · outbound

This paper cites xformers: A modular and hackable transformer modelling library.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time xformers: A modular and hackable transformer modelling library

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.760650Z

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=2026-08-15T18:46:45.956042Z digest=sha256:2b2e3eac7677f90a00fa6c2392dcdd09cf4ac94c035cdbd9d9f6f6b381b684bb

Observation cca0c874-fda2-48c5-80f6-75d765997468 · outbound

This paper cites Grounding image matching in 3d with mast3r.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Grounding image matching in 3d with mast3r

Reference 35

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unresolved
no resolver link, observed 2026-08-15T18:46:45.961237Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.961237Z digest=sha256:560cc0397c8e09d5d980006d92a1e7a7b1ef826c0f3655d809987b47d027a56e

Observation 46b8f891-f251-4308-bbb3-e14a57b0febb · outbound

This paper cites Vivid-zoo: Multi-view video generation with diffusion model.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Vivid-zoo: Multi-view video generation with diffusion model

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.732987Z

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=2026-08-15T18:46:45.966414Z digest=sha256:b84c7ba7289cb3cc3e7f549c30cf83b0332b967851e47dca99feddcd56dead78

Observation 8b290401-14ed-4b40-bc84-9cc65defc64f · outbound

This paper cites Instant3d: Fast text-to-3d with sparse-view generationandlargereconstructionmodel.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Instant3d: Fast text-to-3d with sparse-view generationandlargereconstructionmodel

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.715623Z

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=2026-08-15T18:46:45.971399Z digest=sha256:29e337cf4c5b1be2f8d033cdaad1363663911dd4d4a80bdbe1e4017296739a90

Observation 05f1bd72-bac6-4c28-ba6a-8cdac6acf6ae · outbound

This paper cites Diffusion4d: Fast spatial-temporal consistent 4d generationviavideodiffusionmodels.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Diffusion4d: Fast spatial-temporal consistent 4d generationviavideodiffusionmodels

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.698098Z

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=2026-08-15T18:46:45.976278Z digest=sha256:585609d0ea4da7330cc7bea167ee6d59eca64a7dedc42ce0f52d740a5ef2d1e0

Observation ee2ec805-fc29-485a-9354-75fadcac64cb · outbound

This paper cites Feed-forward bullet-time reconstruction of dynamic scenes from monocular videos.arXiv preprint arXiv:2412.03526, 2024.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Feed-forward bullet-time reconstruction of dynamic scenes from monocular videos.arXiv preprint arXiv:2412.03526, 2024

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:45.981232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:45.981232Z digest=sha256:4e609731d0ecf1609e275ac06de641762cd07832213ded92420c754ae744d589

Observation ba134d5c-693c-4664-ac9e-6a00d325639d · outbound

This paper cites Gaufre: Gaussian deformation fields for real-time dynamic novel view synthesis.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Gaufre: Gaussian deformation fields for real-time dynamic novel view synthesis

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.680541Z

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=2026-08-15T18:46:45.986164Z digest=sha256:9591201ab84f2e2a1816b4b47ffe45dc44602d0e0f50327aff56ed804d3a32d7

Observation a625db7f-22a2-416d-a609-2092b3be419b · outbound

This paper cites Sparseneus: Fast generalizable neural surface reconstruction from sparse views.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Sparseneus: Fast generalizable neural surface reconstruction from sparse views

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.662549Z

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=2026-08-15T18:46:45.990948Z digest=sha256:9b5adb7c14ee4afd7cc79bbb51a670b8d9342939675465bb748b09490ff96a9a

Observation 03b9a9eb-7bd4-45aa-8a33-3d427fcb7728 · outbound

This paper cites InProceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 17724–17734, 2023.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time InProceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 17724–17734, 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.645352Z

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=2026-08-15T18:46:45.996309Z digest=sha256:351586a823c1f705bb46d86ad54e29830b6acaba8218e9c66ddcc4c0263e3e28

Observation 0107cc08-7775-4caf-935e-42dec3ad2ad7 · outbound

This paper cites Mixed precision training.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Mixed precision training

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.628052Z

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=2026-08-15T18:46:46.001875Z digest=sha256:d76cff46cdca310f4ad61105452a7d65beb333e4d90a06fb67807fab8c05867b

Observation ea905ab4-6c6f-4abd-b2b6-b3992eb3a88f · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Srinivasan, Matthew Tancik, Jonathan T

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.611248Z

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=2026-08-15T18:46:46.006811Z digest=sha256:f8380293622e078f0814adc5a98fdb6b72e3357156a9870f1015f99d8aecf1d5

Observation b0ca576e-5918-4999-afcc-cc191561f023 · outbound

This paper cites Efficient4d: Fastdynamic3dobjectgeneration from a single-view video.arXiv preprint arXiv 2401.08742, 2024.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Efficient4d: Fastdynamic3dobjectgeneration from a single-view video.arXiv preprint arXiv 2401.08742, 2024

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.011440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.011440Z digest=sha256:0c44f06d05c5ad6334eec47dd99053cef367c2ee886b975d3b3166493060515a

Observation 7fa645bb-6504-4e36-bdd6-aa1345439318 · outbound

This paper cites Deepsdf: Learningcontinuoussigneddistancefunctionsforshaperepresentation.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Deepsdf: Learningcontinuoussigneddistancefunctionsforshaperepresentation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.593237Z

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=2026-08-15T18:46:46.016199Z digest=sha256:47cbe5c13ed1b5f46888984481c515fd3a5bc7e27a12c95f85bc69a58f4e0b66

Observation dbb97b43-a37a-409e-9063-fb2f296a1196 · outbound

This paper cites Nerfies: Deformable neural radiance fields.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Nerfies: Deformable neural radiance fields

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.021061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.021061Z digest=sha256:b2a38ce3991c60c9b1d8abc42869aa8473d0aa924673c3366bbe8ddc1e0b32b7

Observation 3dd0ea5b-6b7b-445e-9ec8-4d45abc8dc81 · outbound

This paper cites an unresolved cited work.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:46:47.564833Z

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=2026-08-15T18:46:46.026148Z digest=sha256:e34bd1b40661a378b2d09b1245ac9447b3a55fd6dc2706f938d787dd6b793016

Observation 0723195e-03c3-4e1d-87ce-7f1df40c894b · outbound

This paper cites Visual modeling with a hand-held camera.International Journal of Computer Vision, 59:207–232, 2004.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Visual modeling with a hand-held camera.International Journal of Computer Vision, 59:207–232, 2004

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.548556Z

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=2026-08-15T18:46:46.031340Z digest=sha256:4b15d327258483b53c354ff7eb9c3f63fd226397ddafd8f4cdcd62561266da3b

Observation f24d6080-62f8-4267-95aa-1af484400bc6 · outbound

This paper cites Detailed real-time urban 3d reconstruction from video.International Journal of Computer Vision, 78:143–167, 2008.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Detailed real-time urban 3d reconstruction from video.International Journal of Computer Vision, 78:143–167, 2008

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.532304Z

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=2026-08-15T18:46:46.036336Z digest=sha256:27dc2c43fcbd36820ebac149634d86a64d249eaddd2e7fff5e07846ccae738b3

Observation c19f7adf-c7f3-4830-9b57-9ac88c2620a9 · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time D-nerf: Neural radiance fields for dynamic scenes

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.041426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.041426Z digest=sha256:ced507563b960f24e454dd25f8ce05ee73b8aca1d3d7fc076fdb001caa8fd5c2

Observation 62cc212a-f3ef-464d-8bbe-fbfed3ce9a1a · outbound

This paper cites DreamGaussian4D: Generative 4D Gaussian Splatting.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time DreamGaussian4D: Generative 4D Gaussian Splatting

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.046307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.046307Z digest=sha256:f3061a9a650434024128fa98e3c4b934662b8e05e56e45623a32b4b38634ef6d

Observation 357ec880-0774-47b2-9eea-eeb626551d95 · outbound

This paper cites L4gm: Large 4d gaussian reconstruction model.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time L4gm: Large 4d gaussian reconstruction model

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.504802Z

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=2026-08-15T18:46:46.051326Z digest=sha256:2d170a2b307cc533f23e7f7637cb950f2b253082c48287e723a4b28fa6388bf7

Observation f345c784-b63a-486c-85d0-aef8091b133f · outbound

This paper cites Structure-from-motion revisited.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Structure-from-motion revisited

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.057750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.057750Z digest=sha256:bd515af03b77ffd2a43b4929b780775c4f72bafcfa3c3a3348625014aeeb9540

Observation d5bfeddb-a126-46e5-ac32-fa26b1ed625a · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Pixelwise view selection for unstructured multi-view stereo

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.476722Z

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=2026-08-15T18:46:46.062782Z digest=sha256:bf5a31d759f5172346803ec0728c56124b86009494fc63b0cf4968eafebb194b

Observation 1d82e5dd-ab94-4553-b2c0-c760c94a92d7 · outbound

This paper cites an unresolved cited work.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:46:47.460437Z

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=2026-08-15T18:46:46.067749Z digest=sha256:c45aec719e0020394fce764a2e9605c7bd70819a0c46d0511d49cf6308559852

Observation c2930141-bce1-4c29-abc7-92d79487957a · outbound

This paper cites Phototourism: exploringphotocollections in 3d.ACM Transactions on Graphics (TOG), 25(3):835–846, 2006.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Phototourism: exploringphotocollections in 3d.ACM Transactions on Graphics (TOG), 25(3):835–846, 2006

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.444319Z

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=2026-08-15T18:46:46.072599Z digest=sha256:011c4ff8ffaec6188bb97eed6e7bb8df3b42dd6caa8f3cf983a5b48faa8cc088

Observation 96e51965-906d-475e-a32a-a4ffd94a40b2 · outbound

This paper cites Generalizable patch-based neural rendering.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Generalizable patch-based neural rendering

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.428180Z

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=2026-08-15T18:46:46.077783Z digest=sha256:9e37347cf33e57646cb1d5380608bd41b0e94f1cf1fbb4d2ff48874013d6bc81

Observation 21504ea4-3991-4c33-a528-eac9af13b1ad · outbound

This paper cites Light field neural rendering.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Light field neural rendering

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.412763Z

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=2026-08-15T18:46:46.083406Z digest=sha256:a7f5a2ea4faf9390c54eebec8ed5795d9fbafda88e034e9292d4b7781c8fe618

Observation 215cd69b-6d00-4106-91dc-b07230a540e8 · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.396051Z

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=2026-08-15T18:46:46.088597Z digest=sha256:ebfda37f4d34b8b3b00541c6f02f83078e00e7b37fcc11b1bc2613d7e568483a

Observation b182527d-9709-416e-a51e-a69300b24f7e · outbound

This paper cites Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.379143Z

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=2026-08-15T18:46:46.093727Z digest=sha256:fc1969394f62159ac273c0412caf7455ae37cd82a918bae04fbb79adc96cfbd0

Observation ea176186-b0dd-48ab-a576-6c6e766b8073 · outbound

This paper cites Mononerf: Learning a generalizable dynamic radiancefieldfrommonocularvideos.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Mononerf: Learning a generalizable dynamic radiancefieldfrommonocularvideos

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.362154Z

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=2026-08-15T18:46:46.098765Z digest=sha256:35ada6bde729e5cca1c36e7a69f180eb2e2544b33ec1def757e33e5fa0d2a948

Observation c57a507c-845b-48f0-8032-75ad03150df7 · outbound

This paper cites Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.343808Z

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=2026-08-15T18:46:46.103169Z digest=sha256:4d7378a7fa3c1475d5a5995b9d5994713fe8dfd99a2386ac76881676b3479d69

Observation 1c227b22-429f-49f4-b41e-7ee62356223a · outbound

This paper cites Attention is all you need.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Attention is all you need

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.325593Z

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=2026-08-15T18:46:46.107745Z digest=sha256:4de2d8bfc905fe3a36a73dce60f48771fd43ad818b9ef822646e5941c24b4313

Observation 1a256947-6f9f-432a-8f66-8351f4685c99 · outbound

This paper cites Sv3d: Novel multi-view synthesis and 3d generation from a single image using latent video diffusion.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Sv3d: Novel multi-view synthesis and 3d generation from a single image using latent video diffusion

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.306506Z

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=2026-08-15T18:46:46.112559Z digest=sha256:0d207050863dc1a6631a5eaf7b733c68267f69b17fa3931c33268b2972a1642b

Observation 8b98b2cb-f56d-4d84-9f39-56e45c6b265d · outbound

This paper cites Vggt: Visual geometry grounded transformer.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Vggt: Visual geometry grounded transformer

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.289923Z

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=2026-08-15T18:46:46.116865Z digest=sha256:2b8ddaf28f50fc5b3b844cf379766706d03a9b76bab90e092a6d04f1a799ed51

Observation dfd48367-dd0c-4632-9c08-9dedc968a75c · outbound

This paper cites Pf-lrm: Pose-free large reconstruction model for joint pose and shape prediction.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Pf-lrm: Pose-free large reconstruction model for joint pose and shape prediction

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.272797Z

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=2026-08-15T18:46:46.122025Z digest=sha256:412994a2962f292c6f4040306020611c39cfe87529ef6fae4a215475de1cac88

Observation 4dfef906-e353-479a-ad79-e7310f31cb89 · outbound

This paper cites Ibrnet: Learning multi-view image-based rendering.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Ibrnet: Learning multi-view image-based rendering

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.254781Z

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=2026-08-15T18:46:46.126472Z digest=sha256:07bd730917b6786462a1b1c0f122cc68fa6febe1579fb0d79a000c940397d6f5

Observation 96735bca-254d-4537-b66a-0eb722cb3f71 · outbound

This paper cites Shape of motion: 4d reconstruction from a single video.arXiv preprint arXiv:2407.13764, 2024.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Shape of motion: 4d reconstruction from a single video.arXiv preprint arXiv:2407.13764, 2024

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.130790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.130790Z digest=sha256:4781ebafa098da02a5b4751875104ccc502ea8866f93297fdb4615938a7ad247

Observation 2c551e92-ff93-4532-bf1c-5801b510ec27 · outbound

This paper cites Continuous 3d perception model with persistent state.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Continuous 3d perception model with persistent state

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.237127Z

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=2026-08-15T18:46:46.135920Z digest=sha256:77370a15d4e2727b7db6131cf2c0be4b484850da0ac519baed2d0b9517f9d631

Observation 9d5ccbe2-52ce-4aeb-bbcc-a9856a16a93a · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Dust3r: Geometric 3d vision made easy

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.140960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.140960Z digest=sha256:fe7755d91ac2da649e0b4d46aea030e8d40c4d9aaab0189a9334754c236d4e17

Observation 6857d84e-9c56-4e72-9306-eeb1d71c1d9a · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4): 600–612, 2004.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4): 600–612, 2004

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.146379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.146379Z digest=sha256:a0c67eeb423236661d31511bc852c33ccb32e21c71c8f27c1beda966f335621c

Observation e9b10987-867e-4181-85c2-61fdd74d57eb · outbound

This paper cites Controlling space and time with diffusion models.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Controlling space and time with diffusion models

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.190482Z

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=2026-08-15T18:46:46.151789Z digest=sha256:f027a003684d347847b2819a5e2b18ee1ceb10531f04f3c284837267ec8a15da

Observation 0f521d0e-891a-4567-b5d4-f26e97fd057e · outbound

This paper cites MeshLRM: Large Reconstruction Model for High-Quality Meshes.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time MeshLRM: Large Reconstruction Model for High-Quality Meshes

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.156993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.156993Z digest=sha256:bb4e5e1ddd7c710af580020f371453d1ff3b21d149ed8986fa73e7e14781653e

Observation b0e28593-fe61-4e95-8bf8-c12892124d95 · outbound

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

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time 4d gaussian splatting for real-time dynamic scene rendering

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.163159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.163159Z digest=sha256:aa0d909ded4bab2ae4630042dc6ec122d46d2862eeee753c9a87f936b3fe8da9

Observation 5a5fa93c-bd72-41c0-a5ad-68f430f68bc7 · outbound

This paper cites CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.168232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.168232Z digest=sha256:631f0f548e95ec1d48dd583f0d5008e9659f81493f65fe6e2cfe4c72a2655c45

Observation eb602a69-6911-4213-8add-d2088d313c5d · outbound

This paper cites Lrm-zero: Training large reconstruction models with synthesized data.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Lrm-zero: Training large reconstruction models with synthesized data

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.161845Z

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=2026-08-15T18:46:46.173441Z digest=sha256:c49d4d7caf41db82492bc6cb607680acb361312d6c4d01e3e1f3a4077c700fb6

Observation d118a411-0f22-482f-9599-8a02309048f2 · outbound

This paper cites SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time SV4D: Dynamic 3D Content Generation with Multi-Frame and Multi-View Consistency

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.178097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.178097Z digest=sha256:ccf54891dcc47fd853543d1292e7637af72e751934a7c1626a95f9dd88cf7a5d

Observation 17953bf1-b25f-4916-9261-d71cd22e96b8 · outbound

This paper cites Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.140887Z

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=2026-08-15T18:46:46.183484Z digest=sha256:31460d1e0f3b9ef4b1142143b7c9ce92aec4c95f4acc32b511c4c56746dc4fb8

Observation 34953b7b-d216-4d90-ba47-23b59ac0e28e · outbound

This paper cites Fast3r: Towards 3d reconstruction of 1000+ images in one forward pass.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Fast3r: Towards 3d reconstruction of 1000+ images in one forward pass

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.122126Z

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=2026-08-15T18:46:46.188320Z digest=sha256:25c34f0aeb03c5ec09e3b8c5df91e561e5a4b7a40b280a70f0af198e69de68aa

Observation d04b6b78-fc8a-4454-906b-5fa82b222eef · outbound

This paper cites Storm: Spatio-temporal reconstruction model for large-scale outdoor scenes.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Storm: Spatio-temporal reconstruction model for large-scale outdoor scenes

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.104390Z

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=2026-08-15T18:46:46.193526Z digest=sha256:7dc3a6a196e7c7d41e2d604e265ecf578f07d5bda8edf3dc643fa449ac282dec

Observation 18222852-9626-4c42-9a91-cde7785b2f1c · outbound

This paper cites Real-time photorealistic dynamic scene representationandrenderingwith4dgaussiansplatting.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Real-time photorealistic dynamic scene representationandrenderingwith4dgaussiansplatting

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.086679Z

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=2026-08-15T18:46:46.199198Z digest=sha256:01e9bedba0c7232f1416fa836be6609ac5c4aaef547bc91a0b762bcf0b7b5df8

Observation d60036bb-a32c-4128-bc11-b9c7a5684d29 · outbound

This paper cites SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generation.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D Generation

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.204844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.204844Z digest=sha256:fea2cd7e7df42e839fb4979fc66942fdc3c5101b63ea2a3bd52c29664f668f3b

Observation 570a1b81-2958-405c-88a8-9492901d6c36 · outbound

This paper cites Neural cages for detail-preserving 3d deformations.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Neural cages for detail-preserving 3d deformations

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.068185Z

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=2026-08-15T18:46:46.210720Z digest=sha256:a4d8c7a6281381ac436b8a59ee3482eea8f55668623aae3d3a55a3cead3849cc

Observation 959f6708-b342-4f80-8d13-1cf99554062c · outbound

This paper cites 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time 4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.215706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.215706Z digest=sha256:e3fa2d31f167f464e77d15889da955ccf25064f55b7e72e203e1c31bacf05e84

Observation f2135c26-8969-4b85-8e28-d93e9b7bd7ea · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time pixelnerf: Neural radiance fields from one or few images

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.221553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.221553Z digest=sha256:a9ebc08af4b35f8d9b26588e67cc1e8f2ff496f2ec9a210219b0413718de1385

Observation df2cb3f3-ce55-4404-97ca-46145d80f296 · outbound

This paper cites Mip-splatting: Alias-free 3d gaussian splatting.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Mip-splatting: Alias-free 3d gaussian splatting

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.226502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.226502Z digest=sha256:e295992a8361c17d657d1251ff41bf076d548ef970c61b7174b1b95321288cb2

Observation ad0de8c2-dd7e-44fb-a74d-f8e9773ce3ce · outbound

This paper cites Stag4d: Spatial-temporal anchored generative 4d gaussians.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Stag4d: Spatial-temporal anchored generative 4d gaussians

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.025348Z

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=2026-08-15T18:46:46.231970Z digest=sha256:3209b1535e9c1f49a076498bcc8cef6aa03f3581aee2efbda4cab2455ab5cd14

Observation 340551ee-8312-49d9-899f-342668555cf7 · outbound

This paper cites 4diffusion: Multi-view video diffusion model for 4d generation.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time 4diffusion: Multi-view video diffusion model for 4d generation

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:47.007496Z

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=2026-08-15T18:46:46.237752Z digest=sha256:10ef764880d782e75c141a9a36c41eb00c34c3a90fe48a46e82f476c785d656e

Observation 46185d18-90d1-4776-af91-0e0a562f4b25 · outbound

This paper cites Monst3r: Asimpleapproachforestimatinggeometryinthe presence of motion.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Monst3r: Asimpleapproachforestimatinggeometryinthe presence of motion

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:46.986914Z

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=2026-08-15T18:46:46.242982Z digest=sha256:161dd60f4bfe851a84370355abd060a359256c5718165e6ebf4f08a2990b34fe

Observation af580e65-9c7b-406b-a01f-a869e515e0d7 · outbound

This paper cites Arf: Artistic radiance fields.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Arf: Artistic radiance fields

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:46.967089Z

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=2026-08-15T18:46:46.248037Z digest=sha256:f169d7f45d41c9e39a59aa97da9258a3a7c349ab3bc64f06b47cabb5772ff69a

Observation a48019bf-6760-483a-acae-96d1bb97114f · outbound

This paper cites Gs-lrm: Large reconstruction model for 3d gaussian splatting.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Gs-lrm: Large reconstruction model for 3d gaussian splatting

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:46.949522Z

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=2026-08-15T18:46:46.253403Z digest=sha256:08f74e7e549a8e9b496ea973e138c4cffb75fede3db838a258411639aa8ac2ea

Observation eabfd8c9-ad7e-4f93-809e-000b775206ac · outbound

This paper cites Theunreasonable effectiveness of deep features as a perceptual metric.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Theunreasonable effectiveness of deep features as a perceptual metric

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:46.931311Z

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=2026-08-15T18:46:46.258482Z digest=sha256:d64edbc78207aea049e7db0a78349dc66721e554e6d7086c885745ddbb4e53ae

Observation 784135fd-4ed2-4a03-95b9-c54a0dcfefaf · outbound

This paper cites Test-Time Training Done Right.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Test-Time Training Done Right

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.263199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.263199Z digest=sha256:c98dd814adc1cdd0863cc4febbbb4fd49ba27230c27e5b19442a7955f73b1207

Observation 1cc8e86b-bf4c-41cb-b7a0-81c0386850ed · outbound

This paper cites Susskind, and Alex Schwing.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Susskind, and Alex Schwing

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:46.912996Z

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=2026-08-15T18:46:46.268365Z digest=sha256:2ee0a30f8f230df7e881a850a324fc83800332fa80d1388687245f1853e506c5

Observation 857aedae-a710-4d7b-82a8-ff8c69b8583d · outbound

This paper cites TesserAct: Learning 4D Embodied World Models.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time TesserAct: Learning 4D Embodied World Models

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.273244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.273244Z digest=sha256:acd416d32db94e2f14f3e88fc42c737487e1e89cd95c75d9231edf3a4fc143fe

Observation 3b140970-a13d-43be-ab82-98fc88a46a76 · outbound

This paper cites Drivable 3d gaussian avatars.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Drivable 3d gaussian avatars

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:46:46.894246Z

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=2026-08-15T18:46:46.278617Z digest=sha256:2790cda6939891ee8431bb7e3722dd0107545a59560f05c20adf4bf6e48dcca0

Observation d84ebe43-3112-4466-920f-501d32f51bf4 · outbound

This paper cites Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats.

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:46.283585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:46.283585Z digest=sha256:1589e00f737e4112f3233a59285057f3e903911c8d88c656ec8f3e9ed8f57a8b

Pith citing papers

Observation 9fd8a130-2591-408d-ae76-cb222451b105 · inbound

Advances in 4D Representation: Geometry, Motion, and Interaction cites this paper.

Advances in 4D Representation: Geometry, Motion, and Interaction 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Reference 205

Resolution
unresolved
no resolver link, observed 2026-08-04T08:45:16.299541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:45:16.299541Z digest=sha256:2738b08c0c0535dae32489824aaf6b60f3d64dafba2851a8afbee2440d295564

Observation fab77974-8f63-40ce-9536-bd783694dddf · inbound

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows cites this paper.

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:50:49.732130Z

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=2026-05-10T19:32:20.565326Z digest=sha256:f4016428f575ec1b71fc36080ed5aa6aaed4d018b4f37d23b1814c062c57fe77

Observation 73e79da8-f552-4c40-ba9f-f42fbc5e3a43 · inbound

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows cites this paper.

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Reference 49

Resolution
unresolved
no resolver link, observed 2026-07-13T09:33:39.204257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:33:39.204257Z digest=sha256:b3ddee3cc4204f055da5e7de0f8788eacf861c3c781df8790510ae23b6f600f3

Observation cb32a12d-5c4e-4fbe-affb-78c41fd6261d · inbound

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows cites this paper.

LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T16:46:06.552162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:46:06.552162Z digest=sha256:920f5431dd3ceb01ec03c06b60bf352ea1d9cf94ed6507937c01441195fedf32

Observation cfa5ad26-de76-4778-a180-06cba7a29edb · inbound

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective cites this paper.

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Reference 190

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:20:26.086626Z

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=2026-05-10T13:13:42.052386Z digest=sha256:3ecad4bcb62e18d62d7e76932942439086de52a2c825c8e946e7173a1a65f26c

Observation 7a2a05f0-44d6-439b-a631-cd198bdc1e65 · inbound

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction cites this paper.

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:12:47.242728Z

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=2026-06-28T23:07:50.491677Z digest=sha256:9c28aeeecffbf57365db7b76dc16df4cb046fbf30c10a3616bfa0167099f85e6

Observation f109f5f8-4a33-4075-81a7-f092cafa6753 · inbound

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration cites this paper.

HAT-4D: Lifting Monocular Video for 4D Multi-Object Interactions via Human-Agent Collaboration 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-01T17:05:50.615390Z

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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4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans cites this paper.

4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans 4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time

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source=arxiv_source observed=2026-08-01T04:24:27.135103Z digest=sha256:1cbb80fd014418ea8f4d3d183255adce03daac70b52f748f81bf73fb26e28b36