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Paper Citation Record · LEDGER

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2606.29513.

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

pith.paper-citation-record.v1
2606.29513 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T07:25:31.066786Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:05:54.688296Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:05:54.721768Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2c552cf-02ff-41cd-add9-005a78a88fef · outbound

This paper cites C3G: Learning compact 3D representations with 2K gaussians.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views C3G: Learning compact 3D representations with 2K gaussians

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:1ba9205fbda92ad5c474aac6ffac4af0a46fffd173159206fbc1c7d4b9a664b4

Observation 9bc8c2f5-8db6-445f-9127-416118b2fe5e · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 2

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:a4d4cdcc1f901d8e1a8d15f60eb6749e11d8ef0ee1ce5285ab4a8551a0dc1f22

Observation a6f95fe9-b2cd-4e8f-8a2a-e4a0245380cf · outbound

This paper cites End-to-end object detection with transformers.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views End-to-end object detection with transformers

Reference 3

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:e910b59308fdb4504347d0168af2fc5ca2049d05d6f82ef12d040ffa740b6b5f

Observation d5015bf9-e2e3-4df1-a46a-e59d7b075cfa · outbound

This paper cites Lifting by gaussians: A simple, fast and flexible method for 3D instance segmentation.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Lifting by gaussians: A simple, fast and flexible method for 3D instance segmentation

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:eded9113f23bb4fabbfc8fda2985495383f13f23d1fb57982433a9d3f3863128

Observation 524f377a-869f-4a4f-a254-d822d6ff4cb0 · outbound

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

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 5

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:9fad9d998202116a402f807d63b2e4e071521c85cd92d29ee8db960e491c6e5d

Observation 2f8966ba-aca9-434c-bff0-f1713cdb7f14 · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 6

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:4ca680c61ca13686eec216893b4a3845464ab6d1f8e09fcc4216c863eb5f0db8

Observation 33771025-4bfe-4a1f-8e20-16b1bd7dcd71 · outbound

This paper cites Schwing, Alexander Kirillov, and Rohit Girdhar.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Schwing, Alexander Kirillov, and Rohit Girdhar

Reference 7

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:74e84dc0c1f50e633c008d90100435f7d1017785bb56a3655588db0dc6245974

Observation c05dd16f-6035-4cc4-8cb2-8bf448478c00 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 8

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:f85636f1ba7ec42bc5db4ef4a5abacf52ccbcd725f48df3507e047eedf83a82a

Observation ee73b5fc-7ae2-4599-86e8-90de98c9c548 · outbound

This paper cites Large spatial model: End-to-end unposed images to semantic 3d.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Large spatial model: End-to-end unposed images to semantic 3d

Reference 9

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:2285578f7744e6d2e56711e0cc142d6ead8e6ccab692879a0d68e006e56c515b

Observation 703c8053-6dad-4342-ae5d-6ab97df0e74c · outbound

This paper cites Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting

Reference 10

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verified exact
local_arxiv, observed 2026-06-30T07:34:22.080372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:ee6d99dbe58f8cf3f262e91857dbc5ab7f399aee56c80d2056a5073bc045afa5

Observation af82ab69-c39f-4f49-b6aa-69bd1905ecd0 · outbound

This paper cites Anysplat: Feed-forward 3d gaussian splatting from unconstrained views.ACM Transactions on Graphics (TOG), 44(6):1–16, 2025.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Anysplat: Feed-forward 3d gaussian splatting from unconstrained views.ACM Transactions on Graphics (TOG), 44(6):1–16, 2025

Reference 11

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:f8c1c1f7118f8bc43cd5aec9cdbe332fca6757620bc066849b285ecb407796b1

Observation d88d6897-9317-4409-9019-d30e644a4d00 · outbound

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

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 12

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:e34b43f925173fa893a6b3f80cf0e8e8c114405b0e777565e568b960cf060257

Observation 345b8c84-6815-4805-83c5-ccbad3f4c9a7 · outbound

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

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Grounding image matching in 3d with mast3r

Reference 13

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:13271fc29f2b132f017a377532758cc51ccdd5c7466362b7d06ab04b9864fe7c

Observation ba8509a7-1783-43c4-a790-b034ce69b2aa · outbound

This paper cites Language-driven semantic segmentation.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Language-driven semantic segmentation

Reference 14

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:ba2eaca69513d175e4524d4656e39cb70887a87377c8f25b5d9926470165eefb

Observation 7d672dcc-4128-43a6-8ac0-cb601b2c6da3 · outbound

This paper cites IGGT: Instance-grounded geometry transformer for semantic 3D reconstruction.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views IGGT: Instance-grounded geometry transformer for semantic 3D reconstruction

Reference 15

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:b499f4cd450ce314e3be8b0b6c03511d7a1bb882dea5b4bcd89f29dedc28a73a

Observation f3b7b5a3-1b5e-417f-9694-bc14265f3235 · outbound

This paper cites SlotLifter: Slot-guided feature lifting for learning object-centric radiance fields.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views SlotLifter: Slot-guided feature lifting for learning object-centric radiance fields

Reference 16

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:870b0a99192838435a251a3d516470114a267cabee7fa7aaa6471fd3f39d4091

Observation 3a184519-7442-4382-aef1-cd9b55bc3b0e · outbound

This paper cites Object-centric learning with slot attention.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Object-centric learning with slot attention

Reference 17

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:35d5a58af410221f1f0770acfca54eb5aa88c6d097aac0d0ee9d0daf808ba99e

Observation 95a4e091-4873-4c78-9837-1ea1f445e064 · outbound

This paper cites LUDVIG: Learning- free uplifting of 2D visual features to gaussian splatting scenes.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views LUDVIG: Learning- free uplifting of 2D visual features to gaussian splatting scenes

Reference 18

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:9cf0aa9d95b88ee5ecab875b633816641d7046ab1764f9e22601e52505c0d3ca

Observation 9cbc4155-04fc-49b6-a5af-15cffb9458bc · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 19

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:2bb355c3a19a43fcc8dba6290608a87db8f0244f5975a91b8870fc962cd8364b

Observation d5138a93-e013-4a9d-9cb5-6c0664372f7b · outbound

This paper cites Any3DIS: Class-agnostic 3D instance segmentation by 2D mask tracking.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Any3DIS: Class-agnostic 3D instance segmentation by 2D mask tracking

Reference 20

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:997fc8ba68f40e355cabc52e50b0b69c7e6a7ed4b50bd760fd5107f4b970bb90

Observation 9e5b7126-3921-45bb-bd40-283a9d56dc93 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views SAM 2: Segment Anything in Images and Videos

Reference 21

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verified exact
local_arxiv, observed 2026-06-30T07:34:22.085620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:3f78cd34f8c2861fa4fbd160fb50fc28d1aba9fd8a8575b45a7139ebad378d5e

Observation f512e97b-11ca-4877-8298-eaaf8dd33115 · outbound

This paper cites Schönberger and Jan-Michael Frahm.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Schönberger and Jan-Michael Frahm

Reference 22

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:a58099a5e518a1e7eabed9b8766f38b35762e1cfed54c26de081d955704daffa

Observation d2a1894d-dd54-44af-913b-80c4630ee8dc · outbound

This paper cites Trace3D: Consis- tent segmentation lifting via gaussian instance tracing.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Trace3D: Consis- tent segmentation lifting via gaussian instance tracing

Reference 23

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:ba409110d48a4bd37f275ee1a10c2e313a6d416c1690da2b2293c6f9843a45fd

Observation fe1cb805-0a53-4fdf-ae2d-d1684925eaec · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 24

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verified exact
local_arxiv, observed 2026-06-30T07:34:22.083023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:0434abe7293cec5336aba06044c14773f7116720135c2127134e7b984c508db5

Observation cf0eb017-9388-4e11-9045-86d263849aa0 · outbound

This paper cites Uni3R: Unified 3D reconstruction and semantic understanding via generalizable gaussian splatting from unposed multi-view images.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Uni3R: Unified 3D reconstruction and semantic understanding via generalizable gaussian splatting from unposed multi-view images

Reference 25

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:830bce9da1570573f3e6d92316ceb989bcf698c0dc3da46d53f73c4370762e02

Observation 24aa1ef5-6f99-4ced-b454-725167659a5f · outbound

This paper cites Sumner, Marc Pollefeys, Federico Tombari, and Francis Engelmann.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Sumner, Marc Pollefeys, Federico Tombari, and Francis Engelmann

Reference 26

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:71b5fbadc9c9752ca5bff0b409cf97806462714b2362fff952e30c22f23d47b1

Observation b1902f8b-32cc-49d1-9ff4-95e9f42c2939 · outbound

This paper cites Vggt: Visual geometry grounded transformer.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Vggt: Visual geometry grounded transformer

Reference 27

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:a92d749feeca3fd48e076f674c50153208f7c7c4db3dce82b31652137c117539

Observation 71b32977-b18d-4d30-ac4a-d1d241d94121 · outbound

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

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Dust3r: Geometric 3d vision made easy

Reference 28

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:d948f8cf0ffb1bad2d146ab08e5ae70620c12acacf03ebb22ad8945b8cdd0e4e

Observation c0fef94e-fc9c-47b1-ae1e-1819b0488218 · outbound

This paper cites SAM3D: Segment Anything in 3D Scenes.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views SAM3D: Segment Anything in 3D Scenes

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:22.088631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:bfa6aa2c886d1c27ba2a3083557b1014f2398d793aabecd8819622a5cc46dcdd

Observation a6b284b4-7955-46ee-a410-e287f1918c62 · outbound

This paper cites No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images

Reference 30

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:b6a2d4875e74494b0c04ea5c025b3bd1db561bdc1235d8e89c865320b9f7ffb8

Observation 45548888-0590-48c4-9054-3799e43836d1 · outbound

This paper cites Gaussian grouping: Segment and edit anything in 3d scenes.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Gaussian grouping: Segment and edit anything in 3d scenes

Reference 31

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:dbc143cc0de5b4be09ee12b5b7a0b1bf6c4915d8f1f19c5ab8a3ce74214b255d

Observation 75467a71-f315-4f43-8b59-74d134c7530f · outbound

This paper cites gsplat: An open-source library for gaussian splatting.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views gsplat: An open-source library for gaussian splatting

Reference 32

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:151d7fc9588dd47755fb187fc5ab3a798bbf49307f45cc8016d96897841a8c12

Observation b98364ff-4275-4fef-93f0-a45f32ea3ff1 · outbound

This paper cites kMaX-DeepLab: k-means mask transformer.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views kMaX-DeepLab: k-means mask transformer

Reference 33

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:2b0c1d1e926de43372a0b7dac1a06e8fc2c6c78a58cfe0c97b84528123bd89cd

Observation a0dc898f-2125-4968-beec-fb3650182909 · outbound

This paper cites Stereo magnification: Learning view synthesis using multiplane images.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Stereo magnification: Learning view synthesis using multiplane images

Reference 34

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source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:ac0d764c6c7f075cb592b9e1ed73c5b6eb3fe0ff47419745c0963d9495d31614

Observation cf253710-3ab2-44f2-946f-d24eec4e45b1 · outbound

This paper cites ObjectGS: Object-aware scene reconstruction and scene understanding via gaussian splatting.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views ObjectGS: Object-aware scene reconstruction and scene understanding via gaussian splatting

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:92a2e51b746e7354ee018b0c4bfb6db60465d47a30bc764188a23eb29c322d59

Observation 2d7fab7b-4030-45f5-8e05-c72cda092415 · outbound

This paper cites PanSt3R: Multi-view consistent panoptic segmentation.

Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views PanSt3R: Multi-view consistent panoptic segmentation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-30T07:25:31.066786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-30T07:25:31.066786Z digest=sha256:1bf0d15b342214c1570ba34a15b35bd05ec6d99c7d756fb112c82f3d7f91975b

Pith citing papers

Observation 8d8561a0-d448-435f-94dc-af822d198a6d · inbound

InstanceSplat: Instance-Aware Feed-Forward 3D Gaussian Splatting for Scene Understanding cites this paper.

InstanceSplat: Instance-Aware Feed-Forward 3D Gaussian Splatting for Scene Understanding Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views

Reference 56

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metadata mismatch
local_arxiv, observed 2026-08-10T14:05:54.727762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-10T14:05:54.688296Z digest=sha256:df82b6fac68c237000608c107b80c2c0bd2cbd8e5d9cc6f81b738914b06bdea3