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Paper Citation Record · LEDGER

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval

As of 5 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.19115.

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

pith.paper-citation-record.v1
2607.19115 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:28:42.407268Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

26 of 26 outbound references displayed

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  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0870830a-f7cd-40de-b6bc-01e49a68ac89 · outbound

This paper cites Scanrefer: 3d object localization in rgb-d scans using natural language.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Scanrefer: 3d object localization in rgb-d scans using natural language

Reference 1

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source=pdf_text observed=2026-08-01T13:28:39.286633Z digest=sha256:33e82d47737ea031e0f233dc4273ccac0062cb4eb49d429a5e893aa189c2d3a3

Observation 7617525e-6502-4e84-9f78-c5d8a203ec24 · outbound

This paper cites Multi3drefer: Grounding text description to multiple 3d objects.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Multi3drefer: Grounding text description to multiple 3d objects

Reference 2

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source=pdf_text observed=2026-08-01T13:28:39.398186Z digest=sha256:53c9bd4f8e9eec81fd6195ad6b219d10c76e8b573aa98273363b95a4965d897d

Observation 59913f7c-1d99-49d3-a783-8603cd588000 · outbound

This paper cites Image retrieval on real-life images with pre-trained vision-and-language models.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Image retrieval on real-life images with pre-trained vision-and-language models

Reference 3

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source=pdf_text observed=2026-08-01T13:28:39.528280Z digest=sha256:ef3b67303a84e072320b5f542dbc4c45b9c393e83ec94da3a88e5eacc431b0f2

Observation 1cca4f9c-5298-47e7-8dcc-cee93cf69c06 · outbound

This paper cites Zero-shot composed image retrieval with textual inversion.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Zero-shot composed image retrieval with textual inversion

Reference 4

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source=pdf_text observed=2026-08-01T13:28:39.675882Z digest=sha256:cc145c355be2d98791aaabc81431ac2a8cf629b8d6b74f25631ffc15863a1ebc

Observation 7254a2ab-5857-4fd0-8ac4-9ca21928b1f2 · outbound

This paper cites Composing Text and Image for Image Retrieval - An Empirical Odyssey.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Composing Text and Image for Image Retrieval - An Empirical Odyssey

Reference 5

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source=pdf_text observed=2026-08-01T13:28:39.782804Z digest=sha256:bf9539272021d26d81a919140fc6b21bbc62dafab4066916fbcea728d7015efa

Observation 16a9d165-5614-450a-be5c-53b5dde88ea7 · outbound

This paper cites Effective conditioned and composed image retrieval combining clip-based features.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Effective conditioned and composed image retrieval combining clip-based features

Reference 6

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source=pdf_text observed=2026-08-01T13:28:39.918250Z digest=sha256:efd2f71a1e8d5f3793a0825f3fa2fb0846a55e1c55711d01ec7ada9bd56fbe64

Observation bbc903ec-637b-47e2-b7f3-8f0cebfa60bc · outbound

This paper cites Vision-by-Language for Training-Free Compositional Image Retrieval.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Vision-by-Language for Training-Free Compositional Image Retrieval

Reference 7

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source=pdf_text observed=2026-08-01T13:28:40.030166Z digest=sha256:a7355069628103d897d9aa1700455f40ff8e2df19733d277f36a96967d352e06

Observation ce7a457b-6b7c-4c74-bc47-1c9694e50564 · outbound

This paper cites Pic2word: Mapping pictures to words for zero-shot composed image retrieval.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Pic2word: Mapping pictures to words for zero-shot composed image retrieval

Reference 8

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source=pdf_text observed=2026-08-01T13:28:40.180474Z digest=sha256:6ad46708b6d406f986e0eea61e83b90c37266411791feafc661c027d0675a112

Observation 8b9756ba-0473-4e46-8cc1-8f3e7f13d6c2 · outbound

This paper cites Compodiff: Versatile composed image retrieval with latent diffusion, 2024.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Compodiff: Versatile composed image retrieval with latent diffusion, 2024

Reference 9

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source=pdf_text observed=2026-08-01T13:28:40.307489Z digest=sha256:2fcd073cd6f963c82037dfc63b733837accb673604acaf1976801fbc32ad6c97

Observation 91c3b21e-d9f5-4d32-b4b4-9d8fee6dfdcd · outbound

This paper cites Language-only Efficient Training of Zero-shot Composed Image Retrieval.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Language-only Efficient Training of Zero-shot Composed Image Retrieval

Reference 10

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source=pdf_text observed=2026-08-01T13:28:40.438064Z digest=sha256:d0295c236f1fded0048b611471cadff87a05fd53eff3a7366b9d32e5b3e45eed

Observation 47c939c2-f339-4be8-bb12-35839b2f50b7 · outbound

This paper cites PointCLIP: Point Cloud Understanding by CLIP.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval PointCLIP: Point Cloud Understanding by CLIP

Reference 11

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source=pdf_text observed=2026-08-01T13:28:40.550894Z digest=sha256:771c2d45b5f6225698cec1bc9e91ab5a624c84f39718753b6861eebcea42d3f0

Observation 44399a56-962c-4aab-baf2-d1eea2a84a52 · outbound

This paper cites Openshape: Scaling up 3d shape representation towards open-world understanding.Advances in neural information processing systems, 36:44860–44879, 2023.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Openshape: Scaling up 3d shape representation towards open-world understanding.Advances in neural information processing systems, 36:44860–44879, 2023

Reference 12

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source=pdf_text observed=2026-08-01T13:28:40.684540Z digest=sha256:6c23860d474b62a7b7700248d6c2d253ab1242104d08da041b47c21187c43333

Observation 827edf0b-279a-4246-acc1-54979f537bd6 · outbound

This paper cites Uni3D: Exploring Unified 3D Representation at Scale.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Uni3D: Exploring Unified 3D Representation at Scale

Reference 13

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source=pdf_text observed=2026-08-01T13:28:40.804760Z digest=sha256:ea14b8095601cd6bd17c08144569240b1a139fc6c01fee93ec1bf341f36360db

Observation 2f27b992-a45f-4ce0-b2e8-28f684b727e4 · outbound

This paper cites Ulip-2: Towards scalable multimodal pre-training for 3d understanding.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Ulip-2: Towards scalable multimodal pre-training for 3d understanding

Reference 14

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source=pdf_text observed=2026-08-01T13:28:40.969347Z digest=sha256:78bc43bab3b44a593af19a6d15bfc2ea8c1c7f86e490778517a2986a9214e5ef

Observation d7e7e5be-d45e-46a3-8b8c-08614967c8ad · outbound

This paper cites 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment

Reference 15

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source=pdf_text observed=2026-08-01T13:28:41.116997Z digest=sha256:bab5da228f781459ee3e4b63f1b0aec0b78b81b9f4743f4c424e33b4de326ba7

Observation a8a3588e-322f-449d-81cb-443cfa3d2159 · outbound

This paper cites 3D-LLM: Injecting the 3D World into Large Language Models.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval 3D-LLM: Injecting the 3D World into Large Language Models

Reference 16

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source=pdf_text observed=2026-08-01T13:28:41.240174Z digest=sha256:5d0d69db05bf33c918f5bb0a7469b1c94cf55fbabd726caa1691961cbfd91cc1

Observation 8d5cbfb9-d64d-4d45-8f92-dad97c174035 · outbound

This paper cites PointLLM: Empowering Large Language Models to Understand Point Clouds.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval PointLLM: Empowering Large Language Models to Understand Point Clouds

Reference 17

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source=pdf_text observed=2026-08-01T13:28:41.335244Z digest=sha256:679f173185041d72cf97a7f9ae0c3ff6957289359c45888ee2a13bd04b1f7d01

Observation 7efccbba-2d19-40f6-9947-1cc66cdec931 · outbound

This paper cites SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs

Reference 18

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source=pdf_text observed=2026-08-01T13:28:41.481839Z digest=sha256:e2a3f2e7e42e3d4deb2fc20bd1c9943cb87b72b5c2aa9be088760e90275c7c84

Observation addb6ed4-e83c-4ecc-a596-0d4ffe757260 · outbound

This paper cites Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes

Reference 19

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source=pdf_text observed=2026-08-01T13:28:41.598350Z digest=sha256:b038a611df1503b993cdcf9ca88b7dcd155a5fdf1f639e9aaa18685ae35f3641

Observation 28bc1e2e-7037-4e1c-bb04-e7e2851c6c7f · outbound

This paper cites Scanqa: 3d question answering for spatial scene understanding, 2022.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Scanqa: 3d question answering for spatial scene understanding, 2022

Reference 20

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source=pdf_text observed=2026-08-01T13:28:41.696371Z digest=sha256:aaaa3db9a47ca7e3344ab4cf4d0f2f6ee869a69aec261350e8c8fb90982e2b69

Observation f1099b5a-e6ea-4ba9-a303-c352bf1441e3 · outbound

This paper cites Sceneverse: Scaling 3d vision-language learning for grounded scene understanding.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Sceneverse: Scaling 3d vision-language learning for grounded scene understanding

Reference 21

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source=pdf_text observed=2026-08-01T13:28:41.808263Z digest=sha256:8dc21cb68ea504c47dbeb180fef0f4b51c37dee30f29bc5a2e97cfd6db72b3c2

Observation 8441237e-ef62-4668-a223-6e209038fd8b · outbound

This paper cites Shapetalk: A language dataset and framework for 3d shape edits and deformations.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval Shapetalk: A language dataset and framework for 3d shape edits and deformations

Reference 22

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source=pdf_text observed=2026-08-01T13:28:41.899560Z digest=sha256:992eaa1a9ac4b8af9428a6443cb1371a0019ec0bab03332d46ed2d9d85794914

Observation 1b18aabd-8815-45e8-9619-2e5a6d2b21ed · outbound

This paper cites DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis

Reference 23

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source=pdf_text observed=2026-08-01T13:28:42.012546Z digest=sha256:dbd3da9dbe051d1e0a43cd8973b7deafb34376399199a00e73593edbcfd8dd3f

Observation 9b561c93-6303-40a3-b87d-a6f9383e3b56 · outbound

This paper cites InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

Reference 24

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source=pdf_text observed=2026-08-01T13:28:42.153220Z digest=sha256:bfe95140d89cde47f1195af8831223980656df017ef13d64b5347bc9ab71a2ff

Observation 742f1192-4473-402d-922f-36058ee7ea7f · outbound

This paper cites EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing

Reference 25

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Observation 61ead812-5d1c-44d6-8afe-c0cf88181cde · outbound

This paper cites in roughly the same layout.

CR-Refiner: An Object-Centric Optimal Transport Reranker for Edit-Conditioned 3D Scene Retrieval in roughly the same layout

Reference 26

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source=pdf_text observed=2026-08-01T13:28:42.407268Z digest=sha256:d04f7c4e2b740b80f6e09960b833a5b02753e6b7f3d5fa6bb56025b0d92745db

Pith citing papers

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