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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:001db8a7c0d2dab20801a399eafc2087a6488b6632da3d66421b5f04cce21173

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:d8b56405a3822ac7d582df4a75ac8fb25c4e347ed760a9f810233a29bf700f30

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:cf77bc8e54c5aee830b2454bbebfb4efede032e3ec79a037309a8bc24cb4c496

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:b8cafc8528c764e21537e77f9a0db1a318435e7002a946ff15999aadb0d73232

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=sha256:4812af55e69a568f80493813d855d66950c46eee5fdb71469b05a54883855b4e

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=sha256:285ccfa37f4027747f5bd00c3733ea5c1b11225fb67c857788122b4f66c46520

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=sha256:8d3fa7710492bb22d2998567a03fde224ee89799e572b133dff003d5d3843343

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:c50d467f2fce6d7f9af6ac63f95210bcf38a65873321c108dc621e0d949ccfb0

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=sha256:8cc83f2258bbda7c724ddbe4a4e34c53821774f90fc3ffc4c519a8aa9069877b

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:c4d113c0b3504765b54a3829b0b43c6f7ce30d31541b609ceb8359fd8ea4df5c

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:be1085dcba5316006c35477347909971cc7f0c6bdbc4f63c0d9eb47522c60e4e

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:f0aa9b2063a5fde31fea2e80916af29bd25859a817cfc3687683dd5148435f0e

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=sha256:11efaf517e252bb0e5cf644a0bed4a581048152d55bd978931166484bea7be31

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=sha256:7146955280fe83a3d42cb0cf5f70b21e3eb23e0b8aa9039d85364509a227bfe3

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:b034837913ca0d430cbb0d90af8ad6555e6e764a20685bee493f0f263ba2ba3e

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=sha256:346b35abe983c78ad05114e2789f8e3298d4739fec2f2f70fb48d243a97669b1

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=sha256:275bc19874f5addecdadc0075b1d36ac9a11205ba030e64091200c11ada7ed02

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:dac72d82daf39a4d7d236a43e7d937d14ca8aa3ee6f2b20f671193ad9e2367a0

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=sha256:0aa76619df01c6d91314ac06e19a6686ac09d9bd7c54a93d4bb666a7e5dea317

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=sha256:992fcbbc24e75cd8f3c4d01ea6245ae31e35173ac4a5b0eade25c611819ce940

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=sha256:098a05b700aec4da6f09c8d9a58b2d64d53b492244ea144c23ae41b7c04ab59e

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:ea10cfa1fe310656e326f8eb7ed39375ac6323185b446274520363847cf16af6

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=sha256:34e199921323548358ba8c9e72be861fa559c93bc40db4007787f54f651d727c

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=sha256:6cd16fd805acbb8c69967b0583a7c422e0ab55e154c611f0c50301153b23b630

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=sha256:2471d697459921802cb1f0c576008360a406297db7fa06869b9a73aa8f26d35a

Pith citing papers

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