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Paper Citation Record · LEDGER

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 5 inbound Pith citation observations for arXiv:2412.07746.

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

pith.paper-citation-record.v1
2412.07746 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:36:37.165485Z

measured 27 of 27 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:22:17.259939Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:20:11.304378Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab4d42c3-71c2-4944-9fa5-04edc1d16071 · outbound

This paper cites MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:36:37.050959Z digest=sha256:f14b1131c534a49d2e8e3c9c99c845018a3030c500725628d6f2b554c308a798

Observation 08d61ac7-eca1-4936-816b-177974995250 · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 3

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source=pdf_text observed=2026-08-11T18:36:37.057421Z digest=sha256:10824104acd50fd58f76eea27f3f992abeb3030bd6b701d32df027f7baf4570d

Observation 74d9d2b5-5c95-40b5-a73f-19d56218f217 · outbound

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

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Real3D: Scaling Up Large Reconstruction Models with Real-World Images

Reference 9

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source=pdf_text observed=2026-08-11T18:36:37.092036Z digest=sha256:de899e50d894fe501e650b554b9ea7a84fa1f106bce0520f08332abf7a222e62

Observation 27951d7c-1c4b-4adf-b9e3-c42672b9f27b · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Grounding Image Matching in 3D with MASt3R

Reference 10

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source=pdf_text observed=2026-08-11T18:36:37.097330Z digest=sha256:8152e9343eba502a31d843b32893a76c2de568078c663d90d754937ec1e9ef9d

Observation 3f8d9b51-9caf-4cdb-9388-6f41a0809381 · outbound

This paper cites Relpose++: Recovering 6d poses from sparse-view observations.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Relpose++: Recovering 6d poses from sparse-view observations

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:36:37.102848Z digest=sha256:5747dd937cccc26f7b652983239de20864e7f52f24c8b6945729ec2945061b9a

Observation 7892ac95-8c82-4ff4-878d-96dfa34583e9 · outbound

This paper cites The tum vi benchmark for evaluating visual-inertial odometry.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models The tum vi benchmark for evaluating visual-inertial odometry

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:36:37.113853Z digest=sha256:45e347504429e830093ce8c84c124e89e21e01036631d40d732e53102cd897e4

Observation 0b0bcdd1-d5a0-4aa8-9125-2b93bb56eb2a · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 15

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source=pdf_text observed=2026-08-11T18:36:37.126144Z digest=sha256:dc8364aa8237fd51a0ffb27d73b392beed5ad658221263579b9c7acdbd5e3b82

Observation f410c223-7933-47b1-a490-364950131246 · outbound

This paper cites Confnet: predict with confidence.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Confnet: predict with confidence

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 632c6189-b863-466f-adec-8509174f915b · outbound

This paper cites 3D Reconstruction with Spatial Memory.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models 3D Reconstruction with Spatial Memory

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:36:37.137557Z digest=sha256:41762bc1742ff020a87316aaea342026ffc0d2b870db1a28a136fb16d9cc8829

Observation a1f229ea-1907-46ca-a3a6-4dbca231980f · outbound

This paper cites Improving 2D Feature Representations by 3D-Aware Fine-Tuning.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Improving 2D Feature Representations by 3D-Aware Fine-Tuning

Reference 18

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source=pdf_text observed=2026-08-11T18:36:37.142912Z digest=sha256:574993e3faf3ca15f7e7fb7c954c1d59f8b568abeac3610004617a45bdf43c4c

Observation aee18f5d-ef61-4ab1-970d-520171baab9d · outbound

This paper cites Cameras as Rays: Pose Estimation via Ray Diffusion.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Cameras as Rays: Pose Estimation via Ray Diffusion

Reference 19

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source=pdf_text observed=2026-08-11T18:36:37.148217Z digest=sha256:fcfda06f2dacac3cb848b67e0ea808a58cba79aa4f87b3b75ab60975516f1f14

Observation e1d557bd-79a3-4925-8a04-b16b070c869b · outbound

This paper cites an unresolved cited work.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cf30924d-c0f3-4c52-af4f-cfb57ce5caa4 · outbound

This paper cites fr1 desk.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models fr1 desk

Reference 21

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malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:36:37.159844Z digest=sha256:c201f0fab732ba627617923c196e0706e89c470c2730849cd0c304caad5e74a3

Observation 3662e6ac-7e1b-418d-a377-0f6add95c7a1 · outbound

This paper cites Theoretically, DUSt3R is trained to predict 3D point maps but not explicit 2D-2D or 2D-3D corre- spondences.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Theoretically, DUSt3R is trained to predict 3D point maps but not explicit 2D-2D or 2D-3D corre- spondences

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T18:36:37.165485Z digest=sha256:9f44843dad679d71f7886d9dced249678b499c1cdb9769f433b26f4a675ea2c5

Observation 4e29c601-814c-40df-9285-477eff90d314 · outbound

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

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Pixelwise view selection for unstructured multi-view stereo

Reference 2016

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raw_fallback, observed 2026-08-11T18:36:37.597045Z

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=2026-08-11T18:36:37.108412Z digest=sha256:e28f8392038d4dc7df6e276452b64e53e49c9ae22cbb9889b740815eb79e318b

Observation 37d70cae-75ce-4398-9ada-54677395ccea · outbound

This paper cites FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent

Reference 2018

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source=pdf_text observed=2026-08-11T18:36:37.120313Z digest=sha256:37ad937d4936ef10ddf89f50dac84ef85a30d29d20052bc9a9ba347c9e5b512a

Observation af1186ba-9a4a-4233-a030-aaee73f342e6 · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 2019

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source=pdf_text observed=2026-08-11T18:36:37.063565Z digest=sha256:1130435390fe65b84321cc204a6d17c1dbfc32ea319ce1711ce9914dede3d2b5

Observation 87f14afb-240e-40a1-b0d2-e0f564f94ad4 · outbound

This paper cites Parameter-efficient Model Adaptation for Vision Transformers.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Parameter-efficient Model Adaptation for Vision Transformers

Reference 2020

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local_arxiv, observed 2026-08-11T18:36:37.406931Z

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=2026-08-11T18:36:37.069375Z digest=sha256:3e24a8a68e84289fdfa9114a67ca2170aa76267a1db39732566978dc73125daa

Observation 836c7bed-3d7c-491c-94b1-63750f9a7995 · outbound

This paper cites How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images

Reference 2021

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source=pdf_text observed=2026-08-11T18:36:37.085693Z digest=sha256:66fd72a6ea65188ed6f2c1ec361eb69fdf7bfa9225d28c40fcca3f6b704f9623

Observation 9192cea7-5301-4977-a875-bb6704ea94f1 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models LRM: Large Reconstruction Model for Single Image to 3D

Reference 2022

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source=pdf_text observed=2026-08-11T18:36:37.075015Z digest=sha256:35acb42da9d0344b3b29e2b82a021ae56249d5275f8539b3d0d0e89b9ca75251

Observation ee502d6e-7727-4dd7-80fc-fa91aae15f5a · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 2023

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source=pdf_text observed=2026-08-11T18:36:37.080623Z digest=sha256:26dd5158d206a6c9feeba93ce0ea5796d728c9a3aaa930316285ab89151ef97c

Observation 59e76369-b7af-481d-a274-c7e7f9128b5b · outbound

This paper cites Language Models are Few-Shot Learners.

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Language Models are Few-Shot Learners

Reference 2024

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source=pdf_text observed=2026-08-11T18:36:37.044890Z digest=sha256:05415385975475a4d8658d5ccfaa347f591f860388d97f0ee6667c6b47c55f77

Pith citing papers

Observation 478f99e9-c840-459a-bb4e-4d5ad85979ba · inbound

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models cites this paper.

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models

Reference 68

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source=pdf_text observed=2026-08-07T11:36:08.475134Z digest=sha256:e4efec45f20959baeb9449ddb869834fb5893e1ac4b43a05e3735aeb94941cfa

Observation 34e8cc7b-84cc-4e46-9428-ba9a762804f3 · inbound

Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models cites this paper.

Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models

Reference 30

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source=pdf_text observed=2026-08-07T04:58:57.941066Z digest=sha256:1ee5b2b79db3b0c0c772dc68d6614279ffb53fc62c3d6b60d9c828a1b1c58609

Observation 7734f643-f947-4b08-a40d-e86fb9ccc294 · inbound

LONG3R: Long Sequence Streaming 3D Reconstruction cites this paper.

LONG3R: Long Sequence Streaming 3D Reconstruction LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models

Reference 36

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source=pdf_text observed=2026-08-15T18:22:17.259939Z digest=sha256:2833df8ed4be34425252fbd4ba3a7f646b57e9bd7322232e7fb66f4468a3bdf1

Observation 480099e7-655f-4556-93ec-ac0e03fcbb58 · inbound

TokenGS: Decoupling 3D Gaussian Prediction from Pixels with Learnable Tokens cites this paper.

TokenGS: Decoupling 3D Gaussian Prediction from Pixels with Learnable Tokens LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models

Reference 29

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arxiv_id, observed 2026-05-10T11:20:11.307279Z

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=2026-05-10T11:11:45.176020Z digest=sha256:c32992566ae227cbf5d144b462fe4fc61744d2eb4a7d00ff1d896c7906b8836f

Observation 5a651cfc-df8f-4a08-9b31-f1ef9dc7e41b · inbound

Self-Geometry: GT-Free and Plug-and-Play Test-Time Adaptation for Geometrically Consistent 3D Vision Foundation Models cites this paper.

Self-Geometry: GT-Free and Plug-and-Play Test-Time Adaptation for Geometrically Consistent 3D Vision Foundation Models LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:59:54.133662Z digest=sha256:3a9ccd41adbf06c53d1651bd0d1aaeebe6adbd4dfd579305bb2a03a538b8b41e