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Paper Citation Record · LEDGER

One2Any: One-Reference 6D Pose Estimation for Any Object

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2505.04109.

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

pith.paper-citation-record.v1
2505.04109 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:41:52.900903Z

measured 63 of 63 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:47:07.419215Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:47:08.163744Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact2
  • verified fuzzy50
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3af47bfd-8df8-44d7-8976-fab90994f0b8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

One2Any: One-Reference 6D Pose Estimation for Any Object An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.694720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.694720Z digest=sha256:b26851e09a9fcbed2bd1ac05106229ad967863636f3e6ddc735a81e9a120269a

Observation fe0b215c-8750-47f2-a476-7ebcfe3e2f05 · outbound

This paper cites Zs6d: Zero-shot 6d object pose estimation using vision transformers.

One2Any: One-Reference 6D Pose Estimation for Any Object Zs6d: Zero-shot 6d object pose estimation using vision transformers

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.554744Z

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=2026-08-15T23:41:52.699267Z digest=sha256:7beadce4f577de1502dbea467295596e5b80cbbb5288b92d393684b71032cd4a

Observation 4511405d-473c-4ac9-bc66-38f28459903a · outbound

This paper cites Learning 6d object pose estimation using 3d object co- ordinates.

One2Any: One-Reference 6D Pose Estimation for Any Object Learning 6d object pose estimation using 3d object co- ordinates

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.543574Z

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=2026-08-15T23:41:52.702476Z digest=sha256:8263b0ab3dd7dd07afab8f9f1efc68875e1fc712fe5a9d1a3f0cb33aa79eb5ad

Observation de24590e-0b16-4b43-9114-e3b143515556 · outbound

This paper cites OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.706401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.706401Z digest=sha256:c3fe6267e4b8e5a43d339d2fe1dbe5d5edd9e7924ac7343fbea6d5f24bfdd6aa

Observation 079341fd-b472-4321-a98a-4dca17d93f8d · outbound

This paper cites Freeze: Training-free zero-shot 6d pose estimation with geometric and vision foundation mod- els.

One2Any: One-Reference 6D Pose Estimation for Any Object Freeze: Training-free zero-shot 6d pose estimation with geometric and vision foundation mod- els

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.532886Z

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=2026-08-15T23:41:52.710831Z digest=sha256:8c6bf55817f4c2c78e04ff41281fca789e1cca48a1f7c6a954bbdc412776bfbe

Observation e97a8278-8065-4b4b-9bf2-96334dd699cd · outbound

This paper cites Learning canonical shape space for category-level 6d object pose and size estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Learning canonical shape space for category-level 6d object pose and size estimation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.523004Z

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=2026-08-15T23:41:52.714304Z digest=sha256:fffc05e6e1c55b3413ef226b1597c5bd677ca079b98a49cb3cf1e841d484e807

Observation af69460c-747c-49bd-9d06-cf84fc30341b · outbound

This paper cites Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.510649Z

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=2026-08-15T23:41:52.718548Z digest=sha256:12258923efb41d51a5640d3f8ef4a5b701e8c1d0cd188ac8f1e436268479c2d1

Observation a023f31b-4de1-40e4-aa34-93becc93413e · outbound

This paper cites High-resolution open-vocabulary object 6D pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object High-resolution open-vocabulary object 6D pose estimation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.722113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.722113Z digest=sha256:bf4781583857d7c431d676e85392867861670777f3b5d0e0c16d5435b6efa2e4

Observation 808f0e13-ceb2-45cb-beeb-31ed1e55f403 · outbound

This paper cites Open-vocabulary object 6d pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Open-vocabulary object 6d pose estimation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.498804Z

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=2026-08-15T23:41:52.725582Z digest=sha256:fbce8f591e3932a8f9a7e0b134f050cf57accd17821cd8ba576af872d1b0b94d

Observation 2f602357-9417-46e0-82c6-f5efc75dcccf · outbound

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

One2Any: One-Reference 6D Pose Estimation for Any Object Objaverse: A universe of annotated 3d objects

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.487722Z

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=2026-08-15T23:41:52.728348Z digest=sha256:1ab23f5ed5e853a3d3a7b855682090cf61f472bd77b8871cbe25db61382e41d3

Observation 2c829542-6af9-46b2-ada8-a6aac9fc47cb · outbound

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

One2Any: One-Reference 6D Pose Estimation for Any Object Google scanned ob- jects: A high-quality dataset of 3d scanned household items

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.475220Z

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=2026-08-15T23:41:52.732067Z digest=sha256:5df5aea6ca1b8bc2cdc0cb07845a7dfe4f2631aa2fcaa0bf9b9a3e9c394129cf

Observation d86576c7-e846-4acc-a961-74bf5f10214c · outbound

This paper cites Pope: 6-dof prompt- able pose estimation of any object in any scene with one reference.

One2Any: One-Reference 6D Pose Estimation for Any Object Pope: 6-dof prompt- able pose estimation of any object in any scene with one reference

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.463135Z

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=2026-08-15T23:41:52.735873Z digest=sha256:2a5c965f13d772fb9a5738fe4010df636aa74c216ff7802a41f4e241c7d02a2a

Observation 278817aa-9376-4527-9573-f5dcb8b95b9f · outbound

This paper cites Ob- jectmatch: Robust registration using canonical object correspondences.

One2Any: One-Reference 6D Pose Estimation for Any Object Ob- jectmatch: Robust registration using canonical object correspondences

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.453533Z

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=2026-08-15T23:41:52.739553Z digest=sha256:ad7ffa85c768379734ddd1e8e95ec5d3baa02932cf2bd4da4fe3ad21b5994dab

Observation c24d807d-77a8-4bd0-be16-2a4e08f16258 · outbound

This paper cites Deep residual learning for image recognition.

One2Any: One-Reference 6D Pose Estimation for Any Object Deep residual learning for image recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.742840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.742840Z digest=sha256:c6707ace9a15892a0323349f9bad47517357a06fe1dbde9942ce2ffb52b3953c

Observation 6f11291a-07d1-4dfd-8812-e57487db3cc0 · outbound

This paper cites Onepose++: Keypoint- free one-shot object pose estimation without cad mod- els.

One2Any: One-Reference 6D Pose Estimation for Any Object Onepose++: Keypoint- free one-shot object pose estimation without cad mod- els

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.435121Z

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=2026-08-15T23:41:52.746503Z digest=sha256:6654bc2fb154d6ebefd378652c5bee0f3917f10f321b3b3c550947b721d06db2

Observation b2ec84f9-9319-4d06-97f3-ba16fb9aac90 · outbound

This paper cites Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.424037Z

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=2026-08-15T23:41:52.749900Z digest=sha256:a2f498135b46a9d3665d28c90bfd463719c8937232d1ce029b4ca376c692e4c6

Observation 7d59bce1-bc3f-4c0c-9443-bba47b26a171 · outbound

This paper cites Ffb6d: A full flow bidirectional fusion network for 6d pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Ffb6d: A full flow bidirectional fusion network for 6d pose estimation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.413219Z

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=2026-08-15T23:41:52.753613Z digest=sha256:eb0ec7b4c452ad9e867602c30d31271a80edec3aeefcdaf595b0794634cf61c0

Observation da061470-c2e9-413b-a433-ba6de897c996 · outbound

This paper cites Towards Self-Supervised Category-Level Object Pose and Size Estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Towards Self-Supervised Category-Level Object Pose and Size Estimation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:41:52.990257Z

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=2026-08-15T23:41:52.757517Z digest=sha256:8a97b3391f967351ccc78e8f94735d0c57a3eecfdaf6a84d2df1e42b0a95496a

Observation 639ba7bd-09b5-47f3-8da3-2f6b6ef952a5 · outbound

This paper cites Fs6d: Few-shot 6d pose estimation of novel objects.

One2Any: One-Reference 6D Pose Estimation for Any Object Fs6d: Few-shot 6d pose estimation of novel objects

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.403266Z

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=2026-08-15T23:41:52.761117Z digest=sha256:801e8ab8c22a14414de7f5ba636a6ced7d3347ebd9232a016aca3b7f23f4c080

Observation 07ebb0b4-e0f8-4d59-a064-f1f5314a9bde · outbound

This paper cites Multimodal templates for real-time detec- tion of texture-less objects in heavily cluttered scenes.

One2Any: One-Reference 6D Pose Estimation for Any Object Multimodal templates for real-time detec- tion of texture-less objects in heavily cluttered scenes

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.393197Z

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=2026-08-15T23:41:52.764114Z digest=sha256:9dfb0e5969b09f252426e893f0b9ebb21e8a22baacaab8b653ae0d9be09c92c0

Observation 3962c1d3-b494-4fd8-a2f9-2adcb07d4da4 · outbound

This paper cites T- less: An rgb-d dataset for 6d pose estimation of texture- less objects.

One2Any: One-Reference 6D Pose Estimation for Any Object T- less: An rgb-d dataset for 6d pose estimation of texture- less objects

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.383572Z

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=2026-08-15T23:41:52.768785Z digest=sha256:91c10153ebfc455ed33f14eb086c3fb2ac8dd92689b5648a14119d3da4eb465c

Observation 91d1f874-c7ba-48be-953e-f5b4020ec094 · outbound

This paper cites Bop: Benchmark for 6d object pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Bop: Benchmark for 6d object pose estimation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.374256Z

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=2026-08-15T23:41:52.772559Z digest=sha256:f0ad23ad298e61ea1c6f01085c6ac863dcacb245fc3e32ee1f4e0136f08a8c9f

Observation 8ce8119d-45af-435f-8817-3f2b315db1e5 · outbound

This paper cites Predator: Regis- tration of 3d point clouds with low overlap.

One2Any: One-Reference 6D Pose Estimation for Any Object Predator: Regis- tration of 3d point clouds with low overlap

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.364296Z

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=2026-08-15T23:41:52.775416Z digest=sha256:bde90dc4dd01885cadbfe2938d6cd44405b00a70e1d0b9b1b160eee5d977aa58

Observation d9c51358-bfd2-4903-bb0d-0945757d6fd3 · outbound

This paper cites DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-level Pose Estimation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:41:52.976253Z

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=2026-08-15T23:41:52.778240Z digest=sha256:f44d99a331c3e09b38b5b547571f50264b20ae676b7991d5790fc2eef5c10956

Observation 1915d4a5-596a-4ef9-8118-1849a4628821 · outbound

This paper cites Centersnap: Single-shot multi-object 3d shape reconstruction and categorical 6d pose and size estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Centersnap: Single-shot multi-object 3d shape reconstruction and categorical 6d pose and size estimation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.354801Z

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=2026-08-15T23:41:52.781446Z digest=sha256:90d7aab29fa58f48eb2d7959ca829f4d4938d4d5739e48527aa845c72d90d6fa

Observation 215d8ed0-8aa7-4dab-9cc4-8ebfc32ea3b6 · outbound

This paper cites Depth-based object tracking using a robust gaussian fil- ter.

One2Any: One-Reference 6D Pose Estimation for Any Object Depth-based object tracking using a robust gaussian fil- ter

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.345321Z

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=2026-08-15T23:41:52.784520Z digest=sha256:7abfd39266e6e0cbe38e58b188d50cdbc7e7632538ef7b1d3c3f910aae8d78da

Observation b551cdaa-0020-49af-83fd-669fc00e2d2c · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof camera relocalization.

One2Any: One-Reference 6D Pose Estimation for Any Object Posenet: A convolutional network for real-time 6-dof camera relocalization

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.335594Z

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=2026-08-15T23:41:52.787797Z digest=sha256:5d4c08fefe2b8936ebe4f69a26126c1efab2348e102722ca3e9849cbefa0dd92

Observation 09fe650e-fbdb-4775-aaf6-d1b46c8ae359 · outbound

This paper cites Segment anything.

One2Any: One-Reference 6D Pose Estimation for Any Object Segment anything

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.326325Z

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=2026-08-15T23:41:52.791032Z digest=sha256:726865274fc400d5f2212a498e83804067550e63a57139cfc9e59cb06370c2c3

Observation a2ff12bd-0113-401d-9105-3be7f2bc5c94 · outbound

This paper cites Omninocs: A unified nocs dataset and model for 3d lifting of 2d ob- jects.

One2Any: One-Reference 6D Pose Estimation for Any Object Omninocs: A unified nocs dataset and model for 3d lifting of 2d ob- jects

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.317365Z

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=2026-08-15T23:41:52.794116Z digest=sha256:9b1481d59aa32fb6df00dbf90f0845ba1208668a9003ac82bb72b80198c5ba78

Observation f6228d00-1699-46de-b9a9-12a2ca95e4dc · outbound

This paper cites MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.

One2Any: One-Reference 6D Pose Estimation for Any Object MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.797497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.797497Z digest=sha256:5b40d20a5bd63c07dba8b0675bfbbfbdf28b8c848a3e6a6c1f68778be0ff698a

Observation 8c1518ac-4482-48af-8523-8234a4b5f5bd · outbound

This paper cites Usip: Unsupervised stable interest point detection from 3d point clouds.

One2Any: One-Reference 6D Pose Estimation for Any Object Usip: Unsupervised stable interest point detection from 3d point clouds

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.307278Z

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=2026-08-15T23:41:52.800935Z digest=sha256:c857c93302217689fd5505591632e2ec56c495c52091838bee0fd4424a672d61

Observation 76f6815a-117e-45a5-9ec8-3e9fa5dac603 · outbound

This paper cites RelPose++: Recovering 6D Poses from Sparse-view Observations.

One2Any: One-Reference 6D Pose Estimation for Any Object RelPose++: Recovering 6D Poses from Sparse-view Observations

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.804180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.804180Z digest=sha256:a0122809f0ad19ff645f02433121fa76ff0a3fe4d7cb507e2ccf175dccc15c9c

Observation d48b02b7-4318-4091-ab05-358f1538987e · outbound

This paper cites Sam- 6d: Segment anything model meets zero-shot 6d object pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Sam- 6d: Segment anything model meets zero-shot 6d object pose estimation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.297536Z

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=2026-08-15T23:41:52.807534Z digest=sha256:3b57a08d86ece169dfea533a0e7ef35a6a63d503a656346d203e156b71146871

Observation d3eecf1c-e4b7-4bd8-a57b-74308f546a3a · outbound

This paper cites One-2-3- 45: Any single image to 3d mesh in 45 seconds with- out per-shape optimization.

One2Any: One-Reference 6D Pose Estimation for Any Object One-2-3- 45: Any single image to 3d mesh in 45 seconds with- out per-shape optimization

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.287726Z

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=2026-08-15T23:41:52.810708Z digest=sha256:23ddc96add593230a097fa3481a99e8ce811702d9547a261ed9b325c5ed1350d

Observation ec1ce849-4ba7-47f4-9267-9be01cf912c9 · outbound

This paper cites Zero-1- to-3: Zero-shot one image to 3d object.

One2Any: One-Reference 6D Pose Estimation for Any Object Zero-1- to-3: Zero-shot one image to 3d object

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.278377Z

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=2026-08-15T23:41:52.814719Z digest=sha256:452db9ae2950790e962e0728f5ebf20eadc37abf0246fa3a4b845b02f0ca0275

Observation 606162eb-bd04-44b4-ae55-3d537ea15cfa · outbound

This paper cites Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images.

One2Any: One-Reference 6D Pose Estimation for Any Object Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.267734Z

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=2026-08-15T23:41:52.817758Z digest=sha256:7ca4761082c695a85d40998eb49272769913c98eed342c28d123e1133100fe0a

Observation 7c81198f-a55f-457d-ac59-92eb20b4ec0f · outbound

This paper cites Decoupled Weight Decay Regularization.

One2Any: One-Reference 6D Pose Estimation for Any Object Decoupled Weight Decay Regularization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.821271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.821271Z digest=sha256:59d3e3793c0804446c521559baf3cc73eabbb8603d06187cf5a04304d4f8661a

Observation e1aeb39b-e5b3-4a81-a2ff-bd569b3529e7 · outbound

This paper cites Moped: A scalable and low latency object recognition and pose estimation system.

One2Any: One-Reference 6D Pose Estimation for Any Object Moped: A scalable and low latency object recognition and pose estimation system

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.256738Z

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=2026-08-15T23:41:52.824318Z digest=sha256:508acb6682536988548e45097c0899a0b269fbe8a0b2296bfdb0053d212ddcd7

Observation d6484f5b-e158-4f1e-881b-b5ff64f883d5 · outbound

This paper cites Nope: Novel object pose esti- mation from a single image.

One2Any: One-Reference 6D Pose Estimation for Any Object Nope: Novel object pose esti- mation from a single image

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.246419Z

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=2026-08-15T23:41:52.827361Z digest=sha256:f854118dbd03f2905df641bdad3ffd5632968cf29e4ce62ccd38cab38a752367

Observation 6a939adb-dad3-422a-855b-5dd5a54267e8 · outbound

This paper cites Gigapose: Fast and ro- bust novel object pose estimation via one correspon- dence.

One2Any: One-Reference 6D Pose Estimation for Any Object Gigapose: Fast and ro- bust novel object pose estimation via one correspon- dence

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.236898Z

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=2026-08-15T23:41:52.830311Z digest=sha256:3fbe818fb11df81e0f150cbfc7f9d15e65ed1fce6c70e6d06cd7ca9579edcff3

Observation 70463bef-c09d-468e-872c-dd422413fde7 · outbound

This paper cites Scalable recogni- tion with a vocabulary tree.

One2Any: One-Reference 6D Pose Estimation for Any Object Scalable recogni- tion with a vocabulary tree

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.226407Z

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=2026-08-15T23:41:52.833355Z digest=sha256:2b34d8d9ac15e93e110f07019f4f1e54b9e50a47bac95f0ca318f87e44c4d4a2

Observation ff0033e4-572b-4c07-8d03-aea83161659f · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

One2Any: One-Reference 6D Pose Estimation for Any Object DINOv2: Learning Robust Visual Features without Supervision

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.836788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.836788Z digest=sha256:38cf17daa8fc7b1e7d93c669a807a6bf46c6a4829cd82a31e51312a08bfb0c3b

Observation ba4f61c7-04ac-4a82-9d98-c24b7b7c6ae8 · outbound

This paper cites Foundpose: Unseen object pose estimation with foun- dation features.

One2Any: One-Reference 6D Pose Estimation for Any Object Foundpose: Unseen object pose estimation with foun- dation features

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.216291Z

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=2026-08-15T23:41:52.840341Z digest=sha256:b3ab936961a32841545b86fa42979d47444e90d1fb40955912e67349784c6cd4

Observation b8c9a112-031a-447e-85da-b62c9a8515fb · outbound

This paper cites Pix2pose: Pixel-wise coordinate regression of ob- jects for 6d pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Pix2pose: Pixel-wise coordinate regression of ob- jects for 6d pose estimation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.206135Z

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=2026-08-15T23:41:52.843588Z digest=sha256:7e131545d31f074c3452ffaaeab630ff0cb70cb88a779a738726808e2b68b6ee

Observation a2f50865-9724-47fa-b89d-736db7252691 · outbound

This paper cites Latentfusion: End-to-end differentiable reconstruction and rendering for unseen object pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Latentfusion: End-to-end differentiable reconstruction and rendering for unseen object pose estimation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.196935Z

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=2026-08-15T23:41:52.847010Z digest=sha256:0790d673ca16d6387277de789b84ff78d2bbc811df141335bb2ca4530542ecd4

Observation db2f09a3-ef3f-413c-a3bf-45bf4b3bb9a5 · outbound

This paper cites Object retrieval with large vocabularies and fast spatial matching.

One2Any: One-Reference 6D Pose Estimation for Any Object Object retrieval with large vocabularies and fast spatial matching

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.187244Z

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=2026-08-15T23:41:52.850021Z digest=sha256:801eeddf5b8aa4d3c11766f505b8cf084a6936e15ab7d9bc0f2d04e38ca47fe5

Observation 364b50ad-abb4-4bf5-abe7-56c17398f8f3 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

One2Any: One-Reference 6D Pose Estimation for Any Object Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.177468Z

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=2026-08-15T23:41:52.852924Z digest=sha256:1714dd01ac019da7354d43957bf539fefc4ef0fe4b3749c8fc9fc21f1a1cca53

Observation 25fd2c18-6950-4c6f-88a2-203d3b65da4d · outbound

This paper cites High-resolution im- age synthesis with latent diffusion models.

One2Any: One-Reference 6D Pose Estimation for Any Object High-resolution im- age synthesis with latent diffusion models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.166636Z

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=2026-08-15T23:41:52.855764Z digest=sha256:847c2781e0e3eb52eaade3d358dec5c2d1184120e30f349dba19b7587d2d9f57

Observation f3493854-6a4f-4ee2-b773-45170db0a87a · outbound

This paper cites Iterative corresponding geometry: Fusing re- gion and depth for highly efficient 3d tracking of tex- tureless objects.

One2Any: One-Reference 6D Pose Estimation for Any Object Iterative corresponding geometry: Fusing re- gion and depth for highly efficient 3d tracking of tex- tureless objects

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.156231Z

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=2026-08-15T23:41:52.858760Z digest=sha256:2ee76167dbde916457f36b908463286f6e9159ed80936c0ae3e4c384990ffb1f

Observation ba2544c4-d31e-4ce0-9994-b06bc614b9c2 · outbound

This paper cites Loftr: Detector-free local feature matching with transformers.

One2Any: One-Reference 6D Pose Estimation for Any Object Loftr: Detector-free local feature matching with transformers

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.145710Z

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=2026-08-15T23:41:52.861708Z digest=sha256:a28374604f43483b60c0cc298c0faedbecd7b3ab7603e62601e03f28c49cd187

Observation 79f99607-e683-453d-ba54-66059686e3da · outbound

This paper cites Onepose: One-shot object pose estimation without cad models.

One2Any: One-Reference 6D Pose Estimation for Any Object Onepose: One-shot object pose estimation without cad models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.135561Z

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=2026-08-15T23:41:52.864672Z digest=sha256:bbc67e5fc6e249d55241f803333332e02bb4b5b02159fee9dc748b2311853156

Observation f187d77c-4154-4865-88d5-c2b27bd8a9ed · outbound

This paper cites The vitruvian manifold: Inferring dense correspondences for one-shot human pose esti- mation.

One2Any: One-Reference 6D Pose Estimation for Any Object The vitruvian manifold: Inferring dense correspondences for one-shot human pose esti- mation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.124889Z

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=2026-08-15T23:41:52.868981Z digest=sha256:6eecfc900f90b113a5eaaabf46aeebb379c40687562466ce8e79da3ea6a3cadb

Observation d65ff171-31af-4611-a664-a197324da2fc · outbound

This paper cites Least-squares estimation of transfor- mation parameters between two point patterns.

One2Any: One-Reference 6D Pose Estimation for Any Object Least-squares estimation of transfor- mation parameters between two point patterns

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.114507Z

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=2026-08-15T23:41:52.872356Z digest=sha256:c40f70e6ec0d9e8f8031a77188dd411be28346e40efed756942c03487b86a4bb

Observation 22e274cf-fd2a-4e2e-816c-ba2927748240 · outbound

This paper cites Gdr-net: Geometry-guided direct regres- sion network for monocular 6d object pose estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Gdr-net: Geometry-guided direct regres- sion network for monocular 6d object pose estimation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.103297Z

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=2026-08-15T23:41:52.875383Z digest=sha256:41f24d3387fe9be1d36c94211a01689290a1d1c990d5184a0ba92f7ddc325276

Observation 560511bc-32ae-4f53-a46f-a2e5ee55c3ae · outbound

This paper cites Nor- malized object coordinate space for category-level 6d object pose and size estimation.

One2Any: One-Reference 6D Pose Estimation for Any Object Nor- malized object coordinate space for category-level 6d object pose and size estimation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.090816Z

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=2026-08-15T23:41:52.878207Z digest=sha256:8817de001acf29d532bc3d2b97b5f7aff1c39a58bee3e3ae00a1bb25e86ac141

Observation 80d45aa7-58a3-4128-9c1f-52d0fb8f2a61 · outbound

This paper cites Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment.

One2Any: One-Reference 6D Pose Estimation for Any Object Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.078777Z

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=2026-08-15T23:41:52.881328Z digest=sha256:5b54074a19b98f00112d4c0f1aaa82b14493a888d0520345d006a37c99a4adcb

Observation 83b06b4a-51c2-40eb-91f9-b8a2764d33e1 · outbound

This paper cites Foundationpose: Unified 6d pose estimation and track- ing of novel objects.

One2Any: One-Reference 6D Pose Estimation for Any Object Foundationpose: Unified 6d pose estimation and track- ing of novel objects

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.066257Z

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=2026-08-15T23:41:52.884154Z digest=sha256:27ae718e30065331490ef205f3c644326955e96dcb47065a43a7ff98333a8b4a

Observation a5211128-d770-41d8-8492-4864a8016cce · outbound

This paper cites Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation.

One2Any: One-Reference 6D Pose Estimation for Any Object Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.054217Z

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=2026-08-15T23:41:52.887745Z digest=sha256:47257480f4dfa20cbbf034be0233acf83cc3d3b92c2c3ded7aa032a15cd3ffde

Observation 4cd55d7f-b65b-472f-9d33-27de9f50d23a · outbound

This paper cites Probabilistic object tracking using a range camera.

One2Any: One-Reference 6D Pose Estimation for Any Object Probabilistic object tracking using a range camera

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.044765Z

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=2026-08-15T23:41:52.891310Z digest=sha256:6e88e10ce8959ac28a4865b79e01802d205f3b7211c249d5119810254cd91142

Observation a0f99520-6a1f-428a-9c78-4d8e0fdbb8bb · outbound

This paper cites PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.

One2Any: One-Reference 6D Pose Estimation for Any Object PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.894539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.894539Z digest=sha256:6cd69e737347968713ddb1fb0749dd766c321293b64a3e4676a69e6b87901bee

Observation d58aa44f-a29d-4050-be76-c1e2cb5adbf6 · outbound

This paper cites Relpose: Predicting probabilistic relative rotation for single objects in the wild.

One2Any: One-Reference 6D Pose Estimation for Any Object Relpose: Predicting probabilistic relative rotation for single objects in the wild

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:41:53.034811Z

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=2026-08-15T23:41:52.897937Z digest=sha256:3f35499a759f49d8b74d390f61a086506374c88713483488ede126949921eb53

Observation 809c16ff-6f07-446b-8ae2-42cfee2eec70 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

One2Any: One-Reference 6D Pose Estimation for Any Object Adding conditional control to text-to-image diffusion models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:52.900903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:52.900903Z digest=sha256:b03a42283a6d3bef796803c2ffa2abbef5734919ee4c47fa725ae148d2d1690c

Pith citing papers

Observation 6451537c-e6c3-4a97-abda-73294d1cd7c3 · inbound

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models cites this paper.

Accurate and efficient zero-shot 6D pose estimation with frozen foundation models One2Any: One-Reference 6D Pose Estimation for Any Object

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:47:08.255219Z

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=2026-08-07T04:47:07.419215Z digest=sha256:87c74f5a645463f0ed97e4bd958dad86d0e972de5752253850dabe62c7cd8130