Pith. sign in

Paper Citation Record · LEDGER

Anything-3D: Towards Single-view Anything Reconstruction in the Wild

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2304.10261.

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

pith.paper-citation-record.v1
2304.10261 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:29:46.487551Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:55:58.534826Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9ad1ecc0-eb82-4539-b69e-02a997ee5dcd · inbound

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications cites this paper.

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:41:43.498075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T22:41:43.411128Z digest=sha256:1a51d8bdf2746359ac76d15ca478155ac7d11b110ec32f24ea332ca5e1d4646c

Observation fe26a8db-3131-4944-a9cf-b8c9c2d79074 · inbound

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

LRM: Large Reconstruction Model for Single Image to 3D Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T10:11:00.947177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T10:11:00.777193Z digest=sha256:738de2b38a95ed9031ca668328925e278337bcca330bcbfbb88c09813b687ea0

Observation 97cdbc0e-915f-47d1-83b5-6074b7913475 · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:43:23.338227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:494d09e1d94cf680c7479e255bbf8c4b6f214c685721ee0928ae7f06387b10d5

Observation 4420dc7a-89b5-4060-8d6a-a2a22cebeb6e · inbound

MVImgNet2.0: A Larger-scale Dataset of Multi-view Images cites this paper.

MVImgNet2.0: A Larger-scale Dataset of Multi-view Images Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T04:29:46.487551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:29:46.487551Z digest=sha256:953d83e373356ea17b02d574947f45f0e8c51f18dbfe2380afbb550c22e98cc4

Observation 69f8ce06-7430-43c2-b2a5-b443c1c4e23d · inbound

LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors cites this paper.

LiftImage3D: Lifting Any Single Image to 3D Gaussians with Video Generation Priors Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:30.180047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:59:30.180047Z digest=sha256:97f88c3e7514ac6c93814121a09579d0e0ca5937f919e8660e22ec0fd539eca0

Observation 904cce2f-8405-4f78-9f6b-4b50506cf5a8 · inbound

GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting cites this paper.

GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T12:58:55.074548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:58:55.074548Z digest=sha256:0c4b2062ab2dec7625cce67d6f8b841cf470cc608d13e5ffb090211d48b65296

Observation 298889bc-374e-4a2d-bdf6-09ed5fead8bd · inbound

Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields cites this paper.

Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T21:29:35.135815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:29:35.135815Z digest=sha256:99cdd89c180330697a23bf21f88b2a1b3be5852c5b14e5f75cc2f539b7d6f9af

Observation 4c2f1975-7995-4cd3-80bf-7519a2531d20 · inbound

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement cites this paper.

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T14:29:00.651438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:00.651438Z digest=sha256:ff72149e752e371765cfa844e45b65ce7115e7c13cb472d62ca1e8e0d96463bb

Observation 3ee13e06-32d6-4c88-a20a-a808eb4a71f8 · inbound

Pippo: High-Resolution Multi-View Humans from a Single Image cites this paper.

Pippo: High-Resolution Multi-View Humans from a Single Image Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-08T11:39:18.518581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:39:18.518581Z digest=sha256:fbadb5d90506dea285f687ba52a9e572e382252553b69d3f01a1aee5e2b93f12

Observation 2963cc28-4e65-4378-a6b6-74a539a72178 · inbound

Towards Fine-grained Interactive Segmentation in Images and Videos cites this paper.

Towards Fine-grained Interactive Segmentation in Images and Videos Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T10:16:59.148568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:16:59.148568Z digest=sha256:a14c60137220e43b38a94a3afd11ce3b74ab0333e7deb17fac0a849699a35246

Observation 5f5b9646-1eb1-4946-91a7-bb1c85a3d2bb · inbound

AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization cites this paper.

AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T01:52:23.002773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T01:48:34.562325Z digest=sha256:e0333a7e0ee53a434f61d12b6231e0b5d06bf754bd2fdc50594b32b819d250fe

Observation 8f2d2b5d-3f91-4de2-a7d4-5f5343451e88 · inbound

scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning cites this paper.

scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T17:11:46.028194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:11:46.028194Z digest=sha256:29afa6691bb35d5cbd00fc1bff9a6d787a147e0d1b6a95c06b0fcf452ba1a064

Observation aa441876-67ef-4bf4-8531-2afab4e91e8b · inbound

SERES: Semantic-aware neural reconstruction from sparse views cites this paper.

SERES: Semantic-aware neural reconstruction from sparse views Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T17:04:20.800087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:04:20.800087Z digest=sha256:d33d941c69def38362fd8d0002a9d705bddce08bbcc832c04460f81cab94e599

Observation 2241c7dc-e393-4d51-b749-64b7fcaa0f37 · inbound

LISA-3D: Lifting Language-Image Segmentation to 3D via Multi-View Consistency cites this paper.

LISA-3D: Lifting Language-Image Segmentation to 3D via Multi-View Consistency Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T19:22:04.142399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:22:04.142399Z digest=sha256:4e45595b05a8e6f294a2b6aa5b6c971271d71d3a4daacc73232ad80ded6389b4

Observation 26bca729-c2e2-4a35-b6e3-51b32188cb9e · inbound

CoIn: Comprehensive 2D-3D Inpainting with Gaussian Splatting Guidance cites this paper.

CoIn: Comprehensive 2D-3D Inpainting with Gaussian Splatting Guidance Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:55:58.536539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-29T01:26:09.363335Z digest=sha256:0f0917388ec97282d4491920f99622cfc78043485df060b3ccebf8035b4ba5bd

Observation 8be825db-cf7d-4b2a-8dec-22242b560c86 · inbound

Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splatting cites this paper.

Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splatting Anything-3D: Towards Single-view Anything Reconstruction in the Wild

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:44:19.300245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T06:39:09.816995Z digest=sha256:b4e78242457e6241c8dc10c86eba20db9506dbe86640fa3f1227f0e25fbc5864