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Paper Citation Record · LEDGER

An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.03178.

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

pith.paper-citation-record.v1
2408.03178 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:01:18.504780Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.715382Z

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 c1e88403-149b-4ded-a2db-f53e567e3faa · inbound

Deeply Dual Supervised learning for melanoma recognition cites this paper.

Deeply Dual Supervised learning for melanoma recognition An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Reference 141

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:12:54.886972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T01:12:16.127423Z digest=sha256:59700ec20f77fa605e22c1c5836ae16248073e04eb99c1947ff70271168f1148

Observation c75edfb2-56bc-4baa-b0c7-8724c8c543f4 · inbound

Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling cites this paper.

Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:46:55.994085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T00:46:49.811128Z digest=sha256:d381cef6bb520c62157b5c64e5202a1a12c49ea83f9e832b14dd10a8c29d4cc7

Observation 44c8ebbe-3249-477b-a92c-06cde25fc82c · inbound

DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation cites this paper.

DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:42:54.469949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T00:42:14.586310Z digest=sha256:cf303ac0ac75362cb363f0bea3c18614a77457d9f67a4ea58163f3c261ff5c57

Observation 3ec42ee8-6f67-4be3-b903-222e91a86a83 · inbound

VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation cites this paper.

VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Reference 132

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:41:56.267400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T00:37:16.337914Z digest=sha256:b20af5d5a05eeb96f98c6b37ac655cfab505ae7ac26d64f78ccbedae88e0a0b3

Observation 57acf73e-616a-4f6c-8f0f-235dff8009eb · inbound

Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing cites this paper.

Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:03:51.220539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T19:01:18.504780Z digest=sha256:f7b24c1018425e68a6e35ef1c55956556711ceddd1b33d18156aef087487e2ed

Observation 3381f16c-4465-42e1-b8b2-2602c026048a · inbound

MeshFlow: Mesh Generation with Equivariant Flow Matching cites this paper.

MeshFlow: Mesh Generation with Equivariant Flow Matching An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:49:52.716633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-26T05:52:47.536542Z digest=sha256:c0d0ea890ec4fdd95846a1262d55ab4387a4c6f312f0e5b3b86bae0d194e9693