Paper Citation Record · LEDGER

FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.00180.

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

pith.paper-citation-record.v1
2306.00180 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 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:07:40.010002Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:52:45.357777Z

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 76066f33-1564-49f8-ac58-76d48c533607 · inbound

Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos cites this paper.

Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T21:07:40.010002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 414ea1a9-3a64-4b39-8b58-bcda2d7ce44d · inbound

SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting cites this paper.

SelfSplat: Pose-Free and 3D Prior-Free Generalizable 3D Gaussian Splatting FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T12:31:37.938698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 554d5dab-7680-41f5-8fc2-168454530856 · inbound

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair cites this paper.

DynSUP: Dynamic Gaussian Splatting from An Unposed Image Pair FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T05:00:51.857388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bef30504-767f-403d-b4f4-2aa987add563 · inbound

RegGS: Unposed Sparse Views Gaussian Splatting with 3DGS Registration cites this paper.

RegGS: Unposed Sparse Views Gaussian Splatting with 3DGS Registration FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:32:52.186438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c53b68-3a8c-4847-a567-629750cd4bc3 · inbound

SeqVLM: Proposal-Guided Multi-View Sequences Reasoning via VLM for Zero-Shot 3D Visual Grounding cites this paper.

SeqVLM: Proposal-Guided Multi-View Sequences Reasoning via VLM for Zero-Shot 3D Visual Grounding FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T14:52:56.477553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ea329c-7837-44b5-babe-ee2fa7c6ed91 · inbound

RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video cites this paper.

RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:52:45.363569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.