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Paper Citation Record · LEDGER

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2606.23027.

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

pith.paper-citation-record.v1
2606.23027 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:16:48.404199Z

measured 13 of 13 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b04711c9-fb26-41b9-940f-dff10ab02c4b · outbound

This paper cites PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.456742Z

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=2026-06-26T09:16:48.404199Z digest=sha256:77f7df3442721e79bb90752ea4d4b8150a10a9e7c6915c4d04e1b6423c8f4cc0

Observation 7dad374d-5236-4178-97a9-51fd8105dcca · outbound

This paper cites No pose at all: Self-supervised pose-free 3D Gaussian splatting from sparse views.arXiv preprint arXiv:2508.01171,.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond No pose at all: Self-supervised pose-free 3D Gaussian splatting from sparse views.arXiv preprint arXiv:2508.01171,

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.453801Z

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=2026-06-26T09:16:48.404199Z digest=sha256:7fbc00993295b4caf7a1ed3266151686e4136b01d1bdf67f9490de292cc91689

Observation ceb5d631-f2a4-4160-a9f4-c59ae2c26acf · outbound

This paper cites GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-04T09:59:45.445562Z

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=2026-06-26T09:16:48.404199Z digest=sha256:57b83028e2be8cd6671370b68e8544ced2448049c33c63d75d945693fd92901d

Observation e6a580de-8f0b-491d-b954-179b6813dca1 · outbound

This paper cites Anysplat: Feed-forward 3d gaussian splatting from unconstrained views.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond Anysplat: Feed-forward 3d gaussian splatting from unconstrained views

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.448364Z

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=2026-06-26T09:16:48.404199Z digest=sha256:96bb38ceb4d485404602407ab0b5ddf1a2a5888bdf1b913624c8a85841894394

Observation b741c907-b6f4-4ab1-a6e4-9fc48d5404e3 · outbound

This paper cites Tokensplat: Token- aligned 3d gaussian splatting for feed-forward pose-free reconstruction.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond Tokensplat: Token- aligned 3d gaussian splatting for feed-forward pose-free reconstruction

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.459548Z

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=2026-06-26T09:16:48.404199Z digest=sha256:2b852eac7067d8ab84f12923337acacce9b671f178cfa5f9af04571710f90c36

Observation ac350226-e889-4bfb-981d-68ebb5fa5e37 · outbound

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

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond DINOv2: Learning Robust Visual Features without Supervision

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-04T09:59:45.450934Z

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=2026-06-26T09:16:48.404199Z digest=sha256:31a898fbec2defcff1a2663e2bb823debb9e7eff28c8af35fe0824281f53a3e6

Observation 5cc1e7f2-0891-442a-bea8-f45fc546f44c · outbound

This paper cites Zpressor: Bottleneck-aware compression for scalable feed-forward 3dgs.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond Zpressor: Bottleneck-aware compression for scalable feed-forward 3dgs

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:59:45.439848Z

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=2026-06-26T09:16:48.404199Z digest=sha256:0e1e2a3c9edcb9218cd806c3b0f89367dbbec7feee7665b82e4877ade521e39e

Observation 2e96618a-5100-4a01-a3ae-4271212df646 · outbound

This paper cites No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.436931Z

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=2026-06-26T09:16:48.404199Z digest=sha256:22b3290dc323e5ea478f05a6cb597dca7e3fbb7de0553969a7ff0ccae85c0ca4

Observation 93f54e44-14bb-4881-abaa-fd04f22a12d0 · outbound

This paper cites Yonosplat: You only need one model for feedforward 3d gaussian splatting.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond Yonosplat: You only need one model for feedforward 3d gaussian splatting

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.442651Z

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=2026-06-26T09:16:48.404199Z digest=sha256:b64ce1aab73f69de26647083c6a7e95baff2315f0622f55b2051de2844f1eea6

Observation 52f34f22-54d9-41bc-b86f-74fcbaa21ab3 · outbound

This paper cites Dagger ( †) marks Gaussian-space merging variants.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond Dagger ( †) marks Gaussian-space merging variants

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-26T09:16:48.404199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:16:48.404199Z digest=sha256:827a0965dd16f56a4fe2bf8c91b765a5bdbc929b18427e16ba606071dc667c32

Observation 6c0bf59a-e4e3-4357-9618-a80c7280d146 · outbound

This paper cites Table 7 shows that CanonicalGS transfers best across datasets while using fewer parameters than FreeSplat (Wang et al.,.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond Table 7 shows that CanonicalGS transfers best across datasets while using fewer parameters than FreeSplat (Wang et al.,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-26T09:16:48.404199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:16:48.404199Z digest=sha256:d22e1a49721b9bf475433f79bd9b2bd864d23746165339990751116b77e549c8

Observation 9a8bfe93-5efe-4b63-aa8a-dd40e0e46003 · outbound

This paper cites This result suggests that aggregating reliable evidence in scene space improves generalization, rather than merely increasing model capacity.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond This result suggests that aggregating reliable evidence in scene space improves generalization, rather than merely increasing model capacity

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-26T09:16:48.404199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:16:48.404199Z digest=sha256:ad2f75a3008e6f6bd71f8df712d0267131c620a2b1fda5c4722c6008b7bf0411

Observation 5cc81170-123d-4cd9-84f8-e5fdfe5ab1e5 · outbound

This paper cites an unresolved cited work.

Learning Stable Canonical Worlds for Novel View Synthesis and Beyond Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-26T09:16:48.404199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T09:16:48.404199Z digest=sha256:bcb6154a3e29bde8723156c0c3b4a3115ae0621c1d90779b29266a5e3b5ac82f

Pith citing papers

No inbound Pith citation observations are available.