Pith. sign in

Paper Citation Record · LEDGER

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling

As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2605.18599.

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

pith.paper-citation-record.v1
2605.18599 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T11:02:32.366050Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

48 of 48 outbound references displayed

  • verified exact19
  • verified fuzzy25
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00287fab-c86d-4052-adec-585b18c64da9 · outbound

This paper cites Why do LLMs attend to the first token?.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Why do LLMs attend to the first token?

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.394408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:5832a6b72a580f6371b46ea57fb019938edf13f8a6320811d454d8b887cabb9c

Observation 9ff54779-9354-4f44-b859-c90d28e5c87d · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.385685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:37532eed775792606c65d47276f08317ae3850f34fbe0b75e3fc731156dd5d12

Observation ba2a9cc1-0985-4f04-9262-32331a54ddd3 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.377168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:7703f672843bfd667a9f05c02b1fb37671f5c2ac6d631cabcac9cb60ff4b7355

Observation 48622f9c-6b42-4cf6-962e-fb1e2feb48b0 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Emerging properties in self-supervised vision transformers

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.279218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:bd4ee3ac7fb53cbb8c49a5eef5529408b89989def67111eb0988a6fa95442c06

Observation c3c38450-b47a-40e6-a496-bdf09fd6620b · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.277404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:4914f746134cd8db0f73a0405f618aa991bc41cb185bd84ec9dd1e161190e912

Observation 6f9ab943-8c32-4667-9cb6-87b7fd12e13c · outbound

This paper cites Vision transformers need registers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Vision transformers need registers

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.295773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:408302a628dd91484be2839f1072d3cb15e157bc42e42ebf753be65e4c566d07

Observation bab7f648-9514-4c95-9f1e-24165fa07026 · outbound

This paper cites Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.297785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:782b11c1ed70f441aa392420e75507093a4021ae1d7b160cbd4d79a63bf28495

Observation 6dc734b2-7b27-4cde-9b8c-51a35d46f564 · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Objaverse: A universe of annotated 3d objects

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.299617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:c3834232bf6ebcdb13ce5895bcc3288a99045483a3bf1ded5a39c9743a272adb

Observation 49d69f18-fdbf-4ea3-8fb8-601e85ba6f77 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.301709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:1e2e0d5100acf71450d730478c3ff1cfab26f7cc9461098b96b97f162a3cfee1

Observation d67e2a67-a66d-49e6-b9f7-cc471c4d99e5 · outbound

This paper cites Lrm: Large reconstruction model for single image to 3d.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Lrm: Large reconstruction model for single image to 3d

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.303435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:f9ed8e1c6d18c6cd69bf544788ea6b15f801003721ccc87031f2aa755bca414a

Observation cd8f46ea-595e-48d9-9fa2-84e7a297a77d · outbound

This paper cites Efficient-lvsm: Faster, cheaper, and better large view synthesis model via decoupled co-refinement attention.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Efficient-lvsm: Faster, cheaper, and better large view synthesis model via decoupled co-refinement attention

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.371895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:2ccd180fe8a2daf053bf17fbe14041c0cefd47d5447ed34c6be68e18bd27c142

Observation aba8a388-22e2-404f-ba27-62ae7f923bd8 · outbound

This paper cites RayZer: A Self-supervised Large View Synthesis Model.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling RayZer: A Self-supervised Large View Synthesis Model

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.366493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:408d51354b272646b3cceb6744955de645e4299bfcfbf54734f3ae641ba0dc08

Observation c82c8560-8f14-481f-8056-eded1b322197 · outbound

This paper cites Lvsm: A large view synthesis model with minimal 3d inductive bias.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Lvsm: A large view synthesis model with minimal 3d inductive bias

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.275595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:829b19bd419173cac33e3b0e2630771e581981c9869ed97418986e808e93681a

Observation 98c5dd99-64f5-4c3f-8cd7-25bd9564b2d2 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Perceptual losses for real-time style transfer and super-resolution

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.291841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:be982c8831c37985805e04d5c799802525db7a160360a7ef154793e31e245992

Observation 87953b34-6767-4707-90fe-fd4205efaef1 · outbound

This paper cites iLRM: An Iterative Large 3D Reconstruction Model.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling iLRM: An Iterative Large 3D Reconstruction Model

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-02T02:04:07.386055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:77c572032cdfa91f8467e302941233830868ff2722a5c280ac17d716d3c18f3e

Observation cfecd887-1470-4fc4-a0d6-20b1271495e2 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (TOG), 42(4): 1–14.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (TOG), 42(4): 1–14

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.286960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:ba7713e5c68c928ffda02672ab35878fe4632c2a0877a40a02656ecd03a639d9

Observation 5c49d04e-b915-4064-b981-c67b042f9120 · outbound

This paper cites and Giese, M.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling and Giese, M

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:03:13.363713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:5ee5b888d371332264e781a4267cd5040eb54c901f1427e8e99871dd94f24ee9

Observation 076073ce-50ce-47c3-b689-b4c922de2a04 · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.388685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:b5a42cb7aa4f995cebe6ffbd407a5b9a94592bd1d0b533947fdc54e14d68cad9

Observation 7eadee0a-dd9b-4da3-8e2c-93448639adfd · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Depth Anything 3: Recovering the Visual Space from Any Views

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.369120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:010d3541ad35756ed9ae33524d82eefb2975537f26c01fef7f4c845d1fb677b9

Observation 97b843e0-e457-4021-9901-b330135ebdc2 · outbound

This paper cites Scaling Sequence-to-Sequence Generative Neural Rendering.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Scaling Sequence-to-Sequence Generative Neural Rendering

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.357943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:64b0be8fd3fcc14432cc4a9b97ea5e11db54551658b6acdaad57578ac73bd19b

Observation 1d913046-b70f-47d3-a3d0-38d7097e642c · outbound

This paper cites Decoupled weight decay regularization.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Decoupled weight decay regularization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.285067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:5d06cc3a05ffa12d508e0349575d09138f63e514c5226b791d33ebfc92c0ec6a

Observation 1416acf9-102e-436f-95b5-d9746f46abfa · outbound

This paper cites Revisiting [cls] and patch token interaction in vision transformers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Revisiting [cls] and patch token interaction in vision transformers

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.374459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:408016ba298c6f9103b99dd19dc873b664cd79370dcfae7be7b2444a19e757b1

Observation 4fd1bec4-fc2a-4ce8-ab85-e03b077930eb · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.289830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:95946d5b14fd2bf764d7d7a2d7beb602fd93dbb99e82b88ff6f391b0b0c4a227

Observation e202dd69-0974-4a16-b443-c24e1ddf6f20 · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling DINOv2: Learning Robust Visual Features without Supervision

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.391323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:08d14eda1a7f095c242232a9229d754b900e6261be291bf521257b0d6f24d8c2

Observation e1cb049c-76f1-4c19-8dc3-a132a52f7575 · outbound

This paper cites FiLM: Visual reasoning with a general conditioning layer.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling FiLM: Visual reasoning with a general conditioning layer

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.293632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:914c515c3b8e88a1207de6dfa760d80e5ab4056c5f9e6cb5672d2a823dfc04f9

Observation 40b5e5ae-1936-4340-be82-7a3ca64f96d2 · outbound

This paper cites On a new geometry of space.Philosophical Transactions of the Royal Society of London, 155:725–791.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling On a new geometry of space.Philosophical Transactions of the Royal Society of London, 155:725–791

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.283039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:76c48138a2ba043a9f219c6185ba300ce467db9b5941adc8ddab8a705d0500d5

Observation 22b77ff7-216f-44ab-847f-40c017102167 · outbound

This paper cites Denoising vision transformers.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Denoising vision transformers

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.281017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:c4eb7f8c42b76ed248f5820221a0f8b41c24fdfa736a3e0a579436ec5138ff22

Observation 7ef25d62-0879-427d-bbaf-16d215fa897d · outbound

This paper cites DINOv3.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling DINOv3

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T11:03:13.382943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:c2eced08fad16a22260b4436eaed394ff181259c064722b556cbb4a8aac67558

Observation 47cdbc06-7fe9-4f3e-a072-7c35dea5887f · outbound

This paper cites What matters for representation alignment: Global information or spatial structure?.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling What matters for representation alignment: Global information or spatial structure?

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.400354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:13ac769d764d9f7354f549637fc09869010072a88f63863e4a99b30449e07d59

Observation 54e036b6-a8fc-48de-8bfe-34d7c147b8d0 · outbound

This paper cites U-repa: Aligning diffusion u-nets to vits.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling U-repa: Aligning diffusion u-nets to vits

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.417057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:c6e3b67400e1e9cae3f0bd169dfbe87459cb6aeb4083edd72630c7ab584c0fa9

Observation bd7326a6-76f8-4fa2-a97d-eedd084bd3d3 · outbound

This paper cites Least-squares estimation of transformation parameters between two point patterns.IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(4):376–380.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Least-squares estimation of transformation parameters between two point patterns.IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(4):376–380

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.318847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:6e4650a04fc2d6b44b614ef913fdce7b19ac37cabbfcb56c62863d9246d2943c

Observation 5ca670f2-0a6b-4d0a-9eec-c4986391dbec · outbound

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

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Least-squares estimation of transformation parameters between two point patterns

Reference 32

Resolution
verified exact
doi, observed 2026-05-20T11:03:13.075336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:f136582ce2137b3b708958604819175c9cf4bf5ac780e51d07c5990ca4715020

Observation fab1072b-f118-4f7a-9334-692452551089 · outbound

This paper cites Ibrnet: Learning multi-view image-based rendering.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Ibrnet: Learning multi-view image-based rendering

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.322636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:61cbb3be5d58a136e0518aa26ff41e14a28a56341ffa520ce1cf28ab943d1441

Observation 7d038493-3233-495f-9437-2f65bceb0e69 · outbound

This paper cites MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.408956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:189beb8cc00190f027729cea2774a80268cfa1dd1c53a558ba85b1637bb03b49

Observation 50966bdf-5016-4c73-b667-99ba402ca26d · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Dust3r: Geometric 3d vision made easy

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.316826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:49ef2f52ae573508aed649767703fe9c6e0074c28f599eb6cea92c9087d793d3

Observation dc557af4-5b39-4208-9799-5e0168089cc2 · outbound

This paper cites Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Processing, 13(4): 600–612.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Image quality assessment: From error visibility to structural similarity.IEEE Transactions on Image Processing, 13(4): 600–612

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.312985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:a650a392c7abe2713f4b4dc48dd48e538d67363998f83a349ecc12da21ef38ef

Observation 35165ec0-430b-4f96-a2dc-04b3241928a2 · outbound

This paper cites From rays to projections: Better inputs for feed-forward view synthesis.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling From rays to projections: Better inputs for feed-forward view synthesis

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.411606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:fde6d9bf932a1f41be71a04cf51e1467592cfc311fe23ba405a184d9220a00df

Observation 3018a865-42e9-4103-8628-5d3826ec9d15 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Depth anything: Unleashing the power of large-scale unlabeled data

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.311099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:0724d698fa53f3190d203777ebf9efe8b9e26e6df3d67091b8637c4690d4ff65

Observation 8055545f-74f3-4d2d-9b94-bd2c3dce50e9 · outbound

This paper cites Depth Anything V2.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Depth Anything V2

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.414179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:2866732c9ca64e502961bec036d29898de867d06bbc8dfd04abb235ccc61b4c7

Observation 03a1c0b0-920c-4b73-b6ec-fb856f0348ae · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling pixelnerf: Neural radiance fields from one or few images

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.315017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:d276a48388af029d255a3f2b9e49cc727b3e07ebcc9641c043e96eb6fa13151a

Observation 4ce068ef-02ac-4c25-98a9-27985a497580 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.405757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:e1c8d6d60d1238d790db3642072fa4c2dce2ce423766d1e7ef0a0300c1b445ec

Observation 0a408cc8-31ff-4143-93cd-b62fc8847ede · outbound

This paper cites Gs-lrm: Large reconstruction model for 3d gaussian splatting.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Gs-lrm: Large reconstruction model for 3d gaussian splatting

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.307357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:c01ec5b7e42ba6ea5cd309b43c228ef4978e130c9a35f3efbb1da939da6bb113

Observation cbd41d1a-835c-42f3-903d-4361670a4224 · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.305242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:cace9174ea307b0b7f115be727301e9e0a08c5210916618ed85c578a21014b82

Observation 819e58c0-308b-4a8b-8e3f-a20492ce18be · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Diffusion Transformers with Representation Autoencoders

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:03:13.380279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:d357a9786d3479dc4f588f48c11829cda4bff60fe029869cb049b03629080cab

Observation 56d1c465-0cee-4126-b41f-774e5fc1258b · outbound

This paper cites Stable Virtual Camera: Generative View Synthesis with Diffusion Models.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Stable Virtual Camera: Generative View Synthesis with Diffusion Models

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:03:13.397259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:2b8df1c68c6621f1d8a3e102292623d37d2b1aced57e922661b7edcde09e6e3c

Observation ef83b941-48e0-4f4c-bd5b-ccfb4c721419 · outbound

This paper cites Stereo magnifi- cation: Learning view synthesis using multiplane images.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Stereo magnifi- cation: Learning view synthesis using multiplane images

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.320714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:be38d93d1ba1300592bb331b60e4aad184748d3cb30b8ee4fcd04e2b1ce5f003

Observation 507df643-b2b0-4681-b660-b98571531f28 · outbound

This paper cites Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats

Reference 47

Resolution
malformed identifier
arxiv_id, observed 2026-05-20T11:03:13.403020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:50d3c32414b694165ddb66bd1616cdd2a924354014ee0eceec1b97d819dedb44

Observation b646ad1e-d69b-4eca-b0ca-1d0ab530a8c1 · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:03:14.309251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T11:02:32.366050Z digest=sha256:b533542cd1df19b1b9c06e407dd0fb097cbde8523b2365b57a610fb35a5dc175

Pith citing papers

No inbound Pith citation observations are available.