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Paper Citation Record · LEDGER

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs

As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.14415.

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

pith.paper-citation-record.v1
2607.14415 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:11:51.866695Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c026584-107b-457e-bf75-3e025351b0cf · outbound

This paper cites New England Journal of Medicine357(22), 2277–2284 (2007).

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs New England Journal of Medicine357(22), 2277–2284 (2007)

Reference 1

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no resolver link, observed 2026-08-02T02:11:50.101403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.101403Z digest=sha256:5fc15b3ebc6aae63c42408e61531d207d3c45b209642ac798d7fbab6525bb104

Observation 246f232e-58a6-4a55-8f6d-e6020afead58 · outbound

This paper cites Structure-Aware Sparse-View X-ray 3D Reconstruction.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs Structure-Aware Sparse-View X-ray 3D Reconstruction

Reference 2

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unresolved
no resolver link, observed 2026-08-02T02:11:50.180771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.180771Z digest=sha256:e5c30b78cb2032ab9564db732e5feed4f02e4a453db19a32248332ef7552db75

Observation e7a762a8-4ff1-4c34-9527-d1d1959c4c4f · outbound

This paper cites In: Proceedings of Machine Learning and Systems 2020, pp.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs In: Proceedings of Machine Learning and Systems 2020, pp

Reference 3

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unresolved
no resolver link, observed 2026-08-02T02:11:50.275717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.275717Z digest=sha256:398944a62826c12e6fbe1c821d64a29524ce8c7c05869092c23369c82cf7e6a5

Observation b9b62f97-a054-4804-af64-5cad4af16d35 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs Adam: A Method for Stochastic Optimization

Reference 4

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unresolved
no resolver link, observed 2026-08-02T02:11:50.388187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.388187Z digest=sha256:8ea9a8782c2323e04846e9ed200bba1ff5a25f0595f2722c2f2bc32f7894e257

Observation fc29e16c-5a32-4955-9284-40999a687044 · outbound

This paper cites In: ECCV (2020).

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs In: ECCV (2020)

Reference 5

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unresolved
no resolver link, observed 2026-08-02T02:11:50.545799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.545799Z digest=sha256:932d72a87c4b854ad87c8000882e1c0636ee3d3286fde278ef99d5f56d0b0d35

Observation 91dc51eb-fb50-401d-b46f-df1d7e4437e7 · outbound

This paper cites In: Encyclopedia of Biometrics, pp.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs In: Encyclopedia of Biometrics, pp

Reference 6

Resolution
verified exact
doi, observed 2026-08-02T02:14:03.358875Z

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=2026-08-02T02:11:50.640704Z digest=sha256:34fbe01e3ebe3a54cf7c9a61bf017abecb3225406c135f2816838313e34d7f43

Observation 1547d8ae-e6d8-4c19-825b-c06c5c3bd864 · outbound

This paper cites NeAT: Neural Adaptive Tomography.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs NeAT: Neural Adaptive Tomography

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T02:11:50.709049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.709049Z digest=sha256:975b5a10885532ba8dff086e6d1540345c21fb1955be0ed50aae47fe173acdcc

Observation 3fab65bc-bbb7-4862-aa34-a2b8eabb27c1 · outbound

This paper cites NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction

Reference 8

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unresolved
no resolver link, observed 2026-08-02T02:11:50.831188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.831188Z digest=sha256:5f6c135d98b73de305baf6bf22add5f8cf743350d0a19e12fa378ff15652bb23

Observation 2ff2ecfa-65e4-43ba-b026-d972c53c1fba · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 9

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unresolved
no resolver link, observed 2026-08-02T02:11:50.994316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.994316Z digest=sha256:a54fc1fde09b667cc107a42258593e621f89a618abd9bf22aa296313f9b43bbc

Observation 517a690c-0f55-44d1-8dba-c469a1461ce7 · outbound

This paper cites IEEE Transactions on Image Processing 13(4), 600–612 (2004).https://doi.org/10.1109/TIP.2003.819861.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs IEEE Transactions on Image Processing 13(4), 600–612 (2004).https://doi.org/10.1109/TIP.2003.819861

Reference 10

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unresolved
no resolver link, observed 2026-08-02T02:11:51.133252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:51.133252Z digest=sha256:787f430667ae0f7f8d3843e37a7c9216c32dc2f9e382dbe4d19cb9ec7b5ba9e6

Observation d083ec59-6a05-4f4d-9748-e40394c21a21 · outbound

This paper cites ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces

Reference 11

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unresolved
no resolver link, observed 2026-08-02T02:11:51.242155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:51.242155Z digest=sha256:02ba89e917fdb4139a0f2287c62e0098aa272ed1511e85bec79a6ea26f129fc7

Observation 2629e159-4ff7-4994-9c30-0a0c30e9cba7 · outbound

This paper cites In: Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29 – October 4, 2024, Proceedings, Part XXII.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs In: Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29 – October 4, 2024, Proceedings, Part XXII

Reference 12

Resolution
verified exact
doi, observed 2026-08-02T02:14:03.156634Z

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=2026-08-02T02:11:51.390179Z digest=sha256:026ce3d0ce8e45a0350a77a129302bcbdf8d827186ade92787218a784db945e2

Observation 4c084ffb-9307-4c50-bfdc-b72d23482494 · outbound

This paper cites In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T02:11:51.592450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:51.592450Z digest=sha256:8b59f52d76d6f8b76b5a098686e87d3bf24348db9c6f971a4af2a1741e3692a1

Observation 248cf92e-458d-47fc-b194-35ebebffe9e2 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Reference 14

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unresolved
no resolver link, observed 2026-08-02T02:11:51.726802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:51.726802Z digest=sha256:40bc80120724399d912a24191b2ff57cec9c7c369538e87580accdc45ddc357b

Observation 4d3c8a25-7dc5-49b6-b688-3e4e306897a3 · outbound

This paper cites NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs NeAS: 3D Reconstruction from X-ray Images using Neural Attenuation Surface

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T02:11:51.866695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:51.866695Z digest=sha256:a7e42bb0fbea11a32238e0214f83e1da3f816a51066f611571257c80450790c9

Pith citing papers

No inbound Pith citation observations are available.