Paper Citation Record · LEDGER

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2411.03688.

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

pith.paper-citation-record.v1
2411.03688 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:24.501908Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:57.372782Z

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 43732112-aa17-45d3-b98d-8245d69b35f7 · inbound

Sampling Theory for Super-Resolution with Implicit Neural Representations cites this paper.

Sampling Theory for Super-Resolution with Implicit Neural Representations Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:53:48.414129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 664ee2a3-d298-40b5-b119-220c6aa386b1 · inbound

Grids Often Outperform Implicit Neural Representations at Compressing Dense Signals cites this paper.

Grids Often Outperform Implicit Neural Representations at Compressing Dense Signals Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:24.501908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba86197-82e4-4632-984a-ef82907c101c · inbound

Physics-Guided Dual Implicit Neural Representations for Source Separation cites this paper.

Physics-Guided Dual Implicit Neural Representations for Source Separation Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:34:36.377198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73610d2d-8186-4d68-b7da-bbcd61dfefbb · inbound

Multi-resolution Enhancement for Full Spectrum Neural Representations cites this paper.

Multi-resolution Enhancement for Full Spectrum Neural Representations Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T16:20:11.107842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d211e9-9391-47dc-b38f-8db35f8dd760 · inbound

Weight Space Representation Learning via Neural Field Adaptation cites this paper.

Weight Space Representation Learning via Neural Field Adaptation Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T19:13:30.735580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2240fc62-1136-4da8-8398-296966591cc0 · inbound

Adaptive Local Frequency Filtering for Fourier-Encoded Implicit Neural Representations cites this paper.

Adaptive Local Frequency Filtering for Fourier-Encoded Implicit Neural Representations Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:53:11.511479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa0af174-34c5-44b9-810e-b81982493e57 · inbound

Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data cites this paper.

Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:52.225951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b33b83f-c017-4a4e-a980-28ddcb1f05f2 · inbound

Frequency-Decomposed INR for NIR-Assisted Low-Light RGB Image Denoising cites this paper.

Frequency-Decomposed INR for NIR-Assisted Low-Light RGB Image Denoising Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:31:59.943469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ffcea67-feb4-4395-a0b3-02af1820f799 · inbound

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement cites this paper.

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:07.947889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af04e3ef-7aef-4318-84e4-aba2bda3976e · inbound

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement cites this paper.

Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:58.571655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ccfd411-461a-4b19-826f-8353eaa7d238 · inbound

AIR: Amortized Image Reconstruction Framework for Self-Supervised Feed-Forward 2D Gaussian Splatting cites this paper.

AIR: Amortized Image Reconstruction Framework for Self-Supervised Feed-Forward 2D Gaussian Splatting Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:19:39.451378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11367115-fb2d-4651-9434-cf3128d0c39a · inbound

ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation cites this paper.

ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:36:14.146370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d859c260-6153-4cc8-9b11-3930000501c1 · inbound

JA-SIREN: Deterministic Initialization for Sinusoidal Networks via Spectral Matching cites this paper.

JA-SIREN: Deterministic Initialization for Sinusoidal Networks via Spectral Matching Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:36:57.374378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51ea4c7b-19e1-4986-9f7b-4c66cfc97a1e · inbound

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping cites this paper.

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T10:44:02.405890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aec0229-cf9f-4e08-b3bc-2d9b60775632 · inbound

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping cites this paper.

PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-01T10:44:13.246499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.