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Paper Citation Record · LEDGER

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution

As of 17 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2505.00046.

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

pith.paper-citation-record.v1
2505.00046 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:13:14.847538Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:10.128500Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:41:10.802356Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48450eec-dc3b-4f74-bbd9-66867bab8367 · outbound

This paper cites NeRV: Neural Representations for Videos,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution NeRV: Neural Representations for Videos,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:15.067702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.783807Z digest=sha256:6f43c674c4a9a4c33d457da2afb4187429ce7ecc54e7045c3e0392e7e163e5a5

Observation c36f214c-7e03-4fd0-b471-db9022069d6d · outbound

This paper cites FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:15.054699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.788447Z digest=sha256:2a31f5addbbbc330a1a9b8ad9798fa632a7bb9cb6b0b1e4780bbb7a45a2c6613

Observation 97536473-98e4-4dcc-890c-c5b02eea9028 · outbound

This paper cites NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:15.041924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.792126Z digest=sha256:a735878856ef46869ff2e35e4b69a8dc79573bc49f68cfea5f3f2ef32206a482

Observation 71523207-4c73-4b54-a92d-ea2f6da0e9b6 · outbound

This paper cites Implicit Neural Representations with Periodic Acti- vation Functions,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution Implicit Neural Representations with Periodic Acti- vation Functions,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:15.030669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.796108Z digest=sha256:bc72e59468c4627c4a222b7bfbecd92ef1e75a032cca99653bb211ae54db4516

Observation 6e10ec88-7ba0-4b65-ae51-a6f070be08bd · outbound

This paper cites HNeRV: A Hybrid Neural Representation for Videos,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution HNeRV: A Hybrid Neural Representation for Videos,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:15.017871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.800412Z digest=sha256:1754483a83ef4c2b197c50362b0bbe350fa2719505a82a0916483820ee05ac0a

Observation 590533ae-a989-44ab-9d0d-2a433c7f96c3 · outbound

This paper cites DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:15.005970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.805327Z digest=sha256:6459eccccfe26a3b0b73d97be41b7d7454260cfea8650ec7e8ccc06cb3d205d3

Observation c0cf7f59-a6bb-4d97-8d6c-19e3e1f44495 · outbound

This paper cites PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.994561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.810582Z digest=sha256:20938181c9fcbbf5a745a33bc242ab5bb11393c9aaf59241a6e2460819fd61ed

Observation 8cb752da-977f-4d17-a13e-3a89b42e1b55 · outbound

This paper cites Neural Video Representation for Redundancy Reduc- tion and Consistency Preservation,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution Neural Video Representation for Redundancy Reduc- tion and Consistency Preservation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.983569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.815008Z digest=sha256:307610e38acd128088255df3dfdc52b95df5fbae60d6d043cc890ea82220d162

Observation 0d202a9b-5656-445b-9496-fc34793ea43c · outbound

This paper cites Implicit Neural Representation for Videos Based on Residual Connection,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution Implicit Neural Representation for Videos Based on Residual Connection,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.972465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.819467Z digest=sha256:06468be6b38a5b3b4cb20f65e8867266e7f259d918b4a2af2e64f573db78a708

Observation e17ee641-7859-4f4f-838d-6dd4b658354a · outbound

This paper cites Image Super-Resolution Using Deep Convolutional Networks,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution Image Super-Resolution Using Deep Convolutional Networks,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.961747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.823450Z digest=sha256:529cc31f0b97c8fa0b3dd898bd211d87a5eaf84ec5c06a71ca05ef6e9c6f67b5

Observation 85f79e52-819f-40a7-a7c6-78f5b2c4e210 · outbound

This paper cites Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.950002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.828001Z digest=sha256:d23224618548170fcc955eeaab1db21577756b99d809876985d1febffd5a5b7c

Observation cc4d743b-2d6a-4e1d-b3ef-7eeca54613ef · outbound

This paper cites ESRGAN: Enhanced Super-Resolution Generative Ad- versarial Networks,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution ESRGAN: Enhanced Super-Resolution Generative Ad- versarial Networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.937805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.831890Z digest=sha256:5c55008a9e26c46e8a7cbf4d4e39c822dedede25ee2115537e7c9933b66f8640

Observation ab18f351-5b86-4275-a02d-1523b1f5edd1 · outbound

This paper cites NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.924839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.835813Z digest=sha256:32e61cf3161b8f6a13d3280e39acb64141c206aa10f6ce4c01d5020c604a6e19

Observation 72492470-e7e3-4c56-bbda-9d943af18480 · outbound

This paper cites NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.907703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.840303Z digest=sha256:70a643cb1f7baf284cb659cf9de11a10eb7f122ee80dbbf756839c0620d1d1ba

Observation c557ed6a-f9cf-4a61-a013-a20941113dcd · outbound

This paper cites A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.893960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.844061Z digest=sha256:d77a0ffee1a38d5f44b66826b3d03f001c3dbc0c4dc6f3f86671a741c1e619d8

Observation 2a6dd4d5-5bb5-497b-866e-54b46d192e48 · outbound

This paper cites MCL-JCV: A JND-based H.264/A VC video quality assessment dataset,.

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution MCL-JCV: A JND-based H.264/A VC video quality assessment dataset,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:13:14.882398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T05:13:14.847538Z digest=sha256:d151e9e4810fd4062e5e59e8cac86b1a1b153b93ee033bdb6291d1d9b01740fe

Pith citing papers

Observation 309521b2-30d4-43ee-a465-7400a9b1f009 · inbound

Structure-Preserving Patch Decoding for Efficient Neural Video Representation cites this paper.

Structure-Preserving Patch Decoding for Efficient Neural Video Representation SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution

Reference 30

Resolution
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local_arxiv, observed 2026-08-07T00:41:10.870049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T00:41:10.128500Z digest=sha256:e2dec217c5f4717ef39d7e01111e59f3f1db476c6bd8e37f19762cc0ec6efbe5