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Paper Citation Record · LEDGER

Optimizing the Latent Space of Generative Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1707.05776.

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

pith.paper-citation-record.v1
1707.05776 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:30:17.888305Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T10:34:20.476047Z

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 ff70119a-22bf-43d2-b57e-0350e7f71792 · inbound

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) cites this paper.

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) Optimizing the Latent Space of Generative Networks

Reference 119

Resolution
verified exact
local_arxiv, observed 2026-05-24T10:34:20.479332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T10:32:20.149563Z digest=sha256:8e4532cf886f48c31c0973c25cb3205f9a4ccbc560511c9185c2e7a6fed83d36

Observation 18c80956-af76-4312-9e1c-9349b1cb7fd0 · inbound

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery cites this paper.

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery Optimizing the Latent Space of Generative Networks

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-24T00:33:40.021243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T00:30:28.026195Z digest=sha256:06167d7587926c37a0c95d3fa8e60dd6ae50fbab13efbc43888ed10a6ca8a0e9

Observation fbff703a-b720-477d-a675-503ea7ab85d1 · inbound

CodePhys: Robust Video-based Remote Physiological Measurement through Latent Codebook Querying cites this paper.

CodePhys: Robust Video-based Remote Physiological Measurement through Latent Codebook Querying Optimizing the Latent Space of Generative Networks

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T12:30:17.888305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:30:17.888305Z digest=sha256:a3a07eedbdcc3f383b512e8c767f261c2474b2aaf8ea980a2fed779222884551

Observation 9dbfa9fd-3eae-4555-90bc-c23e330b5dc8 · inbound

Tessellations of Semi-Discrete Flow Matching cites this paper.

Tessellations of Semi-Discrete Flow Matching Optimizing the Latent Space of Generative Networks

Reference 103

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:10:53.651331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:37:06.288757Z digest=sha256:64cf05a0e39d9e5c2da860c0014a4664206664e696df12b132111dd26b387eee

Observation 3649fd1a-a88d-4d24-b572-d049fb918f8e · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Optimizing the Latent Space of Generative Networks

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:31:25.133352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T05:12:29.853347Z digest=sha256:5c83fd6ac0427419294c942a3e9cd99b29fd3044010d1e58dfd579fff246b9df

Observation 8b0443ee-0c24-4675-accf-c54c5ae48278 · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Optimizing the Latent Space of Generative Networks

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T22:29:09.733403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T22:25:08.497485Z digest=sha256:392da4d71c05df139b1b346acf99ee515a43909f8aa287469dc48cd1804002a1

Observation 21fa1f9d-d30b-4ae0-95bc-65f0a015ac74 · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Optimizing the Latent Space of Generative Networks

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T08:04:02.586112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T08:03:02.821995Z digest=sha256:a9746d022030df0488c76a613b5dbc00b27d26e1235d7b8350e38d0fa67cc839

Observation a3462fe4-6751-47cc-8649-83e8b0f3404d · inbound

Soft-Constrained Optimization of Latent Space in Variational Autoencoders cites this paper.

Soft-Constrained Optimization of Latent Space in Variational Autoencoders Optimizing the Latent Space of Generative Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-30T13:42:10.501443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:42:10.501443Z digest=sha256:b86fedf3eaa7e081715e1d140b026ae7f75b888635ab861751d88186941be2ce