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Paper Citation Record · LEDGER

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.15912.

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

pith.paper-citation-record.v1
2507.15912 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:27:05.369649Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

40 of 40 outbound references displayed

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  • verified fuzzy35
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91598ac7-f1a2-405a-b63f-31a4c50d97d5 · outbound

This paper cites Multi-Objective Latent Space Optimization of Generative Molecular Design Models.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Multi-Objective Latent Space Optimization of Generative Molecular Design Models

Reference 2

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation beb8802b-5aa8-4902-b65d-04ae7532221e · outbound

This paper cites Chapter 16 - Targeted Hybrid Capture for Inherited Disease Panels.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Chapter 16 - Targeted Hybrid Capture for Inherited Disease Panels

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation adbb1ebc-6ba9-4b65-b012-9c8690e6d458 · outbound

This paper cites MolGPT: molecular generation using a transformer-decoder model.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder MolGPT: molecular generation using a transformer-decoder model

Reference 4

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Source-reported events for the cited work

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Observation 06dc619e-13a0-4003-b19e-13753bcf9a7c · outbound

This paper cites Application of generative autoencoder in de novo molecular design.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Application of generative autoencoder in de novo molecular design

Reference 5

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Source-reported events for the cited work

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Observation f10ef593-58a9-4665-a2ee-dac09726970d · outbound

This paper cites Designing RNA secondary structures is hard.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Designing RNA secondary structures is hard

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a619de08-273e-420b-a534-ad99dc3eede2 · outbound

This paper cites Evidence that microRNA precursors, unlike other non-coding RNAs, have lower folding free energies than random sequences.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Evidence that microRNA precursors, unlike other non-coding RNAs, have lower folding free energies than random sequences

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f058a80d-e15a-46de-83da-b86ff1b6561f · outbound

This paper cites Causes, functions, and therapeutic possibilities of RNA secondary structure ensembles and alternative states.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Causes, functions, and therapeutic possibilities of RNA secondary structure ensembles and alternative states

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 77cd97df-b7e5-448b-8ee1-6ddade98e94e · outbound

This paper cites The distribution of RNA motifs in natural sequences.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder The distribution of RNA motifs in natural sequences

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1e70b9bb-284c-48e0-8248-7df5d3bb6795 · outbound

This paper cites INFO-RNA—a fast approach to inverse RNA folding.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder INFO-RNA—a fast approach to inverse RNA folding

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3cb35bf3-5f22-4739-afd8-bd2b750ee882 · outbound

This paper cites The autoencoding variational autoencoder.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder The autoencoding variational autoencoder

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 14238c9a-b268-4587-8dda-80478fa7846c · outbound

This paper cites A structural interpretation of the effect of GC-content on efficiency of RNA interference.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder A structural interpretation of the effect of GC-content on efficiency of RNA interference

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ed069054-5847-4637-b65d-e7d1327be38b · outbound

This paper cites Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b740e2ed-3b75-4b42-b165-e74e91ee7bc8 · outbound

This paper cites Cambridge university press, 1998.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Cambridge university press, 1998

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2965acbd-f7bf-45f8-87a7-46f909d936a5 · outbound

This paper cites Solving the RNA design problem with reinforcement learning.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Solving the RNA design problem with reinforcement learning

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b1eba81d-dd71-479b-b076-e11e7337190a · outbound

This paper cites Inside-outside and forward-backward algorithms are just backprop (tutorial paper).

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Inside-outside and forward-backward algorithms are just backprop (tutorial paper)

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fe11f3f4-54a9-439b-967d-fbf8049b80f4 · outbound

This paper cites ERD: a fast and reliable tool for RNA design including constraints.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder ERD: a fast and reliable tool for RNA design including constraints

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 158172c4-a568-446a-a040-fe22316a0f13 · outbound

This paper cites Probabilistic transformer: Modelling ambiguities and distribu- tions for rna folding and molecule design.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Probabilistic transformer: Modelling ambiguities and distribu- tions for rna folding and molecule design

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 39e940e0-0e4f-4cdb-8ede-e482832b3f5d · outbound

This paper cites Boltzmann probability of RNA structural neighbors and riboswitch detection.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Boltzmann probability of RNA structural neighbors and riboswitch detection

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1337ba9f-6741-4b2e-99f6-d63e257c7988 · outbound

This paper cites Automatic chemical design using a data-driven continuous representation of molecules.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Automatic chemical design using a data-driven continuous representation of molecules

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8a7c5a2a-2079-4ec0-81dc-e736c0cb464c · outbound

This paper cites Evolving methods for rational de novo design of functional RNA molecules.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Evolving methods for rational de novo design of functional RNA molecules

Reference 21

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raw_fallback, observed 2026-08-06T15:27:05.603380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b495b2cc-ab1c-4cfa-ad66-fa39cb325316 · outbound

This paper cites Generative aptamer discovery using RaptGen.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Generative aptamer discovery using RaptGen

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ac2cc2b4-d0b7-4fc2-8e32-319ea61e6344 · outbound

This paper cites druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular properties in silico.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder druGAN: an advanced generative adversarial autoencoder model for de novo generation of new molecules with desired molecular properties in silico

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e65cacff-d344-469c-ab54-9d50f4e68de5 · outbound

This paper cites De novo protein design for novel folds using guided conditional Wasserstein generative adversarial networks.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder De novo protein design for novel folds using guided conditional Wasserstein generative adversarial networks

Reference 24

Resolution
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raw_fallback, observed 2026-08-06T15:27:05.579068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 86d6887c-5760-4bd3-b7e0-09c8d828902d · outbound

This paper cites Grammars and reinforcement learning for molecule optimization.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Grammars and reinforcement learning for molecule optimization

Reference 25

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0d3aecd1-33f6-4682-8df8-baeb4b279148 · outbound

This paper cites Grammar variational autoencoder.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Grammar variational autoencoder

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c78edd14-3fa3-402b-b931-dad13e683724 · outbound

This paper cites Finding stable local optimal RNA secondary structures.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Finding stable local optimal RNA secondary structures

Reference 27

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raw_fallback, observed 2026-08-06T15:27:05.561009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b9420bf0-cc47-415a-9c80-55305a92ce4d · outbound

This paper cites ViennaRNA Package 2.0.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder ViennaRNA Package 2.0

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cc6be317-b6d0-4206-a683-9932a74a3f40 · outbound

This paper cites Identification of a motif that mediates polypyrimidine tract-binding protein-dependent internal ribosome entry.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Identification of a motif that mediates polypyrimidine tract-binding protein-dependent internal ribosome entry

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.542980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 09bb7697-20f9-4087-85e9-e48de685f3a8 · outbound

This paper cites RNAGEN: A generative adversarial network-based model to generate synthetic RNA sequences to target proteins.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder RNAGEN: A generative adversarial network-based model to generate synthetic RNA sequences to target proteins

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.534342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e1147d07-9a00-46e6-aee3-b7be3ba36102 · outbound

This paper cites Variational autoencoder.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Variational autoencoder

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.525301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e30248e2-fd21-414b-a370-a6f2dc70159d · outbound

This paper cites A weighted sampling algorithm for the design of RNA sequences with targeted secondary structure and nucleotide distribution.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder A weighted sampling algorithm for the design of RNA sequences with targeted secondary structure and nucleotide distribution

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.517297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a9ec27af-eff1-4f74-a265-d736fc00a9ff · outbound

This paper cites Towards Automated Design of Riboswitches.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Towards Automated Design of Riboswitches

Reference 33

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verified exact
local_arxiv, observed 2026-08-06T15:27:05.418669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6c261c3c-8c50-4234-bd27-35ffc7a776ee · outbound

This paper cites Learning to Design RNA.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Learning to Design RNA

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T15:27:05.350372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:27:05.350372Z digest=sha256:380e5fdac371cac1d623661d0c14dce1f02b790460f3ad753fd86f66369cc3fa

Observation 99d1175d-9601-4c9f-b6ad-68a8057abd1d · outbound

This paper cites Generating focused molecule libraries for drug discovery with recurrent neural networks.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Generating focused molecule libraries for drug discovery with recurrent neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.508249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:27:05.353344Z digest=sha256:5358b98adb1e855ce483f7f7e8708a498d16314f88f42524db3af17470e1e9f4

Observation 63e3ef9b-069d-4a5e-aceb-5fe9c9fc2edf · outbound

This paper cites Taking the human out of the loop: A review of Bayesian optimization.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Taking the human out of the loop: A review of Bayesian optimization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.499728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:27:05.355759Z digest=sha256:6f34fca700e5402d87c5147df3ae4db84153af7c020b84853bfaa8c71461c1d7

Observation e1e5007d-28d2-4534-9f3c-75c47741be66 · outbound

This paper cites Deep generative design of RNA family sequences.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Deep generative design of RNA family sequences

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.490601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:27:05.358463Z digest=sha256:67a896c27aafe688f305bc6fe0380ded4002c794d0b162df6eeda53afb3c6aa8

Observation 691fb58c-9de0-4c37-8871-bde692e653c0 · outbound

This paper cites Transcriptome-wide identification and characterization of miRNAs from Pinus densata.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Transcriptome-wide identification and characterization of miRNAs from Pinus densata

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.481806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:27:05.361225Z digest=sha256:7d88c9642c3c081a3d5fdf75ff31128a5794b747fcea725060d2bcf0a1ab0b97

Observation ebc7103c-54ba-47e4-95d9-5c22310782f1 · outbound

This paper cites Deep learning for molecular generation.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Deep learning for molecular generation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.471176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:27:05.364194Z digest=sha256:17e108cfa0b2766e1795ffa5ff90e966c300c56b37b01f82d98fbc9d7fccb2cf

Observation 0c3110e3-f91f-48b3-8738-4b09ae4cd51e · outbound

This paper cites Chemical space mimicry for drug discovery.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Chemical space mimicry for drug discovery

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.462417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:27:05.366961Z digest=sha256:8f95fe4ff2997569d6517fa00d9df0a584c73465eb47a68f91a5b41fb68d25be

Observation 544ca1c5-8df9-4ce1-8b61-2021b48a6f77 · outbound

This paper cites Flexible RNA design under structure and sequence constraints using formal languages.

Efficient design of rna sequences with desired properties, structure, and motifs using a grammar variational autoencoder Flexible RNA design under structure and sequence constraints using formal languages

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:27:05.453165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:27:05.369649Z digest=sha256:5ce6a8e221d16dcc1f7007ad15cb598d55f0f19d173b74020f9219857c838e7f

Pith citing papers

No inbound Pith citation observations are available.