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Paper Citation Record · LEDGER

Step-unrolled Denoising Autoencoders for Text Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2112.06749.

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

pith.paper-citation-record.v1
2112.06749 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:44.953930Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:07:24.278647Z

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 81fab3cd-c47d-411a-ad71-bedb58a52c8c · inbound

Continuous diffusion for categorical data cites this paper.

Continuous diffusion for categorical data Step-unrolled Denoising Autoencoders for Text Generation

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:30:22.309304Z

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=arxiv_source observed=2026-05-18T03:30:22.025578Z digest=sha256:4adfc0578ad38d779804df0593d1a7bc67dc87553d48087de6afd1452ff7441b

Observation c71652bd-c751-4c1c-8c2b-6c309e228e08 · inbound

Large Language Models to Diffusion Finetuning cites this paper.

Large Language Models to Diffusion Finetuning Step-unrolled Denoising Autoencoders for Text Generation

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:55.605080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:55.605080Z digest=sha256:3ff9625b6ca08fa42f048c7f615e807c67a798a998eedbdb99a23918315d8443

Observation ace6b773-229d-4588-bba1-e27c9aabced7 · inbound

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing cites this paper.

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing Step-unrolled Denoising Autoencoders for Text Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:44.953930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:05:44.953930Z digest=sha256:47a52ffb17495d8f6b9a88e225eb2e2984066b7fd1e75627aa229ce9b39b33d9

Observation 9845a5fa-96a8-49bc-9e8b-d389a042b02c · inbound

Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation cites this paper.

Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation Step-unrolled Denoising Autoencoders for Text Generation

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:19:46.803080Z

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=2026-05-21T07:17:58.742306Z digest=sha256:883fefaf5311481cc53bc3b13cddbceaabbd016e6e6922b846d33a789ecbdd43

Observation 0a6afd67-4b1e-456d-b5e8-51d7e56b0f21 · inbound

SurfDesign: Effective Protein Design on Molecular Surfaces cites this paper.

SurfDesign: Effective Protein Design on Molecular Surfaces Step-unrolled Denoising Autoencoders for Text Generation

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:33:54.307109Z

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=2026-06-29T19:24:06.143427Z digest=sha256:8659a31cde997d74daa4f4afa394433db83feaf41fd1269591ae059b92504364

Observation 6fc1befb-7166-4719-85fb-a6135de90656 · inbound

TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding cites this paper.

TextEconomizer: Enhancing Lossy Text Compression with Denoising Transformers and Entropy Coding Step-unrolled Denoising Autoencoders for Text Generation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:24.279940Z

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=arxiv_source observed=2026-06-27T19:54:39.953302Z digest=sha256:884ad85836c4fb0f3cb57cfd3196e95d1852275d4efee55226239c03b8e19a3a