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Paper Citation Record · LEDGER

Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.02924.

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

pith.paper-citation-record.v1
2212.02924 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:56:14.685238Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 69af48f5-2b53-4bca-a54b-4f7088384759 · inbound

Embodied CoT Distillation From LLM To Off-the-shelf Agents cites this paper.

Embodied CoT Distillation From LLM To Off-the-shelf Agents Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T14:56:14.685238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:56:14.685238Z digest=sha256:ccbf565caf0a75401ffe71c32e7588dcd412d78b56fa8adeb70d8b9e8620cb05

Observation 3ef45e05-641d-4297-b382-ff705e232f7b · inbound

HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification cites this paper.

HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification Controlled Text Generation using T5 based Encoder-Decoder Soft Prompt Tuning and Analysis of the Utility of Generated Text in AI

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:35:20.886718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T12:35:18.522605Z digest=sha256:d4ad016236644d2af77ff72e75dee79a8d9bae50914cd3609b612a540839004e