Paper Citation Record · LEDGER

CoTexT: Multi-task Learning with Code-Text Transformer

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.08645.

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

pith.paper-citation-record.v1
2105.08645 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:33:45.864017Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:41:25.513460Z

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 4b7966ec-184d-4ee2-aca1-aad55d9c8caf · inbound

Does Self-Attention Need Separate Weights in Transformers? cites this paper.

Does Self-Attention Need Separate Weights in Transformers? CoTexT: Multi-task Learning with Code-Text Transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:33:45.864017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac53d72-d548-4d1f-b3f6-69daae852529 · inbound

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects cites this paper.

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: An Empirical Study on Popular Open-Source Projects CoTexT: Multi-task Learning with Code-Text Transformer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:08.736186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b558e35d-bd7e-4cd6-a278-b0a361b71492 · inbound

Detailed radial scale height profile of dust grains as probed by dust self-scattering in HL Tau cites this paper.

Detailed radial scale height profile of dust grains as probed by dust self-scattering in HL Tau CoTexT: Multi-task Learning with Code-Text Transformer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:46:59.407627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 411ce69b-5a83-41f1-86ba-7c5041fb6aa8 · inbound

SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches cites this paper.

SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches CoTexT: Multi-task Learning with Code-Text Transformer

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:48:16.025328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c815d90-5711-4fc5-92dc-3c81970410c7 · inbound

From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation cites this paper.

From Task to Tutorial: An Automated GUI Framework for Excel Tutorial Document and Video Creation CoTexT: Multi-task Learning with Code-Text Transformer

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:41:25.516114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.