Paper Citation Record · LEDGER

EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.14541.

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

pith.paper-citation-record.v1
2403.14541 v2

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 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:59:43.137854Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:49:02.998186Z

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 57b17610-4e62-45ca-a163-3f24a15d14f8 · inbound

Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation cites this paper.

Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:43:11.346573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17964070-2181-40ee-92be-f38f3c8fbf35 · inbound

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation cites this paper.

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:52.622873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c4658772-3308-4078-a1c9-378023244285 · inbound

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement cites this paper.

Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.481421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fbad8ee6-54da-4b23-bbcf-e3674eaaa7c0 · inbound

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning cites this paper.

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:52:35.416721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 37ed917c-3711-471a-b897-a1801d5e9906 · inbound

Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization cites this paper.

Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:49:03.000581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a5453b6-9f7f-4fac-9492-5d595d8caa83 · inbound

Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncation cites this paper.

Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncation EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T10:59:43.137854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.