Paper Citation Record · LEDGER

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting

As of 19 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.17846.

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

pith.paper-citation-record.v1
2412.17846 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:23:49.608848Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy3
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da89694f-64b4-44e0-9baf-f12810825526 · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.550149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc192043-941d-4534-b78c-4c316f36f370 · outbound

This paper cites The Llama 3 Herd of Models.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.554525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bba77a41-6010-43a9-b355-8954694e8959 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting MiniLLM: On-Policy Distillation of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.558604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07aec9a-cc91-43a7-b8ad-a55cd0f3070e · outbound

This paper cites A Law of Next-Token Prediction in Large Language Models.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting A Law of Next-Token Prediction in Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.562582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation debbd286-4513-43a1-b1a1-f29d18efa5bd · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.566412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea102be-be1d-4e00-9638-4e01f5491abd · outbound

This paper cites https://www.reddit.com/r/LocalLLaMA/ 9 comments/1efg2wv/llama_31_405b_exl2_quant_ results/.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting https://www.reddit.com/r/LocalLLaMA/ 9 comments/1efg2wv/llama_31_405b_exl2_quant_ results/

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:23:49.835687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d97299f-0cf7-4975-b6f9-82caac028818 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Large Language Models are Zero-Shot Reasoners

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.575057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e894e154-00ef-49ed-bbc1-c8ba0c646212 · outbound

This paper cites Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.582812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f955d8be-c0bc-4e5e-816a-7c815a19c2f3 · outbound

This paper cites Teaching Small Language Models to Reason.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Teaching Small Language Models to Reason

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.586847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91132530-20a7-4a01-866f-d4880cc54a33 · outbound

This paper cites Large Language Models: A Survey.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Large Language Models: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.590700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27348bc0-d3b8-42e9-bff3-d9e90f18bf87 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting A Comprehensive Overview of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.595602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a01e56a-eb50-4a05-857b-2bb421e25bfd · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.600536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2e88d9-dc96-43c8-be4a-025c5597d74f · outbound

This paper cites Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.604801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402e9f50-a497-4766-a9aa-1cb70336a029 · outbound

This paper cites Llama 3.1 is available under the Llama 3.1 Community Licensing Agree- ment (Dubey et al., 2024).

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Llama 3.1 is available under the Llama 3.1 Community Licensing Agree- ment (Dubey et al., 2024)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:23:49.810537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e901acd5-414e-4f01-a910-80a18c3fb550 · outbound

This paper cites https://www.tuananhle.co.uk/ notes/reverse-forward-kl.html.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting https://www.tuananhle.co.uk/ notes/reverse-forward-kl.html

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:23:49.824283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9086ab5-f68d-440b-9362-42ea8c6469e5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.544741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 321f8bdc-fcf5-4d53-b2d9-135287feebc3 · outbound

This paper cites Universal Self-Consistency for Large Language Model Generation.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Universal Self-Consistency for Large Language Model Generation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.539881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc89b021-57b0-494c-8338-3169b300951a · outbound

This paper cites Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward.

Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T12:23:49.534996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.